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authorSiddhesh Wani2015-05-25 14:46:31 +0530
committerSiddhesh Wani2015-05-25 14:46:31 +0530
commitdb464f35f5a10b58d9ed1085e0b462689adee583 (patch)
treede5cdbc71a54765d9fec33414630ae2c8904c9b8 /src/c/statisticsFunctions/variance
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Original Version
Diffstat (limited to 'src/c/statisticsFunctions/variance')
-rw-r--r--src/c/statisticsFunctions/variance/Makefile.am89
-rw-r--r--src/c/statisticsFunctions/variance/Makefile.in884
-rw-r--r--src/c/statisticsFunctions/variance/ccolumnvariancea.c34
-rw-r--r--src/c/statisticsFunctions/variance/crowvariancea.c22
-rw-r--r--src/c/statisticsFunctions/variance/cvariancea.c36
-rw-r--r--src/c/statisticsFunctions/variance/dcolumnvariancea.c32
-rw-r--r--src/c/statisticsFunctions/variance/drowvariancea.c23
-rw-r--r--src/c/statisticsFunctions/variance/dvariancea.c35
-rw-r--r--src/c/statisticsFunctions/variance/scolumnvariancea.c34
-rw-r--r--src/c/statisticsFunctions/variance/srowvariancea.c21
-rw-r--r--src/c/statisticsFunctions/variance/svariancea.c34
-rw-r--r--src/c/statisticsFunctions/variance/svn-prop.tmp12
-rw-r--r--src/c/statisticsFunctions/variance/testDoubleVariance.c335
-rw-r--r--src/c/statisticsFunctions/variance/testDoubleVarianceNono.c363
-rw-r--r--src/c/statisticsFunctions/variance/testFloatVariance.c329
-rw-r--r--src/c/statisticsFunctions/variance/testFloatVarianceNono.c364
-rw-r--r--src/c/statisticsFunctions/variance/test_DoubleVariance/testDoubleVariance.vcxproj178
-rw-r--r--src/c/statisticsFunctions/variance/test_DoubleVariance/testDoubleVariance.vcxproj.filters22
-rw-r--r--src/c/statisticsFunctions/variance/test_DoubleVarianceNono/testDoubleVarianceNono.vcxproj178
-rw-r--r--src/c/statisticsFunctions/variance/test_DoubleVarianceNono/testDoubleVarianceNono.vcxproj.filters22
-rw-r--r--src/c/statisticsFunctions/variance/test_FloatVariance/testFloatVariance.vcxproj178
-rw-r--r--src/c/statisticsFunctions/variance/test_FloatVariance/testFloatVariance.vcxproj.filters22
-rw-r--r--src/c/statisticsFunctions/variance/test_FloatVarianceNono/testFloatVarianceNono.vcxproj178
-rw-r--r--src/c/statisticsFunctions/variance/test_FloatVarianceNono/testFloatVarianceNono.vcxproj.filters22
-rw-r--r--src/c/statisticsFunctions/variance/zcolumnvariancea.c34
-rw-r--r--src/c/statisticsFunctions/variance/zrowvariancea.c21
-rw-r--r--src/c/statisticsFunctions/variance/zvariancea.c35
27 files changed, 3537 insertions, 0 deletions
diff --git a/src/c/statisticsFunctions/variance/Makefile.am b/src/c/statisticsFunctions/variance/Makefile.am
new file mode 100644
index 0000000..d6fa70e
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/Makefile.am
@@ -0,0 +1,89 @@
+##
+## Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+## Copyright (C) 2008-2008 - INRIA - Allan SIMON
+##
+## This file must be used under the terms of the CeCILL.
+## This source file is licensed as described in the file COPYING, which
+## you should have received as part of this distribution. The terms
+## are also available at
+## http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+##
+##
+
+libVariance_la_CFLAGS = -I $(top_builddir)/src/c/type \
+ -I $(top_builddir)/src/c/elementaryFunctions/includes \
+ -I $(top_builddir)/src/c/matrixOperations/includes \
+ -I $(top_builddir)/src/c/operations/includes \
+ -I ../includes
+
+instdir = $(top_builddir)/lib
+
+pkglib_LTLIBRARIES = libVariance.la
+
+libVariance_la_SOURCES = $(HEAD) $(SRC)
+
+SRC = svariancea.c \
+ scolumnvariancea.c \
+ dvariancea.c \
+ srowvariancea.c \
+ drowvariancea.c \
+ dcolumnvariancea.c \
+ cvariancea.c \
+ crowvariancea.c \
+ ccolumnvariancea.c \
+ zvariancea.c \
+ zrowvariancea.c \
+ zcolumnvariancea.c
+
+HEAD = ../includes/variance.h
+
+####
+# Checking Part
+####
+
+check_INCLUDES = -I $(top_builddir)/src/c/statisticsFunctions/includes \
+ -I $(top_builddir)/src/c/elementaryFunctions/includes \
+ -I $(top_builddir)/src/c/matrixOperations/includes \
+ -I $(top_builddir)/src/c/operations/includes \
+ -I $(top_builddir)/src/c/type
+
+check_LDADD = $(top_builddir)/src/c/type/libDoubleComplex.la \
+ $(top_builddir)/src/c/type/libFloatComplex.la \
+ $(top_builddir)/src/c/operations/addition/libAddition.la \
+ $(top_builddir)/src/c/operations/subtraction/libSubtraction.la \
+ $(top_builddir)/src/fortran/lapack/libscilapack.la \
+ $(top_builddir)/src/c/statisticsFunctions/variance/libVariance.la \
+ $(top_builddir)/src/c/statisticsFunctions/sum/libSum.la \
+ $(top_builddir)/src/c/statisticsFunctions/mean/libMean.la \
+ $(top_builddir)/src/c/elementaryFunctions/pow/libPow.la \
+ $(top_builddir)/src/c/elementaryFunctions/log/libLog.la \
+ $(top_builddir)/src/c/elementaryFunctions/exp/libExp.la \
+ $(top_builddir)/src/c/elementaryFunctions/cos/libCos.la \
+ $(top_builddir)/src/c/elementaryFunctions/sin/libSin.la \
+ $(top_builddir)/src/c/elementaryFunctions/cosh/libCosh.la \
+ $(top_builddir)/src/c/elementaryFunctions/sinh/libSinh.la \
+ $(top_builddir)/src/c/elementaryFunctions/sqrt/libSqrt.la \
+ $(top_builddir)/src/c/elementaryFunctions/log1p/libLog1p.la \
+ $(top_builddir)/src/c/elementaryFunctions/lnp1m1/libLnp1m1.la \
+ $(top_builddir)/src/c/auxiliaryFunctions/pythag/libPythag.la \
+ $(top_builddir)/src/c/auxiliaryFunctions/abs/libAbs.la \
+ $(top_builddir)/src/c/matrixOperations/transpose/libMatrixTranspose.la \
+ $(top_builddir)/src/c/operations/multiplication/libMultiplication.la \
+ $(top_builddir)/src/c/operations/division/libDivision.la \
+ $(top_builddir)/src/c/auxiliaryFunctions/conj/libConj.la \
+ @LIBMATH@
+
+check_PROGRAMS = testFloatVarianceNono testDoubleVarianceNono
+
+TESTS = testFloatVarianceNono testDoubleVarianceNono
+
+#
+# -*- Variance Tests -*-
+#
+testFloatVarianceNono_SOURCES = testFloatVarianceNono.c
+testFloatVarianceNono_CFLAGS = $(check_INCLUDES)
+testFloatVarianceNono_LDADD = $(check_LDADD)
+
+testDoubleVarianceNono_SOURCES =testDoubleVarianceNono.c
+testDoubleVarianceNono_CFLAGS = $(check_INCLUDES)
+testDoubleVarianceNono_LDADD = $(check_LDADD)
diff --git a/src/c/statisticsFunctions/variance/Makefile.in b/src/c/statisticsFunctions/variance/Makefile.in
new file mode 100644
index 0000000..9320286
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/Makefile.in
@@ -0,0 +1,884 @@
+# Makefile.in generated by automake 1.11.1 from Makefile.am.
+# @configure_input@
+
+# Copyright (C) 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002,
+# 2003, 2004, 2005, 2006, 2007, 2008, 2009 Free Software Foundation,
+# Inc.
+# This Makefile.in is free software; the Free Software Foundation
+# gives unlimited permission to copy and/or distribute it,
+# with or without modifications, as long as this notice is preserved.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY, to the extent permitted by law; without
+# even the implied warranty of MERCHANTABILITY or FITNESS FOR A
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+
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+host_triplet = @host@
+check_PROGRAMS = testFloatVarianceNono$(EXEEXT) \
+ testDoubleVarianceNono$(EXEEXT)
+TESTS = testFloatVarianceNono$(EXEEXT) testDoubleVarianceNono$(EXEEXT)
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+ libVariance_la-drowvariancea.lo \
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+ libVariance_la-cvariancea.lo libVariance_la-crowvariancea.lo \
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+ $(LIBTOOLFLAGS) --mode=link $(CCLD) $(libVariance_la_CFLAGS) \
+ $(CFLAGS) $(AM_LDFLAGS) $(LDFLAGS) -o $@
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+ -I $(top_builddir)/src/c/elementaryFunctions/includes \
+ -I $(top_builddir)/src/c/matrixOperations/includes \
+ -I $(top_builddir)/src/c/operations/includes \
+ -I ../includes
+
+instdir = $(top_builddir)/lib
+pkglib_LTLIBRARIES = libVariance.la
+libVariance_la_SOURCES = $(HEAD) $(SRC)
+SRC = svariancea.c \
+ scolumnvariancea.c \
+ dvariancea.c \
+ srowvariancea.c \
+ drowvariancea.c \
+ dcolumnvariancea.c \
+ cvariancea.c \
+ crowvariancea.c \
+ ccolumnvariancea.c \
+ zvariancea.c \
+ zrowvariancea.c \
+ zcolumnvariancea.c
+
+HEAD = ../includes/variance.h
+
+####
+# Checking Part
+####
+check_INCLUDES = -I $(top_builddir)/src/c/statisticsFunctions/includes \
+ -I $(top_builddir)/src/c/elementaryFunctions/includes \
+ -I $(top_builddir)/src/c/matrixOperations/includes \
+ -I $(top_builddir)/src/c/operations/includes \
+ -I $(top_builddir)/src/c/type
+
+check_LDADD = $(top_builddir)/src/c/type/libDoubleComplex.la \
+ $(top_builddir)/src/c/type/libFloatComplex.la \
+ $(top_builddir)/src/c/operations/addition/libAddition.la \
+ $(top_builddir)/src/c/operations/subtraction/libSubtraction.la \
+ $(top_builddir)/src/fortran/lapack/libscilapack.la \
+ $(top_builddir)/src/c/statisticsFunctions/variance/libVariance.la \
+ $(top_builddir)/src/c/statisticsFunctions/sum/libSum.la \
+ $(top_builddir)/src/c/statisticsFunctions/mean/libMean.la \
+ $(top_builddir)/src/c/elementaryFunctions/pow/libPow.la \
+ $(top_builddir)/src/c/elementaryFunctions/log/libLog.la \
+ $(top_builddir)/src/c/elementaryFunctions/exp/libExp.la \
+ $(top_builddir)/src/c/elementaryFunctions/cos/libCos.la \
+ $(top_builddir)/src/c/elementaryFunctions/sin/libSin.la \
+ $(top_builddir)/src/c/elementaryFunctions/cosh/libCosh.la \
+ $(top_builddir)/src/c/elementaryFunctions/sinh/libSinh.la \
+ $(top_builddir)/src/c/elementaryFunctions/sqrt/libSqrt.la \
+ $(top_builddir)/src/c/elementaryFunctions/log1p/libLog1p.la \
+ $(top_builddir)/src/c/elementaryFunctions/lnp1m1/libLnp1m1.la \
+ $(top_builddir)/src/c/auxiliaryFunctions/pythag/libPythag.la \
+ $(top_builddir)/src/c/auxiliaryFunctions/abs/libAbs.la \
+ $(top_builddir)/src/c/matrixOperations/transpose/libMatrixTranspose.la \
+ $(top_builddir)/src/c/operations/multiplication/libMultiplication.la \
+ $(top_builddir)/src/c/operations/division/libDivision.la \
+ $(top_builddir)/src/c/auxiliaryFunctions/conj/libConj.la \
+ @LIBMATH@
+
+
+#
+# -*- Variance Tests -*-
+#
+testFloatVarianceNono_SOURCES = testFloatVarianceNono.c
+testFloatVarianceNono_CFLAGS = $(check_INCLUDES)
+testFloatVarianceNono_LDADD = $(check_LDADD)
+testDoubleVarianceNono_SOURCES = testDoubleVarianceNono.c
+testDoubleVarianceNono_CFLAGS = $(check_INCLUDES)
+testDoubleVarianceNono_LDADD = $(check_LDADD)
+all: all-am
+
+.SUFFIXES:
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+ @for dep in $?; do \
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+ exit 1;; \
+ esac; \
+ done; \
+ echo ' cd $(top_srcdir) && $(AUTOMAKE) --foreign src/c/statisticsFunctions/variance/Makefile'; \
+ $(am__cd) $(top_srcdir) && \
+ $(AUTOMAKE) --foreign src/c/statisticsFunctions/variance/Makefile
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+ @case '$?' in \
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+ @list='$(pkglib_LTLIBRARIES)'; test -n "$(pkglibdir)" || list=; \
+ list2=; for p in $$list; do \
+ if test -f $$p; then \
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+ done; \
+ test -z "$$list2" || { \
+ echo " $(LIBTOOL) $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=install $(INSTALL) $(INSTALL_STRIP_FLAG) $$list2 '$(DESTDIR)$(pkglibdir)'"; \
+ $(LIBTOOL) $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=install $(INSTALL) $(INSTALL_STRIP_FLAG) $$list2 "$(DESTDIR)$(pkglibdir)"; \
+ }
+
+uninstall-pkglibLTLIBRARIES:
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+ for p in $$list; do \
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+ $(LIBTOOL) $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=uninstall rm -f "$(DESTDIR)$(pkglibdir)/$$f"; \
+ done
+
+clean-pkglibLTLIBRARIES:
+ -test -z "$(pkglib_LTLIBRARIES)" || rm -f $(pkglib_LTLIBRARIES)
+ @list='$(pkglib_LTLIBRARIES)'; for p in $$list; do \
+ dir="`echo $$p | sed -e 's|/[^/]*$$||'`"; \
+ test "$$dir" != "$$p" || dir=.; \
+ echo "rm -f \"$${dir}/so_locations\""; \
+ rm -f "$${dir}/so_locations"; \
+ done
+libVariance.la: $(libVariance_la_OBJECTS) $(libVariance_la_DEPENDENCIES)
+ $(libVariance_la_LINK) -rpath $(pkglibdir) $(libVariance_la_OBJECTS) $(libVariance_la_LIBADD) $(LIBS)
+
+clean-checkPROGRAMS:
+ @list='$(check_PROGRAMS)'; test -n "$$list" || exit 0; \
+ echo " rm -f" $$list; \
+ rm -f $$list || exit $$?; \
+ test -n "$(EXEEXT)" || exit 0; \
+ list=`for p in $$list; do echo "$$p"; done | sed 's/$(EXEEXT)$$//'`; \
+ echo " rm -f" $$list; \
+ rm -f $$list
+testDoubleVarianceNono$(EXEEXT): $(testDoubleVarianceNono_OBJECTS) $(testDoubleVarianceNono_DEPENDENCIES)
+ @rm -f testDoubleVarianceNono$(EXEEXT)
+ $(testDoubleVarianceNono_LINK) $(testDoubleVarianceNono_OBJECTS) $(testDoubleVarianceNono_LDADD) $(LIBS)
+testFloatVarianceNono$(EXEEXT): $(testFloatVarianceNono_OBJECTS) $(testFloatVarianceNono_DEPENDENCIES)
+ @rm -f testFloatVarianceNono$(EXEEXT)
+ $(testFloatVarianceNono_LINK) $(testFloatVarianceNono_OBJECTS) $(testFloatVarianceNono_LDADD) $(LIBS)
+
+mostlyclean-compile:
+ -rm -f *.$(OBJEXT)
+
+distclean-compile:
+ -rm -f *.tab.c
+
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+@am__fastdepCC_TRUE@ $(am__mv) $(DEPDIR)/$*.Tpo $(DEPDIR)/$*.Plo
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+@am__fastdepCC_TRUE@ $(am__mv) $(DEPDIR)/libVariance_la-scolumnvariancea.Tpo $(DEPDIR)/libVariance_la-scolumnvariancea.Plo
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+
+libVariance_la-dvariancea.lo: dvariancea.c
+@am__fastdepCC_TRUE@ $(LIBTOOL) --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libVariance_la_CFLAGS) $(CFLAGS) -MT libVariance_la-dvariancea.lo -MD -MP -MF $(DEPDIR)/libVariance_la-dvariancea.Tpo -c -o libVariance_la-dvariancea.lo `test -f 'dvariancea.c' || echo '$(srcdir)/'`dvariancea.c
+@am__fastdepCC_TRUE@ $(am__mv) $(DEPDIR)/libVariance_la-dvariancea.Tpo $(DEPDIR)/libVariance_la-dvariancea.Plo
+@AMDEP_TRUE@@am__fastdepCC_FALSE@ source='dvariancea.c' object='libVariance_la-dvariancea.lo' libtool=yes @AMDEPBACKSLASH@
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+
+libVariance_la-srowvariancea.lo: srowvariancea.c
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+
+libVariance_la-drowvariancea.lo: drowvariancea.c
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+
+libVariance_la-dcolumnvariancea.lo: dcolumnvariancea.c
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+libVariance_la-crowvariancea.lo: crowvariancea.c
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diff --git a/src/c/statisticsFunctions/variance/ccolumnvariancea.c b/src/c/statisticsFunctions/variance/ccolumnvariancea.c
new file mode 100644
index 0000000..8bf5526
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/ccolumnvariancea.c
@@ -0,0 +1,34 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution. The terms
+ * are also available at
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+#include "variance.h"
+
+void ccolumnvariancea(floatComplex *in, int lines, int columns, floatComplex* out){
+
+ int i = 0 ;
+
+ floatComplex* transp = (floatComplex*) malloc ( sizeof (double) *(unsigned int) (lines*columns));
+
+
+
+ ctransposea ( in , lines , columns , transp ) ;
+
+
+ for ( i = 0; i < lines ; i++)
+ out[i] = cvariancea ( transp + i*columns , columns ) ;
+
+
+ free (transp);
+
+
+}
diff --git a/src/c/statisticsFunctions/variance/crowvariancea.c b/src/c/statisticsFunctions/variance/crowvariancea.c
new file mode 100644
index 0000000..586b942
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/crowvariancea.c
@@ -0,0 +1,22 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution. The terms
+ * are also available at
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variance.h"
+
+void crowvariancea(floatComplex *in, int lines, int columns, floatComplex* out){
+
+ int i = 0 ;
+
+ for ( i = 0; i < columns ; i++)
+ out[i] = cvariancea ( in + i*lines , lines) ;
+}
+
diff --git a/src/c/statisticsFunctions/variance/cvariancea.c b/src/c/statisticsFunctions/variance/cvariancea.c
new file mode 100644
index 0000000..9d43928
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/cvariancea.c
@@ -0,0 +1,36 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution. The terms
+ * are also available at
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variance.h"
+
+floatComplex cvariancea(floatComplex *in, int size)
+{
+ int i = 0 ;
+
+ floatComplex sum = FloatComplex ( 0 , 0 ) ;
+ floatComplex temp = FloatComplex ( 0 , 0 ) ;
+ floatComplex variance = FloatComplex ( 0 , 0 );
+ floatComplex mean = cmeana ( in , size ) ;
+
+ for ( i = 0 ; i < size ; i++)
+ {
+ temp = cdiffs( in[i] , mean ) ;
+ sum = cadds ( sum , cpows ( temp , FloatComplex ( 2, 0) ) );
+ }
+
+ variance = crdivs (sum , FloatComplex ( (float)(size - 1),0 ));
+
+ return variance ;
+
+
+}
+
diff --git a/src/c/statisticsFunctions/variance/dcolumnvariancea.c b/src/c/statisticsFunctions/variance/dcolumnvariancea.c
new file mode 100644
index 0000000..2a8e89b
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/dcolumnvariancea.c
@@ -0,0 +1,32 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution. The terms
+ * are also available at
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variance.h"
+
+void dcolumnvariancea(double *in, int lines, int columns, double* out){
+
+ int i = 0 ;
+
+ double* transp = (double*) malloc ( sizeof (double) *(unsigned int) (lines*columns));
+
+
+
+ dtransposea ( in , lines , columns , transp ) ;
+
+
+ for ( i = 0; i < lines ; i++)
+ out[i] = dvariancea ( transp + i*columns , columns ) ;
+
+
+ free (transp);
+}
+
diff --git a/src/c/statisticsFunctions/variance/drowvariancea.c b/src/c/statisticsFunctions/variance/drowvariancea.c
new file mode 100644
index 0000000..1512336
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/drowvariancea.c
@@ -0,0 +1,23 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution. The terms
+ * are also available at
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+#include "variance.h"
+
+void drowvariancea(double *in, int lines, int columns, double* out){
+
+ int i = 0 ;
+
+ for ( i = 0; i < columns ; i++)
+ out[i] = dvariancea ( in + i*lines , lines ) ;
+
+}
diff --git a/src/c/statisticsFunctions/variance/dvariancea.c b/src/c/statisticsFunctions/variance/dvariancea.c
new file mode 100644
index 0000000..05ed4ff
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/dvariancea.c
@@ -0,0 +1,35 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution. The terms
+ * are also available at
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variance.h"
+
+double dvariancea(double *in, int size)
+{
+ int i = 0 ;
+
+ double temp = 0 ;
+ double variance = 0;
+
+ double mean = dmeana ( in, size );
+
+ for ( i = 0 ; i < size ; i++)
+ {
+ temp += dpows ( (in[i] - mean ) ,2 ) ;
+ }
+
+
+ variance = ( temp )/ ( size -1);
+
+
+ return variance ;
+}
+
diff --git a/src/c/statisticsFunctions/variance/scolumnvariancea.c b/src/c/statisticsFunctions/variance/scolumnvariancea.c
new file mode 100644
index 0000000..2c0ec08
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/scolumnvariancea.c
@@ -0,0 +1,34 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution. The terms
+ * are also available at
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+#include "variance.h"
+
+
+void scolumnvariancea(float *in, int lines, int columns, float* out){
+ int i = 0 ;
+
+ float* transp = (float*) malloc ( sizeof (floatComplex) *(unsigned int) (lines*columns));
+
+
+
+ stransposea ( in , lines , columns , transp ) ;
+
+
+ for ( i = 0; i < lines ; i++)
+ out[i] = svariancea ( transp + i*columns , columns ) ;
+
+
+ free (transp);
+
+}
+
diff --git a/src/c/statisticsFunctions/variance/srowvariancea.c b/src/c/statisticsFunctions/variance/srowvariancea.c
new file mode 100644
index 0000000..5f6ae30
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/srowvariancea.c
@@ -0,0 +1,21 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution. The terms
+ * are also available at
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variance.h"
+
+void srowvariancea(float *in, int lines, int columns, float* out){
+
+ int i = 0 ;
+
+ for ( i = 0; i < columns ; i++)
+ out[i] = svariancea ( in + i*lines , lines ) ;
+}
diff --git a/src/c/statisticsFunctions/variance/svariancea.c b/src/c/statisticsFunctions/variance/svariancea.c
new file mode 100644
index 0000000..426fc45
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/svariancea.c
@@ -0,0 +1,34 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution. The terms
+ * are also available at
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variance.h"
+
+float svariancea(float *in, int size)
+{
+ int i = 0 ;
+
+ float temp = 0 ;
+ float variance = 0;
+
+ float mean = smeana ( in , size );
+
+ for ( i = 0 ; i < size ; i++)
+ {
+ temp += spows ( (in[i] - mean ) ,2 ) ;
+ }
+
+
+ variance = ( temp )/ (float)( size -1);
+
+
+ return variance ;
+}
diff --git a/src/c/statisticsFunctions/variance/svn-prop.tmp b/src/c/statisticsFunctions/variance/svn-prop.tmp
new file mode 100644
index 0000000..4c36708
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/svn-prop.tmp
@@ -0,0 +1,12 @@
+
+.libs
+.deps
+Makefile
+testMatrixAddition
+testMatrixSubtraction
+testMatrixMultiplication
+testMatrixDivision
+*.o
+*.lo
+*.la
+
diff --git a/src/c/statisticsFunctions/variance/testDoubleVariance.c b/src/c/statisticsFunctions/variance/testDoubleVariance.c
new file mode 100644
index 0000000..dd3481b
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/testDoubleVariance.c
@@ -0,0 +1,335 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2006-2008 - INRIA - Bruno JOFRET
+ *
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution. The terms
+ * are also available at
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <assert.h>
+#include <stdio.h>
+
+#include "variance.h"
+
+#define SINGLE 1.323312455
+#define LINES 7
+#define COLUMNS 10
+#define MATRIX {0.102326436434,0.939044147730,0.638607255649,0.059883427806,0.311199211050,\
+ 0.377510951832,0.909709410276,0.928138985299,0.855155082885,0.308869514614,\
+0.729239261709,0.127006734256,0.242402311414,0.807912770193,0.621117659844,\
+ 0.081452373881,0.088844371960,0.587072817143,0.068080495112,0.995457543526,\
+0.835322400089,0.656235548668,0.767905956600,0.706818781793,0.187699332368,\
+ 0.568810169585,0.401039466728,0.397196868435,0.483212330844,0.161224133335,\
+0.932864250615,0.719208867755,0.262409000657,0.931377100293,0.596724558622,\
+ 0.310327019077,0.350161732174,0.104841318447,0.830732351169,0.804621329065,\
+0.050784428138,0.551920620725,0.125952405389,0.083156193607,0.420623748098,\
+ 0.168616071343,0.707545555662,0.104633864947,0.465604968835,0.489758284763,\
+0.167727907188,0.760689914692,0.454900974408,0.063926273491,0.87152507063,0.978668818716,\
+ 0.135898929089,0.484713065904,0.785042577423,0.049412418623,\
+0.947593610268,0.884073690511,0.212796610314,0.654832502827,0.007690255996,\
+ 0.031808692031,0.706323316786,0.008731670678,0.270014822017,0.153652121313}
+
+
+#define MATRIXROW {0.1688249423502767021521 , 0.0729081225272336097554 , 0.0579879770921138057438 , 0.1499989757031960635469 , 0.0850863194040760717485 , 0.1085086384507867873772 , 0.0969379859569881041637 , 0.1072816602642319844252 , 0.0913638718167188862429 , 0.1285778184208021535095 }
+#define MATRIXCOL { 0.1233078274276283442523, \
+ 0.1232135941992091865416 , \
+ 0.0540377259589001762707 , \
+ 0.0925512303008872161403 , \
+ 0.0555055644879708723338 , \
+ 0.1276299219577190779962 , \
+ 0.1385167433745558840386 }
+
+
+#define IMATRIX {0.05826747464016080,0.99946373142302036,0.85600351681932807,0.62329693790525198,\
+ 0.49792320514097810,0.44210509583353996,0.55833499459549785,0.09633230511099100,\
+ 0.80100952507928014,0.34466254524886608,\
+0.48831309471279383,0.95087061496451497,0.01332767866551876,0.76261807000264525,\
+ 0.74346329551190138,0.65157829830422997,0.57006288319826126,0.70580983115360141,\
+ 0.51323400903493166,0.64977857517078519,\
+0.80352442665025592,0.69910932797938585,0.69258948462083936,0.91169391758739948,\
+ 0.92454590043053031,0.27637310232967138,0.31692579621449113,0.86305770650506020,\
+ 0.20109100220724940,0.01225362811237574,\
+0.38199013099074364,0.96006405679509044,0.16440964583307505,0.59608811559155583,\
+ 0.72101737372577190,0.58661046391353011,0.99326277803629637,0.00761850038543344,\
+ 0.78608208894729614,0.89965870184823871,\
+0.43115562805905938,0.81857266277074814,0.83410377753898501,0.55516970623284578,\
+ 0.51345925079658628,0.04770902730524540,0.80747798969969153,0.80489510949701071,\
+ 0.78650354826822877,0.30791273340582848,\
+0.75731822755187750,0.53423820668831468,0.42618893459439278,0.85448804078623652,\
+ 0.92601215932518244,0.94169309409335256,0.85547966323792934,0.59637623047456145,\
+ 0.69515300076454878,0.18359116325154901,\
+0.01200280850753188,0.2255702270194888,0.34853330114856362,0.55313225090503693,\
+ 0.63695094687864184,0.96132039744406939,0.50314606027677655,0.11768362112343311,\
+ 0.42481321236118674,0.52963322307914495}
+
+#define RMATRIX {0.53868199465796351,0.65326874051243067,0.37497402401641011,0.60422550700604916,\
+ 0.33622304117307067,0.03531436901539564,0.33213760564103723,0.39493087679147720,\
+ 0.04170337272807956,0.87363853026181459,\
+0.65950810909271240,0.31221040291711688,0.15333442110568285,0.66478573577478528,\
+ 0.44319023378193378,0.40884594758972526,0.94536898937076330,0.67733758920803666,\
+ 0.18673646822571754,0.92331133363768458,\
+0.55921846115961671,0.75012728199362755,0.23257926432415843,0.57102064136415720,\
+ 0.60969385923817754,0.67336730472743511,0.07624059682711959,0.10437540244311094,\
+ 0.95672677317634225,0.19771346449851990,\
+0.05278092902153730,0.75808868417516351,0.17633479088544846,0.01146994484588504,\
+ 0.36732212174683809,0.19948644982650876,0.52714426256716251,0.21445603063330054,\
+ 0.94751045759767294,0.04272260749712586,\
+0.03257346292957664,0.53217577841132879,0.87635089689865708,0.15471007302403450,\
+ 0.25448470888659358,0.91815057490020990,0.72509902389720082,0.87545845471322536,\
+ 0.05635281419381499,0.01432112138718367,\
+0.57406943850219250,0.80984140699729323,0.01664119493216276,0.93888836959376931,\
+ 0.11264799535274506,0.66036546928808093,0.76042845565825701,0.25908330874517560,\
+ 0.88014078326523304,0.70332178613170981,\
+0.94614937948063016,0.78529163636267185,0.20241560926660895,0.10981105919927359,\
+ 0.75415370846167207,0.15320260450243950,0.59521253732964396,0.71318271104246378,\
+ 0.51107599260285497,0.52125945501029491}
+
+
+
+
+
+
+#define IMATRIXROW {-0.0419293790250184,-0.05416405376783551,+0.11775191182077104,+0.08015791690354153,+0.00011032748454003,\
+-0.10124210045965254,0.06720614014223115,+0.02470873836336094,-0.07082037296251543,-0.00621987869853545}
+
+#define RMATRIXROW {0.01439621349781126,-0.04697393442028135,-0.03018604392150223,0.09765990436118642,0.01606884471097247,\
+-0.00604250542333471,0.02870576510687836,-0.04985742926427023,0.12356001472881707,0.05909180726174274}
+
+#define IMATRIXCOL {-0.01904810719805961,+0.04121453132770223,+0.00378553967089328,\
++0.10307670507342410,+0.03497427750676810,+0.01761849804019567,-0.10182321471060848}
+
+#define RMATRIXCOL {-0.02739893277693160,0.01792852626358409,-0.02205084134302381,\
+-0.01012610864032573,0.07317682977907164,0.04762062457313784,0.00849011627117621}
+
+
+static void dvariancesTest (void ) {
+
+ double toTest = dvariances (SINGLE) ;
+
+ assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-16 ) ;
+}
+
+
+static void drowvariancesTest (void ) {
+
+ double toTest = drowvariances (SINGLE) ;
+
+ assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-16 ) ;
+}
+
+static void dcolumnvariancesTest (void) {
+
+ double toTest = dcolumnvariances (SINGLE) ;
+
+ assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-16 ) ;
+}
+
+
+static void zvariancesTest (void ) {
+
+ doubleComplex toTest = zvariances ( DoubleComplex ( SINGLE , SINGLE ) );
+
+ assert ( fabs ( zreals( toTest) - SINGLE ) / fabs( zreals( toTest)) < 1e-16 ) ;
+ assert ( fabs ( zimags( toTest) - SINGLE ) / fabs( zimags( toTest)) < 1e-16 ) ;
+}
+
+static void zrowvariancesTest (void ) {
+
+ doubleComplex toTest = zrowvariances ( DoubleComplex ( SINGLE , SINGLE ) );
+
+ assert ( fabs ( zreals( toTest) - SINGLE ) / fabs( zreals( toTest)) < 1e-16 ) ;
+ assert ( fabs ( zimags( toTest) - SINGLE ) / fabs( zimags( toTest)) < 1e-16 ) ;
+}
+
+static void zcolumnvariancesTest (void ) {
+
+ doubleComplex toTest = zrowvariances ( DoubleComplex ( SINGLE , SINGLE ) );
+
+ assert ( fabs ( zreals( toTest) - SINGLE ) / fabs( zreals( toTest)) < 1e-16 ) ;
+ assert ( fabs ( zimags( toTest) - SINGLE ) / fabs( zimags( toTest)) < 1e-16 ) ;
+}
+
+
+
+
+
+
+static void dvarianceaTest ( void){
+
+ double mtoTest[] = MATRIX ;
+ double result = 0.1007532974338590653352;
+ double out = dvariancea ( mtoTest , LINES*COLUMNS ); ;
+
+
+
+ printf ( "out : %1.20f\t result : %1.20f\t\n" , out , result ) ;
+
+
+
+ assert ( fabs ( out - result ) / fabs( out ) < 3e-15 ) ;
+
+}
+
+
+static void drowvarianceaTest ( void )
+{
+ int i = 0 ;
+
+ double mtoTest[] = MATRIX ;
+ double result[LINES] = MATRIXCOL ;
+ double out[LINES] ;
+
+ drowvariancea ( mtoTest , COLUMNS , LINES , out ) ;
+
+ for ( i = 0 ; i < LINES ; i++)
+ {
+ printf ( "ROWout : %1.20f\t result : %1.20f\t\n" , out[i] , result [i] ) ;
+ assert ( fabs ( out[i] - result[i] ) / fabs( out[i] ) < 3e-16 ) ;
+ }
+
+}
+
+static void dcolumnvarianceaTest ( void )
+{
+ int i = 0 ;
+
+ double mtoTest[] = MATRIX ;
+ double result[COLUMNS] = MATRIXROW ;
+ double out[ COLUMNS] ;
+
+
+
+ dcolumnvariancea ( mtoTest , COLUMNS, LINES , out ) ;
+
+ for ( i = 0 ; i < COLUMNS; i++)
+ {
+ printf ( "%dCOLout : %1.20f\t result : %1.20f\t\n" ,i, out[i] , result [i] ) ; }
+ for ( i = 0 ; i < COLUMNS; i++)
+ {
+ assert ( fabs ( out[i] - result[i] ) / fabs( out[i] ) < 3e-16 ) ;
+ }
+
+}
+
+
+
+
+static void zvarianceaTest ( void){
+
+ double rmtoTest [] = RMATRIX ;
+ double imtoTest [] = IMATRIX ;
+ doubleComplex Result = DoubleComplex ( 0.01225832057910708 , 0.01071188208687752 );
+
+ doubleComplex* mtoTest = DoubleComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS ) ;
+ doubleComplex out = zvariancea ( mtoTest , LINES*COLUMNS ); ;
+
+ assert ( fabs( zreals(out) - zreals (Result) ) / fabs (zreals (out)) < 3e-16 );
+ assert( fabs( zimags(out) - zimags (Result )) / fabs (zimags (out)) < 3e-15 );
+
+
+}
+
+static void zrowvarianceaTest (void ) {
+
+ int i = 0 ;
+
+ double rmtoTest [] = RMATRIX ;
+ double imtoTest [] = IMATRIX ;
+ double rResult [] = RMATRIXROW;
+ double iResult [] = IMATRIXROW ;
+
+ doubleComplex out[COLUMNS];
+ doubleComplex* mtoTest = DoubleComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS ) ;
+ doubleComplex* Result = DoubleComplexMatrix ( rResult , iResult , COLUMNS );
+
+ zrowvariancea ( mtoTest , LINES , COLUMNS , out ) ;
+
+ /*FIXME test failed under 1-e04 precision */
+ for ( i = 0 ; i < COLUMNS ; i++)
+ {
+ printf ( "%d out : %e %e \t result %e %e \n" , i , zreals(out[i]) , zimags(out[i]), zreals(Result[i]) ,zimags( Result[i]));
+ assert ( fabs( zreals(out[i]) - zreals (Result[i]) ) / fabs (zreals (out[i])) < 3e-8 );
+ assert( fabs( zimags(out[i]) - zimags (Result[i])) / fabs (zimags (out[i])) < 3e-15);
+
+ }
+}
+
+
+
+static void zcolumnvarianceaTest ( void) {
+ int i = 0 ;
+
+ double rmtoTest [] = RMATRIX ;
+ double imtoTest [] = IMATRIX ;
+ double rResult [] = RMATRIXCOL;
+ double iResult [] = IMATRIXCOL ;
+
+ doubleComplex out[LINES];
+ doubleComplex* mtoTest = DoubleComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS ) ;
+ doubleComplex* Result = DoubleComplexMatrix ( rResult , iResult , LINES );
+
+ zcolumnvariancea ( mtoTest , LINES , COLUMNS , out ) ;
+
+
+ for ( i = 0 ; i < LINES ; i++)
+ {
+ printf ( "%d out : %e %e \t result %e %e \n" , i , zreals(out[i]) , zimags(out[i]), zreals(Result[i]) ,zimags( Result[i]));
+ assert ( fabs( zreals(out[i]) - zreals (Result[i]) ) / fabs (zreals (out[i])) < 3e-16 );
+ assert( fabs( zimags(out[i]) - zimags (Result[i])) / fabs (zimags (out[i])) < 3e-16);
+
+ }
+
+
+
+}
+
+
+
+
+
+static int testDoubleVariance (void) {
+ printf("\n\n\n\n*********************\n");
+ printf("***** Double Tests ****\n");
+ printf("*********************\n");
+
+ printf("\n\t>>>>singleton real Tests\n");
+ dcolumnvariancesTest () ;
+ dvariancesTest () ;
+ drowvariancesTest () ;
+
+
+ printf("\n\t>>>>singleton complex Tests\n");
+
+ zrowvariancesTest () ;
+ zcolumnvariancesTest () ;
+ zvariancesTest () ;
+
+
+
+ printf("\n\t>>>>array real Tests\n");
+
+ dvarianceaTest () ;
+
+ dcolumnvarianceaTest () ;
+ drowvarianceaTest ( );
+
+
+ printf("\n\t>>>>array complex Tests\n");
+
+ zvarianceaTest () ;
+ zrowvarianceaTest ( );
+ zcolumnvarianceaTest () ;
+
+
+ return 0;
+}
+
+int main(void) {
+ assert(testDoubleVariance () == 0);
+ return 0;
+}
+
diff --git a/src/c/statisticsFunctions/variance/testDoubleVarianceNono.c b/src/c/statisticsFunctions/variance/testDoubleVarianceNono.c
new file mode 100644
index 0000000..39302d7
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/testDoubleVarianceNono.c
@@ -0,0 +1,363 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2006-2008 - INRIA - Bruno JOFRET
+ *
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution. The terms
+ * are also available at
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variance.h"
+#include "assert.h"
+
+static int doubleVariance(void){
+
+ int i;
+
+
+ /*test 1 */
+ {
+ double matrice[20]={1,5,9,4,8,2,6,1,5,9,3,7,2,6,1,4,8,3,7,2};
+ double out, *outColumns, *outRows;
+ double result= 7.5026315789473692063893;
+ double resultColumns[5]= {1.6666666666666667406815 ,1.6666666666666667406815 ,12.916666666666666074548 ,1.6666666666666667406815 ,16.666666666666667850905};
+ double resultRows[4]={10.300000000000000710543 , 10.300000000000000710543 , 6.7000000000000001776357 , 6.7000000000000001776357};
+
+
+
+ outColumns= (double*)malloc((unsigned int)5*sizeof(double));
+ outRows= (double*)malloc((unsigned int)4*sizeof(double));
+
+ out = dvariancea(matrice,20);
+ drowvariancea(matrice,5,4,outRows);
+ dcolumnvariancea(matrice,5,4,outColumns);
+
+
+ printf("Variance \n");
+ printf("%f\n",out);
+ printf("Row Variance \n");
+ for (i=0;i<4;i++) printf("%f\n",outRows[i]);
+ printf("Column Variance \n");
+ for (i=0;i<5;i++) printf("%f\n",outColumns[i]);
+
+
+ assert(fabs(out-result)/fabs(out) <1e-16);
+ for (i=0;i<4;i++)assert(fabs(outRows[i]-resultRows[i])/fabs(outRows[i]) <1e-16);
+
+ for (i=0;i<5;i++)assert(fabs(outColumns[i]-resultColumns[i])/fabs(outColumns[i]) <1e-16);
+
+ free(outColumns);
+ free(outRows);
+
+ }
+
+
+ /* test 2 */
+
+ {
+ double mtovar[70]={0.2113248654641211032867,0.7560438541695475578308,0.0002211346291005611420,
+ 0.3303270917385816574097,0.6653811042197048664093,0.6283917883411049842835,
+ 0.8497452358715236186981,
+ 0.6857310198247432708740,0.8782164813019335269928,0.0683740368112921714783,
+ 0.5608486062847077846527,0.6623569373041391372681,0.7263506767340004444122,
+ 0.1985143842175602912903,
+ 0.5442573162727057933807,0.2320747897028923034668,0.2312237196601927280426,
+ 0.2164632631465792655945,0.8833887814544141292572,0.6525134947150945663452,
+ 0.3076090742833912372589,
+ 0.9329616213217377662659,0.2146007861010730266571,0.3126419968903064727783,
+ 0.3616361008025705814362,0.2922266637906432151794,0.5664248815737664699554,
+ 0.4826471973210573196411,
+ 0.3321718913502991199493,0.5935094701126217842102,0.5015341597609221935272,
+ 0.4368587583303451538086,0.2693124809302389621735,0.6325744865462183952332,
+ 0.4051954015158116817474,
+ 0.9184707831591367721558,0.0437334333546459674835,0.4818508932366967201233,
+ 0.2639556000940501689911,0.4148103706538677215576,0.2806498021818697452545,
+ 0.1280058464035391807556,
+ 0.7783128595910966396332,0.2119030449539422988892,0.1121354666538536548615,
+ 0.6856895955279469490051,0.1531216683797538280487,0.6970850601792335510254,
+ 0.8415518426336348056793,
+ 0.4062024755403399467468,0.4094825475476682186127,0.8784125801175832748413,
+ 0.1138359685428440570831,0.1998337740078568458557,0.5618660743348300457001,
+ 0.5896177329123020172119,
+ 0.6853979662992060184479,0.8906224733218550682068,0.5042212805710732936859,
+ 0.3493615407496690750122,0.3873778772540390491486,0.9222898678854107856751,
+ 0.9488184261135756969452,
+ 0.3435337245464324951172,0.3760118731297552585602,0.7340940563008189201355,
+ 0.2615761472843587398529,0.4993493836373090744019,0.2638578419573605060577,
+ 0.5253563085570931434631};
+ double out2, *outColumns2, *outRows2;
+ double result2= 0.0651863337585355667736 ;
+ double resultColumns2[7]= {0.0650391675869589902526 ,
+ 0.0913789208052724344356 ,
+ 0.0837863718398224738282 ,
+ 0.0281545517812518443501 ,
+ 0.0549594706400152802073 ,
+ 0.0389978730537587012228 ,
+ 0.0796657637071630925218 ,
+ };
+ double resultRows2[10]={0.0988544518240001696130 , 0.0874673050908554156058 , 0.0678199050579095519264, 0.0591380787668954188696 , 0.0175386373980947855855 ,0.0831815708684833926556 , 0.1035239817400336881370 , 0.0657802543744439444096 , 0.0667446022405332184402 , 0.0287884625084994134891};
+
+
+ outColumns2= (double*)malloc((unsigned int)7*sizeof(double));
+ outRows2= (double*)malloc((unsigned int)10*sizeof(double));
+
+
+
+ out2 = dvariancea(mtovar,70);
+ drowvariancea(mtovar,7,10,outRows2);
+ dcolumnvariancea(mtovar,7,10,outColumns2);
+
+
+ printf("Variance 2 \n");
+ printf("%f\n",out2);
+ printf("Row Variance 2 \n");
+ for (i=0;i<10;i++) printf("%f\n",outRows2[i]);
+ printf("Column Variance 2 \n");
+ for (i=0;i<7;i++) printf("%f\n",outColumns2[i]);
+
+ assert(fabs(out2-result2)/fabs(out2) <1e-16);
+ for (i=0;i<10;i++)assert(fabs(outRows2[i]-resultRows2[i])/fabs(outRows2[i]) <1e-16);
+
+ for (i=0;i<7;i++)assert(fabs(outColumns2[i]-resultColumns2[i])/fabs(outColumns2[i]) <1e-16);
+
+ free(outColumns2);
+ free(outRows2);
+ }
+
+
+ return 0;
+}
+
+
+static int doubleComplexVariance(void){
+ int i;
+
+ /* test 1 */
+ {
+ double inR[6]={0.9677053210325539112091,0.5068534435704350471497,0.523297640960663557053,0.5596947595477104187012,
+ 0.5617307000793516635895,0.468176002614200115204};
+ double inI[6]={0.7794546722434461116791,0.7901071812957525253296,0.9808542062528431415558,0.8187066102400422096252,
+ 0.4256872381083667278290,0.2461560554802417755127};
+ double varianceR=- 0.0428404140538702279950;
+ double varianceI=0.0257955584577409802183;
+ double rowVarianceR[3]={0.106135488505625180666,- 0.0124835463256454722719,- 0.01173948205902856229};
+ double rowVarianceI[3]={- 0.0049092287964376275095,- 0.0059017052806824826100,0.0167959854763351026929};
+ double colVarianceR[2]={- 0.0183554755457089394111,- 0.1019751767306446843531};
+ double colVarianceI[2]={0.0109267784648201249365,0.0249829946888768111846};
+ doubleComplex *in, *rowVariance, *colVariance;
+ doubleComplex out, *outRow, *outCol;
+
+ in= (doubleComplex*)malloc ((unsigned int)6*sizeof(doubleComplex));
+ outRow= (doubleComplex*)malloc ((unsigned int)3*sizeof(doubleComplex));
+ outCol= (doubleComplex*)malloc ((unsigned int)2*sizeof(doubleComplex));
+
+ in=DoubleComplexMatrix(inR,inI,6);
+ rowVariance=DoubleComplexMatrix(rowVarianceR,rowVarianceI,3);
+ colVariance=DoubleComplexMatrix(colVarianceR,colVarianceI,2);
+
+
+ out=zvariancea(in,6);
+ printf("Variance \n");
+ printf("%f + %f *i\texpecting result : %f + %f *i\n",zreals(out),zimags(out) , varianceR , varianceI);
+
+ assert(fabs(zreals(out)-varianceR)/fabs(zreals(out)) <3e-16);
+ assert(fabs(zimags(out)-varianceI)/fabs(zimags(out)) <3e-15);
+
+
+
+
+
+ zrowvariancea(in,2,3,outRow);
+ printf("Row Variance \n");
+ for (i=0;i<3;i++) printf("%1.20f + %1.20f *i\n",zreals(outRow[i]),zimags(outRow[i]));
+
+
+ for (i=0;i<3;i++){
+ assert(fabs(zreals(outRow[i])-rowVarianceR[i])/fabs(zreals(outRow[i])) <3e-15);
+ assert(fabs(zimags(outRow[i])-rowVarianceI[i])/fabs(zimags(outRow[i])) <3e-14);
+ }
+
+
+
+ zcolumnvariancea(in,2,3,outCol);
+ printf("Column Variance \n");
+ for (i=0;i<2;i++) printf("%f + %f *i\n",zreals(outCol[i]),zimags(outCol[i]));
+
+
+ for (i=0;i<2;i++){
+ assert(fabs(zreals(outCol[i])-colVarianceR[i])/fabs(zreals(outCol[i])) <3e-15);
+ assert(fabs(zimags(outCol[i])-colVarianceI[i])/fabs(zimags(outCol[i])) <3e-15);
+ }
+
+ free(in);
+ free(outCol);
+ free(outRow);
+
+ }
+
+
+ printf("\n");
+ printf("\n");
+ printf("\n");
+ printf("\n");
+
+
+ /* test 2 */
+ {
+ double inR[70]={0.0453502028249204158783,0.2029444333165884017944,0.7844273825176060199738,
+ 0.2637536162510514259338,0.4383276398293673992157,0.866485897451639175415,
+ 0.3792142109014093875885,0.7668716078624129295349,0.6006621322594583034515,
+ 0.7856735605746507644653,
+0.7387115550227463245392,0.5544260339811444282532,0.9929149555973708629608,
+ 0.9757428467273712158203,0.3709622272290289402008,0.3032238213345408439636,
+ 0.9519520117901265621185,0.7127858083695173263550,0.119237006176263093948,
+ 0.5009163180366158485413,
+0.3290053526870906352997,0.4808946810662746429443,0.3303695977665483951569,
+ 0.6304475357756018638611,0.2117190784774720668793,0.4486023131757974624634,
+ 0.5914509710855782032013,0.6806742670014500617981,0.0739296111278235912323,
+ 0.9433694705367088317871,
+0.1286330693401396274567,0.2019080771133303642273,0.1969303428195416927338,
+ 0.8928690161556005477905,0.4617918957956135272980,0.6251291716471314430237,
+ 0.7059706593863666057587,0.7018169648945331573486,0.4087999747134745121002,
+ 0.0636221384629607200623,
+0.0657393387518823146820,0.5331004131585359573364,0.0331581872887909412384,
+ 0.3157835649326443672180,0.3785823243670165538788,0.4619523435831069946289,
+ 0.6287369825877249240875,0.2878515301272273063660,0.3292048736475408077240,
+ 0.4719233047217130661011,
+0.3353769634850323200226,0.5553069720044732093811,0.1196080814115703105927,
+ 0.7613999657332897186279,0.4790988476015627384186,0.2816969295963644981384,
+ 0.2380097783170640468597,0.3294205460697412490845,0.2306728032417595386505,
+ 0.2136296601966023445129,
+0.4054998042993247509003,0.3095371201634407043457,0.6762971603311598300934,
+ 0.970691631548106670380,0.5441796570084989070892,0.0204747971147298812866,
+ 0.8941364963538944721222,0.3490363890305161476135,0.1105365152470767498016,
+ 0.2023377753794193267822};
+ double inI[70]={1.0377217042259871959686,1.9830380710773169994354,-0.6786614381708204746246,
+ -1.7368789152242243289948,0.6849579229019582271576,-1.9756898251362144947052, 0.9018773441202938556671,0.4113956945948302745819,0.0771432374604046344757,
+ -2.6145569621585309505463,
+-0.8694803346879780292511,1.1954508102498948574066,1.0175080369226634502411,
+ -1.86952689336612820625,1.6495719677768647670746,-1.1282413271255791187286,
+ 1.7159116868861019611359,1.3512618443928658962250,1.6467350018210709095001,
+ -4.3247690196149051189423,
+-1.1214177873916923999786,0.3549467395059764385223,1.5090364827774465084076,
+ 0.0271988785825669765472,-0.3927204073406755924225,-2.2866433826275169849396,
+ 2.4531399612314999103546,1.2140426929108798503876,0.1123848785646259784699,
+ -1.2278760573826730251312,
+0.5748759503476321697235,0.1001535071991384029388,0.7154782521538436412811,
+ -0.3598340046592056751251,0.1114491275511682033539,-1.0214430955238640308380,
+ 1.8411546354182064533234,1.3313704966567456722260,0.107393887359648942947,
+ -2.1405860441736876964569,
+-0.1921784919686615467072,-0.0941377175040543079376,-0.3007089742459356784821,
+ -1.6332105011679232120514,-0.9827875629998743534088,-4.0793808070011436939240,
+ 1.6021160488016903400421,0.5996482106857001781464,-1.0103867049328982830048,
+ -1.9795853956602513790131,
+-0.7019297261722385883331,0.1910370937548577785492,0.5148729826323688030243,
+ -1.2210475285537540912628,1.4409833527170121669769,-2.0624672439880669116974,
+ 2.2999203805811703205109,1.6434787488542497158051,-0.0813916879706084728241,
+ -4.3653216282837092876434,
+0.0896512451581656932831,1.4530082489363849163055,-0.1911182911135256290436,
+ -1.5278804996050894260406,-0.8655951828695833683014,-2.6959278550930321216583,
+ 1.089711368549615144730,0.2611377011053264141083,-0.0787748913280665874481,
+ -1.675187868531793355942};
+ double varianceR=- 2.3201230329620456949158;
+ double varianceI=0.0135359053960125846894;
+ double rowVarianceR[7]={- 2.1748250359163439071608,- 4.0055927597555047725564,- 1.9380991813636070375537,- 1.211164632384367667584,
+ - 2.3819157100812309302285,- 3.865411523472068289209,- 1.5488286339908912125907};
+ double rowVarianceI[7]={- 0.5161401892195496277083,- 0.0302397956223948334575,0.0072526988331105511632,0.2035074619460965072992,
+ - 0.0227578793067023492369,0.0176453877563822227048,0.2048099414748655033858};
+ double colVarianceR[10]={ - 0.5673920596394929072304,
+ - 0.6095831761740567733554,
+ - 0.4837275005370789138226,
+ - 0.4518709923747168399899,
+ - 1.1155710732654480210613,
+ - 0.9922425930742954092168,
+ - 0.2615272073355465187738,
+ - 0.2448899237808548345896,
+ - 0.5783271525148965253038,
+ - 1.4662540245146995498970 };
+ double colVarianceI[10]={ - 0.2519451287679840834066,
+ - 0.1132720366896080160801,
+ - 0.0393753052279357945720 ,
+ 0.0678956480014177715665 ,
+ 0.0165011281984272333012 ,
+ 0.1043646242921155153915 ,
+ - 0.0697520473529744805541 ,
+ 0.0395755738577838397929 ,
+ - 0.0906906077772287183558 ,
+ 0.2030521845859689644698 };
+ doubleComplex *in, *rowVariance, *colVariance;
+ doubleComplex out, *outRow, *outCol;
+
+ in= (doubleComplex*)malloc ((unsigned int)70*sizeof(doubleComplex));
+ outRow= (doubleComplex*)malloc ((unsigned int)7*sizeof(doubleComplex));
+ outCol= (doubleComplex*)malloc ((unsigned int)10*sizeof(doubleComplex));
+
+ in=DoubleComplexMatrix(inR,inI,70);
+ rowVariance=DoubleComplexMatrix(rowVarianceR,rowVarianceI,7);
+ colVariance=DoubleComplexMatrix(colVarianceR,colVarianceI,10);
+
+
+ out=zvariancea(in,70);
+ printf("Variance 2 \n");
+ printf("%f + %f *i\n",zreals(out),zimags(out));
+
+ assert(fabs(zreals(out)-varianceR)/fabs(zreals(out)) <3e-16);
+ assert(fabs(zimags(out)-varianceI)/fabs(zimags(out)) <3e-16);
+
+
+
+
+
+ zrowvariancea(in,10,7,outRow);
+ printf("Row Variance 2 \n");
+ for (i=0;i<7;i++) printf("%1.20f + %1.20f *i\n",zreals(outRow[i]),zimags(outRow[i]));
+
+
+ for (i=0;i<7;i++){
+ assert(fabs(zreals(outRow[i])-rowVarianceR[i])/fabs(zreals(outRow[i])) <3e-15);
+ assert(fabs(zimags(outRow[i])-rowVarianceI[i])/fabs(zimags(outRow[i])) <3e-14);
+ }
+
+
+
+ zcolumnvariancea(in,10,7,outCol);
+ printf("Column Variance 2 \n");
+ for (i=0;i<10;i++) printf("%f + %f *i\n",zreals(outCol[i]),zimags(outCol[i]));
+
+
+ for (i=0;i<10;i++){
+ assert(fabs(zreals(outCol[i])-colVarianceR[i])/fabs(zreals(outCol[i])) <3e-15);
+ assert(fabs(zimags(outCol[i])-colVarianceI[i])/fabs(zimags(outCol[i])) <3e-14);
+ }
+ free(in);
+ free(outCol);
+ free(outRow);
+
+ }
+
+ return 0;
+}
+
+
+
+
+
+static int testDoubleVariance (void) {
+ printf("\n\n\n\n*********************\n");
+ printf("***** Double Tests Nono****\n");
+ printf("*********************\n");
+ assert(doubleVariance()==0);
+ assert(doubleComplexVariance()==0);
+
+
+ return 0;
+}
+
+int main(void) {
+ assert(testDoubleVariance () == 0);
+ return 0;
+}
+
diff --git a/src/c/statisticsFunctions/variance/testFloatVariance.c b/src/c/statisticsFunctions/variance/testFloatVariance.c
new file mode 100644
index 0000000..5a22a9c
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/testFloatVariance.c
@@ -0,0 +1,329 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2006-2008 - INRIA - Bruno JOFRET
+ *
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution. The terms
+ * are also available at
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <assert.h>
+#include <stdio.h>
+
+#include "variance.h"
+
+#define SINGLE 1.323312455f
+#define LINES 7
+#define COLUMNS 10
+#define MATRIX {0.102326436434f,0.939044147730f,0.638607255649f,0.059883427806f,0.311199211050f,\
+ 0.377510951832f,0.909709410276f,0.928138985299f,0.855155082885f,0.308869514614f,\
+0.729239261709f,0.127006734256f,0.242402311414f,0.807912770193f,0.621117659844f,\
+ 0.081452373881f,0.088844371960f,0.587072817143f,0.068080495112f,0.995457543526f,\
+0.835322400089f,0.656235548668f,0.767905956600f,0.706818781793f,0.187699332368f,\
+ 0.568810169585f,0.401039466728f,0.397196868435f,0.483212330844f,0.161224133335f,\
+0.932864250615f,0.719208867755f,0.262409000657f,0.931377100293f,0.596724558622f,\
+ 0.310327019077f,0.350161732174f,0.104841318447f,0.830732351169f,0.804621329065f,\
+0.050784428138f,0.551920620725f,0.125952405389f,0.083156193607f,0.420623748098f,\
+ 0.168616071343f,0.707545555662f,0.104633864947f,0.465604968835f,0.489758284763f,\
+0.167727907188f,0.760689914692f,0.454900974408f,0.063926273491f,0.87152507063f,0.978668818716f,\
+ 0.135898929089f,0.484713065904f,0.785042577423f,0.049412418623f,\
+0.947593610268f,0.884073690511f,0.212796610314f,0.654832502827f,0.007690255996f,\
+ 0.031808692031f,0.706323316786f,0.008731670678f,0.270014822017f,0.153652121313f}
+
+
+#define MATRIXROW {0.168824942350f,0.072908122527f,0.057987977092f,0.149998975703f,0.085086319404f,\
+0.108508638451f,0.096937985957f,0.107281660264f,0.091363871817f,0.128577818421f}
+
+#define MATRIXCOL { 0.123307827428f,0.123213594199f,0.054037725959f,0.092551230301f,0.055505564488f,\
+0.127629921958f,0.138516743375f }
+
+
+#define IMATRIX {0.05826747464016080f,0.99946373142302036f,0.85600351681932807f,0.62329693790525198f,\
+ 0.49792320514097810f,0.44210509583353996f,0.55833499459549785f,0.09633230511099100f,\
+ 0.80100952507928014f,0.34466254524886608f,\
+0.48831309471279383f,0.95087061496451497f,0.01332767866551876f,0.76261807000264525f,\
+ 0.74346329551190138f,0.65157829830422997f,0.57006288319826126f,0.70580983115360141f,\
+ 0.51323400903493166f,0.64977857517078519f,\
+0.80352442665025592f,0.69910932797938585f,0.69258948462083936f,0.91169391758739948f,\
+ 0.92454590043053031f,0.27637310232967138f,0.31692579621449113f,0.86305770650506020f,\
+ 0.20109100220724940f,0.01225362811237574f,\
+0.38199013099074364f,0.96006405679509044f,0.16440964583307505f,0.59608811559155583f,\
+ 0.72101737372577190f,0.58661046391353011f,0.99326277803629637f,0.00761850038543344f,\
+ 0.78608208894729614f,0.89965870184823871f,\
+0.43115562805905938f,0.81857266277074814f,0.83410377753898501f,0.55516970623284578f,\
+ 0.51345925079658628f,0.04770902730524540f,0.80747798969969153f,0.80489510949701071f,\
+ 0.78650354826822877f,0.30791273340582848f,\
+0.75731822755187750f,0.53423820668831468f,0.42618893459439278f,0.85448804078623652f,\
+ 0.92601215932518244f,0.94169309409335256f,0.85547966323792934f,0.59637623047456145f,\
+ 0.69515300076454878f,0.18359116325154901f,\
+0.01200280850753188f,0.2255702270194888f,0.34853330114856362f,0.55313225090503693f,\
+ 0.63695094687864184f,0.96132039744406939f,0.50314606027677655f,0.11768362112343311f,\
+ 0.42481321236118674f,0.52963322307914495f}
+
+#define RMATRIX {0.53868199465796351f,0.65326874051243067f,0.37497402401641011f,0.60422550700604916f,\
+ 0.33622304117307067f,0.03531436901539564f,0.33213760564103723f,0.39493087679147720f,\
+ 0.04170337272807956f,0.87363853026181459f,\
+0.65950810909271240f,0.31221040291711688f,0.15333442110568285f,0.66478573577478528f,\
+ 0.44319023378193378f,0.40884594758972526f,0.94536898937076330f,0.67733758920803666f,\
+ 0.18673646822571754f,0.92331133363768458f,\
+0.55921846115961671f,0.75012728199362755f,0.23257926432415843f,0.57102064136415720f,\
+ 0.60969385923817754f,0.67336730472743511f,0.07624059682711959f,0.10437540244311094f,\
+ 0.95672677317634225f,0.19771346449851990f,\
+0.05278092902153730f,0.75808868417516351f,0.17633479088544846f,0.01146994484588504f,\
+ 0.36732212174683809f,0.19948644982650876f,0.52714426256716251f,0.21445603063330054f,\
+ 0.94751045759767294f,0.04272260749712586f,\
+0.03257346292957664f,0.53217577841132879f,0.87635089689865708f,0.15471007302403450f,\
+ 0.25448470888659358f,0.91815057490020990f,0.72509902389720082f,0.87545845471322536f,\
+ 0.05635281419381499f,0.01432112138718367f,\
+0.57406943850219250f,0.80984140699729323f,0.01664119493216276f,0.93888836959376931f,\
+ 0.11264799535274506f,0.66036546928808093f,0.76042845565825701f,0.25908330874517560f,\
+ 0.88014078326523304f,0.70332178613170981f,\
+0.94614937948063016f,0.78529163636267185f,0.20241560926660895f,0.10981105919927359f,\
+ 0.75415370846167207f,0.15320260450243950f,0.59521253732964396f,0.71318271104246378f,\
+ 0.51107599260285497f,0.52125945501029491f}
+
+
+
+
+
+
+#define IMATRIXROW {-0.0419293790250184f,-0.05416405376783551f,+0.11775191182077104f,+0.08015791690354153f,+0.00011032748454003f,\
+-0.10124210045965254f,0.06720614014223115f,+0.02470873836336094f,-0.07082037296251543f,-0.00621987869853545f}
+
+#define RMATRIXROW {0.01439621349781126f,-0.04697393442028135f,-0.03018604392150223f,0.09765990436118642f,0.01606884471097247f,\
+-0.00604250542333471f,0.02870576510687836f,-0.04985742926427023f,0.12356001472881707f,0.05909180726174274f}
+
+#define IMATRIXCOL {-0.01904810719805961f,+0.04121453132770223f,+0.00378553967089328f,\
++0.10307670507342410f,+0.03497427750676810f,+0.01761849804019567f,-0.10182321471060848f}
+
+#define RMATRIXCOL {-0.02739893277693160f,0.01792852626358409f,-0.02205084134302381f,\
+-0.01012610864032573f,0.07317682977907164f,0.04762062457313784f,0.00849011627117621f}
+
+
+static void svariancesTest (void ) {
+
+ float toTest = svariances (SINGLE) ;
+
+ assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-06 ) ;
+}
+
+
+static void srowvariancesTest (void ) {
+
+ float toTest = srowvariances (SINGLE) ;
+
+ assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-06 ) ;
+}
+
+static void scolumnvariancesTest (void) {
+
+ float toTest = scolumnvariances (SINGLE) ;
+
+ assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-06 ) ;
+}
+
+
+static void cvariancesTest (void ) {
+
+ floatComplex toTest = cvariances ( FloatComplex ( SINGLE , SINGLE ) );
+
+ assert ( fabs ( creals( toTest) - SINGLE ) / fabs( creals( toTest)) < 1e-06 ) ;
+ assert ( fabs ( cimags( toTest) - SINGLE ) / fabs( cimags( toTest)) < 1e-06 ) ;
+}
+
+static void crowvariancesTest (void ) {
+
+ floatComplex toTest = crowvariances ( FloatComplex ( SINGLE , SINGLE ) );
+
+ assert ( fabs ( creals( toTest) - SINGLE ) / fabs( creals( toTest)) < 1e-06 ) ;
+ assert ( fabs ( cimags( toTest) - SINGLE ) / fabs( cimags( toTest)) < 1e-06 ) ;
+}
+
+static void ccolumnvariancesTest (void ) {
+
+ floatComplex toTest = crowvariances ( FloatComplex ( SINGLE , SINGLE ) );
+
+ assert ( fabs ( creals( toTest) - SINGLE ) / fabs( creals( toTest)) < 1e-06 ) ;
+ assert ( fabs ( cimags( toTest) - SINGLE ) / fabs( cimags( toTest)) < 1e-06 ) ;
+}
+
+
+
+
+
+
+static void svarianceaTest ( void){
+
+ float mtoTest[] = MATRIX ;
+ float result = 0.100753297434f;
+ float out = svariancea ( mtoTest , LINES*COLUMNS ); ;
+
+
+
+ printf ( "out : %e\t result : %e\t\n" , out , result ) ;
+
+
+
+ assert ( fabs ( out - result ) / fabs( out ) < 1e-06 ) ;
+
+}
+
+
+static void srowvarianceaTest ( void )
+{
+ int i = 0 ;
+
+ float mtoTest[] = MATRIX ;
+ float result[COLUMNS] = MATRIXROW ;
+ float out[COLUMNS] ;
+
+ srowvariancea ( mtoTest , LINES , COLUMNS , out ) ;
+
+ for ( i = 0 ; i < COLUMNS ; i++)
+ {
+ printf ( "ROWout : %e\t result : %e\t\n" , out[i] , result [i] ) ;
+ assert ( fabs ( out[i] - result[i] ) / fabs( out[i] ) < 1e-06 ) ;
+ }
+
+}
+
+static void scolumnvarianceaTest ( void )
+{
+ int i = 0 ;
+
+ float mtoTest[] = MATRIX ;
+ float result[LINES] = MATRIXCOL ;
+ float out[ LINES] ;
+
+
+
+ scolumnvariancea ( mtoTest , LINES , COLUMNS , out ) ;
+
+ for ( i = 0 ; i < LINES ; i++)
+ {
+ printf ( "%dCOLout : %e\t result : %e\t\n" ,i, out[i] , result [i] ) ;
+ /* assert ( fabs ( out[i] - result[i] ) / fabs( out[i] ) < 1e-05 ) ;*/
+ }
+
+}
+
+
+
+
+static void cvarianceaTest ( void){
+
+ float rmtoTest [] = RMATRIX ;
+ float imtoTest [] = IMATRIX ;
+ floatComplex Result = FloatComplex ( 0.01225832057910708f , 0.01071188208687752f );
+
+ floatComplex* mtoTest = FloatComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS ) ;
+ floatComplex out = cvariancea ( mtoTest , LINES*COLUMNS ); ;
+
+ assert ( fabs( creals(out) - creals (Result) ) / fabs (creals (out)) < 1e-06 );
+ assert( fabs( cimags(out) - cimags (Result )) / fabs (cimags (out)) < 1e-06 );
+
+
+}
+
+static void crowvarianceaTest (void ) {
+
+ int i = 0 ;
+
+ float rmtoTest [] = RMATRIX ;
+ float imtoTest [] = IMATRIX ;
+ float rResult [] = RMATRIXROW;
+ float iResult [] = IMATRIXROW ;
+
+ floatComplex out[COLUMNS];
+ floatComplex* mtoTest = FloatComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS ) ;
+ floatComplex* Result = FloatComplexMatrix ( rResult , iResult , COLUMNS );
+
+ crowvariancea ( mtoTest , LINES , COLUMNS , out ) ;
+
+ /*FIXME test failed under 1-e04 precision */
+ for ( i = 0 ; i < COLUMNS ; i++)
+ {
+ printf ( "%d out : %e %e \t result %e %e \n" , i , creals(out[i]) , cimags(out[i]), creals(Result[i]) ,cimags( Result[i]));
+ assert ( fabs( creals(out[i]) - creals (Result[i]) ) / fabs (creals (out[i])) < 3e-6 );
+ assert( fabs( cimags(out[i]) - cimags (Result[i])) / fabs (cimags (out[i])) < 3e-6);
+
+ }
+}
+
+
+
+static void ccolumnvarianceaTest ( void) {
+ int i = 0 ;
+
+ float rmtoTest [] = RMATRIX ;
+ float imtoTest [] = IMATRIX ;
+ float rResult [] = RMATRIXCOL;
+ float iResult [] = IMATRIXCOL ;
+
+ floatComplex out[LINES];
+ floatComplex* mtoTest = FloatComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS ) ;
+ floatComplex* Result = FloatComplexMatrix ( rResult , iResult , LINES );
+
+ ccolumnvariancea ( mtoTest , LINES , COLUMNS , out ) ;
+
+
+ for ( i = 0 ; i < LINES ; i++)
+ {
+ printf ( "%d out : %e %e \t result %e %e \n" , i , creals(out[i]) , cimags(out[i]), creals(Result[i]) ,cimags( Result[i]));
+ assert ( fabs( creals(out[i]) - creals (Result[i]) ) / fabs (creals (out[i])) < 1e-06 );
+ assert( fabs( cimags(out[i]) - cimags (Result[i])) / fabs (cimags (out[i])) < 1e-06);
+
+ }
+
+
+
+}
+
+
+
+
+
+static int testFloatVariance (void) {
+ printf("\n\n\n\n*********************\n");
+ printf("***** Float Tests ****\n");
+ printf("*********************\n");
+
+ printf("\n\t>>>>singleton real Tests\n");
+ scolumnvariancesTest () ;
+ svariancesTest () ;
+ srowvariancesTest () ;
+
+
+ printf("\n\t>>>>singleton complex Tests\n");
+
+ crowvariancesTest () ;
+ ccolumnvariancesTest () ;
+ cvariancesTest () ;
+
+
+
+ printf("\n\t>>>>array real Tests\n");
+
+ svarianceaTest () ;
+
+ scolumnvarianceaTest () ;
+ srowvarianceaTest ( );
+
+
+ printf("\n\t>>>>array complex Tests\n");
+
+ cvarianceaTest () ;
+ crowvarianceaTest ( );
+ ccolumnvarianceaTest () ;
+
+
+ return 0;
+}
+
+int main(void) {
+ assert(testFloatVariance () == 0);
+ return 0;
+}
diff --git a/src/c/statisticsFunctions/variance/testFloatVarianceNono.c b/src/c/statisticsFunctions/variance/testFloatVarianceNono.c
new file mode 100644
index 0000000..a8d2545
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/testFloatVarianceNono.c
@@ -0,0 +1,364 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2006-2008 - INRIA - Bruno JOFRET
+ *
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution. The terms
+ * are also available at
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variance.h"
+#include "assert.h"
+
+static int floatVariance(void){
+
+ int i;
+
+
+ /*test 1 */
+ {
+ float matrice[20]={1.0f,5.0f,9.0f,4.0f,8.0f,2.0f,6.0f,1.0f,5.0f,9.0f,3.0f,7.0f,2.0f,6.0f,1.0f,4.0f,8.0f,3.0f,7.0f,2.0f};
+ float out, *outColumns, *outRows;
+ float result= 7.5026315789473692063893f;
+ float resultColumns[5]= {1.6666666666666667406815f ,1.6666666666666667406815f ,12.916666666666666074548f ,1.6666666666666667406815f ,16.666666666666667850905f};
+ float resultRows[4]={10.300000000000000710543f , 10.300000000000000710543f , 6.7000000000000001776357f , 6.7000000000000001776357f};
+
+
+
+ outColumns= (float*)malloc((unsigned int)5*sizeof(float));
+ outRows= (float*)malloc((unsigned int)4*sizeof(float));
+
+ out = svariancea(matrice,20);
+ srowvariancea(matrice,5,4,outRows);
+ scolumnvariancea(matrice,5,4,outColumns);
+
+
+ printf("Variance \n");
+ printf("%f\n",out);
+ printf("Row Variance \n");
+ for (i=0;i<4;i++) printf("%f\n",outRows[i]);
+ printf("Column Variance \n");
+ for (i=0;i<5;i++) printf("%f\n",outColumns[i]);
+
+
+ assert(fabs(out-result)/fabs(out) <1e-06);
+ for (i=0;i<4;i++)assert(fabs(outRows[i]-resultRows[i])/fabs(outRows[i]) <1e-06);
+
+ for (i=0;i<5;i++)assert(fabs(outColumns[i]-resultColumns[i])/fabs(outColumns[i]) <1e-06);
+
+ free(outColumns);
+ free(outRows);
+ }
+
+
+ /* test 2 */
+
+ {
+ float mtovar[70]={0.2113248654641211032867f,0.7560438541695475578308f,0.0002211346291005611420f,
+ 0.3303270917385816574097f,0.6653811042197048664093f,0.6283917883411049842835f,
+ 0.8497452358715236186981f,
+ 0.6857310198247432708740f,0.8782164813019335269928f,0.0683740368112921714783f,
+ 0.5608486062847077846527f,0.6623569373041391372681f,0.7263506767340004444122f,
+ 0.1985143842175602912903f,
+ 0.5442573162727057933807f,0.2320747897028923034668f,0.2312237196601927280426f,
+ 0.2164632631465792655945f,0.8833887814544141292572f,0.6525134947150945663452f,
+ 0.3076090742833912372589f,
+ 0.9329616213217377662659f,0.2146007861010730266571f,0.3126419968903064727783f,
+ 0.3616361008025705814362f,0.2922266637906432151794f,0.5664248815737664699554f,
+ 0.4826471973210573196411f,
+ 0.3321718913502991199493f,0.5935094701126217842102f,0.5015341597609221935272f,
+ 0.4368587583303451538086f,0.2693124809302389621735f,0.6325744865462183952332f,
+ 0.4051954015158116817474f,
+ 0.9184707831591367721558f,0.0437334333546459674835f,0.4818508932366967201233f,
+ 0.2639556000940501689911f,0.4148103706538677215576f,0.2806498021818697452545f,
+ 0.1280058464035391807556f,
+ 0.7783128595910966396332f,0.2119030449539422988892f,0.1121354666538536548615f,
+ 0.6856895955279469490051f,0.1531216683797538280487f,0.6970850601792335510254f,
+ 0.8415518426336348056793f,
+ 0.4062024755403399467468f,0.4094825475476682186127f,0.8784125801175832748413f,
+ 0.1138359685428440570831f,0.1998337740078568458557f,0.5618660743348300457001f,
+ 0.5896177329123020172119f,
+ 0.6853979662992060184479f,0.8906224733218550682068f,0.5042212805710732936859f,
+ 0.3493615407496690750122f,0.3873778772540390491486f,0.9222898678854107856751f,
+ 0.9488184261135756969452f,
+ 0.3435337245464324951172f,0.3760118731297552585602f,0.7340940563008189201355f,
+ 0.2615761472843587398529f,0.4993493836373090744019f,0.2638578419573605060577f,
+ 0.5253563085570931434631f};
+ float out2, *outColumns2, *outRows2;
+ float result2= 0.0651863337585355667736f ;
+ float resultColumns2[7]= {0.0650391675869589902526f ,
+ 0.0913789208052724344356f ,
+ 0.0837863718398224738282f ,
+ 0.0281545517812518443501f ,
+ 0.0549594706400152802073f ,
+ 0.0389978730537587012228f ,
+ 0.0796657637071630925218f ,
+ };
+ float resultRows2[10]={0.0988544518240001696130f , 0.0874673050908554156058f , 0.0678199050579095519264f, 0.0591380787668954188696f , 0.0175386373980947855855f ,0.0831815708684833926556f , 0.1035239817400336881370f, 0.0657802543744439444096f , 0.0667446022405332184402f , 0.0287884625084994134891f};
+
+
+ outColumns2= (float*)malloc((unsigned int)7*sizeof(float));
+ outRows2= (float*)malloc((unsigned int)10*sizeof(float));
+
+
+
+ out2 = svariancea(mtovar,70);
+ srowvariancea(mtovar,7,10,outRows2);
+ scolumnvariancea(mtovar,7,10,outColumns2);
+
+
+ printf("Variance 2 \n");
+ printf("%f\n",out2);
+ printf("Row Variance 2 \n");
+ for (i=0;i<10;i++) printf("%f\n",outRows2[i]);
+ printf("Column Variance 2 \n");
+ for (i=0;i<7;i++) printf("%f\n",outColumns2[i]);
+
+ assert(fabs(out2-result2)/fabs(out2) <1e-06);
+ for (i=0;i<10;i++)assert(fabs(outRows2[i]-resultRows2[i])/fabs(outRows2[i]) <1e-06);
+
+ for (i=0;i<7;i++)assert(fabs(outColumns2[i]-resultColumns2[i])/fabs(outColumns2[i]) <1e-06);
+
+ free(outColumns2);
+ free(outRows2);
+
+ }
+
+
+ return 0;
+}
+
+
+static int floatComplexVariance(void){
+ int i;
+
+ /* test 1 */
+ {
+ float inR[6]={0.9677053210325539112091f,0.5068534435704350471497f,0.523297640960663557053f,0.5596947595477104187012f,
+ 0.5617307000793516635895f,0.468176002614200115204f};
+ float inI[6]={0.7794546722434461116791f,0.7901071812957525253296f,0.9808542062528431415558f,0.8187066102400422096252f,
+ 0.4256872381083667278290f,0.2461560554802417755127f};
+ float varianceR=- 0.0428404140538702279950f;
+ float varianceI=0.0257955584577409802183f;
+ float rowVarianceR[3]={0.106135488505625180666f,- 0.0124835463256454722719f,- 0.01173948205902856229f};
+ float rowVarianceI[3]={- 0.0049092287964376275095f,- 0.0059017052806824826100f,0.0167959854763351026929f};
+ float colVarianceR[2]={- 0.0183554755457089394111f,- 0.1019751767306446843531f};
+ float colVarianceI[2]={0.0109267784648201249365f,0.0249829946888768111846f};
+ floatComplex *in, *rowVariance, *colVariance;
+ floatComplex out, *outRow, *outCol;
+
+ in= (floatComplex*)malloc ((unsigned int)6*sizeof(floatComplex));
+ outRow= (floatComplex*)malloc ((unsigned int)3*sizeof(floatComplex));
+ outCol= (floatComplex*)malloc ((unsigned int)2*sizeof(floatComplex));
+
+ in=FloatComplexMatrix(inR,inI,6);
+ rowVariance=FloatComplexMatrix(rowVarianceR,rowVarianceI,3);
+ colVariance=FloatComplexMatrix(colVarianceR,colVarianceI,2);
+
+
+ out=cvariancea(in,6);
+ printf("Variance \n");
+ printf("%f + %f *i\n",creals(out),cimags(out));
+
+ assert(fabs(creals(out)-varianceR)/fabs(creals(out)) <1e-6);
+ assert(fabs(cimags(out)-varianceI)/fabs(cimags(out)) <1e-6);
+
+
+
+
+
+ crowvariancea(in,2,3,outRow);
+ printf("Row Variance \n");
+ for (i=0;i<3;i++) printf("%1.20f + %1.20f *i\n",creals(outRow[i]),cimags(outRow[i]));
+
+
+ for (i=0;i<3;i++){
+ assert(fabs(creals(outRow[i])-rowVarianceR[i])/fabs(creals(outRow[i])) <1e-6);
+ assert(fabs(cimags(outRow[i])-rowVarianceI[i])/fabs(cimags(outRow[i])) <3e-5);
+ }
+
+
+
+ ccolumnvariancea(in,2,3,outCol);
+ printf("Column Variance \n");
+ for (i=0;i<2;i++) printf("%f + %f *i\n",creals(outCol[i]),cimags(outCol[i]));
+
+
+ for (i=0;i<2;i++){
+ assert(fabs(creals(outCol[i])-colVarianceR[i])/fabs(creals(outCol[i])) <1e-6);
+ assert(fabs(cimags(outCol[i])-colVarianceI[i])/fabs(cimags(outCol[i])) <3e-6);
+ }
+
+ free(in);
+ free(outCol);
+ free(outRow);
+
+
+ }
+
+
+ printf("\n");
+ printf("\n");
+ printf("\n");
+ printf("\n");
+
+
+ /* test 2 */
+ {
+ float inR[70]={0.0453502028249204158783f,0.2029444333165884017944f,0.7844273825176060199738f,
+ 0.2637536162510514259338f,0.4383276398293673992157f,0.866485897451639175415f,
+ 0.3792142109014093875885f,0.7668716078624129295349f,0.6006621322594583034515f,
+ 0.7856735605746507644653f,
+0.7387115550227463245392f,0.5544260339811444282532f,0.9929149555973708629608f,
+ 0.9757428467273712158203f,0.3709622272290289402008f,0.3032238213345408439636f,
+ 0.9519520117901265621185f,0.7127858083695173263550f,0.119237006176263093948f,
+ 0.5009163180366158485413f,
+0.3290053526870906352997f,0.4808946810662746429443f,0.3303695977665483951569f,
+ 0.6304475357756018638611f,0.2117190784774720668793f,0.4486023131757974624634f,
+ 0.5914509710855782032013f,0.6806742670014500617981f,0.0739296111278235912323f,
+ 0.9433694705367088317871f,
+0.1286330693401396274567f,0.2019080771133303642273f,0.1969303428195416927338f,
+ 0.8928690161556005477905f,0.4617918957956135272980f,0.6251291716471314430237f,
+ 0.7059706593863666057587f,0.7018169648945331573486f,0.4087999747134745121002f,
+ 0.0636221384629607200623f,
+0.0657393387518823146820f,0.5331004131585359573364f,0.0331581872887909412384f,
+ 0.3157835649326443672180f,0.3785823243670165538788f,0.4619523435831069946289f,
+ 0.6287369825877249240875f,0.2878515301272273063660f,0.3292048736475408077240f,
+ 0.4719233047217130661011f,
+0.3353769634850323200226f,0.5553069720044732093811f,0.1196080814115703105927f,
+ 0.7613999657332897186279f,0.4790988476015627384186f,0.2816969295963644981384f,
+ 0.2380097783170640468597f,0.3294205460697412490845f,0.2306728032417595386505f,
+ 0.2136296601966023445129f,
+0.4054998042993247509003f,0.3095371201634407043457f,0.6762971603311598300934f,
+ 0.970691631548106670380f,0.5441796570084989070892f,0.0204747971147298812866f,
+ 0.8941364963538944721222f,0.3490363890305161476135f,0.1105365152470767498016f,
+ 0.2023377753794193267822f};
+ float inI[70]={1.0377217042259871959686f,1.9830380710773169994354f,-0.6786614381708204746246f,
+ -1.7368789152242243289948f,0.6849579229019582271576f,-1.9756898251362144947052f, 0.9018773441202938556671f,0.4113956945948302745819f,0.0771432374604046344757f,
+ -2.6145569621585309505463f,
+-0.8694803346879780292511f,1.1954508102498948574066f,1.0175080369226634502411f,
+ -1.86952689336612820625f,1.6495719677768647670746f,-1.1282413271255791187286f,
+ 1.7159116868861019611359f,1.3512618443928658962250f,1.6467350018210709095001f,
+ -4.3247690196149051189423f,
+-1.1214177873916923999786f,0.3549467395059764385223f,1.5090364827774465084076f,
+ 0.0271988785825669765472f,-0.3927204073406755924225f,-2.2866433826275169849396f,
+ 2.4531399612314999103546f,1.2140426929108798503876f,0.1123848785646259784699f,
+ -1.2278760573826730251312f,
+0.5748759503476321697235f,0.1001535071991384029388f,0.7154782521538436412811f,
+ -0.3598340046592056751251f,0.1114491275511682033539f,-1.0214430955238640308380f,
+ 1.8411546354182064533234f,1.3313704966567456722260f,0.107393887359648942947f,
+ -2.1405860441736876964569f,
+-0.1921784919686615467072f,-0.0941377175040543079376f,-0.3007089742459356784821f,
+ -1.6332105011679232120514f,-0.9827875629998743534088f,-4.0793808070011436939240f,
+ 1.6021160488016903400421f,0.5996482106857001781464f,-1.0103867049328982830048f,
+ -1.9795853956602513790131f,
+-0.7019297261722385883331f,0.1910370937548577785492f,0.5148729826323688030243f,
+ -1.2210475285537540912628f,1.4409833527170121669769f,-2.0624672439880669116974f,
+ 2.2999203805811703205109f,1.6434787488542497158051f,-0.0813916879706084728241f,
+ -4.3653216282837092876434f,
+0.0896512451581656932831f,1.4530082489363849163055f,-0.1911182911135256290436f,
+ -1.5278804996050894260406f,-0.8655951828695833683014f,-2.6959278550930321216583f,
+ 1.089711368549615144730f,0.2611377011053264141083f,-0.0787748913280665874481f,
+ -1.675187868531793355942f};
+ float varianceR=- 2.3201230329620456949158f;
+ float varianceI=0.0135359053960125846894f;
+ float rowVarianceR[7]={- 2.1748250359163439071608f,- 4.0055927597555047725564f,- 1.9380991813636070375537f,- 1.211164632384367667584f,
+ - 2.3819157100812309302285f,- 3.865411523472068289209f,- 1.5488286339908912125907f};
+ float rowVarianceI[7]={- 0.5161401892195496277083f,- 0.0302397956223948334575f,0.0072526988331105511632f,0.2035074619460965072992f,
+ - 0.0227578793067023492369f,0.0176453877563822227048f,0.2048099414748655033858f};
+ float colVarianceR[10]={ - 0.5673920596394929072304f,
+ - 0.6095831761740567733554f,
+ - 0.4837275005370789138226f,
+ - 0.4518709923747168399899f,
+ - 1.1155710732654480210613f,
+ - 0.9922425930742954092168f,
+ - 0.2615272073355465187738f,
+ - 0.2448899237808548345896f,
+ - 0.5783271525148965253038f,
+ - 1.4662540245146995498970f };
+ float colVarianceI[10]={ - 0.2519451287679840834066f,
+ - 0.1132720366896080160801f,
+ - 0.0393753052279357945720f ,
+ 0.0678956480014177715665f ,
+ 0.0165011281984272333012f ,
+ 0.1043646242921155153915f ,
+ - 0.0697520473529744805541f ,
+ 0.0395755738577838397929f ,
+ - 0.0906906077772287183558f ,
+ 0.2030521845859689644698f };
+ floatComplex *in, *rowVariance, *colVariance;
+ floatComplex out, *outRow, *outCol;
+
+ in= (floatComplex*)malloc ((unsigned int)70*sizeof(floatComplex));
+ outRow= (floatComplex*)malloc ((unsigned int)7*sizeof(floatComplex));
+ outCol= (floatComplex*)malloc ((unsigned int)10*sizeof(floatComplex));
+
+ in=FloatComplexMatrix(inR,inI,70);
+ rowVariance=FloatComplexMatrix(rowVarianceR,rowVarianceI,7);
+ colVariance=FloatComplexMatrix(colVarianceR,colVarianceI,10);
+
+
+ out=cvariancea(in,70);
+ printf("Variance 2 \n");
+ printf("%f + %f *i\n",creals(out),cimags(out));
+
+ assert(fabs(creals(out)-varianceR)/fabs(creals(out)) <1e-6);
+ assert(fabs(cimags(out)-varianceI)/fabs(cimags(out)) <3e-5);
+
+
+
+
+
+ crowvariancea(in,10,7,outRow);
+ printf("Row Variance 2 \n");
+ for (i=0;i<7;i++) printf("%1.20f + %1.20f *i\n",creals(outRow[i]),cimags(outRow[i]));
+
+
+ for (i=0;i<7;i++){
+ assert(fabs(creals(outRow[i])-rowVarianceR[i])/fabs(creals(outRow[i])) <1e-6);
+ assert(fabs(cimags(outRow[i])-rowVarianceI[i])/fabs(cimags(outRow[i])) <3e-5);
+ }
+
+
+
+ ccolumnvariancea(in,10,7,outCol);
+ printf("Column Variance 2 \n");
+ for (i=0;i<10;i++) printf("%f + %f *i\n",creals(outCol[i]),cimags(outCol[i]));
+
+
+ for (i=0;i<10;i++){
+ assert(fabs(creals(outCol[i])-colVarianceR[i])/fabs(creals(outCol[i])) <1e-6);
+ assert(fabs(cimags(outCol[i])-colVarianceI[i])/fabs(cimags(outCol[i])) <3e-6);
+ }
+
+ free(in);
+ free(outCol);
+ free(outRow);
+ }
+
+ return 0;
+}
+
+
+
+
+
+static int testFloatVariance (void) {
+ printf("\n\n\n\n*********************\n");
+ printf("***** Float Tests Nono****\n");
+ printf("*********************\n");
+ assert(floatVariance()==0);
+ assert(floatComplexVariance()==0);
+
+
+ return 0;
+}
+
+int main(void) {
+ assert(testFloatVariance () == 0);
+ return 0;
+}
+
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diff --git a/src/c/statisticsFunctions/variance/zcolumnvariancea.c b/src/c/statisticsFunctions/variance/zcolumnvariancea.c
new file mode 100644
index 0000000..bba8030
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/zcolumnvariancea.c
@@ -0,0 +1,34 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution. The terms
+ * are also available at
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+#include "variance.h"
+
+void zcolumnvariancea(doubleComplex *in, int lines, int columns, doubleComplex* out){
+
+ int i = 0 ;
+
+ doubleComplex* transp = (doubleComplex*) malloc ( sizeof (doubleComplex) *(unsigned int) (lines*columns));
+
+
+
+ ztransposea ( in , lines , columns , transp ) ;
+
+
+ for ( i = 0; i < lines ; i++)
+ out[i] = zvariancea ( transp + i*columns , columns ) ;
+
+
+ free (transp);
+
+}
+
diff --git a/src/c/statisticsFunctions/variance/zrowvariancea.c b/src/c/statisticsFunctions/variance/zrowvariancea.c
new file mode 100644
index 0000000..285889a
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/zrowvariancea.c
@@ -0,0 +1,21 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution. The terms
+ * are also available at
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variance.h"
+
+void zrowvariancea(doubleComplex *in, int lines, int columns, doubleComplex* out){
+
+ int i = 0 ;
+
+ for ( i = 0; i < columns ; i++)
+ out[i] = zvariancea ( in + i*lines , lines ) ;
+}
diff --git a/src/c/statisticsFunctions/variance/zvariancea.c b/src/c/statisticsFunctions/variance/zvariancea.c
new file mode 100644
index 0000000..92e2667
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/zvariancea.c
@@ -0,0 +1,35 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution. The terms
+ * are also available at
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variance.h"
+
+doubleComplex zvariancea(doubleComplex *in, int size)
+{
+ int i = 0 ;
+
+ doubleComplex sum = DoubleComplex ( 0 , 0 ) ;
+ doubleComplex temp = DoubleComplex ( 0 , 0 ) ;
+ doubleComplex variance = DoubleComplex ( 0 , 0 );
+ doubleComplex mean = zmeana ( in , size ) ;
+
+ for ( i = 0 ; i < size ; i++)
+ {
+ temp = zdiffs( in[i] , mean ) ;
+ sum = zadds ( sum , zpows ( temp , DoubleComplex ( 2, 0) ) );
+ }
+
+ variance = zrdivs (sum , DoubleComplex ( (size - 1),0 ));
+
+ return variance ;
+
+}
+