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author | unknown | 2015-04-02 17:26:25 +0530 |
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committer | unknown | 2015-04-02 17:26:25 +0530 |
commit | 70e28d0f3b261baaabf6e0008a6d3f13f093cc19 (patch) | |
tree | f59712b49a96420a9509e01ff9c94d89ee32d238 /man | |
parent | 0bc263264901d09cce981f701a0f0eb3bc0b9c15 (diff) | |
download | SysID-R-code-70e28d0f3b261baaabf6e0008a6d3f13f093cc19.tar.gz SysID-R-code-70e28d0f3b261baaabf6e0008a6d3f13f093cc19.tar.bz2 SysID-R-code-70e28d0f3b261baaabf6e0008a6d3f13f093cc19.zip |
bug fixes and updated documentation
Diffstat (limited to 'man')
-rw-r--r-- | man/predict.detrend.Rd | 2 | ||||
-rw-r--r-- | man/read.table.idframe.Rd | 2 | ||||
-rw-r--r-- | man/read.xls.idframe.Rd | 2 |
3 files changed, 3 insertions, 3 deletions
diff --git a/man/predict.detrend.Rd b/man/predict.detrend.Rd index 01a27af..41667c7 100644 --- a/man/predict.detrend.Rd +++ b/man/predict.detrend.Rd @@ -21,7 +21,7 @@ Detrended \code{idframe} object based on linear trend fit \examples{ data(cstr) train <- dataSlice(cstr,end=5000) # subset the first 5000 indices -test <- dataSlice(distill,start=6001) # subset from index 6001 till the end +test <- dataSlice(cstr,start=6001) # subset from index 6001 till the end fit <- detrend(train) Ztrain <- predict(fit) Ztest <- predict(fit,test) diff --git a/man/read.table.idframe.Rd b/man/read.table.idframe.Rd index 276b32a..f8db672 100644 --- a/man/read.table.idframe.Rd +++ b/man/read.table.idframe.Rd @@ -50,7 +50,7 @@ should contain the frequencies. \examples{ dataMatrix <- data.frame(matrix(rnorm(1000),ncol=5)) colnames(dataMatrix) <- c("u1","u2","y1","y2","y3") -write.csv(dataMatrix,file="test.csv",row.names=F) +write.csv(dataMatrix,file="test.csv",row.names=FALSE) data <- read.table.idframe("test.csv",ninputs=2,tUnit="min") } diff --git a/man/read.xls.idframe.Rd b/man/read.xls.idframe.Rd index 84ce4f9..c33a703 100644 --- a/man/read.xls.idframe.Rd +++ b/man/read.xls.idframe.Rd @@ -54,7 +54,7 @@ the \pkg{xlsx} package). library(xlsx) dataMatrix <- data.frame(matrix(rnorm(1000),ncol=5)) colnames(dataMatrix) <- c("u1","u2","y1","y2","y3") -write.xlsx2(dataMatrix,file="test.xlsx",row.names=F) +write.xlsx2(dataMatrix,file="test.xlsx",row.names=FALSE) data <- read.xls.idframe("test.xlsx","Sheet1",ninputs=2,tUnit="min") } |