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-rw-r--r--R/nonparam.R10
1 files changed, 5 insertions, 5 deletions
diff --git a/R/nonparam.R b/R/nonparam.R
index c3fbaa8..e51fcaf 100644
--- a/R/nonparam.R
+++ b/R/nonparam.R
@@ -90,13 +90,13 @@ impulsechannel <- function(y,u,N,M,K=0,regul=F,lambda=1){
#' @import ggplot2
#'
#' @export
-plot.impulseest <- function(model,sig=2){
+plot.impulseest <- function(model,sd=2){
plotseq <- seq(model$noutputs*model$ninputs)
g <- vector("list",model$nin*model$nout)
for(i in plotseq){
z <- model[[i]]
- lim <- z$se*2
+ lim <- z$se*sd
yindex <- (i-1)%/%model$nin + 1;uindex <- i-model$nin*(yindex-1)
df <- data.frame(x=z$lags,y=coef(z),lim=lim)
g[[i]] <- ggplot(df,aes(x,y))+
@@ -157,7 +157,7 @@ step <- function(model){
#' fixed resolution using spectral analysis
#'
#' @param x an \code{idframe} object
-#' @param W lag size of the Hanning window (Default: \code{min
+#' @param winsize lag size of the Hanning window (Default: \code{min
#' (length(x)/10,30)})
#' @param freq frequency points at which the response is evaluated
#' (Default: \code{seq(1,128)/128*pi/Ts})
@@ -171,8 +171,8 @@ step <- function(model){
#' Theory and Practice}, CRC Press, Boca Raton. Sections 16.5 and 20.4
#'
#' @examples
-#' data(frf)
-#' frf <- spa(data)
+#' data(arxsim)
+#' frf <- spa(arxsim)
#'
#' @import signal
#' @export