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Diffstat (limited to 'R/partition.R')
-rw-r--r-- | R/partition.R | 57 |
1 files changed, 0 insertions, 57 deletions
diff --git a/R/partition.R b/R/partition.R deleted file mode 100644 index 781209c..0000000 --- a/R/partition.R +++ /dev/null @@ -1,57 +0,0 @@ -#' Subset an idframe data -#' -#' \code{dataSlice} is a Subsetting method for objects of class \code{idframe}. It -#' extracts the subset of the object \code{data} observed between indices \code{start} -#' and \code{end}. If a frequency is specified, the series is then re-sampled at the -#' new frequency. -#' -#' @param data an object of class \code{idframe} -#' @param start the start index -#' @param end the end index -#' @param freq the new sampling frequency -#' -#' @details -#' The dataSlice function extends the \code{\link[stats]{window}} function for idframe -#' objects -#' -#' @return an idframe object -#' -#' @examples -#' data(cstr) -#' cstrsub <- dataSlice(cstr,start=200,end=400) # extract between indices 200 and 400 -#' cstrTrain <- dataSlice(cstr,end=4500) # extract upto index 4500 -#' cstrTest <- dataSlice(cstr,start=6501) # extract from index 6501 till the end -#' cstr_new <- dataSlice(cstr,freq=3) # resample data at thrice the frequency -#' -#' @seealso \code{\link[stats]{window}} -#' @export -dataSlice <- function(data,start=NULL,end=NULL,freq=NULL){ - # check if the class is correct - if(class(data)!='idframe') - stop("Not an idframe data") - - nin <- dim(data$input)[2]; nout <- dim(data$output)[2] - dataMatrix <- cbind(data$input,data$output) - if(data$type=="freq"){ - dataMatrix <- cbind(dataMatrix,data$frequencies) - } else { - timeSeq <- seq(from=data$t.start,to=data$t.end,by=data$Ts) - dataMatrix <- cbind(dataMatrix,timeSeq) - } - - l <- as.list(dataMatrix) - trimData <- as.data.frame(sapply(l,window,start=start,end=end,deltat=freq)) - - trim <- idframe(output=trimData[,(nin+1):(nin+nout),drop=F], - input=trimData[,1:nin,drop=F],type=data$type,Ts=data$Ts, - tUnit=data$tUnit) - - if(trim$type=="freq"){ - trim$frequncies <- trimData[,ncol(trimData)] - } else { - trim$t.start <- trimData[1,ncol(trimData)] - trim$t.end <- trimData[nrow(trimData),ncol(trimData)] - } - - return(trim) -}
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