diff options
Diffstat (limited to 'R/demean.R')
| -rw-r--r-- | R/demean.R | 8 |
1 files changed, 4 insertions, 4 deletions
@@ -10,13 +10,13 @@ #' \tabular{ll}{ #' \code{fitted.values} \tab \code{idframe} object with mean-centered variables \cr #' \code{output.mean} \tab \code{vector} containing means for each output variable \cr -#' \code{input.mean} \tab \code{vector} containing trend fits for each input variable +#' \code{input.mean} \tab \code{vector} containing means for each input variable #' } #' #' @examples #' data(cstr) #' fit.mean <- demean(cstr) -#' cstr_detrend <- predict(fit.mean) +#' cstr_demean <- predict(fit.mean) #' #' @seealso \code{\link{predict.demean}}, \code{\link[stats]{colMeans}} #' @export @@ -30,7 +30,7 @@ demean <- function(data){ data_demean$output <- data$output - output.mean data_demean$input <- data$input - input.mean - est <- list(fitted.values=data_detrend,output.mean = output.mean, + est <- list(fitted.values=data_demean,output.mean = output.mean, input.mean = input.mean) class(est) <- "demean" @@ -55,7 +55,7 @@ demean <- function(data){ #' test <- splitList$validation # testing set #' fit.mean <- demean(train) #' train_demean <- predict(fit.mean) -#' test_demean <- predict(fit,newdata=test) +#' test_demean <- predict(fit.mean,newdata=test) #' @export predict.demean <- function(object,newdata=NULL,...){ |