R/traindata.R

In pnnl/glmnetLRC: Lasso and Elastic-Net Logistic Regression Classification with an Arbitrary Loss Function

##' Training data set from the Vorbitrap mass spectrometry instrument
##'
##' @docType data
##' @format A dataframe with 325 observations and 99 variables
##' @references
##' Amidan BG, Orton DJ, LaMarche BL, Monroe ME, Moore RJ,
##' Venzin AM, Smith RD, Sego LH, Tardiff MF, Payne SH. 2014.
##' Signatures for Mass Spectrometry Data Quality.
##' Journal of Proteome Research. 13(4), 2215-2222.
##' \url{http://pubs.acs.org/doi/abs/10.1021/pr401143e}
##' @name traindata
##' @examples
##' data(traindata)
##' str(traindata)
NULL