R/datasets.R

In cate: High Dimensional Factor Analysis and Confounder Adjusted Testing and Estimation

#' Gender study dataset
#'
#' @description This genetics dataset is used to demonstrate the usage of \code{cate} in the vignette. It was originally extracted by Gagnon-Bartsch and Speed (2012) as an example of confounded multiple testing.
#' The data included in this package contains only 500 genes that are sampled from the original 12600 genes, besides keeping all the spike-in controls.
#'
#' @name gender.sm
#' @docType data
#' @references
#' \url{http://www-personal.umich.edu/~johanngb/ruv/}
#' Vawter, M. P., S. Evans, P. Choudary, H. Tomita, J. Meador-Woodruff, M. Molnar, J. Li, J. F. Lopez, R. Myers, D. Cox, et al. (2004). Gender-specific gene expression in post-mortem human brain: localization to sex chromosomes. Neuropsychopharmacology 29(2), 373-384.
#' Gagnon-Bartsch, J. A. and T. P. Speed (2012). Using control genes to correct for unwanted variation in microarray data. Biostatistics 13(3), 539-552.
#' @keywords data
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