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#' ch22 importance values
#'
#' A dataset containing 1103547 importance values, and a table of variables used in splits.
#' Note that the importances have not been logged.
#'
#' @format A list
#' \describe{
#' \item{imp}{importaces }
#' \item{C}{table of counts}
#' }
#' @source A Global Reference for Human Genetic Variation, Auton et al., Nature, 2015, 526:7571 pp 68--74
#'
#' @examples
#' \dontrun{
#' library(ranger)
#' system.time(fit.ranger.7 <- ranger(dependent.variable.name= "V1", data = aa2,
#' importance = "impurity",
#' num.threads=20,num.trees = 100000,
#' seed=123))
#' #Ranger result
#' #Call:
#' #ranger(dependent.variable.name = "V1", data = aa2, importance = "impurity",
#' # num.threads = 20, num.trees = 1e+05, seed = 123)
#' #Type: Classification
#' #Number of trees: 1e+05
#' #Sample size: 2504
#' #Number of independent variables: 1103547
#' #Mtry: 1050
#' #Target node size: 1
#' #Variable importance mode: impurity
#' #Splitrule: gini
#' #OOB prediction error: 4.27 %
#' C <-count_variables(fit.ranger.7)
#' imp<-rf1$variable.importance
#'
#' ch22<-list(imp,C)
#' names(ch22)<-c("imp","C")
#' }
#'
#' data(ch22)
#'
"ch22"
#' Effects of cigarette smoke on the human airway epithelial cell transcriptome
#'
#' A dataset containing normalized transcript measurements for 51 subjects and 22283 transcripts.
#' See Spira et al (2004). "Gene Expression Profiling of Human Lung Tissue from Smokers with Severe Emphysema",
#' Am J Respir Cell Mol Biol.
#'
#' @format A list with rma (the transcript data) and y (the class labels):
#' \describe{
#' \item{rma}{ 51 by 22283, log2 real values }
#' \item{y}{a character vector, "smoking" and "never-smoked"}
#' ...
#' }
#' @source \url{https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE994}
"smoking"
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