R/datasets.R

## Package: jicmr
##
## Definitions of datasets included with the package
## (all data are synthetic, i.e. computer generated)
##




## #######################################################################
## Datasets with 2 groups

#' Toy dataset for multiple regression analysis
#'
#' System wherein y is related to x; other variables are noise
#'
#' @name mrdata1
#' @docType data
#' @usage data(mrdata1)
#' 
#' @format A matrix with eight columns: \code{w1}-\code{w6}, \code{x}, \code{y}
"mrdata1"


#' Toy dataset for multiple regression analysis
#'
#' System wherein y is related to x and w2; other variables are noise
#'
#' @name mrdata2
#' @docType data
#' @usage data(mrdata2)
#' 
#' @format A matrix with eight columns: \code{w1}-\code{w6}, \code{x}, \code{y}
"mrdata2"


#' Toy dataset for multiple regression analysis
#'
#' System wherein x and y both depend on w1; other variables are noise
#'
#' @name mrdata3
#' @docType data
#' @usage data(mrdata3)
#' 
#' @format A matrix with eight columns: \code{w1}-\code{w6}, \code{x}, \code{y}
"mrdata3"


#' Toy dataset for multiple regression analysis
#'
#' System wherein x and y both depend on several other variables;
#' other variables have correlations among them
#'
#' @name mrdata4
#' @docType data
#' @usage data(mrdata4)
#' 
#' @format A matrix with eight columns: \code{w1}-\code{w6}, \code{x}, \code{y}
"mrdata4"


#' Toy dataset for multiple regression analysis
#'
#' System wherein x and y both depend on a categorical variable;
#' other variables have correlations among them
#'
#' @name mrdata5
#' @docType data
#' @usage data(mrdata5)
#' 
#' @format A matrix with eight columns: \code{w1}-\code{w6}, \code{x}, \code{y}
"mrdata5"
tkonopka/famr documentation built on May 6, 2019, 10:52 p.m.