#' Difference between twins #' #' A reference class to represent difference between twin1 and twin2 #' #' Difft are calculated depending on the favorable outcome chosen. It is the #' second level of the outcome. For example, if the outcome is 0 and 1, the #' favorable outcome is 1. Then, \deqn{difft_i = twin1_i - twin2_i if T_i = 1} #' \deqn{ difft_i = twin2_i - twin1_i if T_i = 0}. #' So \emph{absolute} method is : #' \deqn{P(Y = 1 | T = 1) - P(Y = 1 | T =0)} #' So \emph{relative} method is : #' \deqn{P(Y = 1 | T = 1)/P(Y = 1 | T =0)} #' So \emph{absolute} method is : #' \deqn{logit(P(Y = 1 | T = 1)) - logit(P(Y = 1 | T =0))} #' #' @include object.R #' #' @field vt.object VT.object (refClass) representing data #' @field twin1 vector of \eqn{E(Y|T = real treatment)} #' @field twin2 vector of \eqn{E(Y|T = another treatment)} #' @field method Method available to compute difft : c("absolute", "relative", #' "logit"). Absolute is default value. See details. #' @field difft vector of difference between twin1 and twin2 #' #' @name VT.difft #' #' @export VT.difft #' #' @seealso \code{\link{VT.forest}}, \code{\link{VT.forest.one}}, #' \code{\link{VT.forest.double}} #' #' @import methods VT.difft <- setRefClass( Class = "VT.difft", fields = list( vt.object = "VT.object", twin1 = "vector", twin2 = "vector", method = "character", difft = "vector" ), methods = list( initialize = function(vt.object = VT.object(), method = "absolute", ...){ .self$vt.object <- vt.object .self$twin1 <- .self$twin2 <- rep(NA, nrow(vt.object$data)) if(!method %in% c("absolute", "relative", "logit")) stop(sprintf("Method %s is not valid", method)) .self$method <- method .self$initFields(...) }, computeDifft = function(){ "Compute difference between twin1 and twin2. See details." if(sum(is.na(.self$twin1)) != 0 | sum(is.na(.self$twin2)) != 0 ) stop("Twins must be valid") if(.self$method == "absolute") .self$difft <- ifelse(.self$vt.object$data[, 2] == 1, .self$twin1 - .self$twin2, .self$twin2 - .self$twin1) if(.self$method == "relative") .self$difft <- ifelse(.self$vt.object$data[, 2] == 1, .self$twin1/.self$twin2, .self$twin2/.self$twin1) if(.self$method == "logit"){ logit <- function(x) log(x/(1-x)) .self$difft <- ifelse(.self$vt.object$data[, 2] == 1, logit(.self$twin1) - logit(.self$twin2), logit(.self$twin2) - logit(.self$twin1)) } return(invisible(.self$difft)) # To see later } ) )