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aVirtualTwins
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Add absolute, relative and logit method for difft

This commit is contained in:
prise6 2015-06-15 00:51:18 +02:00
parent 3ea7e286e1
commit 4b6d4ba92b
1 changed files with 31 additions and 10 deletions
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41
R/difft.R
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@ -3,24 +3,33 @@
#'
#' 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}
#' 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}}
#'
#'
#' @seealso \code{\link{VT.forest}}, \code{\link{VT.forest.one}},
#' \code{\link{VT.forest.double}}
#'
#' @import methods
VT.difft <- setRefClass(
Class = "VT.difft",
@ -29,16 +38,21 @@ VT.difft <- setRefClass(
vt.object = "VT.object",
twin1 = "vector",
twin2 = "vector",
method = "character",
difft = "vector"
),
methods = list(
initialize = function(vt.object = VT.object(), ...){
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(...)
},
@ -47,7 +61,14 @@ VT.difft <- setRefClass(
if(sum(is.na(.self$twin1)) != 0 | sum(is.na(.self$twin2)) != 0 ) stop("Twins must be valid")
.self$difft <- ifelse(.self$vt.object$data[, 2] == 1, .self$twin1 - .self$twin2, .self$twin2 - .self$twin1)
if(.self$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
}