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Fix bug documentation
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@ -5,7 +5,7 @@
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#' \itemize{
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#' \item \code{\link{VT.object}} class to represent RCT dataset used by VirtualTwins. To format correctly RCT dataset, use \code{\link{formatRCTDataset}}.
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#' \item \code{\link{VT.difft}} class to compute difference between twins. Family \code{\link{VT.forest}} extends it to compute twins by random forest.
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#' \item \code{\link{VT.tree}} class to find subgroups from \code{\link{difft}} by CART trees. \code{\link{VT.tree.class}} and \code{\link{VT.tree.reg}} extend it.
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#' \item \code{\link{VT.tree}} class to find subgroups from \code{difft} by CART trees. \code{\link{VT.tree.class}} and \code{\link{VT.tree.reg}} extend it.
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#' }
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#'
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#' @section TODO LIST:
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8
R/data.R
8
R/data.R
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@ -3,10 +3,10 @@
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#' Simulated clinical trial with two groups treatment about sepsis desease. See details.
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#'
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#' This dataset is taken from
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#' \link[=http://biopharmnet.com/wiki/Software_for_subgroup_identification_and_analysis]{SIDES
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#' \href{http://biopharmnet.com/wiki/Software_for_subgroup_identification_and_analysis}{SIDES
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#' method}.
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#'
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#' \code{Sepsis} contains simulated data on 470 subjects with a binary outcome
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#' \code{Sepsis} contains simulated data on 454 subjects with a binary outcome
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#' survival, that stores survival status for patient after 28 days of treatment,
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#' value of 1 for subjects who died after 28 days and 0 otherwise. There are 11
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#' covariates, listed below, all of which are numerical variables.
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@ -16,7 +16,7 @@
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#'
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#' True subgroup is \emph{PRAPACHE <= 26 & AGE <= 49.80}
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#'
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#' @format 470 patients and 13 variables.
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#' @format 454 patients and 13 variables.
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#' \describe{
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#' \item{survival}{binary outcome}
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#' \item{THERAPY}{1 for active treatment, 0 for control treatment}
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@ -33,6 +33,8 @@
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#' \item{BLLBILI}{Baseline local bilirubin}
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#' }
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#'
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#' @usage data(sepsis)
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#' @docType data
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#' @source \url{http://biopharmnet.com/wiki/Software_for_subgroup_identification_and_analysis}
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#' @name sepsis
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NULL
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@ -6,7 +6,7 @@
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#'
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#' \code{VT.forest} extends \code{VT.difft}
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#'
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#' @field ... see fields of \linkS4class{VT.difft}
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#' @field ... see fields of \code{\link{VT.difft}}
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#'
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#' @include difft.R predict.R
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#'
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@ -17,7 +17,7 @@
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#' @field fold numeric, number of fold, i.e. number of forest (k)
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#' @field ratio numeric experimental, use to balance sampsize. Defaut to 1.
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#' @field groups vector Define which observations belong to which group
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#' @field ... field from parent class : \linkS4class{VT.forest}
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#' @field ... field from parent class : \code{\link{VT.forest}}
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#'
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#' @name VT.forest.fold
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#'
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@ -16,7 +16,7 @@
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#'
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#' @field model is a caret/RandomForest/randomForest class object
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#' @field interactions logical set TRUE if model has been computed with interactions
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#' @field ... field from parent class : \linkS4class{VT.forest}
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#' @field ... field from parent class : \code{\link{VT.forest}}
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#'
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#' @seealso \code{\link{VT.difft}}, \code{\link{VT.forest}}, \code{\link{VT.forest.double}}
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#'
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@ -27,6 +27,8 @@
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#' \dontrun{
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#' data.format <- formatRCTDataset(data, "outcome", "treatment", TRUE)
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#' }
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#'
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#'
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#'
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#' @export
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formatRCTDataset <- function(dataset, outcome.field, treatment.field, interactions = TRUE){
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Binary file not shown.
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@ -13,7 +13,7 @@ An abstract reference class to compute twin via random forests
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\section{Fields}{
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\describe{
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\item{\code{...}}{see fields of \linkS4class{VT.difft}}
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\item{\code{...}}{see fields of \code{\link{VT.difft}}}
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}}
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\section{Methods}{
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@ -26,7 +26,7 @@ interactions}
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\item{\code{groups}}{vector Define which observations belong to which group}
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\item{\code{...}}{field from parent class : \linkS4class{VT.forest}}
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\item{\code{...}}{field from parent class : \code{\link{VT.forest}}}
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}}
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\section{Methods}{
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@ -22,7 +22,7 @@ what \code{computeTwin1()} and \code{computeTwin2()} functions do.
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\item{\code{interactions}}{logical set TRUE if model has been computed with interactions}
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\item{\code{...}}{field from parent class : \linkS4class{VT.forest}}
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\item{\code{...}}{field from parent class : \code{\link{VT.forest}}}
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}}
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\section{Methods}{
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@ -10,7 +10,7 @@ VirtualTwins is written mainly with reference classes. Briefly, there is three k
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\itemize{
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\item \code{\link{VT.object}} class to represent RCT dataset used by VirtualTwins. To format correctly RCT dataset, use \code{\link{formatRCTDataset}}.
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\item \code{\link{VT.difft}} class to compute difference between twins. Family \code{\link{VT.forest}} extends it to compute twins by random forest.
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\item \code{\link{VT.tree}} class to find subgroups from \code{\link{difft}} by CART trees. \code{\link{VT.tree.class}} and \code{\link{VT.tree.reg}} extend it.
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\item \code{\link{VT.tree}} class to find subgroups from \code{difft} by CART trees. \code{\link{VT.tree.class}} and \code{\link{VT.tree.reg}} extend it.
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}
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}
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\section{TODO LIST}{
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@ -1,9 +1,10 @@
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% Generated by roxygen2 (4.1.1): do not edit by hand
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% Please edit documentation in R/data.R
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\docType{data}
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\name{sepsis}
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\alias{sepsis}
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\title{Clinical Trial for Sepsis desease}
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\format{470 patients and 13 variables.
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\format{454 patients and 13 variables.
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\describe{
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\item{survival}{binary outcome}
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\item{THERAPY}{1 for active treatment, 0 for control treatment}
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@ -22,15 +23,18 @@
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\source{
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\url{http://biopharmnet.com/wiki/Software_for_subgroup_identification_and_analysis}
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}
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\usage{
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data(sepsis)
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}
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\description{
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Simulated clinical trial with two groups treatment about sepsis desease. See details.
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}
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\details{
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This dataset is taken from
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\link[=http://biopharmnet.com/wiki/Software_for_subgroup_identification_and_analysis]{SIDES
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\href{http://biopharmnet.com/wiki/Software_for_subgroup_identification_and_analysis}{SIDES
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method}.
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\code{Sepsis} contains simulated data on 470 subjects with a binary outcome
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\code{Sepsis} contains simulated data on 454 subjects with a binary outcome
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survival, that stores survival status for patient after 28 days of treatment,
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value of 1 for subjects who died after 28 days and 0 otherwise. There are 11
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covariates, listed below, all of which are numerical variables.
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