diff --git a/man/VT.difft.Rd b/man/VT.difft.Rd index f178fde..36ce963 100644 --- a/man/VT.difft.Rd +++ b/man/VT.difft.Rd @@ -1,4 +1,4 @@ -% Generated by roxygen2 (4.1.1): do not edit by hand +% Generated by roxygen2: do not edit by hand % Please edit documentation in R/difft.R \docType{class} \name{VT.difft} @@ -8,8 +8,8 @@ A reference class to represent difference between twin1 and twin2 } \details{ -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 +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 : diff --git a/man/VT.forest.double.Rd b/man/VT.forest.double.Rd index dba4f9a..8b49bc4 100644 --- a/man/VT.forest.double.Rd +++ b/man/VT.forest.double.Rd @@ -1,4 +1,4 @@ -% Generated by roxygen2 (4.1.1): do not edit by hand +% Generated by roxygen2: do not edit by hand % Please edit documentation in R/forest.double.R \docType{class} \name{VT.forest.double} @@ -11,7 +11,7 @@ A reference class to compute twins via double random forests \code{VT.forest.double} extends \code{VT.forest}. \eqn{E(Y|T = 1)} if \eqn{T_i = 1} is estimated by OOB predictions from -\code{model_trt1}. +\code{model_trt1}. \eqn{E(Y|T = 0)} if \eqn{T_i = 0} is estimated by OOB predictions from \code{model_trt0}. This is what \code{computeTwin1()} does. diff --git a/man/VT.forest.fold.Rd b/man/VT.forest.fold.Rd index 3c8646b..32c4fa3 100644 --- a/man/VT.forest.fold.Rd +++ b/man/VT.forest.fold.Rd @@ -1,4 +1,4 @@ -% Generated by roxygen2 (4.1.1): do not edit by hand +% Generated by roxygen2: do not edit by hand % Please edit documentation in R/forest.fold.R \docType{class} \name{VT.forest.fold} @@ -11,13 +11,13 @@ A reference class to compute twins via k random forest \code{VT.forest.fold} extends \code{VT.forest} Twins are estimated by k-fold cross validation. A forest is computed on k-1/k -of the data and then used to estimate twin1 and twin2 on 1/k of the left +of the data and then used to estimate twin1 and twin2 on 1/k of the left data. } \section{Fields}{ \describe{ -\item{\code{interactions}}{logical set TRUE if model has been computed with +\item{\code{interactions}}{logical set TRUE if model has been computed with interactions} \item{\code{fold}}{numeric, number of fold, i.e. number of forest (k)} @@ -34,7 +34,7 @@ interactions} \item{\code{run()}}{Compute twin1 and twin2 estimation. Switch treatment if necessary.} }} \seealso{ -\code{\link{VT.difft}}, \code{\link{VT.forest}}, +\code{\link{VT.difft}}, \code{\link{VT.forest}}, \code{\link{VT.forest.one}}, \code{\link{VT.forest.double}} } diff --git a/man/VT.forest.one.Rd b/man/VT.forest.one.Rd index aac9162..e9e4005 100644 --- a/man/VT.forest.one.Rd +++ b/man/VT.forest.one.Rd @@ -1,4 +1,4 @@ -% Generated by roxygen2 (4.1.1): do not edit by hand +% Generated by roxygen2: do not edit by hand % Please edit documentation in R/forest.one.R \docType{class} \name{VT.forest.one} @@ -10,8 +10,8 @@ A reference class to compute twins via one random forest \details{ \code{VT.forest.one} extends \code{VT.forest}. -OOB predictions are used to estimate \eqn{E(Y|T = real treatment)}. Then, -treatement is switched, it means that 1 becomes 0 and 0 becomes 1. We use +OOB predictions are used to estimate \eqn{E(Y|T = real treatment)}. Then, +treatement is switched, it means that 1 becomes 0 and 0 becomes 1. We use again \code{model} to estimate \eqn{E(Y|T = the other treatment)}. This is what \code{computeTwin1()} and \code{computeTwin2()} functions do. } diff --git a/man/VT.object.Rd b/man/VT.object.Rd index 86a6dc2..a4c1f76 100644 --- a/man/VT.object.Rd +++ b/man/VT.object.Rd @@ -1,4 +1,4 @@ -% Generated by roxygen2 (4.1.1): do not edit by hand +% Generated by roxygen2: do not edit by hand % Please edit documentation in R/object.R \docType{class} \name{VT.object} @@ -8,7 +8,7 @@ A Reference Class to deal with RCT dataset } \details{ -Currently working with binary response only. Continous will come, one day. +Currently working with binary response only. Continous will come, one day. Two-levels treatment only as well. \code{data} field should be as described, however if virtual twins won't used @@ -24,14 +24,14 @@ two levels factor if type is binary. T must be numeric or integer.} \item{\code{screening}}{Logical, set to \code{FALSE} Set to \code{TRUE} to use \code{varimp} in trees computation.} -\item{\code{varimp}}{Character vector of important variables to use in trees +\item{\code{varimp}}{Character vector of important variables to use in trees computation.} -\item{\code{delta}}{Numeric representing the difference of incidence between +\item{\code{delta}}{Numeric representing the difference of incidence between treatments.} -\item{\code{type}}{Character : binary or continous. Only binary is currently - available.} +\item{\code{type}}{Character : binary or continous. Only binary is currently +available.} }} \section{Methods}{ @@ -73,6 +73,7 @@ vt.o$getY(0) # Print incidences vt.o$getIncidences() } + } \seealso{ \code{\link{VT.difft}} diff --git a/man/VT.predict.Rd b/man/VT.predict.Rd index 374adb3..1c7a49b 100644 --- a/man/VT.predict.Rd +++ b/man/VT.predict.Rd @@ -1,4 +1,4 @@ -% Generated by roxygen2 (4.1.1): do not edit by hand +% Generated by roxygen2: do not edit by hand % Please edit documentation in R/predict.R \docType{methods} \name{VT.predict} @@ -35,7 +35,7 @@ class.} predictions are returned.} \item{type}{Must be binary or continous, depending on the outcome. Only - binary is really available.} +binary is really available.} } \value{ vector \eqn{E(Y=1)} @@ -45,16 +45,16 @@ VT.predict generic function } \section{Methods (by class)}{ \itemize{ -\item \code{rfor = RandomForest,newdata = missing,type = character}: +\item \code{rfor = RandomForest,newdata = missing,type = character}: rfor(RandomForest) newdata (missing) type (character) -\item \code{rfor = RandomForest,newdata = data.frame,type = character}: +\item \code{rfor = RandomForest,newdata = data.frame,type = character}: rfor(RandomForest) newdata (data.frame) type (character) -\item \code{rfor = randomForest,newdata = missing,type = character}: +\item \code{rfor = randomForest,newdata = missing,type = character}: rfor(randomForest) newdata (missing) type (character) -\item \code{rfor = randomForest,newdata = data.frame,type = character}: +\item \code{rfor = randomForest,newdata = data.frame,type = character}: rfor(randomForest) newdata (data.frame) type (character) -\item \code{rfor = train,newdata = ANY,type = character}: +\item \code{rfor = train,newdata = ANY,type = character}: rfor(train) newdata (ANY) type (character) -\item \code{rfor = train,newdata = missing,type = character}: +\item \code{rfor = train,newdata = missing,type = character}: rfor(train) newdata (missing) type (character) }} diff --git a/man/VT.tree.class.Rd b/man/VT.tree.class.Rd index 3f3939d..c3197e3 100644 --- a/man/VT.tree.class.Rd +++ b/man/VT.tree.class.Rd @@ -1,4 +1,4 @@ -% Generated by roxygen2 (4.1.1): do not edit by hand +% Generated by roxygen2: do not edit by hand % Please edit documentation in R/tree.class.R \docType{class} \name{VT.tree.class} diff --git a/man/VT.tree.reg.Rd b/man/VT.tree.reg.Rd index 8485e61..e0c9f07 100644 --- a/man/VT.tree.reg.Rd +++ b/man/VT.tree.reg.Rd @@ -1,4 +1,4 @@ -% Generated by roxygen2 (4.1.1): do not edit by hand +% Generated by roxygen2: do not edit by hand % Please edit documentation in R/tree.reg.R \docType{class} \name{VT.tree.reg} diff --git a/man/aVirtualTwins.Rd b/man/aVirtualTwins.Rd index bf69dac..da56540 100644 --- a/man/aVirtualTwins.Rd +++ b/man/aVirtualTwins.Rd @@ -1,4 +1,4 @@ -% Generated by roxygen2 (4.1.1): do not edit by hand +% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aVirtualTwins.R \docType{package} \name{aVirtualTwins} @@ -10,16 +10,16 @@ aVirtualTwins is written mainly with reference classes. Briefly, there is three \itemize{ \item \code{\link{VT.object}} class to represent RCT dataset used by aVirtualTwins. To format correctly RCT dataset, use \code{\link{formatRCTDataset}}. \item \code{\link{VT.difft}} class to compute difference between twins. Family \code{\link{VT.forest}} extends it to compute twins by random forest. - \code{\link{vt.forest()}} is users function. - \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. - \code{\link{vt.tree()}} is users function. + \code{\link{vt.forest}} is users function. + \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. + \code{\link{vt.tree}} is users function. } } \section{TODO LIST}{ \emph{last update : 27.07.2015} \itemize{ - \item More detailed documentation and vignettes + \item More detailed documentation and vignettes \item Write examples \item ... } diff --git a/man/formatRCTDataset.Rd b/man/formatRCTDataset.Rd index 6f824c7..6501c09 100644 --- a/man/formatRCTDataset.Rd +++ b/man/formatRCTDataset.Rd @@ -1,4 +1,4 @@ -% Generated by roxygen2 (4.1.1): do not edit by hand +% Generated by roxygen2: do not edit by hand % Please edit documentation in R/formatRCTDataset.R \name{formatRCTDataset} \alias{formatRCTDataset} @@ -14,30 +14,33 @@ formatRCTDataset(dataset, outcome.field, treatment.field, interactions = TRUE) \item{treatment.field}{name of the treatment's field in \code{dataset}} \item{interactions}{logical. If running VirtualTwins with treatment's - interactions, set to TRUE (default value)} +interactions, set to TRUE (default value)} } \value{ return data.frame with good format (explained in details section) to run VirtualTwins } \description{ -\code{formatRCTDataset} returns dataset that Virtual Twins is able to +\code{formatRCTDataset} returns dataset that Virtual Twins is able to analyze. } \details{ -This function check these differents topic: Outcome must be binary and a -factor. If numeric with two distincts values, outcome becomes a factor where -the favorable reponse is the second level. Also, outcome is moved on the +This function check these differents topic: Outcome must be binary and a +factor. If numeric with two distincts values, outcome becomes a factor where +the favorable reponse is the second level. Also, outcome is moved on the first column of \code{dataset}. -Treatment must have two distinct numeric values, 0 : no treatment, 1 : +Treatment must have two distinct numeric values, 0 : no treatment, 1 : treatment. Treatment is moved to the second column. -Qualitatives variables must be factor. If it has more than two levels, if +Qualitatives variables must be factor. If it has more than two levels, if running VirtualTwins with interaction, it creates dummy variables. } \examples{ \dontrun{ data.format <- formatRCTDataset(data, "outcome", "treatment", TRUE) -} +} + + + } diff --git a/man/sepsis.Rd b/man/sepsis.Rd index 0e1b14c..e902206 100644 --- a/man/sepsis.Rd +++ b/man/sepsis.Rd @@ -1,45 +1,45 @@ -% Generated by roxygen2 (4.1.1): do not edit by hand +% Generated by roxygen2: do not edit by hand % Please edit documentation in R/data.R \docType{data} \name{sepsis} \alias{sepsis} \title{Clinical Trial for Sepsis desease} -\format{470 patients and 13 variables. \describe{ \item{survival}{binary - outcome} \item{THERAPY}{1 for active treatment, 0 for control treatment} - \item{TIMFIRST}{Time from first sepsis-organ fail to start drug} - \item{AGE}{Patient age in years} \item{BLLPLAT}{Baseline local platelets} - \item{blSOFA}{Sum of baselin sofa (cardiovascular, hematology, - hepaticrenal, and respiration scores)} \item{BLLCREAT}{Base creatinine} - \item{ORGANNUM}{Number of baseline organ failures} - \item{PRAPACHE}{Pre-infusion apache-ii score} \item{BLGCS}{Base GLASGOW - coma scale score} \item{BLIL6}{Baseline serum IL-6 concentration} - \item{BLADL}{Baseline activity of daily living score} +\format{470 patients and 13 variables. \describe{ \item{survival}{binary + outcome} \item{THERAPY}{1 for active treatment, 0 for control treatment} + \item{TIMFIRST}{Time from first sepsis-organ fail to start drug} + \item{AGE}{Patient age in years} \item{BLLPLAT}{Baseline local platelets} + \item{blSOFA}{Sum of baselin sofa (cardiovascular, hematology, + hepaticrenal, and respiration scores)} \item{BLLCREAT}{Base creatinine} + \item{ORGANNUM}{Number of baseline organ failures} + \item{PRAPACHE}{Pre-infusion apache-ii score} \item{BLGCS}{Base GLASGOW + coma scale score} \item{BLIL6}{Baseline serum IL-6 concentration} + \item{BLADL}{Baseline activity of daily living score} \item{BLLBILI}{Baseline local bilirubin} }} \source{ -\url{http://biopharmnet.com/wiki/Software_for_subgroup_identification_and_analysis} +\url{http://biopharmnet.com/subgroup-analysis-software/} } \usage{ data(sepsis) } \description{ -Simulated clinical trial with two groups treatment about sepsis desease. See +Simulated clinical trial with two groups treatment about sepsis desease. See details. } \details{ -This dataset is taken from -\href{http://biopharmnet.com/wiki/Software_for_subgroup_identification_and_analysis}{SIDES +This dataset is taken from +\href{http://biopharmnet.com/subgroup-analysis-software/}{SIDES method}. -\code{Sepsis} contains simulated data on 470 subjects with a binary outcome +\code{Sepsis} contains simulated data on 470 subjects with a binary outcome survival, that stores survival status for patient after 28 days of treatment, -value of 1 for subjects who died after 28 days and 0 otherwise. There are 11 +value of 1 for subjects who died after 28 days and 0 otherwise. There are 11 covariates, listed below, all of which are numerical variables. Note that contrary to the original dataset used in SIDES, missing values have -been imputed by random forest \code{(randomForest::rfImpute())}. See file +been imputed by random forest \code{(randomForest::rfImpute())}. See file data-raw/sepsis.R for more details. -True subgroup is \emph{PRAPACHE <= 26 & AGE <= 49.80}. \emph{NOTE:} This +True subgroup is \emph{PRAPACHE <= 26 & AGE <= 49.80}. \emph{NOTE:} This subgroup is defined with the \emph{lower} event rate (survival = 1) in treatement arm. } diff --git a/man/vt.data.Rd b/man/vt.data.Rd index 05a6783..2f5d78d 100644 --- a/man/vt.data.Rd +++ b/man/vt.data.Rd @@ -1,4 +1,4 @@ -% Generated by roxygen2 (4.1.1): do not edit by hand +% Generated by roxygen2: do not edit by hand % Please edit documentation in R/object.wrapper.R \name{vt.data} \alias{vt.data} @@ -13,7 +13,7 @@ vt.data(dataset, outcome.field, treatment.field, interactions = TRUE, ...) \item{treatment.field}{name of the treatment's field in \code{dataset}} -\item{interactions}{logical. If running VirtualTwins with treatment's +\item{interactions}{logical. If running VirtualTwins with treatment's interactions, set to TRUE (default value)} \item{...}{parameters of \code{\link{VT.object}}} @@ -22,7 +22,7 @@ interactions, set to TRUE (default value)} \code{VT.object} } \description{ -\code{vt.data} is a wrapper of \code{\link{formatRCTDataset}} and +\code{vt.data} is a wrapper of \code{\link{formatRCTDataset}} and \code{\link{VT.object}}. Allows to format your data.frame in order to create a VT.object object. } @@ -31,5 +31,6 @@ a VT.object object. data(sepsis) formatRCTdataset(sepsis, "survival", "THERAPY", T) } + } diff --git a/man/vt.forest.Rd b/man/vt.forest.Rd index d2ef5c2..e47bbc8 100644 --- a/man/vt.forest.Rd +++ b/man/vt.forest.Rd @@ -1,4 +1,4 @@ -% Generated by roxygen2 (4.1.1): do not edit by hand +% Generated by roxygen2: do not edit by hand % Please edit documentation in R/forest.wrapper.R \name{vt.forest} \alias{vt.forest} @@ -9,34 +9,34 @@ vt.forest(forest.type = "one", vt.data, interactions = T, model_trt0 = NULL, ratio = 1, fold = 10, ...) } \arguments{ -\item{forest.type}{must be a character. "one" to use VT.forest.one class. +\item{forest.type}{must be a character. "one" to use VT.forest.one class. "double" to use VT.forest.double. "fold" to use VT.forest.fold.} -\item{vt.data}{\code{\link{VT.object}}. Can be return of \code{vt.data()} +\item{vt.data}{\code{\link{VT.object}}. Can be return of \code{vt.data()} function} -\item{interactions}{logical. If running VirtualTwins with treatment's +\item{interactions}{logical. If running VirtualTwins with treatment's interactions, set to TRUE (default value)} -\item{method}{character c("absolute", "relative", "logit"). See +\item{method}{character c("absolute", "relative", "logit"). See \code{\link{VT.difft}}.} -\item{model}{allows to give a model you build outside this function. Can be -randomForest, train or cforest. Is only used with forest.type = "one". If +\item{model}{allows to give a model you build outside this function. Can be +randomForest, train or cforest. Is only used with forest.type = "one". If NULL, a randomForest model is grown inside the function. NULL is default.} -\item{model_trt1}{see model_trt0 explanation and -\code{\link{VT.double.forest}} details.} +\item{model_trt1}{see model_trt0 explanation and +\code{\link{VT.forest.double}} details.} -\item{model_trt0}{works the same as model parameter. Is only used with -forest.type = "double". If NULL, a randomForest model is grown inside the +\item{model_trt0}{works the same as model parameter. Is only used with +forest.type = "double". If NULL, a randomForest model is grown inside the function. NULL is default. See \code{\link{VT.forest.double}} for details.} \item{ratio}{numeric value that allow sampsize to be a bit controlled. Default to 1. See \code{\link{VT.forest.fold}}.} -\item{fold}{number of fold you want to construct forest with k-fold method. -Is only used with forest.type = "fold". Default to 5. See +\item{fold}{number of fold you want to construct forest with k-fold method. +Is only used with forest.type = "fold". Default to 5. See \code{\link{VT.forest.fold}}} \item{...}{randomForest() function parameters. Can be used for any forest.type.} @@ -45,18 +45,18 @@ Is only used with forest.type = "fold". Default to 5. See \code{VT.difft} } \description{ -\code{vt.forest} is a wrapper of \code{\link{VT.forest.one}}, -\code{\link{VT.forest.double}} and \code{\link{VT.forest.fold}}. With +\code{vt.forest} is a wrapper of \code{\link{VT.forest.one}}, +\code{\link{VT.forest.double}} and \code{\link{VT.forest.fold}}. With parameter forest.type, any of these class can be used with its own parameter. } \examples{ \dontrun{ # data(sepsis) vt.o <- vt.data(sepsis, "survival", "THERAPY", T) - # inside model : + # inside model : vt.f <- vt.forest("one", vt.o) - # ... - # your model : + # ... + # your model : rf <- randomForest(y = vt.o$getY(), x = vt.o$getX(int = T), mtry = 3, @@ -66,6 +66,7 @@ parameter forest.type, any of these class can be used with its own parameter. # Can also use ... parameters vt.f <- vt.forest("one", vt.o, mtry = 3, nodesize = 15) # ... -} +} + } diff --git a/man/vt.subgroups.Rd b/man/vt.subgroups.Rd index 9872287..c4a072d 100644 --- a/man/vt.subgroups.Rd +++ b/man/vt.subgroups.Rd @@ -1,34 +1,34 @@ -% Generated by roxygen2 (4.1.1): do not edit by hand +% Generated by roxygen2: do not edit by hand % Please edit documentation in R/tools.R \name{vt.subgroups} \alias{vt.subgroups} \title{Visualize subgroups} \usage{ vt.subgroups(vt.trees, only.leaf = T, only.fav = T, tables = F, - verbose = F) + verbose = F, compete = F) } \arguments{ -\item{vt.trees}{\code{\link{VT.tree}} object. Or return of +\item{vt.trees}{\code{\link{VT.tree}} object. Or return of \code{\link{vt.tree}} function. Can be a list.} \item{only.leaf}{logical to select only leaf of trees. TRUE is default.} -\item{only.fav}{logical select only favorable subgroups (meaning with +\item{only.fav}{logical select only favorable subgroups (meaning with favorable label of the tree). TRUE is default.} -\item{tables}{set to TRUE if tables of incidence must be shown. FALSE is +\item{tables}{set to TRUE if tables of incidence must be shown. FALSE is default.} \item{verbose}{print infos during computation. FALSE is default.} \item{compete}{print competitors rules thanks to competitors computation of - the tree} +the tree} } \value{ data.frame of rules } \description{ -Function which uses \code{\link{VT.tree}} intern functions. Package +Function which uses \code{\link{VT.tree}} intern functions. Package rpart.plot must be loaded. See \code{\link{VT.tree}} for details. } \examples{ @@ -42,7 +42,8 @@ rpart.plot must be loaded. See \code{\link{VT.tree}} for details. # show subgroups vt.subgroups(vt.tr) # change options you'll be surprised ! - vt.subgroups(vt.tr, verbose = T, tables = T) -} + vt.subgroups(vt.tr, verbose = T, tables = T) +} + } diff --git a/man/vt.tree.Rd b/man/vt.tree.Rd index 427bcc2..a5c252d 100644 --- a/man/vt.tree.Rd +++ b/man/vt.tree.Rd @@ -1,4 +1,4 @@ -% Generated by roxygen2 (4.1.1): do not edit by hand +% Generated by roxygen2: do not edit by hand % Please edit documentation in R/tree.wrapper.R \name{vt.tree} \alias{vt.tree} @@ -8,16 +8,16 @@ vt.tree(tree.type = "class", vt.difft, sens = ">", threshold = seq(0.5, 0.8, 0.1), screening = NULL, ...) } \arguments{ -\item{tree.type}{must be a character. "class" for classification tree, "reg" +\item{tree.type}{must be a character. "class" for classification tree, "reg" for regression tree.} -\item{vt.difft}{\code{\link{VT.difft}} object. Or return of +\item{vt.difft}{\code{\link{VT.difft}} object. Or return of \code{\link{vt.forest}} function.} -\item{sens}{must be a character c(">","<"). See \code{\link{VT.tree}} for +\item{sens}{must be a character c(">","<"). See \code{\link{VT.tree}} for details.} -\item{threshold}{must be numeric. It can be a unique value or a vector. If +\item{threshold}{must be numeric. It can be a unique value or a vector. If numeric vector, a list is returned. See \code{\link{VT.tree}} for details.} \item{screening}{must be logical. If TRUE, only varimp variables of VT.object @@ -26,23 +26,23 @@ is used to create the tree.} \item{...}{rpart() function parameters. Can be used for any tree.type.} } \value{ -\code{VT.tree} or a list of \code{VT.tree} depending on threshold +\code{VT.tree} or a list of \code{VT.tree} depending on threshold dimension. See examples. } \description{ -\code{vt.tree} is a wrapper of \code{\link{VT.tree.class}} and -\code{\link{VT.tree.reg}}. With parameter tree.type, any of these two class +\code{vt.tree} is a wrapper of \code{\link{VT.tree.class}} and +\code{\link{VT.tree.reg}}. With parameter tree.type, any of these two class can be used with its own parameter. } \details{ -See \code{\link{VT.tree}}, \code{\link{VT.tree.class}} and +See \code{\link{VT.tree}}, \code{\link{VT.tree.class}} and \code{\link{VT.tree.reg}} classes. } \examples{ \dontrun{ # data(sepsis) vt.o <- vt.data(sepsis, "survival", "THERAPY", T) - # inside model : + # inside model : vt.f <- vt.forest("one", vt.o) # use classification tree vt.tr <- vt.tree("class", vt.f, threshold = c(0.01, 0.05)) @@ -54,5 +54,6 @@ See \code{\link{VT.tree}}, \code{\link{VT.tree.class}} and vt.tr$tree1$getInfos() # ... } + }