# This file is automatically generated, you probably don't want to edit this
treeOptions <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
"treeOptions",
inherit = jmvcore::Options,
public = list(
initialize = function(
dep = NULL,
covs = NULL,
facs = NULL,
per = 0.7,
over1 = TRUE,
tab1 = FALSE,
over2 = FALSE,
tab2 = FALSE,
cla = FALSE,
plot = FALSE,
plot1 = FALSE,
width = 500,
height = 500,
width1 = 500,
height1 = 500, ...) {
super$initialize(
package="snowCluster",
name="tree",
requiresData=TRUE,
...)
private$..dep <- jmvcore::OptionVariable$new(
"dep",
dep,
suggested=list(
"nominal"),
permitted=list(
"factor"))
private$..covs <- jmvcore::OptionVariables$new(
"covs",
covs,
suggested=list(
"continuous"),
permitted=list(
"numeric"))
private$..facs <- jmvcore::OptionVariables$new(
"facs",
facs,
suggested=list(
"nominal",
"ordinal"),
permitted=list(
"factor"))
private$..per <- jmvcore::OptionNumber$new(
"per",
per,
min=0.1,
max=1,
default=0.7)
private$..over1 <- jmvcore::OptionBool$new(
"over1",
over1,
default=TRUE)
private$..tab1 <- jmvcore::OptionBool$new(
"tab1",
tab1,
default=FALSE)
private$..over2 <- jmvcore::OptionBool$new(
"over2",
over2,
default=FALSE)
private$..tab2 <- jmvcore::OptionBool$new(
"tab2",
tab2,
default=FALSE)
private$..cla <- jmvcore::OptionBool$new(
"cla",
cla,
default=FALSE)
private$..plot <- jmvcore::OptionBool$new(
"plot",
plot,
default=FALSE)
private$..plot1 <- jmvcore::OptionBool$new(
"plot1",
plot1,
default=FALSE)
private$..width <- jmvcore::OptionInteger$new(
"width",
width,
default=500)
private$..height <- jmvcore::OptionInteger$new(
"height",
height,
default=500)
private$..width1 <- jmvcore::OptionInteger$new(
"width1",
width1,
default=500)
private$..height1 <- jmvcore::OptionInteger$new(
"height1",
height1,
default=500)
self$.addOption(private$..dep)
self$.addOption(private$..covs)
self$.addOption(private$..facs)
self$.addOption(private$..per)
self$.addOption(private$..over1)
self$.addOption(private$..tab1)
self$.addOption(private$..over2)
self$.addOption(private$..tab2)
self$.addOption(private$..cla)
self$.addOption(private$..plot)
self$.addOption(private$..plot1)
self$.addOption(private$..width)
self$.addOption(private$..height)
self$.addOption(private$..width1)
self$.addOption(private$..height1)
}),
active = list(
dep = function() private$..dep$value,
covs = function() private$..covs$value,
facs = function() private$..facs$value,
per = function() private$..per$value,
over1 = function() private$..over1$value,
tab1 = function() private$..tab1$value,
over2 = function() private$..over2$value,
tab2 = function() private$..tab2$value,
cla = function() private$..cla$value,
plot = function() private$..plot$value,
plot1 = function() private$..plot1$value,
width = function() private$..width$value,
height = function() private$..height$value,
width1 = function() private$..width1$value,
height1 = function() private$..height1$value),
private = list(
..dep = NA,
..covs = NA,
..facs = NA,
..per = NA,
..over1 = NA,
..tab1 = NA,
..over2 = NA,
..tab2 = NA,
..cla = NA,
..plot = NA,
..plot1 = NA,
..width = NA,
..height = NA,
..width1 = NA,
..height1 = NA)
)
treeResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
"treeResults",
inherit = jmvcore::Group,
active = list(
instructions = function() private$.items[["instructions"]],
text = function() private$.items[["text"]],
over1 = function() private$.items[["over1"]],
tab1 = function() private$.items[["tab1"]],
over2 = function() private$.items[["over2"]],
tab2 = function() private$.items[["tab2"]],
cla = function() private$.items[["cla"]],
plot = function() private$.items[["plot"]],
plot1 = function() private$.items[["plot1"]]),
private = list(),
public=list(
initialize=function(options) {
super$initialize(
options=options,
name="",
title="Decision Tree",
refs="snowCluster")
self$add(jmvcore::Html$new(
options=options,
name="instructions",
title="Instructions",
visible=TRUE))
self$add(jmvcore::Preformatted$new(
options=options,
name="text",
title=""))
self$add(jmvcore::Table$new(
options=options,
name="over1",
title="Overall statistics with training set",
rows=1,
visible="(over1)",
clearWith=list(
"covs",
"dep",
"per",
"facs"),
refs="caret",
columns=list(
list(
`name`="accu",
`title`="Accuracy",
`type`="number"),
list(
`name`="lower",
`title`="Lower",
`type`="number",
`superTitle`="Accuracy 95% CI"),
list(
`name`="upper",
`title`="Upper",
`type`="number",
`superTitle`="Accuracy 95% CI"),
list(
`name`="kappa",
`title`="Kappa",
`type`="number"))))
self$add(jmvcore::Table$new(
options=options,
name="tab1",
title="Confusion Matrix with training set",
visible="(tab1)",
refs="caret",
clearWith=list(
"covs",
"dep",
"per",
"facs"),
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"))))
self$add(jmvcore::Table$new(
options=options,
name="over2",
title="Overall statistics with test set",
rows=1,
visible="(over2)",
clearWith=list(
"covs",
"dep",
"per",
"facs"),
refs="caret",
columns=list(
list(
`name`="accu",
`title`="Accuracy",
`type`="number"),
list(
`name`="lower",
`title`="Lower",
`type`="number",
`superTitle`="Accuracy 95% CI"),
list(
`name`="upper",
`title`="Upper",
`type`="number",
`superTitle`="Accuracy 95% CI"),
list(
`name`="kappa",
`title`="Kappa",
`type`="number"))))
self$add(jmvcore::Table$new(
options=options,
name="tab2",
title="Confusion Matrix with test set",
visible="(tab2)",
refs="caret",
clearWith=list(
"covs",
"dep",
"per",
"facs"),
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"))))
self$add(jmvcore::Table$new(
options=options,
name="cla",
title="Statistics by class with test set",
visible="(cla)",
refs="caret",
clearWith=list(
"covs",
"dep",
"per",
"facs"),
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"))))
self$add(jmvcore::Image$new(
options=options,
name="plot",
title="Decision tree plot with train set",
visible="(plot)",
requiresData=TRUE,
renderFun=".plot",
refs="party",
clearWith=list(
"covs",
"dep",
"facs",
"per",
"width",
"height")))
self$add(jmvcore::Image$new(
options=options,
name="plot1",
title="rpart plot with train set",
visible="(plot1)",
requiresData=TRUE,
renderFun=".plot1",
refs="rpart.plot",
clearWith=list(
"covs",
"dep",
"facs",
"per",
"width1",
"height1")))}))
treeBase <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
"treeBase",
inherit = jmvcore::Analysis,
public = list(
initialize = function(options, data=NULL, datasetId="", analysisId="", revision=0) {
super$initialize(
package = "snowCluster",
name = "tree",
version = c(1,0,0),
options = options,
results = treeResults$new(options=options),
data = data,
datasetId = datasetId,
analysisId = analysisId,
revision = revision,
pause = NULL,
completeWhenFilled = FALSE,
requiresMissings = FALSE,
weightsSupport = 'auto')
}))
#' Decision Tree
#'
#'
#' @param data .
#' @param dep .
#' @param covs .
#' @param facs .
#' @param per .
#' @param over1 .
#' @param tab1 .
#' @param over2 .
#' @param tab2 .
#' @param cla .
#' @param plot .
#' @param plot1 .
#' @param width .
#' @param height .
#' @param width1 .
#' @param height1 .
#' @return A results object containing:
#' \tabular{llllll}{
#' \code{results$instructions} \tab \tab \tab \tab \tab a html \cr
#' \code{results$text} \tab \tab \tab \tab \tab a preformatted \cr
#' \code{results$over1} \tab \tab \tab \tab \tab a table \cr
#' \code{results$tab1} \tab \tab \tab \tab \tab a table \cr
#' \code{results$over2} \tab \tab \tab \tab \tab a table \cr
#' \code{results$tab2} \tab \tab \tab \tab \tab a table \cr
#' \code{results$cla} \tab \tab \tab \tab \tab a table \cr
#' \code{results$plot} \tab \tab \tab \tab \tab an image \cr
#' \code{results$plot1} \tab \tab \tab \tab \tab an image \cr
#' }
#'
#' Tables can be converted to data frames with \code{asDF} or \code{\link{as.data.frame}}. For example:
#'
#' \code{results$over1$asDF}
#'
#' \code{as.data.frame(results$over1)}
#'
#' @export
tree <- function(
data,
dep,
covs,
facs,
per = 0.7,
over1 = TRUE,
tab1 = FALSE,
over2 = FALSE,
tab2 = FALSE,
cla = FALSE,
plot = FALSE,
plot1 = FALSE,
width = 500,
height = 500,
width1 = 500,
height1 = 500) {
if ( ! requireNamespace("jmvcore", quietly=TRUE))
stop("tree requires jmvcore to be installed (restart may be required)")
if ( ! missing(dep)) dep <- jmvcore::resolveQuo(jmvcore::enquo(dep))
if ( ! missing(covs)) covs <- jmvcore::resolveQuo(jmvcore::enquo(covs))
if ( ! missing(facs)) facs <- jmvcore::resolveQuo(jmvcore::enquo(facs))
if (missing(data))
data <- jmvcore::marshalData(
parent.frame(),
`if`( ! missing(dep), dep, NULL),
`if`( ! missing(covs), covs, NULL),
`if`( ! missing(facs), facs, NULL))
for (v in dep) if (v %in% names(data)) data[[v]] <- as.factor(data[[v]])
for (v in facs) if (v %in% names(data)) data[[v]] <- as.factor(data[[v]])
options <- treeOptions$new(
dep = dep,
covs = covs,
facs = facs,
per = per,
over1 = over1,
tab1 = tab1,
over2 = over2,
tab2 = tab2,
cla = cla,
plot = plot,
plot1 = plot1,
width = width,
height = height,
width1 = width1,
height1 = height1)
analysis <- treeClass$new(
options = options,
data = data)
analysis$run()
analysis$results
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.