# This file is automatically generated, you probably don't want to edit this
tableoneOptions <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
"tableoneOptions",
inherit = jmvcore::Options,
public = list(
initialize = function(
vars = NULL,
sty = "t1",
excl = FALSE,
pivot_format = "clinical",
include_statistics = TRUE,
group_comparisons = FALSE, ...) {
super$initialize(
package="ClinicoPathDescriptives",
name="tableone",
requiresData=TRUE,
...)
private$..vars <- jmvcore::OptionVariables$new(
"vars",
vars)
private$..sty <- jmvcore::OptionList$new(
"sty",
sty,
options=list(
"t1",
"t2",
"t3",
"t4",
"t5"),
default="t1")
private$..excl <- jmvcore::OptionBool$new(
"excl",
excl,
default=FALSE)
private$..pivot_format <- jmvcore::OptionList$new(
"pivot_format",
pivot_format,
options=list(
"clinical",
"publication",
"detailed"),
default="clinical")
private$..include_statistics <- jmvcore::OptionBool$new(
"include_statistics",
include_statistics,
default=TRUE)
private$..group_comparisons <- jmvcore::OptionBool$new(
"group_comparisons",
group_comparisons,
default=FALSE)
self$.addOption(private$..vars)
self$.addOption(private$..sty)
self$.addOption(private$..excl)
self$.addOption(private$..pivot_format)
self$.addOption(private$..include_statistics)
self$.addOption(private$..group_comparisons)
}),
active = list(
vars = function() private$..vars$value,
sty = function() private$..sty$value,
excl = function() private$..excl$value,
pivot_format = function() private$..pivot_format$value,
include_statistics = function() private$..include_statistics$value,
group_comparisons = function() private$..group_comparisons$value),
private = list(
..vars = NA,
..sty = NA,
..excl = NA,
..pivot_format = NA,
..include_statistics = NA,
..group_comparisons = NA)
)
tableoneResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
"tableoneResults",
inherit = jmvcore::Group,
active = list(
todo = function() private$.items[["todo"]],
tablestyle1 = function() private$.items[["tablestyle1"]],
tablestyle2 = function() private$.items[["tablestyle2"]],
tablestyle3 = function() private$.items[["tablestyle3"]],
tablestyle4 = function() private$.items[["tablestyle4"]],
tablestyle5 = function() private$.items[["tablestyle5"]]),
private = list(),
public=list(
initialize=function(options) {
super$initialize(
options=options,
name="",
title="Table One",
refs=list(
"ClinicoPathJamoviModule",
"whoisinthisstudy"))
self$add(jmvcore::Html$new(
options=options,
name="todo",
title="Instructions"))
self$add(jmvcore::Preformatted$new(
options=options,
name="tablestyle1",
title="Table One Output (tableone)",
clearWith=list(
"vars",
"excl"),
visible="(sty:t1)",
refs="tableone"))
self$add(jmvcore::Html$new(
options=options,
name="tablestyle2",
title="Summary Table (gtsummary)",
clearWith=list(
"vars",
"excl"),
visible="(sty:t2)",
refs="gtsummary"))
self$add(jmvcore::Html$new(
options=options,
name="tablestyle3",
title="Descriptive Table (arsenal)",
clearWith=list(
"vars",
"excl"),
visible="(sty:t3)",
refs="arsenal"))
self$add(jmvcore::Html$new(
options=options,
name="tablestyle4",
title="Frequency Tables (janitor)",
clearWith=list(
"vars",
"excl"),
visible="(sty:t4)",
refs="janitor"))
self$add(jmvcore::Html$new(
options=options,
name="tablestyle5",
title="Enhanced Table One (pivottabler)",
clearWith=list(
"vars",
"excl",
"pivot_format",
"include_statistics",
"group_comparisons"),
visible="(sty:t5)"))}))
tableoneBase <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
"tableoneBase",
inherit = jmvcore::Analysis,
public = list(
initialize = function(options, data=NULL, datasetId="", analysisId="", revision=0) {
super$initialize(
package = "ClinicoPathDescriptives",
name = "tableone",
version = c(0,0,3),
options = options,
results = tableoneResults$new(options=options),
data = data,
datasetId = datasetId,
analysisId = analysisId,
revision = revision,
pause = NULL,
completeWhenFilled = FALSE,
requiresMissings = FALSE,
weightsSupport = 'auto')
}))
#' Table One
#'
#' This function generates a "Table One", a descriptive summary table
#' frequently used in clinicopathological research manuscripts. It supports
#' multiple output styles for flexible formatting.
#'
#'
#' @examples
#' \donttest{
#' # Example usage:
#' # data('histopathology')
#' # dat <- as.data.frame(histopathology)
#' # ClinicoPath::tableone(
#' # data = dat,
#' # vars = vars(Sex, PreinvasiveComponent, LVI, PNI, Grade, Age),
#' # sty = "t3",
#' # excl = TRUE)
#'}
#' @param data The input data as a data frame.
#' @param vars A set of variable names from \code{data} to include in the
#' Table One. Supports numeric, ordinal, and categorical variables.
#' @param sty Specify the output style for the table. Each option uses a
#' different package for formatting.
#' @param excl Boolean option to exclude missing values (NA) from the
#' analysis. Note: Exclusion may remove entire cases.
#' @param pivot_format Formatting style for pivottabler enhanced tables.
#' @param include_statistics Include advanced statistical summaries in pivot
#' format.
#' @param group_comparisons Enable group comparison features in pivot table.
#' @return A results object containing:
#' \tabular{llllll}{
#' \code{results$todo} \tab \tab \tab \tab \tab a html \cr
#' \code{results$tablestyle1} \tab \tab \tab \tab \tab a preformatted \cr
#' \code{results$tablestyle2} \tab \tab \tab \tab \tab a html \cr
#' \code{results$tablestyle3} \tab \tab \tab \tab \tab a html \cr
#' \code{results$tablestyle4} \tab \tab \tab \tab \tab a html \cr
#' \code{results$tablestyle5} \tab \tab \tab \tab \tab a html \cr
#' }
#'
#' @export
tableone <- function(
data,
vars,
sty = "t1",
excl = FALSE,
pivot_format = "clinical",
include_statistics = TRUE,
group_comparisons = FALSE) {
if ( ! requireNamespace("jmvcore", quietly=TRUE))
stop("tableone requires jmvcore to be installed (restart may be required)")
if ( ! missing(vars)) vars <- jmvcore::resolveQuo(jmvcore::enquo(vars))
if (missing(data))
data <- jmvcore::marshalData(
parent.frame(),
`if`( ! missing(vars), vars, NULL))
options <- tableoneOptions$new(
vars = vars,
sty = sty,
excl = excl,
pivot_format = pivot_format,
include_statistics = include_statistics,
group_comparisons = group_comparisons)
analysis <- tableoneClass$new(
options = options,
data = data)
analysis$run()
analysis$results
}
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