# This file is automatically generated, you probably don't want to edit this
chisqposttestOptions <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
"chisqposttestOptions",
inherit = jmvcore::Options,
public = list(
initialize = function(
rows = NULL,
cols = NULL,
posthoc = "bonferroni",
sig = 0.05,
excl = FALSE,
exp = FALSE,
plot = FALSE, ...) {
super$initialize(
package="ClinicoPath",
name="chisqposttest",
requiresData=TRUE,
...)
private$..rows <- jmvcore::OptionVariable$new(
"rows",
rows,
suggested=list(
"ordinal",
"nominal"),
permitted=list(
"factor"))
private$..cols <- jmvcore::OptionVariable$new(
"cols",
cols,
suggested=list(
"ordinal",
"nominal"),
permitted=list(
"factor"))
private$..posthoc <- jmvcore::OptionList$new(
"posthoc",
posthoc,
options=list(
"bonferroni",
"holm",
"fdr",
"none"),
default="bonferroni")
private$..sig <- jmvcore::OptionNumber$new(
"sig",
sig,
min=0.001,
max=0.1,
default=0.05)
private$..excl <- jmvcore::OptionBool$new(
"excl",
excl,
default=FALSE)
private$..exp <- jmvcore::OptionBool$new(
"exp",
exp,
default=FALSE)
private$..plot <- jmvcore::OptionBool$new(
"plot",
plot,
default=FALSE)
self$.addOption(private$..rows)
self$.addOption(private$..cols)
self$.addOption(private$..posthoc)
self$.addOption(private$..sig)
self$.addOption(private$..excl)
self$.addOption(private$..exp)
self$.addOption(private$..plot)
}),
active = list(
rows = function() private$..rows$value,
cols = function() private$..cols$value,
posthoc = function() private$..posthoc$value,
sig = function() private$..sig$value,
excl = function() private$..excl$value,
exp = function() private$..exp$value,
plot = function() private$..plot$value),
private = list(
..rows = NA,
..cols = NA,
..posthoc = NA,
..sig = NA,
..excl = NA,
..exp = NA,
..plot = NA)
)
chisqposttestResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
"chisqposttestResults",
inherit = jmvcore::Group,
active = list(
todo = function() private$.items[["todo"]],
chisqTable = function() private$.items[["chisqTable"]],
contingencyTable = function() private$.items[["contingencyTable"]],
posthocTable = function() private$.items[["posthocTable"]],
plotOutput = function() private$.items[["plotOutput"]]),
private = list(),
public=list(
initialize=function(options) {
super$initialize(
options=options,
name="",
title="Chi-Square Post-Hoc Tests",
refs=list(
"chisq.posthoc.test",
"vcd",
"ClinicoPathJamoviModule"))
self$add(jmvcore::Html$new(
options=options,
name="todo",
title="To Do",
clearWith=list(
"rows",
"cols")))
self$add(jmvcore::Table$new(
options=options,
name="chisqTable",
title="Chi-Square Test Results",
rows=1,
columns=list(
list(
`name`="stat",
`title`="Statistic",
`type`="text"),
list(
`name`="value",
`title`="Value",
`type`="number"),
list(
`name`="df",
`title`="df",
`type`="integer"),
list(
`name`="p",
`title`="p-value",
`type`="number",
`format`="zto,pvalue")),
clearWith=list(
"rows",
"cols",
"excl")))
self$add(jmvcore::Html$new(
options=options,
name="contingencyTable",
title="Contingency Table",
clearWith=list(
"rows",
"cols",
"excl",
"exp")))
self$add(jmvcore::Table$new(
options=options,
name="posthocTable",
title="Post-Hoc Test Results",
columns=list(
list(
`name`="comparison",
`title`="Comparison",
`type`="text"),
list(
`name`="chi",
`title`="Chi-Square",
`type`="number"),
list(
`name`="p",
`title`="p-value",
`type`="number",
`format`="zto,pvalue"),
list(
`name`="padj",
`title`="Adj. p-value",
`type`="number",
`format`="zto,pvalue"),
list(
`name`="sig",
`title`="Significant",
`type`="text")),
clearWith=list(
"rows",
"cols",
"posthoc",
"sig",
"excl")))
self$add(jmvcore::Image$new(
options=options,
name="plotOutput",
title="Standardized Residuals",
width=600,
height=400,
renderFun=".plot",
visible="(plot)",
clearWith=list(
"rows",
"cols",
"excl")))}))
chisqposttestBase <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
"chisqposttestBase",
inherit = jmvcore::Analysis,
public = list(
initialize = function(options, data=NULL, datasetId="", analysisId="", revision=0) {
super$initialize(
package = "ClinicoPath",
name = "chisqposttest",
version = c(0,0,3),
options = options,
results = chisqposttestResults$new(options=options),
data = data,
datasetId = datasetId,
analysisId = analysisId,
revision = revision,
pause = NULL,
completeWhenFilled = FALSE,
requiresMissings = FALSE,
weightsSupport = 'auto')
}))
#' Chi-Square Post-Hoc Tests
#'
#' Performs Chi-Square test and post-hoc pairwise comparisons.
#'
#' @examples
#' \donttest{
#' # example will be added
#'}
#' @param data The data as a data frame.
#' @param rows variable in the rows
#' @param cols variable in the columns
#' @param posthoc Method for p-value adjustment in post-hoc tests
#' @param sig alpha level for significance testing
#' @param excl exclude missing values from analysis
#' @param exp show expected values in the table
#' @param plot display plot of standardized residuals
#' @return A results object containing:
#' \tabular{llllll}{
#' \code{results$todo} \tab \tab \tab \tab \tab a html \cr
#' \code{results$chisqTable} \tab \tab \tab \tab \tab a table \cr
#' \code{results$contingencyTable} \tab \tab \tab \tab \tab a html \cr
#' \code{results$posthocTable} \tab \tab \tab \tab \tab a table \cr
#' \code{results$plotOutput} \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$chisqTable$asDF}
#'
#' \code{as.data.frame(results$chisqTable)}
#'
#' @export
chisqposttest <- function(
data,
rows,
cols,
posthoc = "bonferroni",
sig = 0.05,
excl = FALSE,
exp = FALSE,
plot = FALSE) {
if ( ! requireNamespace("jmvcore", quietly=TRUE))
stop("chisqposttest requires jmvcore to be installed (restart may be required)")
if ( ! missing(rows)) rows <- jmvcore::resolveQuo(jmvcore::enquo(rows))
if ( ! missing(cols)) cols <- jmvcore::resolveQuo(jmvcore::enquo(cols))
if (missing(data))
data <- jmvcore::marshalData(
parent.frame(),
`if`( ! missing(rows), rows, NULL),
`if`( ! missing(cols), cols, NULL))
for (v in rows) if (v %in% names(data)) data[[v]] <- as.factor(data[[v]])
for (v in cols) if (v %in% names(data)) data[[v]] <- as.factor(data[[v]])
options <- chisqposttestOptions$new(
rows = rows,
cols = cols,
posthoc = posthoc,
sig = sig,
excl = excl,
exp = exp,
plot = plot)
analysis <- chisqposttestClass$new(
options = options,
data = data)
analysis$run()
analysis$results
}
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