R/facet.h.R
In hyunsooseol/snowIRT: Item Response Theory for jamovi
Defines functions
facet
Documented in
facet
# This file is automatically generated, you probably don't want to edit this
facetOptions <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
"facetOptions",
inherit = jmvcore::Options,
public = list(
initialize = function(
dep = NULL,
id = NULL,
facet = NULL,
rm = FALSE,
im = FALSE,
inter = FALSE,
raw = FALSE,
sm = FALSE,
ifit = FALSE,
pm = FALSE,
pfit = FALSE,
plot1 = FALSE,
width1 = 500,
height1 = 500,
plot2 = FALSE,
width2 = 500,
height2 = 500,
plot3 = FALSE,
width3 = 500,
height3 = 500,
angle = 0,
plot4 = FALSE,
width4 = 500,
height4 = 500,
plot5 = FALSE,
num = 1,
width5 = 500,
height5 = 500,
plot6 = FALSE,
num1 = 1,
width6 = 500,
height6 = 500,
plot7 = FALSE,
width7 = 500,
height7 = 500,
angle1 = 0,
plot8 = FALSE,
width8 = 500,
height8 = 500,
g = FALSE,
d = FALSE,
formula = "value ~ (1 | subject) + (1 | task) + (1 | rater:task) + (1 | subject:task)",
mea = FALSE,
error = FALSE, ...) {
super$initialize(
package="snowIRT",
name="facet",
requiresData=TRUE,
...)
private$..dep <- jmvcore::OptionVariable$new(
"dep",
dep,
suggested=list(
"continuous"),
permitted=list(
"numeric"))
private$..id <- jmvcore::OptionVariable$new(
"id",
id,
suggested=list(
"nominal"),
permitted=list(
"factor"))
private$..facet <- jmvcore::OptionVariables$new(
"facet",
facet,
suggested=list(
"nominal"),
permitted=list(
"factor"))
private$..rm <- jmvcore::OptionBool$new(
"rm",
rm,
default=FALSE)
private$..im <- jmvcore::OptionBool$new(
"im",
im,
default=FALSE)
private$..inter <- jmvcore::OptionBool$new(
"inter",
inter,
default=FALSE)
private$..raw <- jmvcore::OptionBool$new(
"raw",
raw,
default=FALSE)
private$..sm <- jmvcore::OptionBool$new(
"sm",
sm,
default=FALSE)
private$..ifit <- jmvcore::OptionBool$new(
"ifit",
ifit,
default=FALSE)
private$..pm <- jmvcore::OptionBool$new(
"pm",
pm,
default=FALSE)
private$..pfit <- jmvcore::OptionBool$new(
"pfit",
pfit,
default=FALSE)
private$..plot1 <- jmvcore::OptionBool$new(
"plot1",
plot1,
default=FALSE)
private$..width1 <- jmvcore::OptionInteger$new(
"width1",
width1,
default=500)
private$..height1 <- jmvcore::OptionInteger$new(
"height1",
height1,
default=500)
private$..plot2 <- jmvcore::OptionBool$new(
"plot2",
plot2,
default=FALSE)
private$..width2 <- jmvcore::OptionInteger$new(
"width2",
width2,
default=500)
private$..height2 <- jmvcore::OptionInteger$new(
"height2",
height2,
default=500)
private$..plot3 <- jmvcore::OptionBool$new(
"plot3",
plot3,
default=FALSE)
private$..width3 <- jmvcore::OptionInteger$new(
"width3",
width3,
default=500)
private$..height3 <- jmvcore::OptionInteger$new(
"height3",
height3,
default=500)
private$..angle <- jmvcore::OptionNumber$new(
"angle",
angle,
min=0,
max=90,
default=0)
private$..plot4 <- jmvcore::OptionBool$new(
"plot4",
plot4,
default=FALSE)
private$..width4 <- jmvcore::OptionInteger$new(
"width4",
width4,
default=500)
private$..height4 <- jmvcore::OptionInteger$new(
"height4",
height4,
default=500)
private$..plot5 <- jmvcore::OptionBool$new(
"plot5",
plot5,
default=FALSE)
private$..num <- jmvcore::OptionInteger$new(
"num",
num,
default=1,
min=1)
private$..width5 <- jmvcore::OptionInteger$new(
"width5",
width5,
default=500)
private$..height5 <- jmvcore::OptionInteger$new(
"height5",
height5,
default=500)
private$..plot6 <- jmvcore::OptionBool$new(
"plot6",
plot6,
default=FALSE)
private$..num1 <- jmvcore::OptionInteger$new(
"num1",
num1,
default=1,
min=1)
private$..width6 <- jmvcore::OptionInteger$new(
"width6",
width6,
default=500)
private$..height6 <- jmvcore::OptionInteger$new(
"height6",
height6,
default=500)
private$..plot7 <- jmvcore::OptionBool$new(
"plot7",
plot7,
default=FALSE)
private$..width7 <- jmvcore::OptionInteger$new(
"width7",
width7,
default=500)
private$..height7 <- jmvcore::OptionInteger$new(
"height7",
height7,
default=500)
private$..angle1 <- jmvcore::OptionNumber$new(
"angle1",
angle1,
min=0,
max=90,
default=0)
private$..plot8 <- jmvcore::OptionBool$new(
"plot8",
plot8,
default=FALSE)
private$..width8 <- jmvcore::OptionInteger$new(
"width8",
width8,
default=500)
private$..height8 <- jmvcore::OptionInteger$new(
"height8",
height8,
default=500)
private$..g <- jmvcore::OptionBool$new(
"g",
g,
default=FALSE)
private$..d <- jmvcore::OptionBool$new(
"d",
d,
default=FALSE)
private$..formula <- jmvcore::OptionString$new(
"formula",
formula,
default="value ~ (1 | subject) + (1 | task) + (1 | rater:task) + (1 | subject:task)")
private$..mea <- jmvcore::OptionBool$new(
"mea",
mea,
default=FALSE)
private$..error <- jmvcore::OptionBool$new(
"error",
error,
default=FALSE)
self$.addOption(private$..dep)
self$.addOption(private$..id)
self$.addOption(private$..facet)
self$.addOption(private$..rm)
self$.addOption(private$..im)
self$.addOption(private$..inter)
self$.addOption(private$..raw)
self$.addOption(private$..sm)
self$.addOption(private$..ifit)
self$.addOption(private$..pm)
self$.addOption(private$..pfit)
self$.addOption(private$..plot1)
self$.addOption(private$..width1)
self$.addOption(private$..height1)
self$.addOption(private$..plot2)
self$.addOption(private$..width2)
self$.addOption(private$..height2)
self$.addOption(private$..plot3)
self$.addOption(private$..width3)
self$.addOption(private$..height3)
self$.addOption(private$..angle)
self$.addOption(private$..plot4)
self$.addOption(private$..width4)
self$.addOption(private$..height4)
self$.addOption(private$..plot5)
self$.addOption(private$..num)
self$.addOption(private$..width5)
self$.addOption(private$..height5)
self$.addOption(private$..plot6)
self$.addOption(private$..num1)
self$.addOption(private$..width6)
self$.addOption(private$..height6)
self$.addOption(private$..plot7)
self$.addOption(private$..width7)
self$.addOption(private$..height7)
self$.addOption(private$..angle1)
self$.addOption(private$..plot8)
self$.addOption(private$..width8)
self$.addOption(private$..height8)
self$.addOption(private$..g)
self$.addOption(private$..d)
self$.addOption(private$..formula)
self$.addOption(private$..mea)
self$.addOption(private$..error)
}),
active = list(
dep = function() private$..dep$value,
id = function() private$..id$value,
facet = function() private$..facet$value,
rm = function() private$..rm$value,
im = function() private$..im$value,
inter = function() private$..inter$value,
raw = function() private$..raw$value,
sm = function() private$..sm$value,
ifit = function() private$..ifit$value,
pm = function() private$..pm$value,
pfit = function() private$..pfit$value,
plot1 = function() private$..plot1$value,
width1 = function() private$..width1$value,
height1 = function() private$..height1$value,
plot2 = function() private$..plot2$value,
width2 = function() private$..width2$value,
height2 = function() private$..height2$value,
plot3 = function() private$..plot3$value,
width3 = function() private$..width3$value,
height3 = function() private$..height3$value,
angle = function() private$..angle$value,
plot4 = function() private$..plot4$value,
width4 = function() private$..width4$value,
height4 = function() private$..height4$value,
plot5 = function() private$..plot5$value,
num = function() private$..num$value,
width5 = function() private$..width5$value,
height5 = function() private$..height5$value,
plot6 = function() private$..plot6$value,
num1 = function() private$..num1$value,
width6 = function() private$..width6$value,
height6 = function() private$..height6$value,
plot7 = function() private$..plot7$value,
width7 = function() private$..width7$value,
height7 = function() private$..height7$value,
angle1 = function() private$..angle1$value,
plot8 = function() private$..plot8$value,
width8 = function() private$..width8$value,
height8 = function() private$..height8$value,
g = function() private$..g$value,
d = function() private$..d$value,
formula = function() private$..formula$value,
mea = function() private$..mea$value,
error = function() private$..error$value),
private = list(
..dep = NA,
..id = NA,
..facet = NA,
..rm = NA,
..im = NA,
..inter = NA,
..raw = NA,
..sm = NA,
..ifit = NA,
..pm = NA,
..pfit = NA,
..plot1 = NA,
..width1 = NA,
..height1 = NA,
..plot2 = NA,
..width2 = NA,
..height2 = NA,
..plot3 = NA,
..width3 = NA,
..height3 = NA,
..angle = NA,
..plot4 = NA,
..width4 = NA,
..height4 = NA,
..plot5 = NA,
..num = NA,
..width5 = NA,
..height5 = NA,
..plot6 = NA,
..num1 = NA,
..width6 = NA,
..height6 = NA,
..plot7 = NA,
..width7 = NA,
..height7 = NA,
..angle1 = NA,
..plot8 = NA,
..width8 = NA,
..height8 = NA,
..g = NA,
..d = NA,
..formula = NA,
..mea = NA,
..error = NA)
)
facetResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
"facetResults",
inherit = jmvcore::Group,
active = list(
instructions = function() private$.items[["instructions"]],
text1 = function() private$.items[["text1"]],
text = function() private$.items[["text"]],
rm = function() private$.items[["rm"]],
im = function() private$.items[["im"]],
sm = function() private$.items[["sm"]],
raw = function() private$.items[["raw"]],
inter = function() private$.items[["inter"]],
ifit = function() private$.items[["ifit"]],
pm = function() private$.items[["pm"]],
pfit = function() private$.items[["pfit"]],
plot1 = function() private$.items[["plot1"]],
plot2 = function() private$.items[["plot2"]],
plot3 = function() private$.items[["plot3"]],
plot7 = function() private$.items[["plot7"]],
plot8 = function() private$.items[["plot8"]],
plot4 = function() private$.items[["plot4"]],
plot5 = function() private$.items[["plot5"]],
plot6 = function() private$.items[["plot6"]],
g = function() private$.items[["g"]],
d = function() private$.items[["d"]],
mea = function() private$.items[["mea"]],
error = function() private$.items[["error"]]),
private = list(),
public=list(
initialize=function(options) {
super$initialize(
options=options,
name="",
title="Many Facet Rasch Model",
refs="snowIRT")
self$add(jmvcore::Html$new(
options=options,
name="instructions",
title="Instructions",
visible=TRUE))
self$add(jmvcore::Preformatted$new(
options=options,
name="text1",
title=" "))
self$add(jmvcore::Preformatted$new(
options=options,
name="text",
title="WLE Reliability"))
self$add(jmvcore::Table$new(
options=options,
name="rm",
title="Rater measure",
visible="(rm)",
clearWith=list(
"dep",
"id",
"facet"),
refs="TAM",
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"),
list(
`name`="measure",
`title`="Measure",
`type`="number"),
list(
`name`="se",
`title`="SE",
`type`="number"))))
self$add(jmvcore::Table$new(
options=options,
name="im",
title="Task measure",
visible="(im)",
clearWith=list(
"dep",
"id",
"facet"),
refs="TAM",
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"),
list(
`name`="measure",
`title`="Measure",
`type`="number"),
list(
`name`="se",
`title`="SE",
`type`="number"))))
self$add(jmvcore::Table$new(
options=options,
name="sm",
title="Step measure",
visible="(sm)",
clearWith=list(
"dep",
"id",
"facet"),
refs="TAM",
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"),
list(
`name`="measure",
`title`="Measure",
`type`="number"),
list(
`name`="se",
`title`="SE",
`type`="number"))))
self$add(jmvcore::Table$new(
options=options,
name="raw",
title="Interaction: raw score",
visible="(raw)",
clearWith=list(
"dep",
"id",
"facet"),
refs="TAM",
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"),
list(
`name`="rater",
`title`="Rater",
`type`="text"),
list(
`name`="task",
`title`="Task",
`type`="text"),
list(
`name`="score",
`title`="Score",
`type`="number"))))
self$add(jmvcore::Table$new(
options=options,
name="inter",
title="Interaction: Measure",
visible="(inter)",
clearWith=list(
"dep",
"id",
"facet"),
refs="TAM",
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"),
list(
`name`="rater",
`title`="Rater",
`type`="text"),
list(
`name`="task",
`title`="Task",
`type`="text"),
list(
`name`="measure",
`title`="Measure",
`type`="number"),
list(
`name`="se",
`title`="SE",
`type`="number"))))
self$add(jmvcore::Table$new(
options=options,
name="ifit",
title="Interaction fit: Rater X Task",
visible="(ifit)",
clearWith=list(
"dep",
"id",
"facet"),
refs="TAM",
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"),
list(
`name`="rater",
`title`="Rater",
`type`="text"),
list(
`name`="task",
`title`="Task",
`type`="text"),
list(
`name`="outfit",
`title`="Outfit",
`type`="number"),
list(
`name`="infit",
`title`="Infit",
`type`="number"),
list(
`name`="marker",
`title`="Diagnosis",
`type`="text"))))
self$add(jmvcore::Table$new(
options=options,
name="pm",
title="Person measure",
visible="(pm)",
clearWith=list(
"dep",
"id",
"facet"),
refs="TAM",
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"),
list(
`name`="ps",
`title`="Score",
`type`="integer"),
list(
`name`="pt",
`title`="Theta",
`type`="number"),
list(
`name`="pe",
`title`="SE",
`type`="number"))))
self$add(jmvcore::Table$new(
options=options,
name="pfit",
title="Person fit",
visible="(pfit)",
clearWith=list(
"dep",
"id",
"facet"),
refs="TAM",
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"),
list(
`name`="outfit",
`title`="Outfit",
`type`="number"),
list(
`name`="infit",
`title`="Infit",
`format`="number"),
list(
`name`="marker",
`title`="Diagnosis",
`type`="text"))))
self$add(jmvcore::Image$new(
options=options,
name="plot1",
title="Rater plot",
visible="(plot1)",
renderFun=".plot1",
refs="snowIRT",
clearWith=list(
"dep",
"id",
"facet",
"width1",
"height1")))
self$add(jmvcore::Image$new(
options=options,
name="plot2",
title="Task plot",
visible="(plot2)",
renderFun=".plot2",
refs="snowIRT",
clearWith=list(
"dep",
"id",
"facet",
"width2",
"height2")))
self$add(jmvcore::Image$new(
options=options,
name="plot3",
title="Interaction: Rater X Task",
visible="(plot3)",
renderFun=".plot3",
refs="snowIRT",
clearWith=list(
"dep",
"id",
"facet",
"width3",
"height3",
"angle")))
self$add(jmvcore::Image$new(
options=options,
name="plot7",
title="Interaction Fit: Rater X Task",
visible="(plot7)",
renderFun=".plot7",
refs="snowIRT",
clearWith=list(
"dep",
"id",
"facet",
"width7",
"height7",
"angle1")))
self$add(jmvcore::Image$new(
options=options,
name="plot8",
title="Person Fit",
visible="(plot8)",
renderFun=".plot8",
refs="snowIRT",
clearWith=list(
"dep",
"id",
"facet",
"width8",
"height8")))
self$add(jmvcore::Image$new(
options=options,
name="plot4",
title="Wright Map",
visible="(plot4)",
renderFun=".plot4",
refs="snowIRT",
clearWith=list(
"dep",
"id",
"facet",
"width4",
"height4")))
self$add(jmvcore::Image$new(
options=options,
name="plot5",
title="Expected Scores Curve",
visible="(plot5)",
renderFun=".plot5",
refs="snowIRT",
clearWith=list(
"dep",
"id",
"facet",
"num",
"width5",
"height5")))
self$add(jmvcore::Image$new(
options=options,
name="plot6",
title="Item Response Curve",
visible="(plot6)",
renderFun=".plot6",
refs="snowIRT",
clearWith=list(
"dep",
"id",
"facet",
"num1",
"width6",
"height6")))
self$add(jmvcore::Table$new(
options=options,
name="g",
title="Variance components: G study",
visible="(g)",
clearWith=list(
"dep",
"id",
"facet"),
refs="gtheory",
columns=list(
list(
`name`="name",
`title`="Source",
`type`="text",
`content`="($key)"),
list(
`name`="var",
`title`="variance",
`type`="number"),
list(
`name`="percent",
`title`="Percent",
`type`="number"),
list(
`name`="n",
`title`="n",
`type`="integer"))))
self$add(jmvcore::Table$new(
options=options,
name="d",
title="Variance components: D study",
visible="(d)",
clearWith=list(
"dep",
"id",
"facet"),
refs="gtheory",
columns=list(
list(
`name`="name",
`title`="Source",
`type`="text",
`content`="($key)"),
list(
`name`="var",
`title`="Variance",
`type`="number"),
list(
`name`="percent",
`title`="Percent",
`type`="number"),
list(
`name`="n",
`title`="n",
`type`="integer"))))
self$add(jmvcore::Table$new(
options=options,
name="mea",
title="Coefficients",
visible="(mea)",
rows=1,
clearWith=list(
"dep",
"id",
"facet"),
refs="gtheory",
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="D Study"),
list(
`name`="generalizability",
`title`="Generalizability",
`type`="number"),
list(
`name`="dependability",
`title`="Dependability",
`type`="number"),
list(
`name`="universe",
`title`="Universe score variance",
`type`="number"))))
self$add(jmvcore::Table$new(
options=options,
name="error",
title="Error variance",
visible="(error)",
rows=1,
clearWith=list(
"dep",
"id",
"facet"),
refs="gtheory",
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="D Study"),
list(
`name`="relative",
`title`="Relative",
`type`="number"),
list(
`name`="absolute",
`title`="Absolute",
`type`="number"))))}))
facetBase <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
"facetBase",
inherit = jmvcore::Analysis,
public = list(
initialize = function(options, data=NULL, datasetId="", analysisId="", revision=0) {
super$initialize(
package = "snowIRT",
name = "facet",
version = c(1,0,0),
options = options,
results = facetResults$new(options=options),
data = data,
datasetId = datasetId,
analysisId = analysisId,
revision = revision,
pause = NULL,
completeWhenFilled = FALSE,
requiresMissings = FALSE,
weightsSupport = 'auto')
}))
#' Many Facet Rasch Model
#'
#'
#' @param data .
#' @param dep .
#' @param id .
#' @param facet .
#' @param rm .
#' @param im .
#' @param inter .
#' @param raw .
#' @param sm .
#' @param ifit .
#' @param pm .
#' @param pfit .
#' @param plot1 .
#' @param width1 .
#' @param height1 .
#' @param plot2 .
#' @param width2 .
#' @param height2 .
#' @param plot3 .
#' @param width3 .
#' @param height3 .
#' @param angle .
#' @param plot4 .
#' @param width4 .
#' @param height4 .
#' @param plot5 .
#' @param num .
#' @param width5 .
#' @param height5 .
#' @param plot6 .
#' @param num1 .
#' @param width6 .
#' @param height6 .
#' @param plot7 .
#' @param width7 .
#' @param height7 .
#' @param angle1 .
#' @param plot8 .
#' @param width8 .
#' @param height8 .
#' @param g .
#' @param d .
#' @param formula .
#' @param mea .
#' @param error .
#' @return A results object containing:
#' \tabular{llllll}{
#' \code{results$instructions} \tab \tab \tab \tab \tab a html \cr
#' \code{results$text1} \tab \tab \tab \tab \tab a preformatted \cr
#' \code{results$text} \tab \tab \tab \tab \tab a preformatted \cr
#' \code{results$rm} \tab \tab \tab \tab \tab a table \cr
#' \code{results$im} \tab \tab \tab \tab \tab a table \cr
#' \code{results$sm} \tab \tab \tab \tab \tab a table \cr
#' \code{results$raw} \tab \tab \tab \tab \tab a table \cr
#' \code{results$inter} \tab \tab \tab \tab \tab a table \cr
#' \code{results$ifit} \tab \tab \tab \tab \tab a table \cr
#' \code{results$pm} \tab \tab \tab \tab \tab a table \cr
#' \code{results$pfit} \tab \tab \tab \tab \tab a table \cr
#' \code{results$plot1} \tab \tab \tab \tab \tab an image \cr
#' \code{results$plot2} \tab \tab \tab \tab \tab an image \cr
#' \code{results$plot3} \tab \tab \tab \tab \tab an image \cr
#' \code{results$plot7} \tab \tab \tab \tab \tab an image \cr
#' \code{results$plot8} \tab \tab \tab \tab \tab an image \cr
#' \code{results$plot4} \tab \tab \tab \tab \tab an image \cr
#' \code{results$plot5} \tab \tab \tab \tab \tab an image \cr
#' \code{results$plot6} \tab \tab \tab \tab \tab an image \cr
#' \code{results$g} \tab \tab \tab \tab \tab a table \cr
#' \code{results$d} \tab \tab \tab \tab \tab a table \cr
#' \code{results$mea} \tab \tab \tab \tab \tab a table \cr
#' \code{results$error} \tab \tab \tab \tab \tab a table \cr
#' }
#'
#' Tables can be converted to data frames with \code{asDF} or \code{\link{as.data.frame}}. For example:
#'
#' \code{results$rm$asDF}
#'
#' \code{as.data.frame(results$rm)}
#'
#' @export
facet <- function(
data,
dep,
id,
facet,
rm = FALSE,
im = FALSE,
inter = FALSE,
raw = FALSE,
sm = FALSE,
ifit = FALSE,
pm = FALSE,
pfit = FALSE,
plot1 = FALSE,
width1 = 500,
height1 = 500,
plot2 = FALSE,
width2 = 500,
height2 = 500,
plot3 = FALSE,
width3 = 500,
height3 = 500,
angle = 0,
plot4 = FALSE,
width4 = 500,
height4 = 500,
plot5 = FALSE,
num = 1,
width5 = 500,
height5 = 500,
plot6 = FALSE,
num1 = 1,
width6 = 500,
height6 = 500,
plot7 = FALSE,
width7 = 500,
height7 = 500,
angle1 = 0,
plot8 = FALSE,
width8 = 500,
height8 = 500,
g = FALSE,
d = FALSE,
formula = "value ~ (1 | subject) + (1 | task) + (1 | rater:task) + (1 | subject:task)",
mea = FALSE,
error = FALSE) {
if ( ! requireNamespace("jmvcore", quietly=TRUE))
stop("facet requires jmvcore to be installed (restart may be required)")
if ( ! missing(dep)) dep <- jmvcore::resolveQuo(jmvcore::enquo(dep))
if ( ! missing(id)) id <- jmvcore::resolveQuo(jmvcore::enquo(id))
if ( ! missing(facet)) facet <- jmvcore::resolveQuo(jmvcore::enquo(facet))
if (missing(data))
data <- jmvcore::marshalData(
parent.frame(),
`if`( ! missing(dep), dep, NULL),
`if`( ! missing(id), id, NULL),
`if`( ! missing(facet), facet, NULL))
for (v in id) if (v %in% names(data)) data[[v]] <- as.factor(data[[v]])
for (v in facet) if (v %in% names(data)) data[[v]] <- as.factor(data[[v]])
options <- facetOptions$new(
dep = dep,
id = id,
facet = facet,
rm = rm,
im = im,
inter = inter,
raw = raw,
sm = sm,
ifit = ifit,
pm = pm,
pfit = pfit,
plot1 = plot1,
width1 = width1,
height1 = height1,
plot2 = plot2,
width2 = width2,
height2 = height2,
plot3 = plot3,
width3 = width3,
height3 = height3,
angle = angle,
plot4 = plot4,
width4 = width4,
height4 = height4,
plot5 = plot5,
num = num,
width5 = width5,
height5 = height5,
plot6 = plot6,
num1 = num1,
width6 = width6,
height6 = height6,
plot7 = plot7,
width7 = width7,
height7 = height7,
angle1 = angle1,
plot8 = plot8,
width8 = width8,
height8 = height8,
g = g,
d = d,
formula = formula,
mea = mea,
error = error)
analysis <- facetClass$new(
options = options,
data = data)
analysis$run()
analysis$results
}
hyunsooseol/snowIRT documentation built on March 20, 2024, 8 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Defines functions facet
Documented in facet
# This file is automatically generated, you probably don't want to edit this
facetOptions <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
"facetOptions",
inherit = jmvcore::Options,
public = list(
initialize = function(
dep = NULL,
id = NULL,
facet = NULL,
rm = FALSE,
im = FALSE,
inter = FALSE,
raw = FALSE,
sm = FALSE,
ifit = FALSE,
pm = FALSE,
pfit = FALSE,
plot1 = FALSE,
width1 = 500,
height1 = 500,
plot2 = FALSE,
width2 = 500,
height2 = 500,
plot3 = FALSE,
width3 = 500,
height3 = 500,
angle = 0,
plot4 = FALSE,
width4 = 500,
height4 = 500,
plot5 = FALSE,
num = 1,
width5 = 500,
height5 = 500,
plot6 = FALSE,
num1 = 1,
width6 = 500,
height6 = 500,
plot7 = FALSE,
width7 = 500,
height7 = 500,
angle1 = 0,
plot8 = FALSE,
width8 = 500,
height8 = 500,
g = FALSE,
d = FALSE,
formula = "value ~ (1 | subject) + (1 | task) + (1 | rater:task) + (1 | subject:task)",
mea = FALSE,
error = FALSE, ...) {
super$initialize(
package="snowIRT",
name="facet",
requiresData=TRUE,
...)
private$..dep <- jmvcore::OptionVariable$new(
"dep",
dep,
suggested=list(
"continuous"),
permitted=list(
"numeric"))
private$..id <- jmvcore::OptionVariable$new(
"id",
id,
suggested=list(
"nominal"),
permitted=list(
"factor"))
private$..facet <- jmvcore::OptionVariables$new(
"facet",
facet,
suggested=list(
"nominal"),
permitted=list(
"factor"))
private$..rm <- jmvcore::OptionBool$new(
"rm",
rm,
default=FALSE)
private$..im <- jmvcore::OptionBool$new(
"im",
im,
default=FALSE)
private$..inter <- jmvcore::OptionBool$new(
"inter",
inter,
default=FALSE)
private$..raw <- jmvcore::OptionBool$new(
"raw",
raw,
default=FALSE)
private$..sm <- jmvcore::OptionBool$new(
"sm",
sm,
default=FALSE)
private$..ifit <- jmvcore::OptionBool$new(
"ifit",
ifit,
default=FALSE)
private$..pm <- jmvcore::OptionBool$new(
"pm",
pm,
default=FALSE)
private$..pfit <- jmvcore::OptionBool$new(
"pfit",
pfit,
default=FALSE)
private$..plot1 <- jmvcore::OptionBool$new(
"plot1",
plot1,
default=FALSE)
private$..width1 <- jmvcore::OptionInteger$new(
"width1",
width1,
default=500)
private$..height1 <- jmvcore::OptionInteger$new(
"height1",
height1,
default=500)
private$..plot2 <- jmvcore::OptionBool$new(
"plot2",
plot2,
default=FALSE)
private$..width2 <- jmvcore::OptionInteger$new(
"width2",
width2,
default=500)
private$..height2 <- jmvcore::OptionInteger$new(
"height2",
height2,
default=500)
private$..plot3 <- jmvcore::OptionBool$new(
"plot3",
plot3,
default=FALSE)
private$..width3 <- jmvcore::OptionInteger$new(
"width3",
width3,
default=500)
private$..height3 <- jmvcore::OptionInteger$new(
"height3",
height3,
default=500)
private$..angle <- jmvcore::OptionNumber$new(
"angle",
angle,
min=0,
max=90,
default=0)
private$..plot4 <- jmvcore::OptionBool$new(
"plot4",
plot4,
default=FALSE)
private$..width4 <- jmvcore::OptionInteger$new(
"width4",
width4,
default=500)
private$..height4 <- jmvcore::OptionInteger$new(
"height4",
height4,
default=500)
private$..plot5 <- jmvcore::OptionBool$new(
"plot5",
plot5,
default=FALSE)
private$..num <- jmvcore::OptionInteger$new(
"num",
num,
default=1,
min=1)
private$..width5 <- jmvcore::OptionInteger$new(
"width5",
width5,
default=500)
private$..height5 <- jmvcore::OptionInteger$new(
"height5",
height5,
default=500)
private$..plot6 <- jmvcore::OptionBool$new(
"plot6",
plot6,
default=FALSE)
private$..num1 <- jmvcore::OptionInteger$new(
"num1",
num1,
default=1,
min=1)
private$..width6 <- jmvcore::OptionInteger$new(
"width6",
width6,
default=500)
private$..height6 <- jmvcore::OptionInteger$new(
"height6",
height6,
default=500)
private$..plot7 <- jmvcore::OptionBool$new(
"plot7",
plot7,
default=FALSE)
private$..width7 <- jmvcore::OptionInteger$new(
"width7",
width7,
default=500)
private$..height7 <- jmvcore::OptionInteger$new(
"height7",
height7,
default=500)
private$..angle1 <- jmvcore::OptionNumber$new(
"angle1",
angle1,
min=0,
max=90,
default=0)
private$..plot8 <- jmvcore::OptionBool$new(
"plot8",
plot8,
default=FALSE)
private$..width8 <- jmvcore::OptionInteger$new(
"width8",
width8,
default=500)
private$..height8 <- jmvcore::OptionInteger$new(
"height8",
height8,
default=500)
private$..g <- jmvcore::OptionBool$new(
"g",
g,
default=FALSE)
private$..d <- jmvcore::OptionBool$new(
"d",
d,
default=FALSE)
private$..formula <- jmvcore::OptionString$new(
"formula",
formula,
default="value ~ (1 | subject) + (1 | task) + (1 | rater:task) + (1 | subject:task)")
private$..mea <- jmvcore::OptionBool$new(
"mea",
mea,
default=FALSE)
private$..error <- jmvcore::OptionBool$new(
"error",
error,
default=FALSE)
self$.addOption(private$..dep)
self$.addOption(private$..id)
self$.addOption(private$..facet)
self$.addOption(private$..rm)
self$.addOption(private$..im)
self$.addOption(private$..inter)
self$.addOption(private$..raw)
self$.addOption(private$..sm)
self$.addOption(private$..ifit)
self$.addOption(private$..pm)
self$.addOption(private$..pfit)
self$.addOption(private$..plot1)
self$.addOption(private$..width1)
self$.addOption(private$..height1)
self$.addOption(private$..plot2)
self$.addOption(private$..width2)
self$.addOption(private$..height2)
self$.addOption(private$..plot3)
self$.addOption(private$..width3)
self$.addOption(private$..height3)
self$.addOption(private$..angle)
self$.addOption(private$..plot4)
self$.addOption(private$..width4)
self$.addOption(private$..height4)
self$.addOption(private$..plot5)
self$.addOption(private$..num)
self$.addOption(private$..width5)
self$.addOption(private$..height5)
self$.addOption(private$..plot6)
self$.addOption(private$..num1)
self$.addOption(private$..width6)
self$.addOption(private$..height6)
self$.addOption(private$..plot7)
self$.addOption(private$..width7)
self$.addOption(private$..height7)
self$.addOption(private$..angle1)
self$.addOption(private$..plot8)
self$.addOption(private$..width8)
self$.addOption(private$..height8)
self$.addOption(private$..g)
self$.addOption(private$..d)
self$.addOption(private$..formula)
self$.addOption(private$..mea)
self$.addOption(private$..error)
}),
active = list(
dep = function() private$..dep$value,
id = function() private$..id$value,
facet = function() private$..facet$value,
rm = function() private$..rm$value,
im = function() private$..im$value,
inter = function() private$..inter$value,
raw = function() private$..raw$value,
sm = function() private$..sm$value,
ifit = function() private$..ifit$value,
pm = function() private$..pm$value,
pfit = function() private$..pfit$value,
plot1 = function() private$..plot1$value,
width1 = function() private$..width1$value,
height1 = function() private$..height1$value,
plot2 = function() private$..plot2$value,
width2 = function() private$..width2$value,
height2 = function() private$..height2$value,
plot3 = function() private$..plot3$value,
width3 = function() private$..width3$value,
height3 = function() private$..height3$value,
angle = function() private$..angle$value,
plot4 = function() private$..plot4$value,
width4 = function() private$..width4$value,
height4 = function() private$..height4$value,
plot5 = function() private$..plot5$value,
num = function() private$..num$value,
width5 = function() private$..width5$value,
height5 = function() private$..height5$value,
plot6 = function() private$..plot6$value,
num1 = function() private$..num1$value,
width6 = function() private$..width6$value,
height6 = function() private$..height6$value,
plot7 = function() private$..plot7$value,
width7 = function() private$..width7$value,
height7 = function() private$..height7$value,
angle1 = function() private$..angle1$value,
plot8 = function() private$..plot8$value,
width8 = function() private$..width8$value,
height8 = function() private$..height8$value,
g = function() private$..g$value,
d = function() private$..d$value,
formula = function() private$..formula$value,
mea = function() private$..mea$value,
error = function() private$..error$value),
private = list(
..dep = NA,
..id = NA,
..facet = NA,
..rm = NA,
..im = NA,
..inter = NA,
..raw = NA,
..sm = NA,
..ifit = NA,
..pm = NA,
..pfit = NA,
..plot1 = NA,
..width1 = NA,
..height1 = NA,
..plot2 = NA,
..width2 = NA,
..height2 = NA,
..plot3 = NA,
..width3 = NA,
..height3 = NA,
..angle = NA,
..plot4 = NA,
..width4 = NA,
..height4 = NA,
..plot5 = NA,
..num = NA,
..width5 = NA,
..height5 = NA,
..plot6 = NA,
..num1 = NA,
..width6 = NA,
..height6 = NA,
..plot7 = NA,
..width7 = NA,
..height7 = NA,
..angle1 = NA,
..plot8 = NA,
..width8 = NA,
..height8 = NA,
..g = NA,
..d = NA,
..formula = NA,
..mea = NA,
..error = NA)
)
facetResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
"facetResults",
inherit = jmvcore::Group,
active = list(
instructions = function() private$.items[["instructions"]],
text1 = function() private$.items[["text1"]],
text = function() private$.items[["text"]],
rm = function() private$.items[["rm"]],
im = function() private$.items[["im"]],
sm = function() private$.items[["sm"]],
raw = function() private$.items[["raw"]],
inter = function() private$.items[["inter"]],
ifit = function() private$.items[["ifit"]],
pm = function() private$.items[["pm"]],
pfit = function() private$.items[["pfit"]],
plot1 = function() private$.items[["plot1"]],
plot2 = function() private$.items[["plot2"]],
plot3 = function() private$.items[["plot3"]],
plot7 = function() private$.items[["plot7"]],
plot8 = function() private$.items[["plot8"]],
plot4 = function() private$.items[["plot4"]],
plot5 = function() private$.items[["plot5"]],
plot6 = function() private$.items[["plot6"]],
g = function() private$.items[["g"]],
d = function() private$.items[["d"]],
mea = function() private$.items[["mea"]],
error = function() private$.items[["error"]]),
private = list(),
public=list(
initialize=function(options) {
super$initialize(
options=options,
name="",
title="Many Facet Rasch Model",
refs="snowIRT")
self$add(jmvcore::Html$new(
options=options,
name="instructions",
title="Instructions",
visible=TRUE))
self$add(jmvcore::Preformatted$new(
options=options,
name="text1",
title=" "))
self$add(jmvcore::Preformatted$new(
options=options,
name="text",
title="WLE Reliability"))
self$add(jmvcore::Table$new(
options=options,
name="rm",
title="Rater measure",
visible="(rm)",
clearWith=list(
"dep",
"id",
"facet"),
refs="TAM",
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"),
list(
`name`="measure",
`title`="Measure",
`type`="number"),
list(
`name`="se",
`title`="SE",
`type`="number"))))
self$add(jmvcore::Table$new(
options=options,
name="im",
title="Task measure",
visible="(im)",
clearWith=list(
"dep",
"id",
"facet"),
refs="TAM",
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"),
list(
`name`="measure",
`title`="Measure",
`type`="number"),
list(
`name`="se",
`title`="SE",
`type`="number"))))
self$add(jmvcore::Table$new(
options=options,
name="sm",
title="Step measure",
visible="(sm)",
clearWith=list(
"dep",
"id",
"facet"),
refs="TAM",
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"),
list(
`name`="measure",
`title`="Measure",
`type`="number"),
list(
`name`="se",
`title`="SE",
`type`="number"))))
self$add(jmvcore::Table$new(
options=options,
name="raw",
title="Interaction: raw score",
visible="(raw)",
clearWith=list(
"dep",
"id",
"facet"),
refs="TAM",
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"),
list(
`name`="rater",
`title`="Rater",
`type`="text"),
list(
`name`="task",
`title`="Task",
`type`="text"),
list(
`name`="score",
`title`="Score",
`type`="number"))))
self$add(jmvcore::Table$new(
options=options,
name="inter",
title="Interaction: Measure",
visible="(inter)",
clearWith=list(
"dep",
"id",
"facet"),
refs="TAM",
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"),
list(
`name`="rater",
`title`="Rater",
`type`="text"),
list(
`name`="task",
`title`="Task",
`type`="text"),
list(
`name`="measure",
`title`="Measure",
`type`="number"),
list(
`name`="se",
`title`="SE",
`type`="number"))))
self$add(jmvcore::Table$new(
options=options,
name="ifit",
title="Interaction fit: Rater X Task",
visible="(ifit)",
clearWith=list(
"dep",
"id",
"facet"),
refs="TAM",
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"),
list(
`name`="rater",
`title`="Rater",
`type`="text"),
list(
`name`="task",
`title`="Task",
`type`="text"),
list(
`name`="outfit",
`title`="Outfit",
`type`="number"),
list(
`name`="infit",
`title`="Infit",
`type`="number"),
list(
`name`="marker",
`title`="Diagnosis",
`type`="text"))))
self$add(jmvcore::Table$new(
options=options,
name="pm",
title="Person measure",
visible="(pm)",
clearWith=list(
"dep",
"id",
"facet"),
refs="TAM",
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"),
list(
`name`="ps",
`title`="Score",
`type`="integer"),
list(
`name`="pt",
`title`="Theta",
`type`="number"),
list(
`name`="pe",
`title`="SE",
`type`="number"))))
self$add(jmvcore::Table$new(
options=options,
name="pfit",
title="Person fit",
visible="(pfit)",
clearWith=list(
"dep",
"id",
"facet"),
refs="TAM",
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"),
list(
`name`="outfit",
`title`="Outfit",
`type`="number"),
list(
`name`="infit",
`title`="Infit",
`format`="number"),
list(
`name`="marker",
`title`="Diagnosis",
`type`="text"))))
self$add(jmvcore::Image$new(
options=options,
name="plot1",
title="Rater plot",
visible="(plot1)",
renderFun=".plot1",
refs="snowIRT",
clearWith=list(
"dep",
"id",
"facet",
"width1",
"height1")))
self$add(jmvcore::Image$new(
options=options,
name="plot2",
title="Task plot",
visible="(plot2)",
renderFun=".plot2",
refs="snowIRT",
clearWith=list(
"dep",
"id",
"facet",
"width2",
"height2")))
self$add(jmvcore::Image$new(
options=options,
name="plot3",
title="Interaction: Rater X Task",
visible="(plot3)",
renderFun=".plot3",
refs="snowIRT",
clearWith=list(
"dep",
"id",
"facet",
"width3",
"height3",
"angle")))
self$add(jmvcore::Image$new(
options=options,
name="plot7",
title="Interaction Fit: Rater X Task",
visible="(plot7)",
renderFun=".plot7",
refs="snowIRT",
clearWith=list(
"dep",
"id",
"facet",
"width7",
"height7",
"angle1")))
self$add(jmvcore::Image$new(
options=options,
name="plot8",
title="Person Fit",
visible="(plot8)",
renderFun=".plot8",
refs="snowIRT",
clearWith=list(
"dep",
"id",
"facet",
"width8",
"height8")))
self$add(jmvcore::Image$new(
options=options,
name="plot4",
title="Wright Map",
visible="(plot4)",
renderFun=".plot4",
refs="snowIRT",
clearWith=list(
"dep",
"id",
"facet",
"width4",
"height4")))
self$add(jmvcore::Image$new(
options=options,
name="plot5",
title="Expected Scores Curve",
visible="(plot5)",
renderFun=".plot5",
refs="snowIRT",
clearWith=list(
"dep",
"id",
"facet",
"num",
"width5",
"height5")))
self$add(jmvcore::Image$new(
options=options,
name="plot6",
title="Item Response Curve",
visible="(plot6)",
renderFun=".plot6",
refs="snowIRT",
clearWith=list(
"dep",
"id",
"facet",
"num1",
"width6",
"height6")))
self$add(jmvcore::Table$new(
options=options,
name="g",
title="Variance components: G study",
visible="(g)",
clearWith=list(
"dep",
"id",
"facet"),
refs="gtheory",
columns=list(
list(
`name`="name",
`title`="Source",
`type`="text",
`content`="($key)"),
list(
`name`="var",
`title`="variance",
`type`="number"),
list(
`name`="percent",
`title`="Percent",
`type`="number"),
list(
`name`="n",
`title`="n",
`type`="integer"))))
self$add(jmvcore::Table$new(
options=options,
name="d",
title="Variance components: D study",
visible="(d)",
clearWith=list(
"dep",
"id",
"facet"),
refs="gtheory",
columns=list(
list(
`name`="name",
`title`="Source",
`type`="text",
`content`="($key)"),
list(
`name`="var",
`title`="Variance",
`type`="number"),
list(
`name`="percent",
`title`="Percent",
`type`="number"),
list(
`name`="n",
`title`="n",
`type`="integer"))))
self$add(jmvcore::Table$new(
options=options,
name="mea",
title="Coefficients",
visible="(mea)",
rows=1,
clearWith=list(
"dep",
"id",
"facet"),
refs="gtheory",
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="D Study"),
list(
`name`="generalizability",
`title`="Generalizability",
`type`="number"),
list(
`name`="dependability",
`title`="Dependability",
`type`="number"),
list(
`name`="universe",
`title`="Universe score variance",
`type`="number"))))
self$add(jmvcore::Table$new(
options=options,
name="error",
title="Error variance",
visible="(error)",
rows=1,
clearWith=list(
"dep",
"id",
"facet"),
refs="gtheory",
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="D Study"),
list(
`name`="relative",
`title`="Relative",
`type`="number"),
list(
`name`="absolute",
`title`="Absolute",
`type`="number"))))}))
facetBase <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
"facetBase",
inherit = jmvcore::Analysis,
public = list(
initialize = function(options, data=NULL, datasetId="", analysisId="", revision=0) {
super$initialize(
package = "snowIRT",
name = "facet",
version = c(1,0,0),
options = options,
results = facetResults$new(options=options),
data = data,
datasetId = datasetId,
analysisId = analysisId,
revision = revision,
pause = NULL,
completeWhenFilled = FALSE,
requiresMissings = FALSE,
weightsSupport = 'auto')
}))
#' Many Facet Rasch Model
#'
#'
#' @param data .
#' @param dep .
#' @param id .
#' @param facet .
#' @param rm .
#' @param im .
#' @param inter .
#' @param raw .
#' @param sm .
#' @param ifit .
#' @param pm .
#' @param pfit .
#' @param plot1 .
#' @param width1 .
#' @param height1 .
#' @param plot2 .
#' @param width2 .
#' @param height2 .
#' @param plot3 .
#' @param width3 .
#' @param height3 .
#' @param angle .
#' @param plot4 .
#' @param width4 .
#' @param height4 .
#' @param plot5 .
#' @param num .
#' @param width5 .
#' @param height5 .
#' @param plot6 .
#' @param num1 .
#' @param width6 .
#' @param height6 .
#' @param plot7 .
#' @param width7 .
#' @param height7 .
#' @param angle1 .
#' @param plot8 .
#' @param width8 .
#' @param height8 .
#' @param g .
#' @param d .
#' @param formula .
#' @param mea .
#' @param error .
#' @return A results object containing:
#' \tabular{llllll}{
#' \code{results$instructions} \tab \tab \tab \tab \tab a html \cr
#' \code{results$text1} \tab \tab \tab \tab \tab a preformatted \cr
#' \code{results$text} \tab \tab \tab \tab \tab a preformatted \cr
#' \code{results$rm} \tab \tab \tab \tab \tab a table \cr
#' \code{results$im} \tab \tab \tab \tab \tab a table \cr
#' \code{results$sm} \tab \tab \tab \tab \tab a table \cr
#' \code{results$raw} \tab \tab \tab \tab \tab a table \cr
#' \code{results$inter} \tab \tab \tab \tab \tab a table \cr
#' \code{results$ifit} \tab \tab \tab \tab \tab a table \cr
#' \code{results$pm} \tab \tab \tab \tab \tab a table \cr
#' \code{results$pfit} \tab \tab \tab \tab \tab a table \cr
#' \code{results$plot1} \tab \tab \tab \tab \tab an image \cr
#' \code{results$plot2} \tab \tab \tab \tab \tab an image \cr
#' \code{results$plot3} \tab \tab \tab \tab \tab an image \cr
#' \code{results$plot7} \tab \tab \tab \tab \tab an image \cr
#' \code{results$plot8} \tab \tab \tab \tab \tab an image \cr
#' \code{results$plot4} \tab \tab \tab \tab \tab an image \cr
#' \code{results$plot5} \tab \tab \tab \tab \tab an image \cr
#' \code{results$plot6} \tab \tab \tab \tab \tab an image \cr
#' \code{results$g} \tab \tab \tab \tab \tab a table \cr
#' \code{results$d} \tab \tab \tab \tab \tab a table \cr
#' \code{results$mea} \tab \tab \tab \tab \tab a table \cr
#' \code{results$error} \tab \tab \tab \tab \tab a table \cr
#' }
#'
#' Tables can be converted to data frames with \code{asDF} or \code{\link{as.data.frame}}. For example:
#'
#' \code{results$rm$asDF}
#'
#' \code{as.data.frame(results$rm)}
#'
#' @export
facet <- function(
data,
dep,
id,
facet,
rm = FALSE,
im = FALSE,
inter = FALSE,
raw = FALSE,
sm = FALSE,
ifit = FALSE,
pm = FALSE,
pfit = FALSE,
plot1 = FALSE,
width1 = 500,
height1 = 500,
plot2 = FALSE,
width2 = 500,
height2 = 500,
plot3 = FALSE,
width3 = 500,
height3 = 500,
angle = 0,
plot4 = FALSE,
width4 = 500,
height4 = 500,
plot5 = FALSE,
num = 1,
width5 = 500,
height5 = 500,
plot6 = FALSE,
num1 = 1,
width6 = 500,
height6 = 500,
plot7 = FALSE,
width7 = 500,
height7 = 500,
angle1 = 0,
plot8 = FALSE,
width8 = 500,
height8 = 500,
g = FALSE,
d = FALSE,
formula = "value ~ (1 | subject) + (1 | task) + (1 | rater:task) + (1 | subject:task)",
mea = FALSE,
error = FALSE) {
if ( ! requireNamespace("jmvcore", quietly=TRUE))
stop("facet requires jmvcore to be installed (restart may be required)")
if ( ! missing(dep)) dep <- jmvcore::resolveQuo(jmvcore::enquo(dep))
if ( ! missing(id)) id <- jmvcore::resolveQuo(jmvcore::enquo(id))
if ( ! missing(facet)) facet <- jmvcore::resolveQuo(jmvcore::enquo(facet))
if (missing(data))
data <- jmvcore::marshalData(
parent.frame(),
`if`( ! missing(dep), dep, NULL),
`if`( ! missing(id), id, NULL),
`if`( ! missing(facet), facet, NULL))
for (v in id) if (v %in% names(data)) data[[v]] <- as.factor(data[[v]])
for (v in facet) if (v %in% names(data)) data[[v]] <- as.factor(data[[v]])
options <- facetOptions$new(
dep = dep,
id = id,
facet = facet,
rm = rm,
im = im,
inter = inter,
raw = raw,
sm = sm,
ifit = ifit,
pm = pm,
pfit = pfit,
plot1 = plot1,
width1 = width1,
height1 = height1,
plot2 = plot2,
width2 = width2,
height2 = height2,
plot3 = plot3,
width3 = width3,
height3 = height3,
angle = angle,
plot4 = plot4,
width4 = width4,
height4 = height4,
plot5 = plot5,
num = num,
width5 = width5,
height5 = height5,
plot6 = plot6,
num1 = num1,
width6 = width6,
height6 = height6,
plot7 = plot7,
width7 = width7,
height7 = height7,
angle1 = angle1,
plot8 = plot8,
width8 = width8,
height8 = height8,
g = g,
d = d,
formula = formula,
mea = mea,
error = error)
analysis <- facetClass$new(
options = options,
data = data)
analysis$run()
analysis$results
}
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