R/item.h.R
In hyunsooseol/snowIRT: Item Response Theory for jamovi
Defines functions
item
Documented in
item
# This file is automatically generated, you probably don't want to edit this
itemOptions <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
"itemOptions",
inherit = jmvcore::Options,
public = list(
initialize = function(
vars = NULL,
key = "D,C,A,D,D,A,D,B,D,A,A,D,C,C,B,C,D,A,A,B",
num = 1,
num1 = 1,
group = 3,
group1 = 3,
count = TRUE,
prop = FALSE,
sum = FALSE,
disc = FALSE,
sum1 = FALSE,
plot = FALSE,
angle = 90,
plot1 = FALSE,
disi = NULL,
plot2 = FALSE,
plot3 = FALSE,
width2 = 500,
height2 = 500,
width = 500,
height = 500,
width1 = 500,
height1 = 500,
width3 = 500,
height3 = 500, ...) {
super$initialize(
package="snowIRT",
name="item",
requiresData=TRUE,
...)
private$..vars <- jmvcore::OptionVariables$new(
"vars",
vars,
suggested=list(
"nominal"),
permitted=list(
"factor"))
private$..key <- jmvcore::OptionString$new(
"key",
key,
default="D,C,A,D,D,A,D,B,D,A,A,D,C,C,B,C,D,A,A,B")
private$..num <- jmvcore::OptionInteger$new(
"num",
num,
default=1,
min=1)
private$..num1 <- jmvcore::OptionInteger$new(
"num1",
num1,
default=1,
min=1)
private$..group <- jmvcore::OptionInteger$new(
"group",
group,
default=3,
min=2)
private$..group1 <- jmvcore::OptionInteger$new(
"group1",
group1,
default=3,
min=3)
private$..count <- jmvcore::OptionBool$new(
"count",
count,
default=TRUE)
private$..prop <- jmvcore::OptionBool$new(
"prop",
prop,
default=FALSE)
private$..sum <- jmvcore::OptionBool$new(
"sum",
sum,
default=FALSE)
private$..disc <- jmvcore::OptionBool$new(
"disc",
disc,
default=FALSE)
private$..sum1 <- jmvcore::OptionBool$new(
"sum1",
sum1,
default=FALSE)
private$..plot <- jmvcore::OptionBool$new(
"plot",
plot,
default=FALSE)
private$..angle <- jmvcore::OptionNumber$new(
"angle",
angle,
min=45,
max=90,
default=90)
private$..plot1 <- jmvcore::OptionBool$new(
"plot1",
plot1,
default=FALSE)
private$..disi <- jmvcore::OptionList$new(
"disi",
disi,
options=list(
"ULI",
"RIT",
"RIR"))
private$..plot2 <- jmvcore::OptionBool$new(
"plot2",
plot2,
default=FALSE)
private$..total <- jmvcore::OptionOutput$new(
"total")
private$..scoring <- jmvcore::OptionOutput$new(
"scoring")
private$..plot3 <- jmvcore::OptionBool$new(
"plot3",
plot3,
default=FALSE)
private$..width2 <- jmvcore::OptionInteger$new(
"width2",
width2,
default=500)
private$..height2 <- jmvcore::OptionInteger$new(
"height2",
height2,
default=500)
private$..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$new(
"height1",
height1,
default=500)
private$..width3 <- jmvcore::OptionInteger$new(
"width3",
width3,
default=500)
private$..height3 <- jmvcore::OptionInteger$new(
"height3",
height3,
default=500)
self$.addOption(private$..vars)
self$.addOption(private$..key)
self$.addOption(private$..num)
self$.addOption(private$..num1)
self$.addOption(private$..group)
self$.addOption(private$..group1)
self$.addOption(private$..count)
self$.addOption(private$..prop)
self$.addOption(private$..sum)
self$.addOption(private$..disc)
self$.addOption(private$..sum1)
self$.addOption(private$..plot)
self$.addOption(private$..angle)
self$.addOption(private$..plot1)
self$.addOption(private$..disi)
self$.addOption(private$..plot2)
self$.addOption(private$..total)
self$.addOption(private$..scoring)
self$.addOption(private$..plot3)
self$.addOption(private$..width2)
self$.addOption(private$..height2)
self$.addOption(private$..width)
self$.addOption(private$..height)
self$.addOption(private$..width1)
self$.addOption(private$..height1)
self$.addOption(private$..width3)
self$.addOption(private$..height3)
}),
active = list(
vars = function() private$..vars$value,
key = function() private$..key$value,
num = function() private$..num$value,
num1 = function() private$..num1$value,
group = function() private$..group$value,
group1 = function() private$..group1$value,
count = function() private$..count$value,
prop = function() private$..prop$value,
sum = function() private$..sum$value,
disc = function() private$..disc$value,
sum1 = function() private$..sum1$value,
plot = function() private$..plot$value,
angle = function() private$..angle$value,
plot1 = function() private$..plot1$value,
disi = function() private$..disi$value,
plot2 = function() private$..plot2$value,
total = function() private$..total$value,
scoring = function() private$..scoring$value,
plot3 = function() private$..plot3$value,
width2 = function() private$..width2$value,
height2 = function() private$..height2$value,
width = function() private$..width$value,
height = function() private$..height$value,
width1 = function() private$..width1$value,
height1 = function() private$..height1$value,
width3 = function() private$..width3$value,
height3 = function() private$..height3$value),
private = list(
..vars = NA,
..key = NA,
..num = NA,
..num1 = NA,
..group = NA,
..group1 = NA,
..count = NA,
..prop = NA,
..sum = NA,
..disc = NA,
..sum1 = NA,
..plot = NA,
..angle = NA,
..plot1 = NA,
..disi = NA,
..plot2 = NA,
..total = NA,
..scoring = NA,
..plot3 = NA,
..width2 = NA,
..height2 = NA,
..width = NA,
..height = NA,
..width1 = NA,
..height1 = NA,
..width3 = NA,
..height3 = NA)
)
itemResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
"itemResults",
inherit = jmvcore::Group,
active = list(
instructions = function() private$.items[["instructions"]],
text = function() private$.items[["text"]],
count = function() private$.items[["count"]],
prop = function() private$.items[["prop"]],
sum = function() private$.items[["sum"]],
disc = function() private$.items[["disc"]],
sum1 = function() private$.items[["sum1"]],
plot2 = function() private$.items[["plot2"]],
plot = function() private$.items[["plot"]],
plot1 = function() private$.items[["plot1"]],
total = function() private$.items[["total"]],
scoring = function() private$.items[["scoring"]],
plot3 = function() private$.items[["plot3"]]),
private = list(),
public=list(
initialize=function(options) {
super$initialize(
options=options,
name="",
title="Distractor analysis",
refs="snowIRT")
self$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::Array$new(
options=options,
name="count",
title="Counts of respondents",
visible="(count)",
refs="CTT",
items="(vars)",
template=jmvcore::Table$new(
options=options,
title="Item $key",
rows=0,
clearWith=list(
"vars",
"key"),
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"),
list(
`name`="lower",
`title`="lower",
`type`="integer"),
list(
`name`="middle",
`title`="middle",
`type`="integer"),
list(
`name`="upper",
`title`="upper",
`type`="integer")))))
self$add(jmvcore::Array$new(
options=options,
name="prop",
title="Proportions of respondents",
visible="(prop)",
refs="CTT",
items="(vars)",
template=jmvcore::Table$new(
options=options,
title="Item $key",
rows=0,
clearWith=list(
"vars",
"key"),
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"),
list(
`name`="lower",
`title`="Lower",
`type`="number"),
list(
`name`="middle",
`title`="Middle",
`type`="number"),
list(
`name`="upper",
`title`="Upper",
`type`="number")))))
self$add(jmvcore::Array$new(
options=options,
name="sum",
title="Item summary",
visible="(sum)",
refs="CTT",
items="(vars)",
template=jmvcore::Table$new(
options=options,
title="Item $key",
rows=0,
clearWith=list(
"vars",
"key"),
columns=list(
list(
`name`="correct",
`title`="Correct",
`type`="text",
`content`="($key)"),
list(
`name`="key",
`title`="Response",
`type`="text",
`content`="($key)"),
list(
`name`="n",
`title`="Frequency",
`type`="integer"),
list(
`name`="rspP",
`title`="Proportion",
`type`="number")))))
self$add(jmvcore::Table$new(
options=options,
name="disc",
title="Item difficulty and discrimination index",
visible="(disc)",
rows="(vars)",
clearWith=list(
"vars",
"key"),
refs="ShinyItemAnalysis",
columns=list(
list(
`name`="name",
`title`="Item",
`type`="text",
`content`="($key)"),
list(
`name`="dif",
`title`="Difficulty"),
list(
`name`="ULI",
`title`="ULI"),
list(
`name`="RIT",
`title`="RIT"),
list(
`name`="RIR",
`title`="RIR"))))
self$add(jmvcore::Array$new(
options=options,
name="sum1",
title="Total summary",
visible="(sum1)",
refs="CTT",
items="(vars)",
template=jmvcore::Table$new(
options=options,
title="Item $key",
clearWith=list(
"vars",
"key",
"group1"),
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)")))))
self$add(jmvcore::Image$new(
options=options,
name="plot2",
title="Histogram of total score",
requiresData=TRUE,
visible="(plot2)",
renderFun=".plot2",
refs="ShinyItemAnalysis",
clearWith=list(
"vars",
"key",
"width2",
"height2")))
self$add(jmvcore::Image$new(
options=options,
name="plot",
title="Distractor plot",
requiresData=TRUE,
visible="(plot)",
renderFun=".plot",
refs="ShinyItemAnalysis",
clearWith=list(
"vars",
"num",
"group",
"key",
"width",
"height")))
self$add(jmvcore::Image$new(
options=options,
name="plot1",
title="Discrimination plot",
visible="(plot1)",
renderFun=".plot1",
refs="ShinyItemAnalysis",
clearWith=list(
"vars",
"disi",
"angle",
"key",
"width1",
"height1")))
self$add(jmvcore::Output$new(
options=options,
name="total",
title="Total",
varTitle="Total",
measureType="continuous",
clearWith=list(
"vars",
"key")))
self$add(jmvcore::Output$new(
options=options,
name="scoring",
title="Scoring",
clearWith=list(
"vars",
"key")))
self$add(jmvcore::Image$new(
options=options,
name="plot3",
title="`Empirical Item Characteristic Curve: Item ${num1}`",
requiresData=TRUE,
visible="(plot3)",
renderFun=".plot3",
refs="CTT",
clearWith=list(
"vars",
"num1",
"key",
"width3",
"height3")))}))
itemBase <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
"itemBase",
inherit = jmvcore::Analysis,
public = list(
initialize = function(options, data=NULL, datasetId="", analysisId="", revision=0) {
super$initialize(
package = "snowIRT",
name = "item",
version = c(1,0,0),
options = options,
results = itemResults$new(options=options),
data = data,
datasetId = datasetId,
analysisId = analysisId,
revision = revision,
pause = NULL,
completeWhenFilled = FALSE,
requiresMissings = FALSE,
weightsSupport = 'none')
}))
#' Distractor analysis
#'
#'
#' @param data The data as a data frame.
#' @param vars .
#' @param key .
#' @param num .
#' @param num1 .
#' @param group .
#' @param group1 .
#' @param count .
#' @param prop .
#' @param sum .
#' @param disc .
#' @param sum1 .
#' @param plot .
#' @param angle .
#' @param plot1 .
#' @param disi .
#' @param plot2 .
#' @param plot3 .
#' @param width2 .
#' @param height2 .
#' @param width .
#' @param height .
#' @param width1 .
#' @param height1 .
#' @param width3 .
#' @param height3 .
#' @return A results object containing:
#' \tabular{llllll}{
#' \code{results$instructions} \tab \tab \tab \tab \tab a html \cr
#' \code{results$text} \tab \tab \tab \tab \tab a preformatted \cr
#' \code{results$count} \tab \tab \tab \tab \tab an array of tables \cr
#' \code{results$prop} \tab \tab \tab \tab \tab an array of tables \cr
#' \code{results$sum} \tab \tab \tab \tab \tab an array of tables \cr
#' \code{results$disc} \tab \tab \tab \tab \tab a table \cr
#' \code{results$sum1} \tab \tab \tab \tab \tab an array of tables \cr
#' \code{results$plot2} \tab \tab \tab \tab \tab an image \cr
#' \code{results$plot} \tab \tab \tab \tab \tab an image \cr
#' \code{results$plot1} \tab \tab \tab \tab \tab an image \cr
#' \code{results$total} \tab \tab \tab \tab \tab an output \cr
#' \code{results$scoring} \tab \tab \tab \tab \tab an output \cr
#' \code{results$plot3} \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$disc$asDF}
#'
#' \code{as.data.frame(results$disc)}
#'
#' @export
item <- function(
data,
vars,
key = "D,C,A,D,D,A,D,B,D,A,A,D,C,C,B,C,D,A,A,B",
num = 1,
num1 = 1,
group = 3,
group1 = 3,
count = TRUE,
prop = FALSE,
sum = FALSE,
disc = FALSE,
sum1 = FALSE,
plot = FALSE,
angle = 90,
plot1 = FALSE,
disi,
plot2 = FALSE,
plot3 = FALSE,
width2 = 500,
height2 = 500,
width = 500,
height = 500,
width1 = 500,
height1 = 500,
width3 = 500,
height3 = 500) {
if ( ! requireNamespace("jmvcore", quietly=TRUE))
stop("item requires jmvcore to be installed (restart may be required)")
if ( ! missing(vars)) vars <- jmvcore::resolveQuo(jmvcore::enquo(vars))
if (missing(data))
data <- jmvcore::marshalData(
parent.frame(),
`if`( ! missing(vars), vars, NULL))
for (v in vars) if (v %in% names(data)) data[[v]] <- as.factor(data[[v]])
options <- itemOptions$new(
vars = vars,
key = key,
num = num,
num1 = num1,
group = group,
group1 = group1,
count = count,
prop = prop,
sum = sum,
disc = disc,
sum1 = sum1,
plot = plot,
angle = angle,
plot1 = plot1,
disi = disi,
plot2 = plot2,
plot3 = plot3,
width2 = width2,
height2 = height2,
width = width,
height = height,
width1 = width1,
height1 = height1,
width3 = width3,
height3 = height3)
analysis <- itemClass$new(
options = options,
data = data)
analysis$run()
analysis$results
}
hyunsooseol/snowIRT documentation built on March 20, 2024, 8 p.m.
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Defines functions item
Documented in item
# This file is automatically generated, you probably don't want to edit this
itemOptions <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
"itemOptions",
inherit = jmvcore::Options,
public = list(
initialize = function(
vars = NULL,
key = "D,C,A,D,D,A,D,B,D,A,A,D,C,C,B,C,D,A,A,B",
num = 1,
num1 = 1,
group = 3,
group1 = 3,
count = TRUE,
prop = FALSE,
sum = FALSE,
disc = FALSE,
sum1 = FALSE,
plot = FALSE,
angle = 90,
plot1 = FALSE,
disi = NULL,
plot2 = FALSE,
plot3 = FALSE,
width2 = 500,
height2 = 500,
width = 500,
height = 500,
width1 = 500,
height1 = 500,
width3 = 500,
height3 = 500, ...) {
super$initialize(
package="snowIRT",
name="item",
requiresData=TRUE,
...)
private$..vars <- jmvcore::OptionVariables$new(
"vars",
vars,
suggested=list(
"nominal"),
permitted=list(
"factor"))
private$..key <- jmvcore::OptionString$new(
"key",
key,
default="D,C,A,D,D,A,D,B,D,A,A,D,C,C,B,C,D,A,A,B")
private$..num <- jmvcore::OptionInteger$new(
"num",
num,
default=1,
min=1)
private$..num1 <- jmvcore::OptionInteger$new(
"num1",
num1,
default=1,
min=1)
private$..group <- jmvcore::OptionInteger$new(
"group",
group,
default=3,
min=2)
private$..group1 <- jmvcore::OptionInteger$new(
"group1",
group1,
default=3,
min=3)
private$..count <- jmvcore::OptionBool$new(
"count",
count,
default=TRUE)
private$..prop <- jmvcore::OptionBool$new(
"prop",
prop,
default=FALSE)
private$..sum <- jmvcore::OptionBool$new(
"sum",
sum,
default=FALSE)
private$..disc <- jmvcore::OptionBool$new(
"disc",
disc,
default=FALSE)
private$..sum1 <- jmvcore::OptionBool$new(
"sum1",
sum1,
default=FALSE)
private$..plot <- jmvcore::OptionBool$new(
"plot",
plot,
default=FALSE)
private$..angle <- jmvcore::OptionNumber$new(
"angle",
angle,
min=45,
max=90,
default=90)
private$..plot1 <- jmvcore::OptionBool$new(
"plot1",
plot1,
default=FALSE)
private$..disi <- jmvcore::OptionList$new(
"disi",
disi,
options=list(
"ULI",
"RIT",
"RIR"))
private$..plot2 <- jmvcore::OptionBool$new(
"plot2",
plot2,
default=FALSE)
private$..total <- jmvcore::OptionOutput$new(
"total")
private$..scoring <- jmvcore::OptionOutput$new(
"scoring")
private$..plot3 <- jmvcore::OptionBool$new(
"plot3",
plot3,
default=FALSE)
private$..width2 <- jmvcore::OptionInteger$new(
"width2",
width2,
default=500)
private$..height2 <- jmvcore::OptionInteger$new(
"height2",
height2,
default=500)
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)
private$..width3 <- jmvcore::OptionInteger$new(
"width3",
width3,
default=500)
private$..height3 <- jmvcore::OptionInteger$new(
"height3",
height3,
default=500)
self$.addOption(private$..vars)
self$.addOption(private$..key)
self$.addOption(private$..num)
self$.addOption(private$..num1)
self$.addOption(private$..group)
self$.addOption(private$..group1)
self$.addOption(private$..count)
self$.addOption(private$..prop)
self$.addOption(private$..sum)
self$.addOption(private$..disc)
self$.addOption(private$..sum1)
self$.addOption(private$..plot)
self$.addOption(private$..angle)
self$.addOption(private$..plot1)
self$.addOption(private$..disi)
self$.addOption(private$..plot2)
self$.addOption(private$..total)
self$.addOption(private$..scoring)
self$.addOption(private$..plot3)
self$.addOption(private$..width2)
self$.addOption(private$..height2)
self$.addOption(private$..width)
self$.addOption(private$..height)
self$.addOption(private$..width1)
self$.addOption(private$..height1)
self$.addOption(private$..width3)
self$.addOption(private$..height3)
}),
active = list(
vars = function() private$..vars$value,
key = function() private$..key$value,
num = function() private$..num$value,
num1 = function() private$..num1$value,
group = function() private$..group$value,
group1 = function() private$..group1$value,
count = function() private$..count$value,
prop = function() private$..prop$value,
sum = function() private$..sum$value,
disc = function() private$..disc$value,
sum1 = function() private$..sum1$value,
plot = function() private$..plot$value,
angle = function() private$..angle$value,
plot1 = function() private$..plot1$value,
disi = function() private$..disi$value,
plot2 = function() private$..plot2$value,
total = function() private$..total$value,
scoring = function() private$..scoring$value,
plot3 = function() private$..plot3$value,
width2 = function() private$..width2$value,
height2 = function() private$..height2$value,
width = function() private$..width$value,
height = function() private$..height$value,
width1 = function() private$..width1$value,
height1 = function() private$..height1$value,
width3 = function() private$..width3$value,
height3 = function() private$..height3$value),
private = list(
..vars = NA,
..key = NA,
..num = NA,
..num1 = NA,
..group = NA,
..group1 = NA,
..count = NA,
..prop = NA,
..sum = NA,
..disc = NA,
..sum1 = NA,
..plot = NA,
..angle = NA,
..plot1 = NA,
..disi = NA,
..plot2 = NA,
..total = NA,
..scoring = NA,
..plot3 = NA,
..width2 = NA,
..height2 = NA,
..width = NA,
..height = NA,
..width1 = NA,
..height1 = NA,
..width3 = NA,
..height3 = NA)
)
itemResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
"itemResults",
inherit = jmvcore::Group,
active = list(
instructions = function() private$.items[["instructions"]],
text = function() private$.items[["text"]],
count = function() private$.items[["count"]],
prop = function() private$.items[["prop"]],
sum = function() private$.items[["sum"]],
disc = function() private$.items[["disc"]],
sum1 = function() private$.items[["sum1"]],
plot2 = function() private$.items[["plot2"]],
plot = function() private$.items[["plot"]],
plot1 = function() private$.items[["plot1"]],
total = function() private$.items[["total"]],
scoring = function() private$.items[["scoring"]],
plot3 = function() private$.items[["plot3"]]),
private = list(),
public=list(
initialize=function(options) {
super$initialize(
options=options,
name="",
title="Distractor analysis",
refs="snowIRT")
self$add(jmvcore::Html$new(
options=options,
name="instructions",
title="Instructions",
visible=TRUE))
self$add(jmvcore::Preformatted$new(
options=options,
name="text",
title=""))
self$add(jmvcore::Array$new(
options=options,
name="count",
title="Counts of respondents",
visible="(count)",
refs="CTT",
items="(vars)",
template=jmvcore::Table$new(
options=options,
title="Item $key",
rows=0,
clearWith=list(
"vars",
"key"),
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"),
list(
`name`="lower",
`title`="lower",
`type`="integer"),
list(
`name`="middle",
`title`="middle",
`type`="integer"),
list(
`name`="upper",
`title`="upper",
`type`="integer")))))
self$add(jmvcore::Array$new(
options=options,
name="prop",
title="Proportions of respondents",
visible="(prop)",
refs="CTT",
items="(vars)",
template=jmvcore::Table$new(
options=options,
title="Item $key",
rows=0,
clearWith=list(
"vars",
"key"),
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"),
list(
`name`="lower",
`title`="Lower",
`type`="number"),
list(
`name`="middle",
`title`="Middle",
`type`="number"),
list(
`name`="upper",
`title`="Upper",
`type`="number")))))
self$add(jmvcore::Array$new(
options=options,
name="sum",
title="Item summary",
visible="(sum)",
refs="CTT",
items="(vars)",
template=jmvcore::Table$new(
options=options,
title="Item $key",
rows=0,
clearWith=list(
"vars",
"key"),
columns=list(
list(
`name`="correct",
`title`="Correct",
`type`="text",
`content`="($key)"),
list(
`name`="key",
`title`="Response",
`type`="text",
`content`="($key)"),
list(
`name`="n",
`title`="Frequency",
`type`="integer"),
list(
`name`="rspP",
`title`="Proportion",
`type`="number")))))
self$add(jmvcore::Table$new(
options=options,
name="disc",
title="Item difficulty and discrimination index",
visible="(disc)",
rows="(vars)",
clearWith=list(
"vars",
"key"),
refs="ShinyItemAnalysis",
columns=list(
list(
`name`="name",
`title`="Item",
`type`="text",
`content`="($key)"),
list(
`name`="dif",
`title`="Difficulty"),
list(
`name`="ULI",
`title`="ULI"),
list(
`name`="RIT",
`title`="RIT"),
list(
`name`="RIR",
`title`="RIR"))))
self$add(jmvcore::Array$new(
options=options,
name="sum1",
title="Total summary",
visible="(sum1)",
refs="CTT",
items="(vars)",
template=jmvcore::Table$new(
options=options,
title="Item $key",
clearWith=list(
"vars",
"key",
"group1"),
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)")))))
self$add(jmvcore::Image$new(
options=options,
name="plot2",
title="Histogram of total score",
requiresData=TRUE,
visible="(plot2)",
renderFun=".plot2",
refs="ShinyItemAnalysis",
clearWith=list(
"vars",
"key",
"width2",
"height2")))
self$add(jmvcore::Image$new(
options=options,
name="plot",
title="Distractor plot",
requiresData=TRUE,
visible="(plot)",
renderFun=".plot",
refs="ShinyItemAnalysis",
clearWith=list(
"vars",
"num",
"group",
"key",
"width",
"height")))
self$add(jmvcore::Image$new(
options=options,
name="plot1",
title="Discrimination plot",
visible="(plot1)",
renderFun=".plot1",
refs="ShinyItemAnalysis",
clearWith=list(
"vars",
"disi",
"angle",
"key",
"width1",
"height1")))
self$add(jmvcore::Output$new(
options=options,
name="total",
title="Total",
varTitle="Total",
measureType="continuous",
clearWith=list(
"vars",
"key")))
self$add(jmvcore::Output$new(
options=options,
name="scoring",
title="Scoring",
clearWith=list(
"vars",
"key")))
self$add(jmvcore::Image$new(
options=options,
name="plot3",
title="`Empirical Item Characteristic Curve: Item ${num1}`",
requiresData=TRUE,
visible="(plot3)",
renderFun=".plot3",
refs="CTT",
clearWith=list(
"vars",
"num1",
"key",
"width3",
"height3")))}))
itemBase <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
"itemBase",
inherit = jmvcore::Analysis,
public = list(
initialize = function(options, data=NULL, datasetId="", analysisId="", revision=0) {
super$initialize(
package = "snowIRT",
name = "item",
version = c(1,0,0),
options = options,
results = itemResults$new(options=options),
data = data,
datasetId = datasetId,
analysisId = analysisId,
revision = revision,
pause = NULL,
completeWhenFilled = FALSE,
requiresMissings = FALSE,
weightsSupport = 'none')
}))
#' Distractor analysis
#'
#'
#' @param data The data as a data frame.
#' @param vars .
#' @param key .
#' @param num .
#' @param num1 .
#' @param group .
#' @param group1 .
#' @param count .
#' @param prop .
#' @param sum .
#' @param disc .
#' @param sum1 .
#' @param plot .
#' @param angle .
#' @param plot1 .
#' @param disi .
#' @param plot2 .
#' @param plot3 .
#' @param width2 .
#' @param height2 .
#' @param width .
#' @param height .
#' @param width1 .
#' @param height1 .
#' @param width3 .
#' @param height3 .
#' @return A results object containing:
#' \tabular{llllll}{
#' \code{results$instructions} \tab \tab \tab \tab \tab a html \cr
#' \code{results$text} \tab \tab \tab \tab \tab a preformatted \cr
#' \code{results$count} \tab \tab \tab \tab \tab an array of tables \cr
#' \code{results$prop} \tab \tab \tab \tab \tab an array of tables \cr
#' \code{results$sum} \tab \tab \tab \tab \tab an array of tables \cr
#' \code{results$disc} \tab \tab \tab \tab \tab a table \cr
#' \code{results$sum1} \tab \tab \tab \tab \tab an array of tables \cr
#' \code{results$plot2} \tab \tab \tab \tab \tab an image \cr
#' \code{results$plot} \tab \tab \tab \tab \tab an image \cr
#' \code{results$plot1} \tab \tab \tab \tab \tab an image \cr
#' \code{results$total} \tab \tab \tab \tab \tab an output \cr
#' \code{results$scoring} \tab \tab \tab \tab \tab an output \cr
#' \code{results$plot3} \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$disc$asDF}
#'
#' \code{as.data.frame(results$disc)}
#'
#' @export
item <- function(
data,
vars,
key = "D,C,A,D,D,A,D,B,D,A,A,D,C,C,B,C,D,A,A,B",
num = 1,
num1 = 1,
group = 3,
group1 = 3,
count = TRUE,
prop = FALSE,
sum = FALSE,
disc = FALSE,
sum1 = FALSE,
plot = FALSE,
angle = 90,
plot1 = FALSE,
disi,
plot2 = FALSE,
plot3 = FALSE,
width2 = 500,
height2 = 500,
width = 500,
height = 500,
width1 = 500,
height1 = 500,
width3 = 500,
height3 = 500) {
if ( ! requireNamespace("jmvcore", quietly=TRUE))
stop("item requires jmvcore to be installed (restart may be required)")
if ( ! missing(vars)) vars <- jmvcore::resolveQuo(jmvcore::enquo(vars))
if (missing(data))
data <- jmvcore::marshalData(
parent.frame(),
`if`( ! missing(vars), vars, NULL))
for (v in vars) if (v %in% names(data)) data[[v]] <- as.factor(data[[v]])
options <- itemOptions$new(
vars = vars,
key = key,
num = num,
num1 = num1,
group = group,
group1 = group1,
count = count,
prop = prop,
sum = sum,
disc = disc,
sum1 = sum1,
plot = plot,
angle = angle,
plot1 = plot1,
disi = disi,
plot2 = plot2,
plot3 = plot3,
width2 = width2,
height2 = height2,
width = width,
height = height,
width1 = width1,
height1 = height1,
width3 = width3,
height3 = height3)
analysis <- itemClass$new(
options = options,
data = data)
analysis$run()
analysis$results
}
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