R/mixture.h.R
In hyunsooseol/RMM: Rasch Mixture Model
Defines functions
mixture
Documented in
mixture
# This file is automatically generated, you probably don't want to edit this
mixtureOptions <- if (requireNamespace('jmvcore')) R6::R6Class(
"mixtureOptions",
inherit = jmvcore::Options,
public = list(
initialize = function(
vars = NULL,
nc = 1,
step = 1,
type = "rating",
aic = TRUE,
bic = TRUE,
caic = FALSE,
imean = TRUE,
imeasure = FALSE,
ise = FALSE,
infit = FALSE,
outfit = FALSE,
pbis = FALSE,
bfit = FALSE,
average = FALSE,
pclass = FALSE,
iplot = FALSE, ...) {
super$initialize(
package='RMM',
name='mixture',
requiresData=TRUE,
...)
private$..vars <- jmvcore::OptionVariables$new(
"vars",
vars,
suggested=list(
"continuous"),
permitted=list(
"numeric"))
private$..nc <- jmvcore::OptionInteger$new(
"nc",
nc,
min=1,
default=1)
private$..step <- jmvcore::OptionInteger$new(
"step",
step,
min=1,
default=1)
private$..type <- jmvcore::OptionList$new(
"type",
type,
options=list(
"rating",
"partial"),
default="rating")
private$..aic <- jmvcore::OptionBool$new(
"aic",
aic,
default=TRUE)
private$..bic <- jmvcore::OptionBool$new(
"bic",
bic,
default=TRUE)
private$..caic <- jmvcore::OptionBool$new(
"caic",
caic,
default=FALSE)
private$..imean <- jmvcore::OptionBool$new(
"imean",
imean,
default=TRUE)
private$..imeasure <- jmvcore::OptionBool$new(
"imeasure",
imeasure,
default=FALSE)
private$..ise <- jmvcore::OptionBool$new(
"ise",
ise,
default=FALSE)
private$..infit <- jmvcore::OptionBool$new(
"infit",
infit,
default=FALSE)
private$..outfit <- jmvcore::OptionBool$new(
"outfit",
outfit,
default=FALSE)
private$..pbis <- jmvcore::OptionBool$new(
"pbis",
pbis,
default=FALSE)
private$..bfit <- jmvcore::OptionBool$new(
"bfit",
bfit,
default=FALSE)
private$..average <- jmvcore::OptionBool$new(
"average",
average,
default=FALSE)
private$..pclass <- jmvcore::OptionBool$new(
"pclass",
pclass,
default=FALSE)
private$..iplot <- jmvcore::OptionBool$new(
"iplot",
iplot,
default=FALSE)
self$.addOption(private$..vars)
self$.addOption(private$..nc)
self$.addOption(private$..step)
self$.addOption(private$..type)
self$.addOption(private$..aic)
self$.addOption(private$..bic)
self$.addOption(private$..caic)
self$.addOption(private$..imean)
self$.addOption(private$..imeasure)
self$.addOption(private$..ise)
self$.addOption(private$..infit)
self$.addOption(private$..outfit)
self$.addOption(private$..pbis)
self$.addOption(private$..bfit)
self$.addOption(private$..average)
self$.addOption(private$..pclass)
self$.addOption(private$..iplot)
}),
active = list(
vars = function() private$..vars$value,
nc = function() private$..nc$value,
step = function() private$..step$value,
type = function() private$..type$value,
aic = function() private$..aic$value,
bic = function() private$..bic$value,
caic = function() private$..caic$value,
imean = function() private$..imean$value,
imeasure = function() private$..imeasure$value,
ise = function() private$..ise$value,
infit = function() private$..infit$value,
outfit = function() private$..outfit$value,
pbis = function() private$..pbis$value,
bfit = function() private$..bfit$value,
average = function() private$..average$value,
pclass = function() private$..pclass$value,
iplot = function() private$..iplot$value),
private = list(
..vars = NA,
..nc = NA,
..step = NA,
..type = NA,
..aic = NA,
..bic = NA,
..caic = NA,
..imean = NA,
..imeasure = NA,
..ise = NA,
..infit = NA,
..outfit = NA,
..pbis = NA,
..bfit = NA,
..average = NA,
..pclass = NA,
..iplot = NA)
)
mixtureResults <- if (requireNamespace('jmvcore')) R6::R6Class(
inherit = jmvcore::Group,
active = list(
instructions = function() private$.items[["instructions"]],
item = function() private$.items[["item"]],
person = function() private$.items[["person"]],
iplot = function() private$.items[["iplot"]]),
private = list(),
public=list(
initialize=function(options) {
super$initialize(
options=options,
name="",
title="Rasch Mixture Model")
self$add(jmvcore::Html$new(
options=options,
name="instructions",
title="Instructions",
visible=TRUE,
refs="RMM"))
self$add(R6::R6Class(
inherit = jmvcore::Group,
active = list(
model = function() private$.items[["model"]],
items = function() private$.items[["items"]],
bfit = function() private$.items[["bfit"]]),
private = list(),
public=list(
initialize=function(options) {
super$initialize(
options=options,
name="item",
title="Item Analysis")
self$add(jmvcore::Table$new(
options=options,
name="model",
title="Model Information",
rows=1,
clearWith=list(
"vars"),
refs="mixRasch",
columns=list(
list(
`name`="class",
`title`="Class",
`visible`="(class)"),
list(
`name`="aic",
`title`="AIC",
`visible`="(aic)"),
list(
`name`="bic",
`title`="BIC",
`visible`="(bic)"),
list(
`name`="caic",
`title`="CAIC",
`visible`="(caic)"))))
self$add(jmvcore::Table$new(
options=options,
name="items",
title="Item Statistics",
visible="(imean || imeasure || ise || infit || outfit || pbis)",
rows="(vars)",
clearWith=list(
"vars"),
refs="mixRasch",
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"),
list(
`name`="imean",
`title`="Item mean",
`visible`="(imean)"),
list(
`name`="imeasure",
`title`="Measure",
`visible`="(imeasure)"),
list(
`name`="ise",
`title`="S.E.Measure",
`visible`="(ise)"),
list(
`name`="infit",
`title`="Infit",
`visible`="(infit)"),
list(
`name`="outfit",
`title`="Outfit",
`visible`="(outfit)"),
list(
`name`="pbis",
`title`="Point biserial",
`visible`="(pbis)"))))
self$add(jmvcore::Table$new(
options=options,
name="bfit",
title="Bootstrap item fit",
visible="(bfit)",
rows=1,
clearWith=list(
"vars"),
columns=list(
list(
`name`="binfit[in]",
`title`="",
`type`="text",
`content`="Infit"),
list(
`name`="binfit[out]",
`title`="",
`type`="text",
`content`="Outfit"),
list(
`name`="l[infit]",
`title`="Lower",
`type`="number",
`superTitle`="95% CI"),
list(
`name`="u[infit]",
`title`="Upper",
`type`="number",
`superTitle`="95% CI"),
list(
`name`="l[outfit]",
`title`="Lower",
`type`="number",
`superTitle`="95% CI"),
list(
`name`="u[outfit]",
`title`="Upper",
`type`="number",
`superTitle`="95% CI"))))}))$new(options=options))
self$add(R6::R6Class(
inherit = jmvcore::Group,
active = list(
average = function() private$.items[["average"]],
pclass = function() private$.items[["pclass"]]),
private = list(),
public=list(
initialize=function(options) {
super$initialize(
options=options,
name="person",
title="Person Analysis")
self$add(jmvcore::Table$new(
options=options,
name="average",
title="Mean ability level for each class",
visible="(average)",
rows="(nc)",
clearWith=list(
"vars"),
columns=list(
list(
`name`="class",
`title`="Class",
`content`="($key)"),
list(
`name`="value",
`title`="Theta",
`type`="number"))))
self$add(jmvcore::Table$new(
options=options,
name="pclass",
title="Person membership",
visible="(pclass)",
clearWith=list(
"vars"),
refs="mixRasch",
columns=list(
list(
`name`="name",
`title`="Person number",
`type`="text",
`content`="($key)"),
list(
`name`="pc1",
`title`="1",
`type`="number",
`superTitle`="Class"))))}))$new(options=options))
self$add(jmvcore::Image$new(
options=options,
name="iplot",
title="Item Plot",
visible="(iplot)",
width=700,
height=500,
renderFun=".itemPlot",
refs="mixRaschTools"))}))
mixtureBase <- if (requireNamespace('jmvcore')) R6::R6Class(
"mixtureBase",
inherit = jmvcore::Analysis,
public = list(
initialize = function(options, data=NULL, datasetId="", analysisId="", revision=0) {
super$initialize(
package = 'RMM',
name = 'mixture',
version = c(1,0,0),
options = options,
results = mixtureResults$new(options=options),
data = data,
datasetId = datasetId,
analysisId = analysisId,
revision = revision,
pause = NULL,
completeWhenFilled = FALSE,
requiresMissings = FALSE)
}))
#' Rasch Mixture Model
#'
#'
#' @param data The data as a data frame.
#' @param vars .
#' @param nc .
#' @param step .
#' @param type .
#' @param aic .
#' @param bic .
#' @param caic .
#' @param imean .
#' @param imeasure .
#' @param ise .
#' @param infit .
#' @param outfit .
#' @param pbis .
#' @param bfit .
#' @param average .
#' @param pclass .
#' @param iplot .
#' @return A results object containing:
#' \tabular{llllll}{
#' \code{results$instructions} \tab \tab \tab \tab \tab a html \cr
#' \code{results$item$model} \tab \tab \tab \tab \tab a table \cr
#' \code{results$item$items} \tab \tab \tab \tab \tab a table \cr
#' \code{results$item$bfit} \tab \tab \tab \tab \tab a table \cr
#' \code{results$person$average} \tab \tab \tab \tab \tab a table \cr
#' \code{results$person$pclass} \tab \tab \tab \tab \tab a table \cr
#' \code{results$iplot} \tab \tab \tab \tab \tab an image \cr
#' }
#'
#' @export
mixture <- function(
data,
vars,
nc = 1,
step = 1,
type = "rating",
aic = TRUE,
bic = TRUE,
caic = FALSE,
imean = TRUE,
imeasure = FALSE,
ise = FALSE,
infit = FALSE,
outfit = FALSE,
pbis = FALSE,
bfit = FALSE,
average = FALSE,
pclass = FALSE,
iplot = FALSE) {
if ( ! requireNamespace('jmvcore'))
stop('mixture 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 <- mixtureOptions$new(
vars = vars,
nc = nc,
step = step,
type = type,
aic = aic,
bic = bic,
caic = caic,
imean = imean,
imeasure = imeasure,
ise = ise,
infit = infit,
outfit = outfit,
pbis = pbis,
bfit = bfit,
average = average,
pclass = pclass,
iplot = iplot)
analysis <- mixtureClass$new(
options = options,
data = data)
analysis$run()
analysis$results
}
hyunsooseol/RMM documentation built on Aug. 8, 2020, 12:36 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Defines functions mixture
Documented in mixture
# This file is automatically generated, you probably don't want to edit this
mixtureOptions <- if (requireNamespace('jmvcore')) R6::R6Class(
"mixtureOptions",
inherit = jmvcore::Options,
public = list(
initialize = function(
vars = NULL,
nc = 1,
step = 1,
type = "rating",
aic = TRUE,
bic = TRUE,
caic = FALSE,
imean = TRUE,
imeasure = FALSE,
ise = FALSE,
infit = FALSE,
outfit = FALSE,
pbis = FALSE,
bfit = FALSE,
average = FALSE,
pclass = FALSE,
iplot = FALSE, ...) {
super$initialize(
package='RMM',
name='mixture',
requiresData=TRUE,
...)
private$..vars <- jmvcore::OptionVariables$new(
"vars",
vars,
suggested=list(
"continuous"),
permitted=list(
"numeric"))
private$..nc <- jmvcore::OptionInteger$new(
"nc",
nc,
min=1,
default=1)
private$..step <- jmvcore::OptionInteger$new(
"step",
step,
min=1,
default=1)
private$..type <- jmvcore::OptionList$new(
"type",
type,
options=list(
"rating",
"partial"),
default="rating")
private$..aic <- jmvcore::OptionBool$new(
"aic",
aic,
default=TRUE)
private$..bic <- jmvcore::OptionBool$new(
"bic",
bic,
default=TRUE)
private$..caic <- jmvcore::OptionBool$new(
"caic",
caic,
default=FALSE)
private$..imean <- jmvcore::OptionBool$new(
"imean",
imean,
default=TRUE)
private$..imeasure <- jmvcore::OptionBool$new(
"imeasure",
imeasure,
default=FALSE)
private$..ise <- jmvcore::OptionBool$new(
"ise",
ise,
default=FALSE)
private$..infit <- jmvcore::OptionBool$new(
"infit",
infit,
default=FALSE)
private$..outfit <- jmvcore::OptionBool$new(
"outfit",
outfit,
default=FALSE)
private$..pbis <- jmvcore::OptionBool$new(
"pbis",
pbis,
default=FALSE)
private$..bfit <- jmvcore::OptionBool$new(
"bfit",
bfit,
default=FALSE)
private$..average <- jmvcore::OptionBool$new(
"average",
average,
default=FALSE)
private$..pclass <- jmvcore::OptionBool$new(
"pclass",
pclass,
default=FALSE)
private$..iplot <- jmvcore::OptionBool$new(
"iplot",
iplot,
default=FALSE)
self$.addOption(private$..vars)
self$.addOption(private$..nc)
self$.addOption(private$..step)
self$.addOption(private$..type)
self$.addOption(private$..aic)
self$.addOption(private$..bic)
self$.addOption(private$..caic)
self$.addOption(private$..imean)
self$.addOption(private$..imeasure)
self$.addOption(private$..ise)
self$.addOption(private$..infit)
self$.addOption(private$..outfit)
self$.addOption(private$..pbis)
self$.addOption(private$..bfit)
self$.addOption(private$..average)
self$.addOption(private$..pclass)
self$.addOption(private$..iplot)
}),
active = list(
vars = function() private$..vars$value,
nc = function() private$..nc$value,
step = function() private$..step$value,
type = function() private$..type$value,
aic = function() private$..aic$value,
bic = function() private$..bic$value,
caic = function() private$..caic$value,
imean = function() private$..imean$value,
imeasure = function() private$..imeasure$value,
ise = function() private$..ise$value,
infit = function() private$..infit$value,
outfit = function() private$..outfit$value,
pbis = function() private$..pbis$value,
bfit = function() private$..bfit$value,
average = function() private$..average$value,
pclass = function() private$..pclass$value,
iplot = function() private$..iplot$value),
private = list(
..vars = NA,
..nc = NA,
..step = NA,
..type = NA,
..aic = NA,
..bic = NA,
..caic = NA,
..imean = NA,
..imeasure = NA,
..ise = NA,
..infit = NA,
..outfit = NA,
..pbis = NA,
..bfit = NA,
..average = NA,
..pclass = NA,
..iplot = NA)
)
mixtureResults <- if (requireNamespace('jmvcore')) R6::R6Class(
inherit = jmvcore::Group,
active = list(
instructions = function() private$.items[["instructions"]],
item = function() private$.items[["item"]],
person = function() private$.items[["person"]],
iplot = function() private$.items[["iplot"]]),
private = list(),
public=list(
initialize=function(options) {
super$initialize(
options=options,
name="",
title="Rasch Mixture Model")
self$add(jmvcore::Html$new(
options=options,
name="instructions",
title="Instructions",
visible=TRUE,
refs="RMM"))
self$add(R6::R6Class(
inherit = jmvcore::Group,
active = list(
model = function() private$.items[["model"]],
items = function() private$.items[["items"]],
bfit = function() private$.items[["bfit"]]),
private = list(),
public=list(
initialize=function(options) {
super$initialize(
options=options,
name="item",
title="Item Analysis")
self$add(jmvcore::Table$new(
options=options,
name="model",
title="Model Information",
rows=1,
clearWith=list(
"vars"),
refs="mixRasch",
columns=list(
list(
`name`="class",
`title`="Class",
`visible`="(class)"),
list(
`name`="aic",
`title`="AIC",
`visible`="(aic)"),
list(
`name`="bic",
`title`="BIC",
`visible`="(bic)"),
list(
`name`="caic",
`title`="CAIC",
`visible`="(caic)"))))
self$add(jmvcore::Table$new(
options=options,
name="items",
title="Item Statistics",
visible="(imean || imeasure || ise || infit || outfit || pbis)",
rows="(vars)",
clearWith=list(
"vars"),
refs="mixRasch",
columns=list(
list(
`name`="name",
`title`="",
`type`="text",
`content`="($key)"),
list(
`name`="imean",
`title`="Item mean",
`visible`="(imean)"),
list(
`name`="imeasure",
`title`="Measure",
`visible`="(imeasure)"),
list(
`name`="ise",
`title`="S.E.Measure",
`visible`="(ise)"),
list(
`name`="infit",
`title`="Infit",
`visible`="(infit)"),
list(
`name`="outfit",
`title`="Outfit",
`visible`="(outfit)"),
list(
`name`="pbis",
`title`="Point biserial",
`visible`="(pbis)"))))
self$add(jmvcore::Table$new(
options=options,
name="bfit",
title="Bootstrap item fit",
visible="(bfit)",
rows=1,
clearWith=list(
"vars"),
columns=list(
list(
`name`="binfit[in]",
`title`="",
`type`="text",
`content`="Infit"),
list(
`name`="binfit[out]",
`title`="",
`type`="text",
`content`="Outfit"),
list(
`name`="l[infit]",
`title`="Lower",
`type`="number",
`superTitle`="95% CI"),
list(
`name`="u[infit]",
`title`="Upper",
`type`="number",
`superTitle`="95% CI"),
list(
`name`="l[outfit]",
`title`="Lower",
`type`="number",
`superTitle`="95% CI"),
list(
`name`="u[outfit]",
`title`="Upper",
`type`="number",
`superTitle`="95% CI"))))}))$new(options=options))
self$add(R6::R6Class(
inherit = jmvcore::Group,
active = list(
average = function() private$.items[["average"]],
pclass = function() private$.items[["pclass"]]),
private = list(),
public=list(
initialize=function(options) {
super$initialize(
options=options,
name="person",
title="Person Analysis")
self$add(jmvcore::Table$new(
options=options,
name="average",
title="Mean ability level for each class",
visible="(average)",
rows="(nc)",
clearWith=list(
"vars"),
columns=list(
list(
`name`="class",
`title`="Class",
`content`="($key)"),
list(
`name`="value",
`title`="Theta",
`type`="number"))))
self$add(jmvcore::Table$new(
options=options,
name="pclass",
title="Person membership",
visible="(pclass)",
clearWith=list(
"vars"),
refs="mixRasch",
columns=list(
list(
`name`="name",
`title`="Person number",
`type`="text",
`content`="($key)"),
list(
`name`="pc1",
`title`="1",
`type`="number",
`superTitle`="Class"))))}))$new(options=options))
self$add(jmvcore::Image$new(
options=options,
name="iplot",
title="Item Plot",
visible="(iplot)",
width=700,
height=500,
renderFun=".itemPlot",
refs="mixRaschTools"))}))
mixtureBase <- if (requireNamespace('jmvcore')) R6::R6Class(
"mixtureBase",
inherit = jmvcore::Analysis,
public = list(
initialize = function(options, data=NULL, datasetId="", analysisId="", revision=0) {
super$initialize(
package = 'RMM',
name = 'mixture',
version = c(1,0,0),
options = options,
results = mixtureResults$new(options=options),
data = data,
datasetId = datasetId,
analysisId = analysisId,
revision = revision,
pause = NULL,
completeWhenFilled = FALSE,
requiresMissings = FALSE)
}))
#' Rasch Mixture Model
#'
#'
#' @param data The data as a data frame.
#' @param vars .
#' @param nc .
#' @param step .
#' @param type .
#' @param aic .
#' @param bic .
#' @param caic .
#' @param imean .
#' @param imeasure .
#' @param ise .
#' @param infit .
#' @param outfit .
#' @param pbis .
#' @param bfit .
#' @param average .
#' @param pclass .
#' @param iplot .
#' @return A results object containing:
#' \tabular{llllll}{
#' \code{results$instructions} \tab \tab \tab \tab \tab a html \cr
#' \code{results$item$model} \tab \tab \tab \tab \tab a table \cr
#' \code{results$item$items} \tab \tab \tab \tab \tab a table \cr
#' \code{results$item$bfit} \tab \tab \tab \tab \tab a table \cr
#' \code{results$person$average} \tab \tab \tab \tab \tab a table \cr
#' \code{results$person$pclass} \tab \tab \tab \tab \tab a table \cr
#' \code{results$iplot} \tab \tab \tab \tab \tab an image \cr
#' }
#'
#' @export
mixture <- function(
data,
vars,
nc = 1,
step = 1,
type = "rating",
aic = TRUE,
bic = TRUE,
caic = FALSE,
imean = TRUE,
imeasure = FALSE,
ise = FALSE,
infit = FALSE,
outfit = FALSE,
pbis = FALSE,
bfit = FALSE,
average = FALSE,
pclass = FALSE,
iplot = FALSE) {
if ( ! requireNamespace('jmvcore'))
stop('mixture 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 <- mixtureOptions$new(
vars = vars,
nc = nc,
step = step,
type = type,
aic = aic,
bic = bic,
caic = caic,
imean = imean,
imeasure = imeasure,
ise = ise,
infit = infit,
outfit = outfit,
pbis = pbis,
bfit = bfit,
average = average,
pclass = pclass,
iplot = iplot)
analysis <- mixtureClass$new(
options = options,
data = data)
analysis$run()
analysis$results
}
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