# from https://github.com/ClinicoPath/PUBH5018-jamovi
checkdataClass <- if (requireNamespace('jmvcore')) R6::R6Class(
"checkdataClass",
inherit = checkdataBase,
private = list(
.run = function() {
# `self$data` contains the data
# `self$options` contains the options
# `self$results` contains the results object (to populate)
variable <- self$options$dep
if (is.null(variable)) return()
variable <- self$data[,variable]
variable <- data.frame(variable=variable,nms = 1:length(variable))
n <- 5
# if(class(variable)!= "variable") stop("variable must be numeric")
# else {
variable <- variable[which(!is.na(variable$variable)),]
variable <- variable[order(variable$variable),]
x <- data.frame(head(variable$variable,n), head(variable$nms,n)
,tail(variable$variable,n), tail(variable$nms,n))
names(x) <- c("Min values", "Min row number", "Max values", "Max row number")
# }
minTable <- self$results$minvals
for (i in 1:n){
minTable$setRow(rowNo=i, values=list(
minRowNumber=x[i,2]
,minvalues=x[i,1]))
}
maxTable <- self$results$maxvals
for (i in 1:n){
maxTable$setRow(rowNo=i, values=list(
maxRowNumber=x[i,4]
,maxvalues=x[i,3]))
}
variable <- self$options$dep
variable <- self$data[,variable]
if (sum(is.na(variable))==0) {
self$results$missingvals$setContent("No missing values")
} else {
message <- paste(sum(is.na(variable))
, "missing values in rows: "
, paste(which(is.na(variable))
, collapse=", "))
self$results$missingvals$setContent(message)
}
})
)
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