Nothing
#' Do some preliminary checks on the data.
#' @keywords internal
setupPrelimDataChecks <- function(df){
data <- lapply(df, function(dfi){
first <- dfi[1:(nrow(dfi)-1), ]
second <- dfi[2:(nrow(dfi) ), ]
data <- data.frame(first, second)
colnames(data) <- c(paste0(colnames(dfi), "lag"), colnames(dfi))
data
})
# satisfy CRAN checks
ts_list = NULL
ind = NULL
n_subjects <- length(data)
cols <- numeric()
missingCols <- numeric()
constantCols <- logical()
numericCols <- logical()
# check for obvious errors in data
for (k in 1:length(data)){
data.file <- data[[k]]
cols[k] <- ncol(data.file)
missingCols[k] <- sum(colSums(is.na(data.file)) < nrow(data.file))
constantCols[k] <- any(apply(data.file, 2, sd, na.rm = TRUE) == 0)
numericCols[k] <- any(apply(data.file, 2, is.numeric) == FALSE)
}
if (n_subjects != 1) {
if (sd(missingCols) != 0) {
stop(paste0('gimme ERROR: at least one data file contains a column with all NA. ',
'Please fix or remove files listed below before continuing. \n',
paste0(names(ts_list)[missingCols != cols], collapse = "\n")))
}
if (any(cols != missingCols)) {
stop(paste0('gimme ERROR: at least one data file contains a column with all NA. ',
'Please fix or remove file before continuing.'))
}
if (any(constantCols == TRUE)){
stop(paste0('gimme ERROR: at least one data file contains a column with constant values. ',
'Please fix or remove files listed below before continuing. \n',
paste0(names(ts_list)[constantCols == TRUE], collapse = "\n")))
}
if (any(numericCols == TRUE)){
stop(paste0('gimme ERROR: at least one data file contains a column with non-numeric values. ',
'Please fix or remove files listed below before continuing. \n',
paste0(names(ts_list)[numericCols == TRUE], collapse = "\n")))
}
}
return(df)
}
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