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## several checks for input data of the imputeSOM and map functions
check.data <- function(data) {
## Check whether data is a matrix or data frame
if (!is.matrix(data) & !is.data.frame(data))
stop("Argument 'data' should be a matrix or data frame")
## Check whether data is numeric
if (!all(sapply(data, is.numeric)))
stop("Argument data should be numeric")
## Convert data frame to matrix
data <- as.matrix(data)
data
}
## Objective: identify columns with too many NA values
## Check for empty columns in the data
check.empty.columns <- function(data, maxNA.fraction) {
nacolumns <- which(apply(data, 2, function(j) sum(is.na(j)) / length(j)) >= maxNA.fraction)
nacolumns
}
remove.data.na <- function(data, nacolumns) {
if (length(nacolumns) > 0)
data <- data[, -nacolumns]
## check to see if there are empty data
## because of the maxNA.fraction
if (is.null(ncol(data)))
stop("Empty data layer - check maxNA.fraction argument")
data
}
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