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## Check input data and return a valid matrix object
##
.check_input_data_matrix <- function(x , y , na.rm){
if(is.null(y)){
if(!is.array(x) & !is.data.frame(x) & !is.matrix(x)){
stop('"x" must be a numeric matrix or any other array-type object that can be converted or a "matrix" object with with ncol>=2.\n\n')
}
if(is.vector(x)){
stop('"x" must be a numeric matrix or any other array-type object that can be converted or a "matrix" object. with with ncol>=2.\n\n')
}
if(!is.matrix(x)){
x <- data.matrix(x)
}
if( !is.numeric(x) ){
stop('"x" must be numeric.')
}
if(nrow(x)<2 | ncol(x)<2){
stop('nrow(x)>=2 and ncol(xa)>=2 are required\n\n')
}
is_na_data <- is.na(x)
if(any(is_na_data)){
if(na.rm==FALSE){
stop('"x" contains NA records. You may want to filter NAs by setting "na.rm=TRUE" (see documentation for more details).\n\n')
}else{
idx_na <- which( rowSums(is_na_data) >=1 )
x <- x[-idx_na , , drop = FALSE]
if(nrow(x)<2){
stop('nrow(x)<2 after NA removal.\n\n')
}
}
}
if(any(!is.finite(x))){
stop('"x" contains Inf values\n\n')
}
}else{
if(!is.vector(x) | !is.vector(y)){
stop('If "y" is given, "x" and "y" must be both numeric.\n\n')
}
if(!is.numeric(x) | !is.numeric(y)){
stop('"x" and "y" must be numeric.\n\n')
}
if(length(x) != length(y)){
stop('"x" and "y" have different length.\n\n')
}
x <- cbind( x , y , deparse.level = 0)
is_na_data <- is.na(x)
if(any(is_na_data)){
if(na.rm==FALSE){
stop('"x" or "y" contains NA records. You may want to filter NAs by setting "na.rm=TRUE" (see documentation for more details).\n\n')
}else{
idx_na <- which( rowSums(is_na_data) >=1 )
x <- x[-idx_na , , drop = FALSE]
if(nrow(x)<2){
stop('length(x)<2 and/or length(y)<2 after NA removal.\n\n')
}
}
}
if(any(!is.finite(x))){
stop('"x" and/or "y" contains Inf values\n\n')
}
}
return(x)
} ### END function
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