add informative error message for strictly-negative values in rarefyA…

…ssay (microbiome#563)

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: mia
 Type: Package
-Version: 1.13.19
+Version: 1.13.20
 Authors@R:
     c(person(given = "Felix G.M.", family = "Ernst", role = c("aut"),
              email = "[email protected]",

NEWS

@@ -136,3 +136,4 @@ Changes in version 1.13.x
 + Fix bug in mergeFeaturesByPrevalence
 + new aliases calculateDPCoA to getDPCoA, calculateNMDS to getNMDS, calculateRDA to getRDA, 
 calculateCCA to getCCA
++ add informative error message in rarefyAssay on assays with strictly-negative values 

R/rarefyAssay.R

@@ -106,40 +106,47 @@ setMethod("rarefyAssay", signature = c(x = "SummarizedExperiment"),
               .check_assay_present(assay.type, x)
               if(any(assay(x, assay.type) %% 1 != 0)){
                   warning("assay contains non-integer values. Only counts table ",
-                          "is applicable...")
+                          "is applicable...", call. = FALSE)
+              }
+              if(any(assay(x, assay.type) < 0)){
+                  stop("assay contains strictly-negative values. Only counts ",
+                      "table is applicable...", call. = FALSE)
               }
               if(!is.logical(verbose)){
-                  stop("`verbose` has to be logical i.e. TRUE or FALSE")
+                  stop("`verbose` has to be logical i.e. TRUE or FALSE", 
+                      call. = FALSE)
               }
 
               if(!is.logical(replace)){
-                  stop("`replace` has to be logical i.e. TRUE or FALSE")
+                  stop("`replace` has to be logical i.e. TRUE or FALSE",
+                      call. = FALSE)
               } 
               # Check name
               if(!.is_non_empty_string(name) ||
                  name == assay.type){
                   stop("'name' must be a non-empty single character value and be ",
-                       "different from `assay.type`.",
-                       call. = FALSE)
+                      "different from `assay.type`.",
+                      call. = FALSE)
               }
               #set.seed(seed)
               # Make sure min_size is of length 1.
               if(length(min_size) > 1){
                   stop("`min_size` had more than one value. ", 
-                       "Specifiy a single integer value.")
+                      "Specify a single integer value.", call. = FALSE)
                   min_size <- min_size[1]    
               }
               if(!is.numeric(min_size) || 
                  as.integer(min_size) != min_size && min_size <= 0){
-                  stop("min_size needs to be a positive integer value.")
+                  stop("min_size needs to be a positive integer value.",
+                      call. = FALSE)
               }
               # get samples with less than min number of reads
               if(min(colSums2(assay(x, assay.type))) < min_size){
                   rmsams <- colnames(x)[colSums2(assay(x, assay.type)) < min_size]
                   # Return NULL, if no samples were found after subsampling
                   if( !any(!colnames(x) %in% rmsams) ){
                       stop("No samples were found after subsampling.",
-                           call. = FALSE)
+                          call. = FALSE)
                   }
                   if(verbose){
                       message(length(rmsams), " samples removed ",
@@ -168,7 +175,6 @@ setMethod("rarefyAssay", signature = c(x = "SummarizedExperiment"),
           }
 )
 
-
 ## Modified Sub sampling function from phyloseq internals
 .subsample_assay <- function(x, min_size, replace){
     # Create replacement species vector