diff histogram.r @ 1:344ac3ca7557 draft default tip

"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/charts/ commit 4494db13b69987fbc97d47177d2a5956e46e927b"
author iuc
date Wed, 17 Nov 2021 09:06:59 +0000
parents a87a3773d8ed
children
line wrap: on
line diff
--- a/histogram.r	Fri Mar 09 08:23:08 2018 -0500
+++ b/histogram.r	Wed Nov 17 09:06:59 2021 +0000
@@ -10,36 +10,36 @@
         # load column data
         column <- as.numeric(columns[key])
         column_data <- suppressWarnings(as.numeric(as.character(table[column][[1]])))
-        
+
         # collect vectors in list
         m <- append(m, list(column_data))
     }
-    
+
     # identify optimal breaks
-    hist_data <- hist(unlist(m), plot=FALSE)
+    hist_data <- hist(unlist(m), plot = FALSE)
     breaks <- hist_data$breaks;
-    
+
     # add as first column
     l <- append(l, list(breaks[2: length(breaks)]))
-    
+
     # loop through all columns
     for (key in seq(m)) {
         # load column data
         column_data <- m[[key]]
-        
+
         # create hist data
-        hist_data <- hist(column_data, breaks=breaks, plot=FALSE)
-        
+        hist_data <- hist(column_data, breaks = breaks, plot = FALSE)
+
         # normalize densities
         count_sum <- sum(hist_data$counts)
         if (count_sum > 0) {
-            hist_data$counts = hist_data$counts / count_sum
+            hist_data$counts <- hist_data$counts / count_sum
         }
-        
+
         # collect vectors in list
         l <- append(l, list(hist_data$counts))
     }
-    
+
     # return
-    return (l)
+    return(l)
 }