add additional reference to wiki article for MAD

assets/differentialabundance_report.Rmd

@@ -726,7 +726,7 @@ iv_min_group_sizes <- unlist(lapply(informative_variables, function(x) min(table
 
 if (any(iv_min_group_sizes > 2)){
     cat("\n### Outlier detection {.tabset}\n")
-    cat("\nOutlier detection based on [median absolute deviation](https://wiki.arrayserver.com/wiki/index.php?title=CorrelationQC.pdf) was undertaken, the outlier scoring is plotted below.\n")
+    cat("\nOutlier detection based on [median absolute deviation](https://wiki.arrayserver.com/wiki/index.php?title=CorrelationQC.pdf) was undertaken, the outlier scoring is plotted below. For more on MAD, see [this wiki article](https://en.wikipedia.org/wiki/Median_absolute_deviation).\n")
 }
 
 foo <- lapply(informative_variables[iv_min_group_sizes > 2], function(iv){

nextflow_schema.json

@@ -373,7 +373,7 @@
                 "exploratory_mad_threshold": {
                     "type": "integer",
                     "default": -5,
-                    "help_text": "MAD = median absolute deviation. A threshold on this value is used to define observations (samples) as outliers, or not, in exploratory plots. Based on the definition at https://wiki.arrayserver.com/wiki/index.php?title=CorrelationQC.pdf. ",
+                    "help_text": "MAD = median absolute deviation. A threshold on this value is used to define observations (samples) as outliers, or not, in exploratory plots. Based on the definition at https://wiki.arrayserver.com/wiki/index.php?title=CorrelationQC.pdf. For more on MAD, see https://en.wikipedia.org/wiki/Median_absolute_deviation.",
                     "description": "Threshold on MAD score for outlier identification",
                     "fa_icon": "fas fa-angry"
                 },