[DOC] Documentation for builtin winsorize function
Closes #955.
diff --git a/dev/docs/builtins-reference.md b/dev/docs/builtins-reference.md
index afc501f..7f306bf 100644
--- a/dev/docs/builtins-reference.md
+++ b/dev/docs/builtins-reference.md
@@ -41,6 +41,7 @@
* [`naivebayes`-Function](#naivebayes-function)
* [`outlier`-Function](#outlier-function)
* [`toOneHot`-Function](#toOneHOt-function)
+ * [`winsorize`-Function](#winsorize-function)
# Introduction
@@ -705,3 +706,30 @@
y = round(X %*% rand(rows=ncol(X), cols=1))
model = msvm(X = X, Y = y, intercept = FALSE, epsilon = 0.005, lambda = 1.0, maxIterations = 100, verbose = FALSE)
```
+
+## `winsorize`-Function
+
+The `winsorize`-function removes outliers from the data. It does so by computing upper and lower quartile range
+of the given data then it replaces any value that falls outside this range (less than lower quartile range or more
+than upper quartile range).
+
+### Usage
+```r
+winsorize(X)
+```
+
+### Arguments
+| Name | Type | Default | Description |
+| :------- | :------------- | :--------| :---------- |
+| X | Matrix[Double] | required | recorded data set with possible outlier values |
+
+### Returns
+| Type | Description |
+| :------------- | :---------- |
+| Matrix[Double] | Matrix without outlier values |
+
+### Example
+```r
+X = rand(rows=10, cols=10,min = 1, max=9)
+Y = winsorize(X=X)
+```
