Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/16283#discussion_r92497054
--- Diff: R/pkg/vignettes/sparkr-vignettes.Rmd ---
@@ -834,6 +838,29 @@ model <- spark.logit(df, Species ~ ., regParam = 0.5)
summary(model)
```
+#### Kolmogorov-Smirnov Test
+
+`spark.kstest` runs a two-sided, one-sample [Kolmogorov-Smirnov (KS)
test](https://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnov_test).
+Given a `SparkDataFrame`, the test compares continuous data in a given
column `testCol` with the theoretical distribution
+specified by parameter `nullHypothesis`.
+Users can call `summary` to get a summary of the test results.
+
+In the following example, we test whether the `longley` dataset's
`Armed_Forces` column
+follows a normal distribution. We set the parameters of the normal
distribution using
+the mean and standard deviation of the sample.
+
+```{r, warning=FALSE}
+df <- createDataFrame(longley)
+afStats <- head(select(df, mean(df$Armed_Forces), sd(df$Armed_Forces)))
+afMean <- afStats[1]
+afStd <- afStats[2]
+
+test <- spark.kstest(df, "Armed_Forces", "norm", c(afMean,afStd))
--- End diff --
nit, space in `c(afMean, afStd)` for style
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