added separate nonparametric section

benwhalley · Mar 20, 2019 · f53f478 · f53f478
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diff --git a/_bookdown.yml b/_bookdown.yml
@@ -38,6 +38,7 @@ rmd_files:
 # PART MODELS
 "MODELS.Rmd",
 "basic-statistics.Rmd",
+"non-parametrics.Rmd",
 "crosstabulation.Rmd",
 "correlations.Rmd",
 "t-tests.Rmd",

diff --git a/basic-statistics.Rmd b/basic-statistics.Rmd
@@ -9,7 +9,3 @@ title: 'Common statistics'
 
 R has simple functions for common inferential statistics like Chi^2^, t-tests, correlations and many more. This section is by no means exhaustive, but covers [statistics for crosstabulations](#crosstabs), [differences in means](#t-tests), and [linear correlation](#correlations).
 
-For more on non-parametric statistics [this page on the statmethods site](http://www.statmethods.net/stats/nonparametric.html) is a useful guide.
-
-The [`coin::` package](http://finzi.psych.upenn.edu/R/library/coin/doc/coin.pdf) implements many resampling tests, which can also be useful when assumptions of parametric tests are not valid. [See this intro to resampling statistics](http://www.statmethods.net/stats/resampling.html). 
-
diff --git a/non-parametrics.Rmd b/non-parametrics.Rmd
@@ -0,0 +1,14 @@
+---
+title: Non-parametric statistics
+---
+
+
+
+# Non-parametric statistics {#nonparametrics}
+
+This guide is very light on non-parametric statistics in R. 
+
+For more on this topic [this page on the statmethods site](http://www.statmethods.net/stats/nonparametric.html) is a useful guide.
+
+The [`coin::` package](http://finzi.psych.upenn.edu/R/library/coin/doc/coin.pdf) implements many resampling tests, which can also be useful when assumptions of parametric tests are not valid. [See this intro to resampling statistics](http://www.statmethods.net/stats/resampling.html). 
+
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Expand Up		@@ -9,7 +9,3 @@ title: 'Common statistics'

		R has simple functions for common inferential statistics like Chi^2^, t-tests, correlations and many more. This section is by no means exhaustive, but covers [statistics for crosstabulations](#crosstabs), [differences in means](#t-tests), and [linear correlation](#correlations).

		For more on non-parametric statistics [this page on the statmethods site](http://www.statmethods.net/stats/nonparametric.html) is a useful guide.

		The [`coin::` package](http://finzi.psych.upenn.edu/R/library/coin/doc/coin.pdf) implements many resampling tests, which can also be useful when assumptions of parametric tests are not valid. [See this intro to resampling statistics](http://www.statmethods.net/stats/resampling.html).