Update anova_documentation.rst

source/anova_documentation.rst

@@ -1,34 +1,36 @@
-*******
+*************
 anova()
-*******
+*************
 
+Description
+===========
 Performs the analysis-of-variance (ANOVA) and analysis-of-covariance (ANCOVA).
 
 
 
+Parameters
+==========
 
-
-
-Arguments
----------
-
+Input
+-----
 **anova(self, formula_like, data = {}, sum_of_squares = 3, conf_level = 0.95)**
 
   * **formula_like** : A valid formula which will parse the data into a design matrix.
   * **data** : The dataframe which contains the data to be analyzed.
-  * **sum_of_squares** : The type of sum of squares which is desired, the default it Type 3.
+  * **sum_of_squares** : The type of sum of squares which is desired, the default is Type 3.
   * **conf_level** : The confidence interval desired.
 
 
-Returned
---------
-  * A data object with class "anova". This object has accessible methods.
+Returns
+-------
+Returns an object with class "anova"; this object has accessible methods which are
+described below.
 
 anova methods
 ^^^^^^^^^^^^^
 
   * **results(return_type = "Dataframe", decimals = 4, pretty_format = True)**
-    * **return_type** : The type of data structre the results should be returned as. Supported options
+    * **return_type** : The type of data structure the results should be returned as. Supported options
     are 'Dataframe' which will return a Pandas DataFrame or 'Dictionary' which will return a dictionary.
     * **decimals** : The number of decimal places the data should be rounded too.
     * **pretty_format ** : If pretty formatting should be applied. This adds extra empty spaces in the returned data
@@ -37,18 +39,39 @@ anova methods
 
 
 Examples
---------
-First to load required libraries,
+========
+First to load required libraries for this example. Below, an example data set will be loaded
+in using statsmodels.datasets; the data loaded in is a data set available through Stata
+called 'systolic'.
 
 .. code:: python
 
-  import pandas
+  import researchpy as rp
+   # Used to load example data #
    import statsmodels.datasets
-   import researchpy as rp
+
 
    systolic = statsmodels.datasets.webuse('systolic')
 
 
+Now let's take a quick view of the data set.
+
+.. code:: python
+
+  systolic.info()
+
+
+.. parsed-literal::
+
+         drug  disease  systolic
+     0     1        1        42
+     1     1        1        44
+     2     1        1        36
+     3     1        1        13
+     4     1        1        19
+
+
+
 Now to take a look at the descriptives of the univariate data.
 
 .. code:: python