doc updated #38

kassambara · Apr 28, 2020 · e5c7e16 · e5c7e16
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diff --git a/README.Rmd b/README.Rmd
@@ -154,9 +154,9 @@ Extract information from statistical test results. Useful for labelling plots wi
 
 These functions are internally used in the `rstatix` and in the `ggpubr` R package to make it easy to program with tidyverse packages using non standard evaluation.
 
-- `df_select()`, `df_arrange()`, `df_group_by()`: wrapper arround dplyr functions for suporting standard and non standard evaluation. 
-- `df_nest_by()`: Nest a tibble data frame using grouping specification. Supports standard and non standard evaluation.
-- `df_split_by()`: Split a data frame by groups into subsets or data panel. Very similar to the function `df_nest_by()`. The only difference is that, it adds label to each data subset. Labels are the combination of the grouping variable levels. 
+- `df_select()`, `df_arrange()`, `df_group_by()`: wrappers arround dplyr functions for suporting standard and non standard evaluations. 
+- `df_nest_by()`: Nest a tibble data frame using grouping specification. Supports standard and non standard evaluations.
+- `df_split_by()`: Split a data frame by groups into subsets or data panel. Very similar to the function `df_nest_by()`. The only difference is that, it adds labels to each data subset. Labels are the combination of the grouping variable levels. 
 - `df_unite()`: Unite multiple columns into one.
 - `df_unite_factors()`: Unite factor columns. First, order factors levels then merge them into one column. The output column is a factor.
 - `df_label_both()`, `df_label_value()`: functions to label data frames rows by  by one or multiple grouping variables.

diff --git a/README.md b/README.md
@@ -221,13 +221,13 @@ These functions are internally used in the `rstatix` and in the `ggpubr`
 R package to make it easy to program with tidyverse packages using non
 standard evaluation.
 
--   `df_select()`, `df_arrange()`, `df_group_by()`: wrapper arround
-    dplyr functions for suporting standard and non standard evaluation.
+-   `df_select()`, `df_arrange()`, `df_group_by()`: wrappers arround
+    dplyr functions for suporting standard and non standard evaluations.
 -   `df_nest_by()`: Nest a tibble data frame using grouping
-    specification. Supports standard and non standard evaluation.
+    specification. Supports standard and non standard evaluations.
 -   `df_split_by()`: Split a data frame by groups into subsets or data
     panel. Very similar to the function `df_nest_by()`. The only
-    difference is that, it adds label to each data subset. Labels are
+    difference is that, it adds labels to each data subset. Labels are
     the combination of the grouping variable levels.
 -   `df_unite()`: Unite multiple columns into one.
 -   `df_unite_factors()`: Unite factor columns. First, order factors

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