Test tidyexplain name and update README

Sets figure output to man/figures/tidyexplain- and ensures that all R chunks that output figures are named. This gives a collection of animations and static images with reasonable names ready for download and use.

DESCRIPTION

 Type: Package
-Package: tidyverbs
-Title: Animate the Verbs of the Tidyverse
+Package: tidyexplain
+Title: Animated Explanations of Tidyverse Verbs
 Version: 0.0.1.9000
 Date: 2018-08-27
 Authors@R: 
       person(given = "Tyler Grant",
              family = "Smith",
              role = "ctb"))
-Description: Animate the verbs of the tidyverse.
+Description: Animated explanations of the verbs in the tidyverse
+    using gganimate and ggplot2.
 License: MIT + file LICENSE
 Depends: 
     gganimate (>= 0.9.9.9999),
 Suggests: 
     knitr,
     roxygen2,
-    viridis,
-    testthat
+    testthat,
+    viridis
 VignetteBuilder: 
     knitr
 Encoding: UTF-8

README.Rmd

 ---
 output: github_document
+editor_options: 
+  chunk_output_type: console
 ---
 
 <!-- README.md is generated from README.Rmd. Please edit that file -->
   echo = TRUE,
   warning = FALSE,
   message = FALSE,
+  fig.path = "man/figures/tidyexplain-",
   cache = TRUE
 )
-library(tidyAnimatedVerbs)
+library(dplyr)
+library(tidyexplain)
+set_font_size(11, 26)
 ```
 
 [gganimate]: https://github.com/thomasp85/gganimate#README
 - Tidyr Operations: [`gather()`](#gather), [`spread()`](#spread)
 
 - Learn more about
-- [Relational Data](#relational-data)
-- [gganimate](#gganimate)
+    - [Relational Data](#relational-data)
+    - [gganimate](#gganimate)
 
 
 Please feel free to use these images for teaching or learning about action verbs from the [tidyverse](https://tidyverse.org).
 
 ## Installing
 
-The library can be installed with
-```{r, echo=T,eval=F}
+The in-development version of `tidyexplain` can be installed with `devtools`:
+
+```r
 # install.package("devtools")
 devtools::install_github("gadenbuie/tidy-animated-verbs")
+
+library(tidyexplain)
 ```
 
 ## Mutating Joins
 
-```{r intial-dfs, echo=T}
-library(tidyAnimatedVerbs)
+```{r intial-dfs}
 x <- data_frame(
   id = 1:3,
   x = paste0("x", 1:3)
 ```
 
 
-```{r echo=TRUE}
+```{r}
 x
 y
 ```
 
 > All rows from `x` where there are matching values in `y`, and all columns from `x` and `y`.
 
-```{r inner-join, echo=T}
+```{r inner-join}
 animate_inner_join(x, y, by = "id")
 ```
 
 
-```{r echo=TRUE}
+```{r}
 inner_join(x, y, by = "id")
 ```
 
 
 > All rows from `x`, and all columns from `x` and `y`. Rows in `x` with no match in `y` will have `NA` values in the new columns.
 
-```{r left-join, echo=T}
+```{r left-join}
 animate_left_join(x, y, by = "id")
 ```
 
 
-```{r echo=TRUE}
+```{r}
 left_join(x, y, by = "id")
 ```
 
 
 > ... If there are multiple matches between `x` and `y`, all combinations of the matches are returned.
 
-```{r left-join-extra, echo=T}
+```{r left-join-extra}
 y_extra <- bind_rows(y, data_frame(id = 2, y = "y5"))
 y_extra # has multiple rows with the key from `x`
 
 animate_left_join(x, y_extra, by = "id")
 ```
 
-```{r echo=TRUE}
+```{r}
 left_join(x, y_extra, by = "id")
 ```
 
 
 > All rows from y, and all columns from `x` and `y`. Rows in `y` with no match in `x` will have `NA` values in the new columns.
 
-```{r right-join, echo = T}
+```{r right-join}
 animate_right_join(x, y, by = "id")
 ```
 
 
-```{r echo=TRUE}
+```{r}
 right_join(x, y, by = "id")
 ```
 
 
 > All rows and all columns from both `x` and `y`. Where there are not matching values, returns `NA` for the one missing.
 
-```{r full-join, echo=T}
+```{r full-join}
 animate_full_join(x, y, by = "id")
 ```
 
 
-```{r echo=TRUE}
+```{r}
 full_join(x, y, by = "id")
 ```
 
 
 > All rows from `x` where there are matching values in `y`, keeping just columns from `x`.
 
-```{r semi-join, echo=T}
+```{r semi-join}
 animate_semi_join(x, y, by = "id")
 ```
 
 
-```{r echo=TRUE}
+```{r}
 semi_join(x, y, by = "id")
 ```
 
 
 > All rows from `x` where there are not matching values in `y`, keeping just columns from `x`.
 
-```{r anti-join, echo=T}
+```{r anti-join}
 animate_anti_join(x, y, by = "id")
 ```
 
 
-```{r echo=TRUE}
+```{r}
 anti_join(x, y, by = "id")
 ```
 
 ## Set Operations
 
-```{r intial-dfs-so, echo=T}
+```{r intial-dfs-so}
 x <- data_frame(
   x = c(1, 1, 2),
   y = c("a", "b", "a")
 ```
 
 
-```{r echo=TRUE}
+```{r}
 x
 y 
 ```
 
 > All unique rows from `x` and `y`.
 
-```{r union, echo=T}
+```{r union}
 animate_union(x, y)
 ```
 
 
-```{r echo=TRUE}
+```{r}
 union(x, y)
 ```
 
 
 
-```{r echo=TRUE}
+```{r union-y-x}
 animate_union(y, x)
 
 union(y, x)
 
 > All rows from `x` and `y`, keeping duplicates.
 
-```{r union-all, echo=T}
+```{r union-all}
 animate_union_all(x, y)
 ```
 
 
 
-```{r echo=TRUE}
+```{r}
 union_all(x, y)
 ```
 
 
 > Common rows in both `x` and `y`, keeping just unique rows.
 
-```{r intersect, echo=T}
+```{r intersect}
 animate_intersect(x, y)
 ```
 
 
-```{r echo=TRUE}
+```{r}
 intersect(x, y)
 ```
 
 
 > All rows from `x` which are not also rows in `y`, keeping just unique rows.
 
-```{r setdiff, echo=T}
+```{r setdiff}
 animate_setdiff(x, y)
 ```
 
 
-```{r echo=TRUE}
+```{r}
 setdiff(x, y)
 ```
 
 
-```{r echo=TRUE}
+```{r setdiff-y-x}
 animate_setdiff(y, x)
 
 setdiff(y, x)
 you organize your data into tidy data.
 
 ```{r}
+library(tidyr)
+
 long <- data_frame(
   year = c(2010, 2011, 2010, 2011, 2010, 2011),
   person = c("Alice", "Alice", "Bob", "Bob", "Charlie", "Charlie"),
 )
 ```
 
-
 ### Gather
 
 > Gather takes multiple columns and collapses into key-value pairs, duplicating all other columns as needed. You use gather() when you notice that your column names are not names of variables, but values of a variable.
 
-```{r}
+```{r gather}
 animate_gather(wide, key = "person", value = "sales", -year)
 ```
 
 gather(wide, key = "person", value = "sales", -year)
 ```
 
-
-
 ### Spread
 
 > Spread a key-value pair across multiple columns. Use it when an a column contains observations from multiple variables.
 
-```{r}
+```{r spread}
 animate_spread(long, key = "person", value = "sales")
 ```
 
 ```
 
 
-
-
-
 ## Learn More
 
 ### Relational Data

README.md

   - Tidyr Operations: [`gather()`](#gather), [`spread()`](#spread)
 
   - Learn more about
-
-  - [Relational Data](#relational-data)
-
-  - [gganimate](#gganimate)
+    
+      - [Relational Data](#relational-data)
+      - [gganimate](#gganimate)
 
 Please feel free to use these images for teaching or learning about
 action verbs from the [tidyverse](https://tidyverse.org). You can
 
 ## Installing
 
-The library can be installed with
+The in-development version of `tidyexplain` can be installed with
+`devtools`:
 
 ``` r
 # install.package("devtools")
 devtools::install_github("gadenbuie/tidy-animated-verbs")
+
+library(tidyexplain)
 ```
 
 ## Mutating Joins
 
 ``` r
-library(tidyAnimatedVerbs)
 x <- data_frame(
   id = 1:3,
   x = paste0("x", 1:3)
 animate_full_join(x, y, by = c("id"), export = "first")
 ```
 
-![](README_files/figure-gfm/intial-dfs-1.png)<!-- -->
+![](man/figures/tidyexplain-intial-dfs-1.png)<!-- -->
 
 ``` r
 x
 animate_inner_join(x, y, by = "id")
 ```
 
-![](README_files/figure-gfm/inner-join-1.gif)<!-- -->
+![](man/figures/tidyexplain-inner-join-1.gif)<!-- -->
 
 ``` r
 inner_join(x, y, by = "id")
 animate_left_join(x, y, by = "id")
 ```
 
-![](README_files/figure-gfm/left-join-1.gif)<!-- -->
+![](man/figures/tidyexplain-left-join-1.gif)<!-- -->
 
 ``` r
 left_join(x, y, by = "id")
 animate_left_join(x, y_extra, by = "id")
 ```
 
-![](README_files/figure-gfm/left-join-extra-1.gif)<!-- -->
+![](man/figures/tidyexplain-left-join-extra-1.gif)<!-- -->
 
 ``` r
 left_join(x, y_extra, by = "id")
 animate_right_join(x, y, by = "id")
 ```
 
-![](README_files/figure-gfm/right-join-1.gif)<!-- -->
+![](man/figures/tidyexplain-right-join-1.gif)<!-- -->
 
 ``` r
 right_join(x, y, by = "id")
 animate_full_join(x, y, by = "id")
 ```
 
-![](README_files/figure-gfm/full-join-1.gif)<!-- -->
+![](man/figures/tidyexplain-full-join-1.gif)<!-- -->
 
 ``` r
 full_join(x, y, by = "id")
 animate_semi_join(x, y, by = "id")
 ```
 
-![](README_files/figure-gfm/semi-join-1.gif)<!-- -->
+![](man/figures/tidyexplain-semi-join-1.gif)<!-- -->
 
 ``` r
 semi_join(x, y, by = "id")
 animate_anti_join(x, y, by = "id")
 ```
 
-![](README_files/figure-gfm/anti-join-1.gif)<!-- -->
+![](man/figures/tidyexplain-anti-join-1.gif)<!-- -->
 
 ``` r
 anti_join(x, y, by = "id")
 animate_union(x, y, export = "first")
 ```
 
-![](README_files/figure-gfm/intial-dfs-so-1.png)<!-- -->
+![](man/figures/tidyexplain-intial-dfs-so-1.png)<!-- -->
 
 ``` r
 x
 animate_union(x, y)
 ```
 
-![](README_files/figure-gfm/union-1.gif)<!-- -->
+![](man/figures/tidyexplain-union-1.gif)<!-- -->
 
 ``` r
 union(x, y)
 animate_union(y, x)
 ```
 
-![](README_files/figure-gfm/unnamed-chunk-12-1.gif)<!-- -->
+![](man/figures/tidyexplain-union-y-x-1.gif)<!-- -->
 
 ``` r
 
 animate_union_all(x, y)
 ```
 
-![](README_files/figure-gfm/union-all-1.gif)<!-- -->
+![](man/figures/tidyexplain-union-all-1.gif)<!-- -->
 
 ``` r
 union_all(x, y)
 animate_intersect(x, y)
 ```
 
-![](README_files/figure-gfm/intersect-1.gif)<!-- -->
+![](man/figures/tidyexplain-intersect-1.gif)<!-- -->
 
 ``` r
 intersect(x, y)
 animate_setdiff(x, y)
 ```
 
-![](README_files/figure-gfm/setdiff-1.gif)<!-- -->
+![](man/figures/tidyexplain-setdiff-1.gif)<!-- -->
 
 ``` r
 setdiff(x, y)
 animate_setdiff(y, x)
 ```
 
-![](README_files/figure-gfm/unnamed-chunk-16-1.gif)<!-- -->
+![](man/figures/tidyexplain-setdiff-y-x-1.gif)<!-- -->
 
 ``` r
 
 you organize your data into tidy data.
 
 ``` r
+library(tidyr)
+
 long <- data_frame(
   year = c(2010, 2011, 2010, 2011, 2010, 2011),
   person = c("Alice", "Alice", "Bob", "Bob", "Charlie", "Charlie"),
 animate_gather(wide, key = "person", value = "sales", -year)
 ```
 
-![](README_files/figure-gfm/unnamed-chunk-18-1.gif)<!-- -->
+![](man/figures/tidyexplain-gather-1.gif)<!-- -->
 
 ``` r
 gather(wide, key = "person", value = "sales", -year)
 animate_spread(long, key = "person", value = "sales")
 ```
 
-![](README_files/figure-gfm/unnamed-chunk-20-1.gif)<!-- -->
+![](man/figures/tidyexplain-spread-1.gif)<!-- -->
 
 ``` r
 spread(long, key = "person", value = "sales")

man/tidyverbs-package.Rd → man/tidyexplain-package.Rd

 % Generated by roxygen2: do not edit by hand
 % Please edit documentation in R/zzzz-package.R
 \docType{package}
-\name{tidyverbs-package}
-\alias{tidyverbs}
-\alias{tidyverbs-package}
-\title{tidyverbs: Animate the Verbs of the Tidyverse}
+\name{tidyexplain-package}
+\alias{tidyexplain}
+\alias{tidyexplain-package}
+\title{tidyexplain: Animated Explanations of Tidyverse Verbs}
 \description{
-Animate the verbs of the tidyverse.
+Animated explanations of the verbs in the tidyverse
+    using gganimate and ggplot2.
 }
 \author{
 \strong{Maintainer}: Garrick Aden-Buie \email{g.adenbuie@gmail.com}