Finish adding README URLs for each package (#49)

tidyverse · Mar 20, 2017 · f27f74c · f27f74c
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diff --git a/README.Rmd b/README.Rmd
@@ -39,35 +39,35 @@ devtools::install_github("hadley/tidyverse")
 
 This will install the __core__ tidyverse packages that you are likely to use in almost every analysis:
 
-* ggplot2, for data visualisation.
-* dplyr, for data manipulation.
-* tidyr, for data tidying.
-* readr, for data import.
-* purrr, for functional programming.
-* tibble, for tibbles, a modern re-imagining of data frames.
+* [ggplot2](https://github.com/tidyverse/ggplot2), for data visualisation.
+* [dplyr](https://github.com/hadley/dplyr), for data manipulation.
+* [tidyr](https://github.com/tidyverse/tidyr), for data tidying.
+* [readr](https://github.com/tidyverse/readr), for data import.
+* [purrr](https://github.com/tidyverse/purrr), for functional programming.
+* [tibble](https://github.com/tidyverse/tibble), for tibbles, a modern re-imagining of data frames.
 
 It also installs a selection of other tidyverse packages that you're likely to use frequently, but probably not in every analysis. This includes packages for:
 
 *   Working with specific types of vectors:
 
-    * hms, for times.
-    * stringr, for strings.
-    * lubridate, for date/times.
-    * forcats, for factors.
+    * [hms](https://github.com/rstats-db/hms), for times.
+    * [stringr](https://github.com/tidyverse/stringr), for strings.
+    * [lubridate](https://github.com/hadley/lubridate), for date/times.
+    * [forcats](https://github.com/hadley/forcats), for factors.
 
 *   Importing other types of data:
 
-    * DBI, for databases.
-    * haven, for SPSS, SAS and Stata files.
-    * httr, for web apis.
+    * [DBI](https://github.com/rstats-db/DBI), for databases.
+    * [haven](https://github.com/hadley/haven), for SPSS, SAS and Stata files.
+    * [httr](https://github.com/hadley/httr), for web apis.
     * [jsonlite](https://github.com/jeroenooms/jsonlite) for JSON.
-    * readxl, for `.xls` and `.xlsx` files.
-    * rvest, for web scraping.
-    * xml2, for XML.
+    * [readxl](https://github.com/hadley/readxl), for `.xls` and `.xlsx` files.
+    * [rvest](https://github.com/hadley/rvest), for web scraping.
+    * [xml2](https://github.com/hadley/xml2), for XML.
 
 *   Modelling
 
-    * modelr, for modelling within a pipeline
+    * [modelr](https://github.com/hadley/modelr), for modelling within a pipeline
     * [broom](https://github.com/dgrtwo/broom), for turning models into 
       tidy data
 

diff --git a/README.md b/README.md
@@ -27,33 +27,33 @@ devtools::install_github("hadley/tidyverse")
 
 This will install the **core** tidyverse packages that you are likely to use in almost every analysis:
 
--   ggplot2, for data visualisation.
--   dplyr, for data manipulation.
--   tidyr, for data tidying.
--   readr, for data import.
--   purrr, for functional programming.
--   tibble, for tibbles, a modern re-imagining of data frames.
+-   [ggplot2](https://github.com/tidyverse/ggplot2), for data visualisation.
+-   [dplyr](https://github.com/hadley/dplyr), for data manipulation.
+-   [tidyr](https://github.com/tidyverse/tidyr), for data tidying.
+-   [readr](https://github.com/tidyverse/readr), for data import.
+-   [purrr](https://github.com/tidyverse/purrr), for functional programming.
+-   [tibble](https://github.com/tidyverse/tibble), for tibbles, a modern re-imagining of data frames.
 
 It also installs a selection of other tidyverse packages that you're likely to use frequently, but probably not in every analysis. This includes packages for:
 
 -   Working with specific types of vectors:
 
-    -   hms, for times.
-    -   stringr, for strings.
-    -   lubridate, for date/times.
-    -   forcats, for factors.
+    -   [hms](https://github.com/rstats-db/hms), for times.
+    -   [stringr](https://github.com/tidyverse/stringr), for strings.
+    -   [lubridate](https://github.com/hadley/lubridate), for date/times.
+    -   [forcats](https://github.com/hadley/forcats), for factors.
 -   Importing other types of data:
 
-    -   DBI, for databases.
-    -   haven, for SPSS, SAS and Stata files.
-    -   httr, for web apis.
+    -   [DBI](https://github.com/rstats-db/DBI), for databases.
+    -   [haven](https://github.com/hadley/haven), for SPSS, SAS and Stata files.
+    -   [httr](https://github.com/hadley/httr), for web apis.
     -   [jsonlite](https://github.com/jeroenooms/jsonlite) for JSON.
-    -   readxl, for `.xls` and `.xlsx` files.
-    -   rvest, for web scraping.
-    -   xml2, for XML.
+    -   [readxl](https://github.com/hadley/readxl), for `.xls` and `.xlsx` files.
+    -   [rvest](https://github.com/hadley/rvest), for web scraping.
+    -   [xml2](https://github.com/hadley/xml2), for XML.
 -   Modelling
 
-    -   modelr, for modelling within a pipeline
+    -   [modelr](https://github.com/hadley/modelr), for modelling within a pipeline
     -   [broom](https://github.com/dgrtwo/broom), for turning models into tidy data
 
 These packages will be installed along with tidyverse, but you'll load them explicitly with `library()`.