Changes for release

juliasilge · Apr 11, 2020 · 4220fb0 · 4220fb0
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diff --git a/NEWS.md b/NEWS.md
@@ -3,6 +3,7 @@
 * Update to work with the latest version of tidytext's cast_sparse. Adds rlang to IMPORTs. (@juliasilge, #30)
 * Update from data_frame() to tibble() in examples
 * Removed topicmodels from SUGGESTS (hasn't been required for several versions)
+* Fixed spelling mistakes of occurence->occurrence
 
 # widyr 0.1.2
 

diff --git a/README.Rmd b/README.Rmd
@@ -4,10 +4,11 @@
 knitr::opts_chunk$set(
   collapse = TRUE,
   comment = "#>",
+  message = FALSE,
   fig.path = "README-"
 )
 
-library(dplyr)
+suppressPackageStartupMessages(library(dplyr))
 ```
 
 # widyr: Widen, process, and re-tidy a dataset
@@ -19,7 +20,7 @@ library(dplyr)
 [![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/dgrtwo/widyr?branch=master&svg=true)](https://ci.appveyor.com/project/dgrtwo/widyr)
 [![Coverage Status](https://img.shields.io/codecov/c/github/dgrtwo/widyr/master.svg)](https://codecov.io/github/dgrtwo/widyr?branch=master)
 
-This package wraps the pattern of un-tidying data into a wide matrix, performing some processing, then turning it back into a tidy form. This is useful for several mathematical operations such as co-occurence counts, correlations, or clustering that are best done on a wide matrix.
+This package wraps the pattern of un-tidying data into a wide matrix, performing some processing, then turning it back into a tidy form. This is useful for several mathematical operations such as co-occurrence counts, correlations, or clustering that are best done on a wide matrix.
 
 ## Installation
 

diff --git a/README.md b/README.md
@@ -11,7 +11,7 @@
 [![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/dgrtwo/widyr?branch=master&svg=true)](https://ci.appveyor.com/project/dgrtwo/widyr)
 [![Coverage Status](https://img.shields.io/codecov/c/github/dgrtwo/widyr/master.svg)](https://codecov.io/github/dgrtwo/widyr?branch=master)
 
-This package wraps the pattern of un-tidying data into a wide matrix, performing some processing, then turning it back into a tidy form. This is useful for several mathematical operations such as co-occurence counts, correlations, or clustering that are best done on a wide matrix.
+This package wraps the pattern of un-tidying data into a wide matrix, performing some processing, then turning it back into a tidy form. This is useful for several mathematical operations such as co-occurrence counts, correlations, or clustering that are best done on a wide matrix.
 
 ## Installation
 

diff --git a/cran-comments.md b/cran-comments.md
@@ -1,11 +1,18 @@
 ## Changes
 
-* Fixes to be compatible with tidyr v1.0.0, while also being reverse-compatible with previous versions of tidyr.
-* Fix intro vignette index entry
+### Fixes
+
+* Update to work with the latest version of tidytext's cast_sparse. Adds rlang to IMPORTs. (@juliasilge, #30)
+* Update from data_frame() to tibble() in examples
+
+### Maintenance
+
+* Removed topicmodels from SUGGESTS (hasn't been required for several versions)
+* Fixed spelling mistakes of occurence->occurrence
 
 ## Test environments
-* local OS X install, R 3.5.0
-* ubuntu 12.04 (on travis-ci), devel, release, oldrel, and with development tidyr
+* local OS X install, R 3.6.1
+* ubuntu 12.04 (on travis-ci), devel, release, oldrel
 * win-builder (devel and release)
 
 ## R CMD check results
@@ -14,4 +21,7 @@
 
 ## Reverse dependencies
 
-There are no reverse dependencies.
+Reverse imports: akc and saotd
+Reverse depends: wikisourcer
+
+All passed R CMD CHECK with the new version of widyr.
diff --git a/tests/testthat/test-pairwise-count.R b/tests/testthat/test-pairwise-count.R
@@ -27,7 +27,7 @@ test_that("pairing and counting works", {
 
   # test additional arguments
 
-  # for self-pairs, the number of occurences should be the number of distinct
+  # for self-pairs, the number of occurrences should be the number of distinct
   # lines
   d2 <- original %>%
     pairwise_count(char, line, sort = TRUE, upper = FALSE, diag = TRUE)
@@ -70,7 +70,7 @@ test_that("We can count with a weight column", {
 })
 
 
-test_that("Counts co-occurences of words in Pride & Prejudice", {
+test_that("Counts co-occurrences of words in Pride & Prejudice", {
   if (require("janeaustenr", quietly = TRUE)) {
     words <- tibble(text = prideprejudice) %>%
       mutate(line = row_number()) %>%
@@ -82,7 +82,7 @@ test_that("Counts co-occurences of words in Pride & Prejudice", {
     # check it is sorted in descending order
     expect_false(is.unsorted(rev(pairs$n)))
 
-    # check occurences of words that appear with "elizabeth"
+    # check occurrences of words that appear with "elizabeth"
     words_with_elizabeth <- words %>%
       filter(word == "elizabeth") %>%
       select(line) %>%

diff --git a/vignettes/intro.Rmd b/vignettes/intro.Rmd
@@ -10,7 +10,7 @@ vignette: >
 ---
 
 
-This package wraps the pattern of un-tidying data into a wide matrix, performing some processing, then turning it back into a tidy form. This is useful for several mathematical operations such as co-occurence counts, correlations, or clustering that are best done on a wide matrix.
+This package wraps the pattern of un-tidying data into a wide matrix, performing some processing, then turning it back into a tidy form. This is useful for several mathematical operations such as co-occurrence counts, correlations, or clustering that are best done on a wide matrix.
 
 ## Towards a precise definition of "wide" data