Update DESCRIPTION, add NEWS, rebuild README

kbenoit · Jul 2, 2018 · 48a436a · 48a436a
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: quanteda.dictionaries
 Type: Package
 Title: Text Analysis Dictionaries
-Version: 0.1.0
+Version: 0.2
 Authors@R: c( person("Kenneth", "Benoit", email = "[email protected]", role =
     c("aut", "cre", "cph")),
     person("Stefan", "Müller", email = "[email protected]", role = "aut"))
@@ -11,7 +11,7 @@ License: MIT + file LICENSE
 Depends:
     R (>= 3.1.0)
 Imports:
-    quanteda (>= 0.99),
+    quanteda (>= 1.2),
     stringi
 Suggests:
     covr,

diff --git a/NEWS.md b/NEWS.md
@@ -0,0 +1,10 @@
+# quanteda.dictionaries 0.2
+
+* Added a `NEWS.md` file to track changes to the package.  
+* Fixed bug #14: word count failing when dictionaries are used.  
+* Fixed bug #16: `liwcalike(x, ...)` not passing arguments to `tokens()`.  
+
+
+
+
+
diff --git a/README.md b/README.md
@@ -1,25 +1,33 @@
 quanteda.dictionaries
 ================
 
-[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/quanteda.dictionaries)](https://cran.r-project.org/package=quanteda.dictionaries)
-[![Travis-CI Build Status](https://travis-ci.org/kbenoit/quanteda.dictionaries.svg?branch=master)](https://travis-ci.org/kbenoit/quanteda.dictionaries)
-[![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/kbenoit/quanteda.dictionaries?branch=master&svg=true)](https://ci.appveyor.com/project/kbenoit/quanteda.dictionaries) 
-[![Coverage Status](https://img.shields.io/codecov/c/github/kbenoit/quanteda.dictionaries/master.svg)](https://codecov.io/github/kbenoit/quanteda.dictionaries?branch=master)
+[![CRAN\_Status\_Badge](http://www.r-pkg.org/badges/version/quanteda.dictionaries)](https://cran.r-project.org/package=quanteda.dictionaries)
+[![Travis-CI Build
+Status](https://travis-ci.org/kbenoit/quanteda.dictionaries.svg?branch=master)](https://travis-ci.org/kbenoit/quanteda.dictionaries)
+[![AppVeyor Build
+Status](https://ci.appveyor.com/api/projects/status/github/kbenoit/quanteda.dictionaries?branch=master&svg=true)](https://ci.appveyor.com/project/kbenoit/quanteda.dictionaries)
+[![Coverage
+Status](https://img.shields.io/codecov/c/github/kbenoit/quanteda.dictionaries/master.svg)](https://codecov.io/github/kbenoit/quanteda.dictionaries?branch=master)
 
-An R package consisting of dictionaries for text analysis and associated utilities. Designed to be used with [**quanteda**](http://quanteda.io) but can be used more generally with any text analytic package (e.g. **tidytext**, **tm**, etc.).
+An R package consisting of dictionaries for text analysis and associated
+utilities. Designed to be used with [**quanteda**](http://quanteda.io)
+but can be used more generally with any text analytic package (e.g.
+**tidytext**, **tm**, etc.).
 
-Installing
-----------
+## Installing
 
 ``` r
 # the devtools package needs to be installed for this to work
 devtools::install_github("kbenoit/quanteda.dictionaries") 
 ```
 
-Demonstration
--------------
+## Demonstration
 
-With the `liwcalike()` function from the **quanteda.dictionaries** package, you can easily analyze text corpora using exising or custom dictionaries. Here we show how to apply the Lexicoder Sentiment Dictionary (Young and Soroka 2012) to a corpus consting of 2000 movie reviews (from the **quanteda.corpora** package).
+With the `liwcalike()` function from the **quanteda.dictionaries**
+package, you can easily analyze text corpora using exising or custom
+dictionaries. Here we show how to apply the Lexicoder Sentiment
+Dictionary (Young and Soroka 2012) to a corpus consting of 2000 movie
+reviews (from the **quanteda.corpora** package).
 
 ``` r
 library("quanteda.dictionaries")
@@ -31,12 +39,12 @@ head(output_lsd)
 ```
 
     ##           docname Segment  WC       WPS Sixltr   Dic anger anticipation
-    ## 1 neg_cv000_29416       1 847  78.88889  12.75 19.36  0.71         2.95
-    ## 2 neg_cv001_19502       2 278 240.00000  15.11 24.46  3.24         3.24
-    ## 3 neg_cv002_17424       3 559 162.66667  13.42 21.29  1.07         2.86
-    ## 4 neg_cv003_12683       4 594 239.50000  16.50 22.73  1.35         3.03
-    ## 5 neg_cv004_12641       5 872 366.50000  12.50 19.38  1.26         1.49
-    ## 6 neg_cv005_29357       6 753 671.00000  17.26 27.49  3.32         1.59
+    ## 1 neg_cv000_29416       1 847  78.88889  13.11 19.36  0.71         2.95
+    ## 2 neg_cv001_19502       2 278 240.00000  10.79 24.46  3.24         3.24
+    ## 3 neg_cv002_17424       3 559 162.66667  16.46 21.29  1.07         2.86
+    ## 4 neg_cv003_12683       4 594 239.50000  16.67 22.73  1.35         3.03
+    ## 5 neg_cv004_12641       5 872 366.50000  19.04 19.38  1.26         1.49
+    ## 6 neg_cv005_29357       6 753 671.00000  18.33 27.49  3.32         1.59
     ##   disgust fear  joy negative positive sadness surprise trust AllPunc
     ## 1    0.83 1.42 2.36     2.24     4.01    1.42     1.30  2.13   18.06
     ## 2    2.16 1.80 1.44     4.32     2.88    1.44     1.08  2.88   18.35
@@ -52,7 +60,8 @@ head(output_lsd)
     ## 5   4.24  6.19  0.69  0.23  0.11   0.00 1.95  2.18    1.72       0  13.65
     ## 6   4.65  3.98  0.13  0.00  0.00   0.00 0.53  0.93    0.40       0   9.69
 
-Code of Conduct
----------------
+## Code of Conduct
 
-Please note that this project is released with a [Contributor Code of Conduct](CONDUCT.md). By participating in this project you agree to abide by its terms.
+Please note that this project is released with a [Contributor Code of
+Conduct](CONDUCT.md). By participating in this project you agree to
+abide by its terms.