📦 prepare release v2.1.0

Author: Stefano Coretta

DESCRIPTION

@@ -1,8 +1,8 @@
 Package: speakr
 Type: Package
 Title: A Wrapper for the Phonetic Software Praat
-Version: 2.0.1.9000
-Date: 2019-03-27
+Version: 2.1.0
+Date: 2019-04-23
 Authors@R: person("Stefano", "Coretta", email = "stefano.coretta@gmail.com",
                   role = c("aut", "cre"))
 Description: It allows running Praat scripts from R and it provides some
@@ -17,3 +17,4 @@ Suggests: knitr,
     tidyverse,
     rmarkdown
 VignetteBuilder: knitr
+Language: en_GB

NEWS.md

@@ -1,6 +1,6 @@
 # Change Log
 
-## Unreleased
+## [2.1.0] - 2019-04-23
 ### Changed
 - expanded documentation
 
@@ -28,12 +28,13 @@
 - code style of some functions
 
 ### Removed
-- old functions with cameCase names
+- old functions with camelCase names
 
 ## 1.0.0
 ### Added
 - everything
 
+[2.1.0]: https://github.com/stefanocoretta/speakr/compare/v2.0.2...v2.1.0
 [2.0.2]: https://github.com/stefanocoretta/speakr/compare/v2.0.1...v2.0.2
 [2.0.1]: https://github.com/stefanocoretta/speakr/compare/v2.0.0...v2.0.1
 [2.0.0]: https://github.com/stefanocoretta/speakr/compare/v1.0.0...v2.0.0

R/paths.R

@@ -1,6 +1,6 @@
 #' Get system path to Praat.
 #'
-#' The function returns the path to the Praat executable depeding on the
+#' The function returns the path to the Praat executable depending on the
 #'     system.
 #'
 #' @return The path to the Praat executable.
@@ -44,7 +44,7 @@ get_praat_path <- function() {
 
 #' Get system path to lmt.
 #'
-#' The function returns the path to the lmt executable depeding on the
+#' The function returns the path to the lmt executable depending on the
 #'     system.
 #'
 #' @return The path to the lmt executable.

README.md

@@ -4,7 +4,7 @@ This is the repository of `speakr`, an `R` package for running Praat scripts and
 
 ## Installation
 
-To install `speakr`, use `devtools::install_github("stefanocoretta/speakr@v2.0.2", build_opts = c("--no-resave-data", "--no-manual"))`. For a quick start on how to use the package, check out the vignette with `vignette("run-praat", "speakr")`.
+To install `speakr`, use `devtools::install_github("stefanocoretta/speakr@v2.1.0", build_opts = c("--no-resave-data", "--no-manual"))`. For a quick start on how to use the package, check out the vignette with `vignette("run-praat", "speakr")`.
 
 If you want to tangle the code of your Praat script with the literate markdown tangler, you need to also install `lmt` from [here](https://github.com/driusan/lmt).
 To use `lmt` with `speakr`, your Go workspace (which will contain the `lmt` executable) needs to be in the default location (`$HOME/go` in Unix and `%USERPROFILE%/go` in Windows). If you are using a custom workspace location, you can set the custom path to `lmt` with `set_lmt_path()` at the start of every R session. Check how to use `speakr::lmt()` by running `vignette("literate-praat", "speakr")`.
@@ -15,6 +15,6 @@ For a demo, check [this repo](https://github.com/stefanocoretta/speakr-demo).
 
 ## Disclaimer
 
-The current stable (🐛 free) version is `v2.0.2`.
+The current stable (🐛 free) version is `v2.01.0.
 
 Package versions ending with `.9000` are developmental. Things might break when updating to the development version.

man/lmt_path.Rd

@@ -31,7 +31,7 @@ If the script logs results to a file, the file is created in the same directory
 
 If, on the other hand, the script logs output to the Info window (for example by using `writeInfo` in the script), you can specify the argument `capture = TRUE` to capture the argument into an R character variable. The outputted string can then be read in as a data frame or tibble.
 
-The following example runs the script `get-formants.praat`, which requires two arguments, `"Herz"` and `0.03` (these will be passed to the `form` in the script). The script logs the results to the Info window with `appendInfoLine` so we use `capture = TRUE` here to stransform the console output into a string and pipe it (`%>%`) to `read_csv()`.
+The following example runs the script `get-formants.praat`, which requires two arguments, `"Herz"` and `0.03` (these will be passed to the `form` in the script). The script logs the results to the Info window with `appendInfoLine` so we use `capture = TRUE` here to transform the console output into a string and pipe it (`%>%`) to `read_csv()`.
 
 ```{r run}
 # system.file() is needed here because the example files reside in the package.