Merge branch 'master' into develop

Author: andrewpbray

NEWS.md

@@ -13,6 +13,10 @@
 - Manage `infer` class more systematically (#219).
 - Use `vdiffr` for plot testing (#221).
 
+# infer 0.4.1
+
+- Added Evgeni Chasnovski as author for his incredible work on refactoring the package and providing excellent support.
+
 # infer 0.4.0
 
 ## Breaking changes

README.md

@@ -1,56 +1,81 @@
 
-Infer
-=====
+# infer R Package <img src="https://github.com/tidymodels/infer/blob/develop/figs/infer_gnome.png?raw=true" align="right" width=125 />
 
-------------------------------------------------------------------------
+-----
 
 <!--figs/infer.svg-->
-<!--https://www.r-pkg.org/badges/version/infer-->
+
+<!--http://www.r-pkg.org/badges/version/infer-->
+
 <!--figs/master.svg-->
+
 <!--https://img.shields.io/codecov/c/github/tidymodels/infer/master.svg-->
-[![CRAN\_Status\_Badge](https://www.r-pkg.org/badges/version/infer)](https://cran.r-project.org/package=infer) [![Travis-CI Build Status](https://travis-ci.org/tidymodels/infer.svg?branch=master)](https://travis-ci.org/tidymodels/infer) [![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/tidymodels/infer?branch=master&svg=true)](https://ci.appveyor.com/project/tidymodels/infer) [![Coverage Status](https://img.shields.io/codecov/c/github/tidymodels/infer/master.svg)](https://codecov.io/github/tidymodels/infer/?branch=master)
 
-The objective of this package is to perform statistical inference using an expressive statistical grammar that coheres with the `tidyverse` design framework.
+[![CRAN\_Status\_Badge](http://www.r-pkg.org/badges/version/infer)](https://cran.r-project.org/package=infer)
+[![Travis-CI Build
+Status](https://travis-ci.org/tidymodels/infer.svg?branch=master)](https://travis-ci.org/tidymodels/infer)
+[![AppVeyor Build
+Status](https://ci.appveyor.com/api/projects/status/github/tidymodels/infer?branch=master&svg=true)](https://ci.appveyor.com/project/tidymodels/infer)
+[![Coverage
+Status](https://img.shields.io/codecov/c/github/tidymodels/infer/master.svg)](https://codecov.io/github/tidymodels/infer/?branch=master)
+
+The objective of this package is to perform statistical inference using
+an expressive statistical grammar that coheres with the `tidyverse`
+design
+framework.
 
-![](https://raw.githubusercontent.com/tidymodels/infer/master/figs/ht-diagram.png)
+![](https://raw.githubusercontent.com/tidymodels/infer/master/figs/ht-diagram.png)<!-- -->
 
 ### Installation
 
-------------------------------------------------------------------------
+-----
 
 To install the current stable version of `infer` from CRAN:
 
 ``` r
 install.packages("infer")
 ```
 
-To install the developmental version of `infer`, make sure to install `remotes` first. The `pkgdown` website for this developmental version is at <https://infer.netlify.com>.
+To install the developmental version of `infer`, make sure to install
+`remotes` first. The `pkgdown` website for this developmental version is
+at <https://infer.netlify.com>.
 
 ``` r
 install.packages("remotes")
 remotes::install_github("tidymodels/infer")
 ```
 
-To install the cutting edge version of `infer` (do so at your own risk), make sure to install `remotes` first. This version was last updated on 2018-07-11 12:19:33.
+To install the cutting edge version of `infer` (do so at your own risk),
+make sure to install `remotes` first. This version was last updated on
+2019-06-13 14:54:51.
 
 ``` r
 install.packages("remotes")
 remotes::install_github("tidymodels/infer", ref = "develop")
 ```
 
-To see the things we are working on with the package as vignettes/Articles, check out the developmental `pkgdown` site at <https://infer-dev.netlify.com>.
+To see the things we are working on with the package as
+vignettes/Articles, check out the developmental `pkgdown` site at
+<https://infer-dev.netlify.com>.
 
 ### Contributing
 
-------------------------------------------------------------------------
+-----
 
-We welcome others helping us make this package as user friendly and efficient as possible. Please review our [contributing](https://github.com/tidymodels/infer/blob/develop/CONDUCT.md) and [conduct](CONDUCT.md) guidelines. Of particular interest is helping us to write `testthat` tests and help us in building vignettes that show how to (and how NOT to) use the package. By participating in this project you agree to abide by its terms.
+We welcome others helping us make this package as user friendly and
+efficient as possible. Please review our
+[contributing](https://github.com/tidymodels/infer/blob/develop/CONDUCT.md)
+and [conduct](CONDUCT.md) guidelines. Of particular interest is helping
+us to write `testthat` tests and in building vignettes that show how to
+(and how NOT to) use the package. By participating in this project you
+agree to abide by its terms.
 
 ### Examples
 
-------------------------------------------------------------------------
+-----
 
-These examples assume that `mtcars` has been overwritten so that the variables `cyl`, `vs`, `am`, `gear`, and `carb` are `factor`s.
+These examples assume that `mtcars` has been overwritten so that the
+variables `cyl`, `vs`, `am`, `gear`, and `carb` are `factor`s.
 
 ``` r
 mtcars <- as.data.frame(mtcars) %>%
@@ -61,7 +86,8 @@ mtcars <- as.data.frame(mtcars) %>%
           carb = factor(carb))
 ```
 
-Hypothesis test for a difference in proportions (using the formula interface `y ~ x` in `specify()`):
+Hypothesis test for a difference in proportions (using the formula
+interface `y ~ x` in `specify()`):
 
 ``` r
 mtcars %>%
@@ -71,7 +97,9 @@ mtcars %>%
   calculate(stat = "diff in props", order = c("1", "0"))
 ```
 
-Confidence interval for a difference in means (using the non-formula interface giving both the `response` and `explanatory` variables in `specify()`):
+Confidence interval for a difference in means (using the non-formula
+interface giving both the `response` and `explanatory` variables in
+`specify()`):
 
 ``` r
 mtcars %>%
@@ -80,6 +108,10 @@ mtcars %>%
   calculate(stat = "diff in means", order = c("1", "0"))
 ```
 
-Note that the formula and non-formula interfaces work for all implemented inference procedures in `infer`. Use whatever is more natural for you. If you will be doing modeling using functions like `lm()` and `glm()`, we recommend you begin to use the formula `y ~ x` notation as soon as possible though.
+Note that the formula and non-formula interfaces work for all
+implemented inference procedures in `infer`. Use whatever is more
+natural for you. If you will be doing modeling using functions like
+`lm()` and `glm()`, we recommend you begin to use the formula `y ~ x`
+notation as soon as possible though.
 
 Other examples are available in the package vignettes.