# R packages

## htmlwidgets

{% embed url="<http://gallery.htmlwidgets.org/>" %}

### listdown

{% embed url="<https://github.com/kaneplusplus/listdown>" %}

### Power analizi:

#### Superpower:

<https://aaroncaldwell.us/Superpower/>

<https://cloud.r-project.org/web/packages/Superpower/index.html>

## [R-project, paket bağımlılığı, ve ölçüm kriterlerine dair](https://www.serdarbalci.com)

["It depends - A dialog about dependencies"](https://www.tidyverse.org/blog/2019/05/itdepends/) adlı yazıyı tavsiye ederim. `R-project` kullanırken, paket hazırlarken kullandığımız, üstüne bina ettiğimiz, yaslandığımız, bağımlı olduğumuz diğer paketleri nasıl tespit edeceğimizi, bunları nasıl dengeli ve verimli kullanabileceğimizi anlatıyor. Bunlar için geliştirilen `itdepends` paketinden örnekler verilen yazının son cümlesi şu:

> \_Finally it is important to remember \_[*Goodhart’s Law*](https://en.wikipedia.org/wiki/Goodhart's_law)
>
> *When a measure becomes a target, it ceases to be a good measure.*

Eğer bir ölçüm hedef haline geliyorsa, artık o ölçüm iyi bir ölçüm değildir. Bunu okuyunca codecoverage’ların, codeclass’ların yanısıra performans değerlendirmelerinin, yatak doluluk oranlarının, biyopsi sürelerinin, ekonomik göstergelerin nasıl manipüle edilebildiği konusunda düşünmeye başladım.

## R packages

* R Package Documentation

[https://rdrr.io/](https://rdrr.io)

* R Packages Search and Statistics

[https://www.rpackages.io/](https://www.rpackages.io)

* `ReporteRs` is an R package for creating Microsoft Word and Powerpoint documents.

<https://davidgohel.github.io/ReporteRs/>

* `officer` Manipulation of Microsoft Word and PowerPoint Documents

<https://cran.r-project.org/web/packages/officer/>

* `pubh`

<https://cran.rstudio.com/web/packages/pubh/vignettes/introduction.html>

* What does visdat do?

Initially inspired by [`csv-fingerprint`](https://github.com/setosa/csv-fingerprint), `vis_dat` helps you visualise a dataframe and “get a look at the data” by displaying the variable classes in a dataframe as a plot with `vis_dat`, and getting a brief look into missing data patterns using `vis_miss`.

[https://www.tidyverse.org/](https://www.tidyverse.org)

<https://cran.r-project.org/web/packages/shiny/index.html>

[https://rmarkdown.rstudio.com/](https://rmarkdown.rstudio.com)

[http://ggplot2.org/](http://ggplot2.org)

<https://yihui.name/knitr/>

<http://vita.had.co.nz/papers/tidy-data.html>

<https://blog.rstudio.com/2015/04/09/readr-0-1-0/>

[http://readxl.tidyverse.org/](http://readxl.tidyverse.org)

<https://cran.r-project.org/web/packages/lubridate/vignettes/lubridate.html>

<https://github.com/r-lib/devtools>

<https://cran.r-project.org/web/packages/magrittr/index.html>

<http://rstudio.github.io/packrat/>

<https://cran.r-project.org/web/packages/stringr/vignettes/stringr.html>

<https://github.com/tidyverse/dplyr>

<https://cran.r-project.org/web/packages/broom/vignettes/broom.html>

<https://cran.r-project.org/web/packages/roxygen2/vignettes/roxygen2.html>

[http://tibble.tidyverse.org/](http://tibble.tidyverse.org)

<https://blog.rstudio.com/2016/03/29/feather/>

<https://blog.rstudio.com/2016/08/31/forcats-0-1-0/>

<https://github.com/tidyverse/hms>

<https://github.com/trestletech/plumber>

<https://github.com/r-lib/testthat>

[http://purrr.tidyverse.org/](http://purrr.tidyverse.org)

* R Package Documentation

[https://rdrr.io/](https://rdrr.io)

* R Packages Search and Statistics

[https://www.rpackages.io/](https://www.rpackages.io)

* `ReporteRs` is an R package for creating Microsoft Word and Powerpoint documents.

<https://davidgohel.github.io/ReporteRs/>

* `officer` Manipulation of Microsoft Word and PowerPoint Documents

<https://cran.r-project.org/web/packages/officer/>

* `pubh`

<https://cran.rstudio.com/web/packages/pubh/vignettes/introduction.html>

* What does visdat do?

Initially inspired by [`csv-fingerprint`](https://github.com/setosa/csv-fingerprint), `vis_dat` helps you visualise a dataframe and “get a look at the data” by displaying the variable classes in a dataframe as a plot with `vis_dat`, and getting a brief look into missing data patterns using `vis_miss`.

[https://www.tidyverse.org/](https://www.tidyverse.org)

<https://cran.r-project.org/web/packages/shiny/index.html>

[https://rmarkdown.rstudio.com/](https://rmarkdown.rstudio.com)

[http://ggplot2.org/](http://ggplot2.org)

<https://yihui.name/knitr/>

<http://vita.had.co.nz/papers/tidy-data.html>

<https://blog.rstudio.com/2015/04/09/readr-0-1-0/>

[http://readxl.tidyverse.org/](http://readxl.tidyverse.org)

<https://cran.r-project.org/web/packages/lubridate/vignettes/lubridate.html>

<https://github.com/r-lib/devtools>

<https://cran.r-project.org/web/packages/magrittr/index.html>

<http://rstudio.github.io/packrat/>

<https://cran.r-project.org/web/packages/stringr/vignettes/stringr.html>

<https://github.com/tidyverse/dplyr>

<https://cran.r-project.org/web/packages/broom/vignettes/broom.html>

<https://cran.r-project.org/web/packages/roxygen2/vignettes/roxygen2.html>

[http://tibble.tidyverse.org/](http://tibble.tidyverse.org)

<https://blog.rstudio.com/2016/03/29/feather/>

<https://blog.rstudio.com/2016/08/31/forcats-0-1-0/>

<https://github.com/tidyverse/hms>

<https://github.com/trestletech/plumber>

<https://github.com/r-lib/testthat>

[http://purrr.tidyverse.org/](http://purrr.tidyverse.org)

* `ReporteRs` is an R package for creating Microsoft Word and Powerpoint documents.

<https://davidgohel.github.io/ReporteRs/>

* `officer` Manipulation of Microsoft Word and PowerPoint Documents

<https://cran.r-project.org/web/packages/officer/>

* `pubh`

<https://cran.rstudio.com/web/packages/pubh/vignettes/introduction.html>

* What does visdat do?

Initially inspired by [`csv-fingerprint`](https://github.com/setosa/csv-fingerprint), `vis_dat` helps you visualise a dataframe and “get a look at the data” by displaying the variable classes in a dataframe as a plot with `vis_dat`, and getting a brief look into missing data patterns using `vis_miss`.

[https://www.tidyverse.org/](https://www.tidyverse.org)

<https://cran.r-project.org/web/packages/shiny/index.html>

[https://rmarkdown.rstudio.com/](https://rmarkdown.rstudio.com)

[http://ggplot2.org/](http://ggplot2.org)

<https://yihui.name/knitr/>

<http://vita.had.co.nz/papers/tidy-data.html>

<https://blog.rstudio.com/2015/04/09/readr-0-1-0/>

[http://readxl.tidyverse.org/](http://readxl.tidyverse.org)

<https://cran.r-project.org/web/packages/lubridate/vignettes/lubridate.html>

<https://github.com/r-lib/devtools>

<https://cran.r-project.org/web/packages/magrittr/index.html>

<http://rstudio.github.io/packrat/>

<https://cran.r-project.org/web/packages/stringr/vignettes/stringr.html>

<https://github.com/tidyverse/dplyr>

<https://cran.r-project.org/web/packages/broom/vignettes/broom.html>

<https://cran.r-project.org/web/packages/roxygen2/vignettes/roxygen2.html>

[http://tibble.tidyverse.org/](http://tibble.tidyverse.org)

<https://blog.rstudio.com/2016/03/29/feather/>

<https://blog.rstudio.com/2016/08/31/forcats-0-1-0/>

<https://github.com/tidyverse/hms>

<https://github.com/trestletech/plumber>

<https://github.com/r-lib/testthat>

[http://purrr.tidyverse.org/](http://purrr.tidyverse.org)

* R Package Documentation

[https://rdrr.io/](https://rdrr.io)

* R Packages Search and Statistics

[https://www.rpackages.io/](https://www.rpackages.io)

* `ReporteRs` is an R package for creating Microsoft Word and Powerpoint documents.

<https://davidgohel.github.io/ReporteRs/>

* `officer` Manipulation of Microsoft Word and PowerPoint Documents

<https://cran.r-project.org/web/packages/officer/>

* `pubh`

<https://cran.rstudio.com/web/packages/pubh/vignettes/introduction.html>

* What does visdat do?

Initially inspired by [`csv-fingerprint`](https://github.com/setosa/csv-fingerprint), `vis_dat` helps you visualise a dataframe and “get a look at the data” by displaying the variable classes in a dataframe as a plot with `vis_dat`, and getting a brief look into missing data patterns using `vis_miss`.

[https://www.tidyverse.org/](https://www.tidyverse.org)

<https://cran.r-project.org/web/packages/shiny/index.html>

[https://rmarkdown.rstudio.com/](https://rmarkdown.rstudio.com)

[http://ggplot2.org/](http://ggplot2.org)

<https://yihui.name/knitr/>

<http://vita.had.co.nz/papers/tidy-data.html>

<https://blog.rstudio.com/2015/04/09/readr-0-1-0/>

[http://readxl.tidyverse.org/](http://readxl.tidyverse.org)

<https://cran.r-project.org/web/packages/lubridate/vignettes/lubridate.html>

<https://github.com/r-lib/devtools>

<https://cran.r-project.org/web/packages/magrittr/index.html>

<http://rstudio.github.io/packrat/>

<https://cran.r-project.org/web/packages/stringr/vignettes/stringr.html>

<https://github.com/tidyverse/dplyr>

<https://cran.r-project.org/web/packages/broom/vignettes/broom.html>

<https://cran.r-project.org/web/packages/roxygen2/vignettes/roxygen2.html>

[http://tibble.tidyverse.org/](http://tibble.tidyverse.org)

<https://blog.rstudio.com/2016/03/29/feather/>

<https://blog.rstudio.com/2016/08/31/forcats-0-1-0/>

<https://github.com/tidyverse/hms>

<https://github.com/trestletech/plumber>

<https://github.com/r-lib/testthat>

[http://purrr.tidyverse.org/](http://purrr.tidyverse.org)

## R packages

* `ReporteRs` is an R package for creating Microsoft Word and Powerpoint documents.

<https://davidgohel.github.io/ReporteRs/>

* `officer` Manipulation of Microsoft Word and PowerPoint Documents

<https://cran.r-project.org/web/packages/officer/>

* `pubh`

<https://cran.rstudio.com/web/packages/pubh/vignettes/introduction.html>

* What does visdat do?

Initially inspired by [`csv-fingerprint`](https://github.com/setosa/csv-fingerprint), `vis_dat` helps you visualise a dataframe and “get a look at the data” by displaying the variable classes in a dataframe as a plot with `vis_dat`, and getting a brief look into missing data patterns using `vis_miss`.

[https://www.tidyverse.org/](https://www.tidyverse.org)

<https://cran.r-project.org/web/packages/shiny/index.html>

[https://rmarkdown.rstudio.com/](https://rmarkdown.rstudio.com)

[http://ggplot2.org/](http://ggplot2.org)

<https://yihui.name/knitr/>

<http://vita.had.co.nz/papers/tidy-data.html>

<https://blog.rstudio.com/2015/04/09/readr-0-1-0/>

[http://readxl.tidyverse.org/](http://readxl.tidyverse.org)

<https://cran.r-project.org/web/packages/lubridate/vignettes/lubridate.html>

<https://github.com/r-lib/devtools>

<https://cran.r-project.org/web/packages/magrittr/index.html>

<http://rstudio.github.io/packrat/>

<https://cran.r-project.org/web/packages/stringr/vignettes/stringr.html>

<https://github.com/tidyverse/dplyr>

<https://cran.r-project.org/web/packages/broom/vignettes/broom.html>

<https://cran.r-project.org/web/packages/roxygen2/vignettes/roxygen2.html>

[http://tibble.tidyverse.org/](http://tibble.tidyverse.org)

<https://blog.rstudio.com/2016/03/29/feather/>

<https://blog.rstudio.com/2016/08/31/forcats-0-1-0/>

<https://github.com/tidyverse/hms>

<https://github.com/trestletech/plumber>

<https://github.com/r-lib/testthat>

[http://purrr.tidyverse.org/](http://purrr.tidyverse.org)

* R Package Documentation

[https://rdrr.io/](https://rdrr.io)

* Snippets Run any R code you like

<https://rdrr.io/snippets/>

* Getting R and Java 1.8 to work together on OSX

<http://conjugateprior.org/2014/12/r-java8-osx/>

* [**rJava load error in RStudio/R after “upgrading” to OSX Yosemite**](http://stackoverflow.com/questions/30738974/rjava-load-error-in-rstudio-r-after-upgrading-to-osx-yosemite)

<http://stackoverflow.com/questions/30738974/rjava-load-error-in-rstudio-r-after-upgrading-to-osx-yosemite/31039105>

* Jamovi is an open source R based statistics program with "clickable" interface.

[https://www.jamovi.org/](https://t.co/cOmH9PucqI)

* R commander (Rcmdr)

[http://www.rcommander.com/](http://www.rcommander.com)

<https://socialsciences.mcmaster.ca/jfox/Misc/Rcmdr/>

* JASP is another R based statistical open source software, also has Bayesian features

[https://jasp-stats.org/](https://jasp-stats.org)

* RKWard

[https://rkward.kde.org/](https://rkward.kde.org)

* The MacPorts Project Official Homepage

<https://www.macports.org>

* How to install and use MacPorts

<http://blog.kicaj.com/installing-macports/>

* Rattle: A Graphical User Interface for Data Mining using R

<https://rattle.togaware.com>

<http://marcoghislanzoni.com/blog/2014/08/29/solved-installing-rattle-r-3-1-mac-os-x-10-9/>

* R Package Documentation

[https://rdrr.io/](https://rdrr.io)

* Snippets Run any R code you like

<https://rdrr.io/snippets/>

* Getting R and Java 1.8 to work together on OSX

<http://conjugateprior.org/2014/12/r-java8-osx/>

* [**rJava load error in RStudio/R after “upgrading” to OSX Yosemite**](http://stackoverflow.com/questions/30738974/rjava-load-error-in-rstudio-r-after-upgrading-to-osx-yosemite)

<http://stackoverflow.com/questions/30738974/rjava-load-error-in-rstudio-r-after-upgrading-to-osx-yosemite/31039105>

* Jamovi is an open source R based statistics program with "clickable" interface.

[https://www.jamovi.org/](https://t.co/cOmH9PucqI)

* R commander (Rcmdr)

[http://www.rcommander.com/](http://www.rcommander.com)

<https://socialsciences.mcmaster.ca/jfox/Misc/Rcmdr/>

* JASP is another R based statistical open source software, also has Bayesian features

[https://jasp-stats.org/](https://jasp-stats.org)

* RKWard

[https://rkward.kde.org/](https://rkward.kde.org)

* The MacPorts Project Official Homepage

<https://www.macports.org>

* How to install and use MacPorts

<http://blog.kicaj.com/installing-macports/>

* Rattle: A Graphical User Interface for Data Mining using R

<https://rattle.togaware.com>

<http://marcoghislanzoni.com/blog/2014/08/29/solved-installing-rattle-r-3-1-mac-os-x-10-9/>

* R Package Documentation

[https://rdrr.io/](https://rdrr.io)

* Snippets Run any R code you like

<https://rdrr.io/snippets/>

* Getting R and Java 1.8 to work together on OSX

<http://conjugateprior.org/2014/12/r-java8-osx/>

* [**rJava load error in RStudio/R after “upgrading” to OSX Yosemite**](http://stackoverflow.com/questions/30738974/rjava-load-error-in-rstudio-r-after-upgrading-to-osx-yosemite)

<http://stackoverflow.com/questions/30738974/rjava-load-error-in-rstudio-r-after-upgrading-to-osx-yosemite/31039105>

* Jamovi is an open source R based statistics program with "clickable" interface.

[https://www.jamovi.org/](https://t.co/cOmH9PucqI)

* R commander (Rcmdr)

[http://www.rcommander.com/](http://www.rcommander.com)

<https://socialsciences.mcmaster.ca/jfox/Misc/Rcmdr/>

* JASP is another R based statistical open source software, also has Bayesian features

[https://jasp-stats.org/](https://jasp-stats.org)

* RKWard

[https://rkward.kde.org/](https://rkward.kde.org)

* The MacPorts Project Official Homepage

<https://www.macports.org>

* How to install and use MacPorts

<http://blog.kicaj.com/installing-macports/>

* Rattle: A Graphical User Interface for Data Mining using R

<https://rattle.togaware.com>

<http://marcoghislanzoni.com/blog/2014/08/29/solved-installing-rattle-r-3-1-mac-os-x-10-9/>