# 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/>


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://www.parapathology.com/statistics-and-bioinformatics/r-project/r-packages.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.