Skip to content

adding datapasta, janitor, and officer pkgs #20

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
pgensler wants to merge 3 commits into
base: master
Choose a base branch
from
Open

adding datapasta, janitor, and officer pkgs #20

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
478880f
adding datapasta, janitor, and officer pkgs
pgensler Dec 9, 2017
50335bf
updating readme.md for added packages
pgensler Dec 31, 2017
dfecf06
adding huxtable, flextable, and Business Science pkgs
pgensler Dec 31, 2017
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
5 changes: 3 additions & 2 deletions README.Rmd
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -62,7 +62,7 @@ These packages help you wrangle your data into a form that is easy to analyze in
* [broom](http://varianceexplained.org/r/broom-intro/) - tools for tidying statistical models into data frames
* [zoo](https://www.google.com/webhp?sourceid=chrome-instant&ion=1&espv=2&ie=UTF-8#q=r%20zoo) - data structures for time series data
* [PivotalR](https://github.com/pivotalsoftware/PivotalR) - R wrappers for in-database SQL operations (i.e. join, group by)

* [janitor](https://github.com/sfirke/janitor) - tools for cleaning excel data and tables

## Visualize
These packages help you visualize your data.
Expand Down Expand Up @@ -175,7 +175,7 @@ These packages help you communicate the results of data science to your audience
* [yaml](https://github.com/viking/r-yaml) - Methods to convert R data to YAML and back
* [pander](http://rapporter.github.io/pander/) - renders R objects into Pandoc markdown.
* [configr](https://github.com/Miachol/configr) - Integrated and improved configuration file parser (json,ini,yaml,toml).

* [officer](https://github.com/davidgohel/officer) - create office documents from R


## Automate
Expand Down Expand Up @@ -219,6 +219,7 @@ These packages make it easier to program with the R language.
* [RJSONIO](https://github.com/duncantl/RJSONIO) - convert R objects to JSON notation
* [jsonlite](https://github.com/jeroenooms/jsonlite) - a fast JSON parser and generator for R
* [RcppArmadillo](https://github.com/RcppCore/RcppArmadillo) - interface to 'Armadillo' Templated Linear Algebra Library
* [datapasta](https://github.com/MilesMcBain/datapasta) - tools to recreate tibble's for a reprex

## Data
These packages contain data sets to use as training data or toy examples.
Expand Down
10 changes: 10 additions & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -48,6 +48,7 @@ These packages help you import data into R and save data.
- [RSQLite](https://github.com/rstats-db/RSQLite) - SQlite driver for DBI
- [bigrquery](https://github.com/rstats-db/bigrquery) - Google BigQuery driver for DBI
- [PivotalR](https://github.com/pivotalsoftware/PivotalR) - reads data from and interfaces with [Postgres](http://www.postgresql.org), [Greenplum](http://greenplum.org), and [HAWQ](http://hawq.incubator.apache.org)
- [janitor](https://github.com/sfirke/janitor) - tools for cleaning excel data and tables
- [dplyr](https://github.com/hadley/dplyr) - contains an interface to common databases
- [data.table](https://github.com/Rdatatable/data.table) - `fread()` for fast table reading
- [git2r](https://github.com/ropensci/git2r) - tools to access git repositories
Expand All @@ -62,6 +63,7 @@ These packages help you wrangle your data into a form that is easy to analyze in
- [dplyr](https://github.com/hadley/dplyr) - tools for joining multiple tables into a tidy data set
- [purrr](https://github.com/hadley/purrr) - tools for applying R functions to data structures, very useful when tidying
- [broom](http://varianceexplained.org/r/broom-intro/) - tools for tidying statistical models into data frames
- [sweep](https://business-science.github.io/sweep/) - tools for extending broom to time series forecasting
- [zoo](https://www.google.com/webhp?sourceid=chrome-instant&ion=1&espv=2&ie=UTF-8#q=r%20zoo) - data structures for time series data
- [PivotalR](https://github.com/pivotalsoftware/PivotalR) - R wrappers for in-database SQL operations (i.e. join, group by)

Expand Down Expand Up @@ -136,6 +138,10 @@ These packages help you transform your data into new types of data.
- [vtreat](https://github.com/WinVector/vtreat) - tools for pre-processing variables for predictive modeling
- [stringi](http://www.rexamine.com/resources/stringi/) - fast string processing facilities.
- [Matrix](http://matrix.r-forge.r-project.org/) - LAPACK methods for dense and sparse matrix operations
- [tidyquant](https://business-science.github.io/tidyquant/) - financial analysis for the tidyverse
- [timetk](https://business-science.github.io/timetk/) - tools to work with time series data
- [tibbletime](https://github.com/business-science/tibbletime) - time-aware tibbles


Model/Infer
-----------
Expand Down Expand Up @@ -182,6 +188,9 @@ These packages help you communicate the results of data science to your audience
- [yaml](https://github.com/viking/r-yaml) - Methods to convert R data to YAML and back
- [pander](http://rapporter.github.io/pander/) - renders R objects into Pandoc markdown.
- [configr](https://github.com/Miachol/configr) - Integrated and improved configuration file parser (json,ini,yaml,toml).
- [officer](https://github.com/davidgohel/officer) - create office documents from R
- [huxtable](https://hughjonesd.github.io/huxtable/) - create customized HTML and LaTeX tables with conditional formatting
- [flextable](https://davidgohel.github.io/flextable/) - create customized tables for reporting with Microsoft products

Automate
--------
Expand Down Expand Up @@ -227,6 +236,7 @@ These packages make it easier to program with the R language.
- [RJSONIO](https://github.com/duncantl/RJSONIO) - convert R objects to JSON notation
- [jsonlite](https://github.com/jeroenooms/jsonlite) - a fast JSON parser and generator for R
- [RcppArmadillo](https://github.com/RcppCore/RcppArmadillo) - interface to 'Armadillo' Templated Linear Algebra Library
- [datapasta](https://github.com/MilesMcBain/datapasta) - tools to recreate tibble's for a reprex

Data
----
Expand Down