Showing 8 of total 8 results (show query)
tidyverse
glue:Interpreted String Literals
An implementation of interpreted string literals, inspired by Python's Literal String Interpolation <https://www.python.org/dev/peps/pep-0498/> and Docstrings <https://www.python.org/dev/peps/pep-0257/> and Julia's Triple-Quoted String Literals <https://docs.julialang.org/en/v1.3/manual/strings/#Triple-Quoted-String-Literals-1>.
Maintained by Jennifer Bryan. Last updated 6 months ago.
729 stars 21.76 score 57k scripts 14k dependentspaws-r
paws:Amazon Web Services Software Development Kit
Interface to Amazon Web Services <https://aws.amazon.com>, including storage, database, and compute services, such as 'Simple Storage Service' ('S3'), 'DynamoDB' 'NoSQL' database, and 'Lambda' functions-as-a-service.
Maintained by Dyfan Jones. Last updated 16 days ago.
332 stars 11.25 score 177 scripts 12 dependentstrinker
textclean:Text Cleaning Tools
Tools to clean and process text. Tools are geared at checking for substrings that are not optimal for analysis and replacing or removing them (normalizing) with more analysis friendly substrings (see Sproat, Black, Chen, Kumar, Ostendorf, & Richards (2001) <doi:10.1006/csla.2001.0169>) or extracting them into new variables. For example, emoticons are often used in text but not always easily handled by analysis algorithms. The replace_emoticon() function replaces emoticons with word equivalents.
Maintained by Tyler Rinker. Last updated 3 years ago.
data-mungingemoticonsregextext-analysistext-cleaning
248 stars 10.18 score 760 scripts 22 dependentspaws-r
paws.analytics:'Amazon Web Services' Analytics Services
Interface to 'Amazon Web Services' 'analytics' services, including 'Elastic MapReduce' 'Hadoop' and 'Spark' big data service, 'Elasticsearch' search engine, and more <https://aws.amazon.com/>.
Maintained by Dyfan Jones. Last updated 16 days ago.
332 stars 9.07 score 13 dependentsradiant-rstats
radiant.data:Data Menu for Radiant: Business Analytics using R and Shiny
The Radiant Data menu includes interfaces for loading, saving, viewing, visualizing, summarizing, transforming, and combining data. It also contains functionality to generate reproducible reports of the analyses conducted in the application.
Maintained by Vincent Nijs. Last updated 5 months ago.
53 stars 8.25 score 146 scripts 6 dependentstrinker
numform:Tools to Format Numbers for Publication
Format numbers and plots for publication; includes the removal of leading zeros, standardization of number of digits, addition of affixes, and a p-value formatter. These tools combine the functionality of several 'base' functions such as 'paste()', 'format()', and 'sprintf()' into specific use case functions that are named in a way that is consistent with usage, making their names easy to remember and easy to deploy.
Maintained by Tyler Rinker. Last updated 3 years ago.
51 stars 6.06 score 151 scripts 1 dependentsdipterix
rpymat:Easy to Configure an Isolated 'Python' Environment
Aims to create a single isolated 'Miniconda' and 'Python' environment for reproducible pipeline scripts. The package provides utilities to run system command within the 'conda' environment, making it easy to install, launch, manage, and stop 'Jupyter-lab'.
Maintained by Zhengjia Wang. Last updated 2 months ago.
1 stars 3.78 score 9 scripts 4 dependents