Search Results
Found 36 packages matching "tidyverse"
- tidyverse - Easily Install and Load the 'Tidyverse'
No description available.
- gestalt - Tools for Making and Combining Functions
Provides a suite of function-building tools centered around a (forward) composition operator, %>>>%, which extends the semantics of the 'magrittr' %>% operator and supports 'tidyverse' quasiquotation. It enables you to construct composite functions that can be inspected and transformed as list-like objects. In conjunction with %>>>%, a compact function constructor, fn(), and a function that performs partial application, partial(), are also provided. Both support quasiquotation.
- rlang - Functions for Base Types and Core R and 'Tidyverse' Features
A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.
- rstatix - Pipe-Friendly Framework for Basic Statistical Tests
Provides a simple and intuitive pipe-friendly framework, coherent with the 'tidyverse' design philosophy, for performing basic statistical tests, including t-test, Wilcoxon test, ANOVA, Kruskal-Wallis and correlation analyses. The output of each test is automatically transformed into a tidy data frame to facilitate visualization. Additional functions are available for reshaping, reordering, manipulating and visualizing correlation matrix. Functions are also included to facilitate the analysis of factorial experiments, including purely 'within-Ss' designs (repeated measures), purely 'between-Ss' designs, and mixed 'within-and-between-Ss' designs. It's also possible to compute several effect size metrics, including "eta squared" for ANOVA, "Cohen's d" for t-test and "Cramer's V" for the association between categorical variables. The package contains helper functions for identifying univariate and multivariate outliers, assessing normality and homogeneity of variances.
- tidymv - Tidy Model Visualisation for Generalised Additive Models
Provides functions for visualising generalised additive models and getting predicted values using tidy tools from the 'tidyverse' packages.
- sjmisc - Data and Variable Transformation Functions
Collection of miscellaneous utility functions, supporting data transformation tasks like recoding, dichotomizing or grouping variables, setting and replacing missing values. The data transformation functions also support labelled data, and all integrate seamlessly into a 'tidyverse'-workflow.
- tidycensus - Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames
An integrated R interface to the decennial US Census and American Community Survey APIs and the US Census Bureau's geographic boundary files. Allows R users to return Census and ACS data as tidyverse-ready data frames, and optionally returns a list-column with feature geometry for many geographies.
- areal - Areal Weighted Interpolation
A pipeable, transparent implementation of areal weighted interpolation with support for interpolating multiple variables in a single function call. These tools provide a full-featured workflow for validation and estimation that fits into both modern data management (e.g. tidyverse) and spatial data (e.g. sf) frameworks.
- matahari - Spy on Your R Session
Conveniently log everything you type into the R console. Logs are are stored as tidy data frames which can then be analyzed using 'tidyverse' style tools.
- glancedata - Generate tables and plots to get summaries of data
Generate data frames for all the variables with some summaries and also some plots for numerical variables. Several functions from the 'tidyverse' and 'GGally' packages are used.
- servosphereR - Analyze Data Generated from Syntech Servosphere Trials
Functions that facilitate and speed up the analysis of data produced by a Syntech servosphere
- dapr - 'purrr'-Like Apply Functions Over Input Elements
An easy-to-use, dependency-free set of functions for iterating over elements of various input objects. Functions are wrappers around base apply()/lapply()/vapply() functions but designed to have similar functionality to the mapping functions in the 'purrr' package
- tidyquant - Tidy Quantitative Financial Analysis
Bringing financial analysis to the 'tidyverse'. The 'tidyquant' package provides a convenient wrapper to various 'xts', 'zoo', 'quantmod', 'TTR' and 'PerformanceAnalytics' package functions and returns the objects in the tidy 'tibble' format. The main advantage is being able to use quantitative functions with the 'tidyverse' functions including 'purrr', 'dplyr', 'tidyr', 'ggplot2', 'lubridate', etc. See the 'tidyquant' website for more information, documentation and examples.
- janitor - Simple Tools for Examining and Cleaning Dirty Data
The main janitor functions can: perfectly format data.frame column names; provide quick counts of variable combinations (i.e., frequency tables and crosstabs); and isolate duplicate records. Other janitor functions nicely format the tabulation results. These tabulate-and-report functions approximate popular features of SPSS and Microsoft Excel. This package follows the principles of the "tidyverse" and works well with the pipe function %>%. janitor was built with beginning-to-intermediate R users in mind and is optimized for user-friendliness. Advanced R users can already do everything covered here, but with janitor they can do it faster and save their thinking for the fun stuff.
- sugrrants - Supporting Graphs for Analysing Time Series
Provides 'ggplot2' graphics for analysing time series data. It aims to fit into the 'tidyverse' and grammar of graphics framework for handling temporal data.
- desctable - Produce Descriptive and Comparative Tables Easily
Easily create descriptive and comparative tables. It makes use and integrates directly with the tidyverse family of packages, and pipes. Tables are produced as data frames/lists of data frames for easy manipulation after creation, and ready to be saved as csv, or piped to DT::datatable() or pander::pander() to integrate into reports.
- gratia - Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'
Graceful 'ggplot'-based graphics and utility functions for working with generalized additive models (GAMs) fitted using the 'mgcv' package. Provides a reimplementation of the plot() method for GAMs that 'mgcv' provides, as well as 'tidyverse' compatible representations of estimated smooths.
- opensensmapr - Client for the Data API of openSenseMap.org
Download environmental measurements and sensor station metadata from the API of open data sensor web platform
- tidytidbits - A Collection of Tools and Helpers Extending the Tidyverse
A selection of various tools to extend a data analysis workflow based on the 'tidyverse' packages. This includes high-level data frame editing methods (in the style of 'mutate'/'mutate_at'), some methods in the style of 'purrr' and 'forcats', 'lookup' methods for dict-like lists, a generic method for lumping a data frame by a given count, various low-level methods for special treatment of 'NA' values, 'python'-style tuple-assignment and 'truthy'/'falsy' checks, saving to PDF and PNG from a pipe and various small utilities.
- tbltools - Tools for Working with Tibbles
Tools for working with tibbles, or data.frame-like objects generated by the 'tibble' package
- tidystats - Create a Tidy Statistics Output File
Produce a data file containing the output of statistical models and assist with a workflow aimed at writing scientific papers using 'R Markdown'. Supported statistical functions include: t.test(), cor.test(), lm(), glm(), aov(), anova(), and several others. The package is based on tidy data principles and the 'tidyverse' (Wickham, 2017).
- tidymodels - Easily Install and Load the 'Tidymodels' Packages
The tidy modeling "verse" is a collection of packages for modeling and statistical analysis that share the underlying design philosophy, grammar, and data structures of the tidyverse.
- pkgverse - Build a Meta-Package Universe
Build your own universe of packages similar to the 'tidyverse' package
- bioset - Convert a Matrix of Raw Values into Nice and Tidy Data
Functions to help dealing with raw data from measurements, like reading and transforming raw values organized in matrices, calculating and converting concentrations and calculating precision of duplicates / triplicates / ... . It is compatible with and building on top of some 'tidyverse'-packages.
- tidyselect - Select from a Set of Strings
A backend for the selecting functions of the 'tidyverse'. It makes it easy to implement select-like functions in your own packages in a way that is consistent with other 'tidyverse' interfaces for selection.
- moderndive - Tidyverse-Friendly Introductory Linear Regression
Datasets and wrapper functions for tidyverse-friendly introductory linear regression, used in ModernDive: An Introduction to Statistical and Data Sciences via R available at
- bjscrapeR - An API Wrapper for the Bureau of Justice Statistics (BJS)
Drawing heavy influence from 'blscrapeR', this package scrapes crime data from
- pivot - 'SQL' PIVOT and UNPIVOT
Extends the 'tidyverse' packages 'dbplyr' and 'tidyr' functionality with pivot(), i.e. spread(), and unpivot(), i.e. gather(), for reshaping remote tables. Currently only 'Microsoft SQL Server' is supported.
- usfertilizer - County-Level Estimates of Fertilizer Application in USA
Compiled and cleaned the county-level estimates of fertilizer, nitrogen and phosphorus, from 1945 to 2012 in United States of America (USA). The commercial fertilizer data were originally generated by USGS based on the sales data of commercial fertilizer. The manure data were estimated based on county-level population data of livestock, poultry, and other animals. See the user manual for detailed data sources and cleaning methods. 'usfertilizer' utilized the tidyverse to clean the original data and provide user-friendly dataframe. Please note that USGS does not endorse this package. Also data from 1986 is not available for now.
- tidyboot - Tidyverse-Compatible Bootstrapping
Compute arbitrary non-parametric bootstrap statistics on data in tidy data frames.
- tidyimpute - Imputation the Tidyverse Way
Functions and methods for imputing missing values (NA) in tables and list patterned after the tidyverse approach of 'dplyr' and 'rlang'; works with data.tables as well.
- nofrills - Low-Cost Anonymous Functions
Provides a compact variation of the usual syntax of function declaration, in order to support tidyverse-style quasiquotation of a function's arguments and body.
- harrietr - Wrangle Phylogenetic Distance Matrices and Other Utilities
Harriet was Charles Darwin's pet tortoise (possibly). 'harrietr' implements some function to manipulate distance matrices and phylogenetic trees to make it easier to plot with 'ggplot2' and to manipulate using 'tidyverse' tools.
- flatr - Transforms Contingency Tables to Data Frames, and Analyses Them
Contingency Tables are a pain to work with when you want to run regressions. This package takes them, flattens them into a long data frame, so you can more easily analyse them! As well, you can calculate other related statistics. All of this is done so in a 'tidy' manner, so it should tie in nicely with 'tidyverse' series of packages.
- tidyverse - Easily Install and Load the 'Tidyverse'
The 'tidyverse' is a set of packages that work in harmony because they share common data representations and 'API' design. This package is designed to make it easy to install and load multiple 'tidyverse' packages in a single step. Learn more about the 'tidyverse' at
- tbl2xts - Convert Tibbles or Data Frames to Xts Easily
Facilitate the movement between data frames to 'xts'. Particularly useful when moving from 'tidyverse' to the widely used 'xts' package, which is the input format of choice to various other packages. It also allows the user to use a 'spread_by' argument for a character column 'xts' conversion.
- ggguitar - Utilities for Creating Guitar Tablature
Utilities for Creating Guitar Tablature using tidyverse packages.