Showing 11 of total 11 results (show query)
tidyverse
tidyr:Tidy Messy Data
Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).
Maintained by Hadley Wickham. Last updated 25 days ago.
1.4k stars 22.88 score 168k scripts 5.5k dependents
sparklyr
sparklyr:R Interface to Apache Spark
R interface to Apache Spark, a fast and general engine for big data processing, see <https://spark.apache.org/>. This package supports connecting to local and remote Apache Spark clusters, provides a 'dplyr' compatible back-end, and provides an interface to Spark's built-in machine learning algorithms.
Maintained by Edgar Ruiz. Last updated 10 days ago.
apache-sparkdistributeddplyridelivymachine-learningremote-clusterssparksparklyr
959 stars 15.20 score 4.0k scripts 21 dependents
markfairbanks
tidytable:Tidy Interface to 'data.table'
A tidy interface to 'data.table', giving users the speed of 'data.table' while using tidyverse-like syntax.
Maintained by Mark Fairbanks. Last updated 2 months ago.
460 stars 11.39 score 732 scripts 11 dependents
gdemin
expss:Tables, Labels and Some Useful Functions from Spreadsheets and 'SPSS' Statistics
Package computes and displays tables with support for 'SPSS'-style labels, multiple and nested banners, weights, multiple-response variables and significance testing. There are facilities for nice output of tables in 'knitr', 'Shiny', '*.xlsx' files, R and 'Jupyter' notebooks. Methods for labelled variables add value labels support to base R functions and to some functions from other packages. Additionally, the package brings popular data transformation functions from 'SPSS' Statistics and 'Excel': 'RECODE', 'COUNT', 'COUNTIF', 'VLOOKUP' and etc. These functions are very useful for data processing in marketing research surveys. Package intended to help people to move data processing from 'Excel' and 'SPSS' to R.
Maintained by Gregory Demin. Last updated 12 months ago.
excellabelslabels-supportmsexcelpivot-tablesrecodespssspss-statisticstablesvariable-labelsvlookup
84 stars 11.00 score 1.8k scripts 4 dependents
jmsigner
amt:Animal Movement Tools
Manage and analyze animal movement data. The functionality of 'amt' includes methods to calculate home ranges, track statistics (e.g. step lengths, speed, or turning angles), prepare data for fitting habitat selection analyses, and simulation of space-use from fitted step-selection functions.
Maintained by Johannes Signer. Last updated 5 months ago.
41 stars 10.54 score 418 scripts
bioc
MicrobiotaProcess:A comprehensive R package for managing and analyzing microbiome and other ecological data within the tidy framework
MicrobiotaProcess is an R package for analysis, visualization and biomarker discovery of microbial datasets. It introduces MPSE class, this make it more interoperable with the existing computing ecosystem. Moreover, it introduces a tidy microbiome data structure paradigm and analysis grammar. It provides a wide variety of microbiome data analysis procedures under the unified and common framework (tidy-like framework).
Maintained by Shuangbin Xu. Last updated 5 months ago.
visualizationmicrobiomesoftwaremultiplecomparisonfeatureextractionmicrobiome-analysismicrobiome-data
183 stars 9.70 score 126 scripts 1 dependentsbioc
tidybulk:Brings transcriptomics to the tidyverse
This is a collection of utility functions that allow to perform exploration of and calculations to RNA sequencing data, in a modular, pipe-friendly and tidy fashion.
Maintained by Stefano Mangiola. Last updated 11 days ago.
assaydomaininfrastructurernaseqdifferentialexpressiongeneexpressionnormalizationclusteringqualitycontrolsequencingtranscriptiontranscriptomicsbioconductorbulk-transcriptional-analysesdeseq2differential-expressionedgerensembl-idsentrezgene-symbolsgseamds-dimensionspcapiperedundancytibbletidytidy-datatidyversetranscriptstsne
171 stars 9.57 score 172 scripts 1 dependents
reconverse
incidence2:Compute, Handle and Plot Incidence of Dated Events
Provides functions and classes to compute, handle and visualise incidence from dated events for a defined time interval. Dates can be provided in various standard formats. The class 'incidence2' is used to store computed incidence and can be easily manipulated, subsetted, and plotted.
Maintained by Tim Taylor. Last updated 17 days ago.
17 stars 7.67 score 104 scripts 1 dependents
statisfactions
simpr:Flexible 'Tidyverse'-Friendly Simulations
A general, 'tidyverse'-friendly framework for simulation studies, design analysis, and power analysis. Specify data generation, define varying parameters, generate data, fit models, and tidy model results in a single pipeline, without needing loops or custom functions.
Maintained by Ethan Brown. Last updated 9 months ago.
43 stars 6.89 score 30 scripts
hope-data-science
tidyft:Fast and Memory Efficient Data Operations in Tidy Syntax
Tidy syntax for 'data.table', using modification by reference whenever possible. This toolkit is designed for big data analysis in high-performance desktop or laptop computers. The syntax of the package is similar or identical to 'tidyverse'. It is user friendly, memory efficient and time saving. For more information, check its ancestor package 'tidyfst'.
Maintained by Tian-Yuan Huang. Last updated 6 months ago.
35 stars 6.25 score 34 scripts
quantmeth
Rnest:Next Eigenvalue Sufficiency Test
Determine the number of dimensions to retain in exploratory factor analysis. The main function, nest(), returns the solution and the plot(nest()) returns a plot.
Maintained by P.-O. Caron. Last updated 8 days ago.
exploratory-data-analysisfactor-analysis
2 stars 4.07 score 13 scripts