Using R on LISSY

This page explains the special methods used to load LIS and LWS data in R and generate output, and documents the add-on packages currently available on the system.

Loading Data

Data is read into the workspace using the read.LIS function, which has one required argument and three optional arguments. It works as follows:


read.LIS(ccyyuu, labels=TRUE, vars=NULL, subset=NULL)



ccyyuu A string or vector of strings containing dataset identifiers, indicating which datasets to load. For the formatting of this identifier, see Details.
labels A logical value indicating whether to use the value labels for categorical variables. If TRUE, creates a factor from the labels. If FALSE, uses the numeric codes.
subset An optional string specifying a subset of observations to be return. By default, all observations are returned.
vars An optional vector of variables to be loaded. By default, all variables are returned.


The format of ccyyuu is a country and year code followed by a one-letter code used to identify the specific type of dataset within each database:

LIS dataset ‘h’ or ‘p’ for household or person file e.g. “lu04h”, “us10p”
LWS dataset ‘h’, ‘p’ or ‘r’ for household, person or implicate file e.g. “ca05h”, “us10p” or “us10r”

If a vector of multiple dataset identifiers is provided, the datasets will be concatenated and returned as a single “stacked” data frame. Attempting to simultaneously retrieve two datasets containing different variables (e.g., a household and a person file) will cause an error, because such incompatible datasets cannot be stacked on top of one another.

See Examples for code that retrieves the household and person files separately and then generates a merged file, with household data appended to individual records.

When labels is set to FALSE, the value labels will still be stored in the attributes of the data frame, in the named list attribute “label.table”.


A data frame with attributes. See the documentation for read.dta13 for more information.


# Load the household file for Luxembourg 2010
ds <- read.LIS('lu10h')

# Load the person file for Luxembourg 2010, numeric codes only
ds <- read.LIS('lu10p', labels=FALSE)

# Load a combined dataset for Luxembourg 2004 and 2010, containing 
only the dataset name, weights, and disposable household income, for 
households containing children under age 18.
ds <- read.LIS(c('lu04h','lu10h'), 

# Load and merge the household and person files for Luxembourg 2010
dsh <- read.LIS('lu10h')
dsp <- read.LIS('lu10p')
ds <- merge(dsp, dsh, by="hid")

Producing Output

Because of LIS security procedures, you may need to make small modifications to your code in order to produce output. In order to ensure that it will appear in the log file, you must explicitly print() an object, for example:


In addition, the printing of objects of class data.frame has been disabled.

Add-on packages

The R installation on LISSY includes all the packages that are included in base R, as well as all the recommended packages. In addition, the packages listed below are available and can be loaded using functions such as




If you would like to request a package that is not currently installed, please inform User Support and we will consider it for inclusion in a future system update.

Package Version Title
abind 1.4-5 Combine Multidimensional Arrays
acepack 1.4.1 ACE and AVAS for Selecting Multiple Regression Transformations
acid 1.1 Analysing Conditional Income Distributions
AER 1.2-10 Applied Econometrics with R
askpass 1.1 Safe Password Entry for R, Git, and SSH
assertthat 0.2.1 Easy Pre and Post Assertions
backports 1.4.1 Reimplementations of Functions Introduced Since R-3.0.0
base64enc 0.1-3 Tools for base64 encoding
bayestestR 0.13.0 Understand and Describe Bayesian Models and Posterior Distributions
BBmisc 1.13 Miscellaneous Helper Functions for B. Bischl
bda 15.2.5 Binned Data Analysis
bdsmatrix 1.3-6 Routines for Block Diagonal Symmetric Matrices
BH 1.78.0-0 Boost C++ Header Files
biglm 0.9-2.1 Bounded Memory Linear and Generalized Linear Models
bit 4.0.4 Classes and Methods for Fast Memory-Efficient Boolean Selections
bit64 4.0.5 A S3 Class for Vectors of 64bit Integers
bitops 1.0-7 Bitwise Operations
blme 1.0-5 Bayesian Linear Mixed-Effects Models
blob 1.2.3 A Simple S3 Class for Representing Vectors of Binary Data ('BLOBS')
BradleyTerry2 1.1-2 Bradley-Terry Models
brew 1.0-8 Templating Framework for Report Generation
brglm 0.7.2 Bias Reduction in Binomial-Response Generalized Linear Models
bridgesampling 1.1-2 Bridge Sampling for Marginal Likelihoods and Bayes Factors
brio 1.1.3 Basic R Input Output
Brobdingnag 1.2-9 Very Large Numbers in R
broom 1.0.1 Convert Statistical Objects into Tidy Tibbles
bslib 0.4.1 Custom 'Bootstrap' 'Sass' Themes for 'shiny' and 'rmarkdown'
cachem 1.0.6 Cache R Objects with Automatic Pruning
callr 3.7.3 Call R from R
car 3.1-1 Companion to Applied Regression
carData 3.0-5 Companion to Applied Regression Data Sets
caTools 1.18.2 Tools: Moving Window Statistics, GIF, Base64, ROC AUC, etc
cellranger 1.1.0 Translate Spreadsheet Cell Ranges to Rows and Columns
checkmate 2.1.0 Fast and Versatile Argument Checks
classInt 0.4-8 Choose Univariate Class Intervals
cli 3.4.1 Helpers for Developing Command Line Interfaces
clipr 0.8.0 Read and Write from the System Clipboard
coda 0.19-4 Output Analysis and Diagnostics for MCMC
coin 1.4-2 Conditional Inference Procedures in a Permutation Test Framework
collapse 1.8.9 Advanced and Fast Data Transformation
colorspace 2.0-3 A Toolbox for Manipulating and Assessing Colors and Palettes
combinat 0.0-8 combinatorics utilities
commonmark 1.8.1 High Performance CommonMark and Github Markdown Rendering in R
conquer 1.3.1 Convolution-Type Smoothed Quantile Regression
convey 0.2.4 Income Concentration Analysis with Complex Survey Samples
corpcor 1.6.10 Efficient Estimation of Covariance and (Partial) Correlation
corrplot 0.92 Visualization of a Correlation Matrix
covr 3.6.1 Test Coverage for Packages
cowplot 1.1.1 Streamlined Plot Theme and Plot Annotations for 'ggplot2'
cpp11 0.4.3 A C++11 Interface for R's C Interface
crayon 1.5.2 Colored Terminal Output
credentials 1.3.2 Tools for Managing SSH and Git Credentials
crosstalk 1.2.0 Inter-Widget Interactivity for HTML Widgets
cubelyr 1.0.2 A Data Cube 'dplyr' Backend
Cubist 0.4.1 Rule- And Instance-Based Regression Modeling
curl 4.3.3 A Modern and Flexible Web Client for R
curry 0.1.1 Partial Function Application with %<%, %-<%, and %><%
CVST 0.2-3 Fast Cross-Validation via Sequential Testing
data.table 1.14.4 Extension of `data.frame`
datawizard 0.6.3 Easy Data Wrangling and Statistical Transformations
DBI 1.1.3 R Database Interface
dbplyr 2.2.1 A 'dplyr' Back End for Databases
deldir 1.0-6 Delaunay Triangulation and Dirichlet (Voronoi) Tessellation
DEoptimR 1.0-11 Differential Evolution Optimization in Pure R
Deriv 4.1.3 Symbolic Differentiation
desc 1.4.2 Manipulate DESCRIPTION Files
diffobj 0.3.5 Diffs for R Objects
digest 0.6.30 Create Compact Hash Digests of R Objects
dineq 0.1.0 Decomposition of (Income) Inequality
diptest 0.76-0 Hartigan's Dip Test Statistic for Unimodality - Corrected
discretization 1.0-1.1 Data Preprocessing, Discretization for Classification
doParallel 1.0.17 Foreach Parallel Adaptor for the 'parallel' Package
dplyr 1.0.10 A Grammar of Data Manipulation
dreamerr 1.2.3 Error Handling Made Easy
dtplyr 1.2.2 Data Table Back-End for 'dplyr'
dummies 1.5.6 Create dummy/indicator variables flexibly and efficiently
dygraphs Interface to 'Dygraphs' Interactive Time Series Charting Library
e1071 1.7-12 Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
earth 5.3.1 Multivariate Adaptive Regression Splines
effectsize 0.8.2 Indices of Effect Size
ellipse 0.4.3 Functions for Drawing Ellipses and Ellipse-Like Confidence Regions
ellipsis 0.3.2 Tools for Working with ...
emmeans 1.7.2 Estimated Marginal Means, aka Least-Squares Means
estimability 1.4.1 Tools for Assessing Estimability of Linear Predictions
evaluate 0.18 Parsing and Evaluation Tools that Provide More Details than the Default
Exact 3.2 Unconditional Exact Test
expm 0.999-6 Matrix Exponential, Log, 'etc'
extraDistr 1.9.1 Additional Univariate and Multivariate Distributions
fancycut 0.1.2 A Fancy Version of 'base::cut'
fansi 1.0.3 ANSI Control Sequence Aware String Functions
farver 2.1.1 High Performance Colour Space Manipulation
fastDummies 1.6.3 Fast Creation of Dummy (Binary) Columns and Rows from Categorical Variables
fastICA 1.2-3 FastICA Algorithms to Perform ICA and Projection Pursuit
fastmap 1.1.0 Fast Data Structures
fastmatch 1.1-3 Fast 'match()' Function
feather 0.3.5 R Bindings to the Feather 'API'
fit.models 0.64 Compare Fitted Models
fixest 0.11.0 Fast Fixed-Effects Estimations
FNN Fast Nearest Neighbor Search Algorithms and Applications
forcats 0.5.2 Tools for Working with Categorical Variables (Factors)
foreach 1.5.2 Provides Foreach Looping Construct
Formula 1.2-4 Extended Model Formulas
fs 1.5.2 Cross-Platform File System Operations Based on 'libuv'
future 1.29.0 Unified Parallel and Distributed Processing in R for Everyone
future.apply 1.10.0 Apply Function to Elements in Parallel using Futures
gam 1.22 Generalized Additive Models
gamlss 5.4-3 Generalised Additive Models for Location Scale and Shape 6.0-2 Data for Generalised Additive Models for Location Scale and Shape
gamlss.dist 6.0-5 Distributions for Generalized Additive Models for Location Scale and Shape
gargle 1.2.1 Utilities for Working with Google APIs
gdata Various R Programming Tools for Data Manipulation
gee 4.13-25 Generalized Estimation Equation Solver
generics 0.1.3 Common S3 Generics not Provided by Base R Methods Related to Model Fitting
gert 1.9.1 Simple Git Client for R
GGally 2.1.2 Extension to 'ggplot2'
ggeffects 1.1.4 Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
ggplot2 3.4.0 Create Elegant Data Visualisations Using the Grammar of Graphics
ggpubr 0.4.0 'ggplot2' Based Publication Ready Plots
ggrepel 0.9.2 Automatically Position Non-Overlapping Text Labels with 'ggplot2'
ggsci 2.9 Scientific Journal and Sci-Fi Themed Color Palettes for 'ggplot2'
ggthemes 4.2.4 Extra Themes, Scales and Geoms for 'ggplot2'
gh 1.3.1 'GitHub' 'API'
git2r 0.30.1 Provides Access to Git Repositories
gitcreds 0.1.2 Query 'git' Credentials from 'R'
gld 2.6.6 Estimation and Use of the Generalised (Tukey) Lambda Distribution
globals 0.16.1 Identify Global Objects in R Expressions
glue 1.6.2 Interpreted String Literals
gmm 1.7 Generalized Method of Moments and Generalized Empirical Likelihood
gmodels Various R Programming Tools for Model Fitting
goftest 1.2-3 Classical Goodness-of-Fit Tests for Univariate Distributions
googledrive 2.0.0 An Interface to Google Drive
googlesheets4 1.0.1 Access Google Sheets using the Sheets API V4
gower 1.0.0 Gower's Distance
GPArotation 2022.10-2 GPA Factor Rotation
gplots 3.1.3 Various R Programming Tools for Plotting Data
gridExtra 2.3 Miscellaneous Functions for Grid Graphics
gtable 0.3.1 Arrange 'Grobs' in Tables
gtools 3.9.3 Various R Programming Tools
haven 2.5.1 Import and Export 'SPSS', 'Stata' and 'SAS' Files
here 1.0.1 A Simpler Way to Find Your Files
highr 0.9 Syntax Highlighting for R Source Code
hms 1.1.2 Pretty Time of Day
htmltools 0.5.3 Tools for HTML
htmlwidgets 1.5.4 HTML Widgets for R
httpuv 1.6.6 HTTP and WebSocket Server Library
httr 1.4.4 Tools for Working with URLs and HTTP
IC2 1.0-1 Inequality and Concentration Indices and Curves
ids 1.0.1 Generate Random Identifiers
igraph 1.3.5 Network Analysis and Visualization
import 1.3.0 An Import Mechanism for R
ineq 0.2-13 Measuring Inequality, Concentration, and Poverty
ini 0.3.1 Read and Write '.ini' Files
inline 0.3.19 Functions to Inline C, C++, Fortran Function Calls from R
insight 0.18.6 Easy Access to Model Information for Various Model Objects
interp 1.1-3 Interpolation Methods
inum 1.0-4 Interval and Enum-Type Representation of Vectors
ipred 0.9-13 Improved Predictors
isoband 0.2.6 Generate Isolines and Isobands from Regularly Spaced Elevation Grids
ISwR 2.0-8 Introductory Statistics with R
iterators 1.0.14 Provides Iterator Construct
janitor 2.1.0 Simple Tools for Examining and Cleaning Dirty Data
jpeg 0.1-9 Read and write JPEG images
jquerylib 0.1.4 Obtain 'jQuery' as an HTML Dependency Object
jsonlite 1.8.3 A Simple and Robust JSON Parser and Generator for R
Kendall 2.2.1 Kendall Rank Correlation and Mann-Kendall Trend Test
kernlab 0.9-31 Kernel-Based Machine Learning Lab
klaR 1.7-1 Classification and Visualization
knitr 1.40 A General-Purpose Package for Dynamic Report Generation in R
ks 1.13.5 Kernel Smoothing
labeling 0.4.2 Axis Labeling
laeken 0.5.2 Estimation of Indicators on Social Exclusion and Poverty
later 1.3.0 Utilities for Scheduling Functions to Execute Later with Event Loops
latticeExtra 0.6-30 Extra Graphical Utilities Based on Lattice
lava 1.7.0 Latent Variable Models
lavaan 0.6-12 Latent Variable Analysis
lazyeval 0.2.2 Lazy (Non-Standard) Evaluation
leaps 3.1 Regression Subset Selection
libcoin 1.0-9 Linear Test Statistics for Permutation Inference
lifecycle 1.0.3 Manage the Life Cycle of your Package Functions
lissyrtools 0.0.1 Tools for LISSY Jobs
listenv 0.8.0 Environments Behaving (Almost) as Lists
lme4 1.1-31 Linear Mixed-Effects Models using 'Eigen' and S4
lmerTest 3.1-3 Tests in Linear Mixed Effects Models
lmom 2.9 L-Moments
lmtest 0.9-40 Testing Linear Regression Models
loo 2.5.1 Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models
lpSolve 5.6.17 Interface to 'Lp_solve' v. 5.5 to Solve Linear/Integer Programs
lubridate 1.9.0 Make Dealing with Dates a Little Easier
maditr 0.8.3 Fast Data Aggregation, Modification, and Filtering with Pipes and 'data.table'
magrittr 2.0.3 A Forward-Pipe Operator for R
maptools 1.1-5 Tools for Handling Spatial Objects
margins 0.3.26 Marginal Effects for Model Objects
Matching 4.10-8 Multivariate and Propensity Score Matching with Balance Optimization
matrixcalc 1.0-6 Collection of Functions for Matrix Calculations
MatrixModels 0.5-1 Modelling with Sparse and Dense Matrices
matrixStats 0.62.0 Functions that Apply to Rows and Columns of Matrices (and to Vectors)
maxLik 1.5-2 Maximum Likelihood Estimation and Related Tools
mclust 6.0.0 Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
mda 0.5-3 Mixture and Flexible Discriminant Analysis
measures 0.3 Performance Measures for Statistical Learning
mediation 4.5.0 Causal Mediation Analysis
memoise 2.0.1 'Memoisation' of Functions
merTools 0.5.2 Tools for Analyzing Mixed Effect Regression Models
mhurdle 1.3-0 Multiple Hurdle Tobit Models
mice 3.14.0 Multivariate Imputation by Chained Equations
microbenchmark 1.4.9 Accurate Timing Functions
mime 0.12 Map Filenames to MIME Types
miniUI Shiny UI Widgets for Small Screens
minqa 1.2.5 Derivative-Free Optimization Algorithms by Quadratic Approximation
misc3d 0.9-1 Miscellaneous 3D Plots
miscTools 0.6-26 Miscellaneous Tools and Utilities
mitools 2.4 Tools for Multiple Imputation of Missing Data
mixR 0.2.0 Finite Mixture Modeling for Raw and Binned Data
mixtools 1.2.0 Tools for Analyzing Finite Mixture Models
mlbench 2.1-3 Machine Learning Benchmark Problems
MLmetrics 1.1.1 Machine Learning Evaluation Metrics
mlogit 1.1-1 Multinomial Logit Models
mnormt 2.1.1 The Multivariate Normal and t Distributions, and Their Truncated Versions
ModelMetrics Rapid Calculation of Model Metrics
modelr 0.1.9 Modelling Functions that Work with the Pipe
modeltools 0.2-23 Tools and Classes for Statistical Models
multcomp 1.4-20 Simultaneous Inference in General Parametric Models
multicool 0.1-12 Permutations of Multisets in Cool-Lex Order
multimode 1.5 Mode Testing and Exploring
munsell 0.5.0 Utilities for Using Munsell Colours
mvtnorm 1.1-3 Multivariate Normal and t Distributions
nFactors Parallel Analysis and Other Non Graphical Solutions to the Cattell Scree Test
nleqslv 3.3.3 Solve Systems of Nonlinear Equations
nloptr 2.0.3 R Interface to NLopt
numDeriv 2016.8-1.1 Accurate Numerical Derivatives
nycflights13 1.0.2 Flights that Departed NYC in 2013
openssl 2.0.4 Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
openxlsx Read, Write and Edit xlsx Files
optimParallel 1.0-2 Parallel Version of the L-BFGS-B Optimization Method
optimx 2022-4.30 Expanded Replacement and Extension of the 'optim' Function
optmatch 0.10.5 Functions for Optimal Matching
packrat 0.8.1 A Dependency Management System for Projects and their R Package Dependencies
pacman 0.5.1 Package Management Tool
pamr 1.56.1 Pam: Prediction Analysis for Microarrays
parallelly 1.32.1 Enhancing the 'parallel' Package
parallelMap 1.5.1 Unified Interface to Parallelization Back-Ends
parameters 0.19.0 Processing of Model Parameters
ParamHelpers 1.14.1 Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning
party 1.3-11 A Laboratory for Recursive Partytioning
partykit 1.2-16 A Toolkit for Recursive Partytioning
pbivnorm 0.6.0 Vectorized Bivariate Normal CDF
pbkrtest 0.5.1 Parametric Bootstrap, Kenward-Roger and Satterthwaite Based Methods for Test in Mixed Models
pcaPP 2.0-3 Robust PCA by Projection Pursuit
performance 0.10.0 Assessment of Regression Models Performance
pillar 1.8.1 Coloured Formatting for Columns
pkgbuild 1.3.1 Find Tools Needed to Build R Packages
pkgconfig 2.0.3 Private Configuration for 'R' Packages
pkgload 1.3.1 Simulate Package Installation and Attach
plm 2.6-2 Linear Models for Panel Data
plogr 0.2.0 The 'plog' C++ Logging Library
plot3D 1.4 Plotting Multi-Dimensional Data
plotly 4.10.1 Create Interactive Web Graphics via 'plotly.js'
plotmo 3.6.2 Plot a Model's Residuals, Response, and Partial Dependence Plots
plotrix 3.8-2 Various Plotting Functions
pls 2.8-1 Partial Least Squares and Principal Component Regression
plyr 1.8.7 Tools for Splitting, Applying and Combining Data
pmml 2.5.2 Generate PMML for Various Models
png 0.1-7 Read and write PNG images
poLCA Polytomous Variable Latent Class Analysis
polyclip 1.10-4 Polygon Clipping
polynom 1.4-1 A Collection of Functions to Implement a Class for Univariate Polynomial Manipulations
pracma 2.4.2 Practical Numerical Math Functions
praise 1.0.0 Praise Users
prediction 0.3.14 Tidy, Type-Safe 'prediction()' Methods
prettyunits 1.1.1 Pretty, Human Readable Formatting of Quantities
pROC 1.18.0 Display and Analyze ROC Curves
processx 3.8.0 Execute and Control System Processes
prodlim 2019.11.13 Product-Limit Estimation for Censored Event History Analysis
profileModel 0.6.1 Profiling Inference Functions for Various Model Classes
progress 1.2.2 Terminal Progress Bars
progressr 0.11.0 An Inclusive, Unifying API for Progress Updates
promises Abstractions for Promise-Based Asynchronous Programming
proxy 0.4-27 Distance and Similarity Measures
ps 1.7.2 List, Query, Manipulate System Processes
pscl 1.5.5 Political Science Computational Laboratory
psych 2.2.9 Procedures for Psychological, Psychometric, and Personality Research
psychotools 0.7-2 Psychometric Modeling Infrastructure
psychotree 0.16-0 Recursive Partitioning Based on Psychometric Models
purrr 0.3.5 Functional Programming Tools
quadprog 1.5-8 Functions to Solve Quadratic Programming Problems
quantmod 0.4.20 Quantitative Financial Modelling Framework
quantreg 5.94 Quantile Regression
questionr 0.7.7 Functions to Make Surveys Processing Easier
qvcalc 1.0.2 Quasi Variances for Factor Effects in Statistical Models
R.cache 0.16.0 Fast and Light-Weight Caching (Memoization) of Objects and Results to Speed Up Computations
R.methodsS3 1.8.2 S3 Methods Simplified
R.oo 1.25.0 R Object-Oriented Programming with or without References
R.utils 2.12.1 Various Programming Utilities
R6 2.5.1 Encapsulated Classes with Reference Semantics
randomForest 4.6-14 Breiman and Cutler's Random Forests for Classification and Regression
randomizr 0.22.0 Easy-to-Use Tools for Common Forms of Random Assignment and Sampling
RANN 2.6.1 Fast Nearest Neighbour Search (Wraps ANN Library) Using L2 Metric
rappdirs 0.3.3 Application Directories: Determine Where to Save Data, Caches, and Logs
rbibutils 2.2.9 Read 'Bibtex' Files and Convert Between Bibliography Formats
rcmdcheck 1.4.0 Run 'R CMD check' from 'R' and Capture Results
RColorBrewer 1.1-3 ColorBrewer Palettes
Rcpp 1.0.9 Seamless R and C++ Integration
RcppArmadillo 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
RcppEigen 'Rcpp' Integration for the 'Eigen' Templated Linear Algebra Library
RcppParallel 5.1.5 Parallel Programming Tools for 'Rcpp'
RcppProgress 0.4.2 An Interruptible Progress Bar with OpenMP Support for C++ in R Packages
RcppTOML 0.1.7 'Rcpp' Bindings to Parser for Tom's Obvious Markup Language
Rdpack 2.4 Update and Manipulate Rd Documentation Objects
readr 2.1.3 Read Rectangular Text Data
readstata13 0.10.0 Import 'Stata' Data Files
readxl 1.4.1 Read Excel Files
rematch 1.0.1 Match Regular Expressions with a Nicer 'API'
rematch2 2.1.2 Tidy Output from Regular Expression Matching
remotes 2.4.2 R Package Installation from Remote Repositories, Including 'GitHub'
reprex 2.0.2 Prepare Reproducible Example Code via the Clipboard
reshape 0.8.9 Flexibly Reshape Data
reshape2 1.4.4 Flexibly Reshape Data: A Reboot of the Reshape Package
reticulate 1.26 Interface to 'Python'
rex 1.2.1 Friendly Regular Expressions
rgenoud 5.9-0.3 R Version of GENetic Optimization Using Derivatives
rio 0.5.29 A Swiss-Army Knife for Data I/O
rJava 1.0-6 Low-Level R to Java Interface
rlang 1.0.6 Functions for Base Types and Core R and 'Tidyverse' Features
rlemon 0.2.0 R Access to LEMON Graph Algorithms
rmarkdown 2.17 Dynamic Documents for R
rngtools 1.5.2 Utility Functions for Working with Random Number Generators
robust 0.7-1 Port of the S+ Robust Library
robustbase 0.95-0 Basic Robust Statistics
ROCR 1.0-11 Visualizing the Performance of Scoring Classifiers
rootSolve Nonlinear Root Finding, Equilibrium and Steady-State Analysis of Ordinary Differential Equations
ROSE 0.0-4 Random Over-Sampling Examples
rprojroot 2.0.3 Finding Files in Project Subdirectories
rrcov 1.7-2 Scalable Robust Estimators with High Breakdown Point
rsconnect 0.8.28 Deployment Interface for R Markdown Documents and Shiny Applications
rstantools 2.2.0 Tools for Developing R Packages Interfacing with 'Stan'
rstatix 0.7.1 Pipe-Friendly Framework for Basic Statistical Tests
rstudioapi 0.14 Safely Access the RStudio API
rversions 2.1.2 Query 'R' Versions, Including 'r-release' and 'r-oldrel'
rvest 1.0.3 Easily Harvest (Scrape) Web Pages
RWeka 0.4-44 R/Weka Interface
RWekajars 3.9.3-2 R/Weka Interface Jars
sandwich 3.0-2 Robust Covariance Matrix Estimators
sass 0.4.2 Syntactically Awesome Style Sheets ('Sass')
scales 1.2.1 Scale Functions for Visualization
scatterplot3d 0.3-42 3D Scatter Plot
segmented 1.6-1 Regression Models with Break-Points / Change-Points (with Possibly Random Effects) Estimation
selectr 0.4-2 Translate CSS Selectors to XPath Expressions
sessioninfo 1.2.2 R Session Information
sgeostat 1.0-27 An Object-Oriented Framework for Geostatistical Modeling in S+
shinyjs 2.1.0 Easily Improve the User Experience of Your Shiny Apps in Seconds
shinythemes 1.2.0 Themes for Shiny
sjlabelled 1.2.0 Labelled Data Utility Functions
sjmisc 2.8.9 Data and Variable Transformation Functions
sjstats 0.18.1 Collection of Convenient Functions for Common Statistical Computations
snakecase 0.11.0 Convert Strings into any Case
sourcetools 0.1.7 Tools for Reading, Tokenizing and Parsing R Code
sp 1.5-1 Classes and Methods for Spatial Data
SparseM 1.81 Sparse Linear Algebra
spatstat 2.3-4 Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
spatstat.core 2.4-4 Core Functionality of the 'spatstat' Family 3.0-0 Datasets for 'spatstat' Family
spatstat.geom 3.0-3 Geometrical Functionality of the 'spatstat' Family
spatstat.linnet 2.3-2 Linear Networks Functionality of the 'spatstat' Family
spatstat.random 3.0-1 Random Generation Functionality for the 'spatstat' Family
spatstat.sparse 3.0-0 Sparse Three-Dimensional Arrays and Linear Algebra Utilities
spatstat.utils 3.0-1 Utility Functions for 'spatstat'
splancs 2.01-43 Spatial and Space-Time Point Pattern Analysis
splitstackshape 1.4.8 Stack and Reshape Datasets After Splitting Concatenated Values
spls 2.2-3 Sparse Partial Least Squares (SPLS) Regression and Classification
SQUAREM 2021.1 Squared Extrapolation Methods for Accelerating EM-Like Monotone Algorithms
StanHeaders 2.21.0-7 C++ Header Files for Stan
stargazer 5.2.3 Well-Formatted Regression and Summary Statistics Tables
statmod 1.4.37 Statistical Modeling
stringi 1.7.8 Fast and Portable Character String Processing Facilities
stringr 1.4.1 Simple, Consistent Wrappers for Common String Operations
strucchange 1.5-3 Testing, Monitoring, and Dating Structural Changes
subselect 0.15.3 Selecting Variable Subsets
superpc 1.12 Supervised Principal Components
survey 4.1-1 Analysis of Complex Survey Samples
sys 3.4.1 Powerful and Reliable Tools for Running System Commands in R
TeachingDemos 2.12 Demonstrations for Teaching and Learning
tensor 1.5 Tensor product of arrays
tensorA 0.36.2 Advanced Tensor Arithmetic with Named Indices
testthat 3.1.5 Unit Testing for R 1.1-1 TH's Data Archive
threejs 0.3.3 Interactive 3D Scatter Plots, Networks and Globes
tibble 3.1.8 Simple Data Frames
tictoc 1.1 Functions for Timing R Scripts, as Well as Implementations of Stack and List Structures
tidyr 1.2.1 Tidy Messy Data
tidyselect 1.2.0 Select from a Set of Strings
tidyverse 1.3.2 Easily Install and Load the 'Tidyverse'
timechange 0.1.1 Efficient Manipulation of Date-Times
timeDate 4021.106 Rmetrics - Chronological and Calendar Objects
tinytex 0.42 Helper Functions to Install and Maintain TeX Live, and Compile LaTeX Documents
TMB 1.9.1 Template Model Builder: A General Random Effect Tool Inspired by 'ADMB'
tmvnsim 1.0-2 Truncated Multivariate Normal Simulation
trend 1.1.4 Non-Parametric Trend Tests and Change-Point Detection
tripack 1.3-9.1 Triangulation of Irregularly Spaced Data
truncreg 0.2-5 Truncated Gaussian Regression Models
tseries 0.10-52 Time Series Analysis and Computational Finance
TTR 0.24.3 Technical Trading Rules
tzdb 0.3.0 Time Zone Database Information
unbalanced 2.0 Racing for Unbalanced Methods Selection
urlchecker 1.0.1 Run CRAN URL Checks from Older R Versions
utf8 1.2.2 Unicode Text Processing
uuid 1.1-0 Tools for Generating and Handling of UUIDs
varImp 0.4 RF Variable Importance for Arbitrary Measures
vcd 1.4-10 Visualizing Categorical Data
vctrs 0.5.0 Vector Helpers
viridis 0.6.2 Colorblind-Friendly Color Maps for R
viridisLite 0.4.1 Colorblind-Friendly Color Maps (Lite Version)
vroom 1.6.0 Read and Write Rectangular Text Data Quickly
waldo 0.4.0 Find Differences Between R Objects
whisker 0.4 {{mustache}} for R, Logicless Templating
withr 2.5.0 Run Code 'With' Temporarily Modified Global State
writexl 1.4.1 Export Data Frames to Excel 'xlsx' Format
xfun 0.34 Supporting Functions for Packages Maintained by 'Yihui Xie'
XML 3.99-0.12 Tools for Parsing and Generating XML Within R and S-Plus
xml2 1.3.3 Parse XML
xopen 1.0.0 Open System Files, 'URLs', Anything
xtable 1.8-4 Export Tables to LaTeX or HTML
xts 0.12.2 eXtensible Time Series
yaml 2.3.6 Methods to Convert R Data to YAML and Back
zip 2.2.2 Cross-Platform 'zip' Compression
zoo 1.8-11 S3 Infrastructure for Regular and Irregular Time Series (Z's Ordered Observations)