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:
Usage
read.LIS(ccyyuu, labels=TRUE, vars=NULL, subset=NULL)
Arguments
| 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. |
Details
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”.
Value
A data frame with attributes. See the documentation for read.dta13 for more information.
Examples
# 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)
print(table(ds$educ))
print(attributes(ds)$label.table$educ)
# 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'),
vars=c('dname','hwgt','dhi'),
subset="nhhmem17>0")
# 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:
print(table(x))
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
library()
or
require()
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 | 1.1.1.6 | 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 | 1.1.3.1 | 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 |
| gamlss.data | 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 | 2.18.0.1 | 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 | 2.18.1.1 | 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 | 0.1.1.1 | 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 | 1.2.2.2 | 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 | 2.4.1.1 | 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 | 4.2.5.1 | 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 | 1.6.0.1 | 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 | 1.2.0.1 | 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 | 0.11.4.0.1 | 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library |
| RcppEigen | 0.3.3.9.3 | '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 | 1.8.2.3 | 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 |
| spatstat.data | 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 |
| TH.data | 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) |