|
r-r.rsp
|
public |
The RSP markup language makes any text-based document come alive. RSP provides a powerful markup for controlling the content and output of LaTeX, HTML, Markdown, AsciiDoc, Sweave and knitr documents (and more), e.g. 'Today's date is <%=Sys.Date()%>'. Contrary to many other literate programming languages, with RSP it is straightforward to loop over mixtures of code and text sections, e.g. in month-by-month summaries. RSP has also several preprocessing directives for incorporating static and dynamic contents of external files (local or online) among other things. Functions rstring() and rcat() make it easy to process RSP strings, rsource() sources an RSP file as it was an R script, while rfile() compiles it (even online) into its final output format, e.g. rfile('report.tex.rsp') generates 'report.pdf' and rfile('report.md.rsp') generates 'report.html'. RSP is ideal for self-contained scientific reports and R package vignettes. It's easy to use - if you know how to write an R script, you'll be up and running within minutes.
|
2025-04-22 |
|
r-quickpsy
|
public |
Quickly fits and plots psychometric functions (normal, logistic, Weibull or any or any function defined by the user) for multiple groups.
|
2025-04-22 |
|
r-questionr
|
public |
Set of functions to make the processing and analysis of surveys easier : interactive shiny apps and addins for data recoding, contingency tables, dataset metadata handling, and several convenience functions.
|
2025-04-22 |
|
r-quickplot
|
public |
A high-level plotting system, compatible with `ggplot2` objects, maps from `sf`, `terra`, `raster`, `sp`. It is built primarily on the 'grid' package. The objective of the package is to provide a plotting system that is built for speed and modularity. This is useful for quick visualizations when testing code and for plotting multiple figures to the same device from independent sources that may be independent of one another (i.e., different function or modules the create the visualizations). The suggested package 'fastshp' can be installed from the repository (<https://PredictiveEcology.r-universe.dev>).
|
2025-04-22 |
|
r-quarto
|
public |
Convert R Markdown documents and 'Jupyter' notebooks to a variety of output formats using 'Quarto'.
|
2025-04-22 |
|
r-quantdr
|
public |
An implementation of dimension reduction techniques for conditional quantiles. Nonparametric estimation of conditional quantiles is also available.
|
2025-04-22 |
|
r-qualtrics
|
public |
Provides functions to access survey results directly into R using the 'Qualtrics' API. 'Qualtrics' <https://www.qualtrics.com/about/> is an online survey and data collection software platform. See <https://api.qualtrics.com/> for more information about the 'Qualtrics' API. This package is community-maintained and is not officially supported by 'Qualtrics'.
|
2025-04-22 |
|
r-qreport
|
public |
Provides statistical components, tables, and graphs that are useful in 'Quarto' and 'RMarkdown' reports and that produce 'Quarto' elements for special formatting such as tabs and marginal notes and graphs. Some of the functions produce entire report sections with tabs, e.g., the missing data report created by missChk(). Functions for inserting variables and tables inside 'graphviz' and 'mermaid' diagrams are included, and so are special clinical trial graphics for adverse event reporting.
|
2025-04-22 |
|
r-qmap
|
public |
Empirical adjustment of the distribution of variables originating from (regional) climate model simulations using quantile mapping.
|
2025-04-22 |
|
r-qqplotr
|
public |
Extensions of 'ggplot2' Q-Q plot functionalities.
|
2025-04-22 |
|
r-qlcmatrix
|
public |
Extension of the functionality of the Matrix package for using sparse matrices. Some of the functions are very general, while other are highly specific for special data format as used for quantitative language comparison (QLC).
|
2025-04-22 |
|
r-qicharts2
|
public |
Functions for making run charts, Shewhart control charts and Pareto charts for continuous quality improvement. Included control charts are: I, MR, Xbar, S, T, C, U, U', P, P', and G charts. Non-random variation in the form of minor to moderate persistent shifts in data over time is identified by the Anhoej rules for unusually long runs and unusually few crossing [Anhoej, Olesen (2014) <doi:10.1371/journal.pone.0113825>]. Non-random variation in the form of larger, possibly transient, shifts is identified by Shewhart's 3-sigma rule [Mohammed, Worthington, Woodall (2008) <doi:10.1136/qshc.2004.012047>].
|
2025-04-22 |
|
r-qgisprocess
|
public |
Provides seamless access to the 'QGIS' (<https://qgis.org/en/site/>) processing toolbox using the standalone 'qgis_process' command-line utility. Both native and third-party (plugin) processing providers are supported. Beside referring data sources from file, also common objects from 'sf', 'terra' and 'stars' are supported. The native processing algorithms are documented by QGIS.org (2023) <https://docs.qgis.org/latest/en/docs/user_manual/processing_algs/>.
|
2025-04-22 |
|
r-qgcomp
|
public |
G-computation for a set of time-fixed exposures with quantile-based basis functions, possibly under linearity and homogeneity assumptions. This approach estimates a regression line corresponding to the expected change in the outcome (on the link basis) given a simultaneous increase in the quantile-based category for all exposures. Works with continuous, binary, and right-censored time-to-event outcomes. Reference: Alexander P. Keil, Jessie P. Buckley, Katie M. OBrien, Kelly K. Ferguson, Shanshan Zhao, and Alexandra J. White (2019) A quantile-based g-computation approach to addressing the effects of exposure mixtures; <doi:10.1289/EHP5838>.
|
2025-04-22 |
|
r-qicharts
|
public |
Functions for making run charts `[Anhoej, Olesen (2014) <doi:10.1371/journal.pone.0113825>]` and basic Shewhart control charts `[Mohammed, Worthington, Woodall (2008) <doi:10.1136/qshc.2004.012047>]` for measure and count data. The main function, qic(), creates run and control charts and has a simple interface with a rich set of options to control data analysis and plotting, including options for automatic data aggregation by subgroups, easy analysis of before-and-after data, exclusion of one or more data points from analysis, and splitting charts into sequential time periods. Missing values and empty subgroups are handled gracefully.
|
2025-04-22 |
|
r-qdap
|
public |
Automates many of the tasks associated with quantitative discourse analysis of transcripts containing discourse including frequency counts of sentence types, words, sentences, turns of talk, syllables and other assorted analysis tasks. The package provides parsing tools for preparing transcript data. Many functions enable the user to aggregate data by any number of grouping variables, providing analysis and seamless integration with other R packages that undertake higher level analysis and visualization of text. This affords the user a more efficient and targeted analysis. 'qdap' is designed for transcript analysis, however, many functions are applicable to other areas of Text Mining/ Natural Language Processing.
|
2025-04-22 |
|
r-pwrss
|
public |
Statistical power and minimum required sample size calculations for (1) testing a proportion (one-sample) against a constant, (2) testing a mean (one-sample) against a constant, (3) testing difference between two proportions (independent samples), (4) testing difference between two means or groups (parametric and non-parametric tests for independent and paired samples), (5) testing a correlation (one-sample) against a constant, (6) testing difference between two correlations (independent samples), (7) testing a single coefficient in multiple linear regression, logistic regression, and Poisson regression (with standardized or unstandardized coefficients, with no covariates or covariate adjusted), (8) testing an indirect effect (with standardized or unstandardized coefficients, with no covariates or covariate adjusted) in the mediation analysis (Sobel, Joint, and Monte Carlo tests), (9) testing an R-squared against zero in linear regression, (10) testing an R-squared difference against zero in hierarchical regression, (11) testing an eta-squared or f-squared (for main and interaction effects) against zero in analysis of variance (could be one-way, two-way, and three-way), (12) testing an eta-squared or f-squared (for main and interaction effects) against zero in analysis of covariance (could be one-way, two-way, and three-way), (13) testing an eta-squared or f-squared (for between, within, and interaction effects) against zero in one-way repeated measures analysis of variance (with non-sphericity correction and repeated measures correlation), and (14) testing goodness-of-fit or independence for contingency tables. Alternative hypothesis can be formulated as "not equal", "less", "greater", "non-inferior", "superior", or "equivalent" in (1), (2), (3), and (4); as "not equal", "less", or "greater" in (5), (6), (7) and (8); but always as "greater" in (9), (10), (11), (12), (13), and (14). Reference: Bulus and Polat (2023) <https://osf.io/ua5fc>.
|
2025-04-22 |
|
r-pwt10
|
public |
The Penn World Table 10.x (<https://www.rug.nl/ggdc/productivity/pwt/>) provides information on relative levels of income, output, input, and productivity for 183 countries between 1950 and 2019.
|
2025-04-22 |
|
r-pubmed.miner
|
public |
Text mining of PubMed Abstracts (text and XML) from <https://pubmed.ncbi.nlm.nih.gov/>.
|
2025-04-22 |
|
r-pubmedr
|
public |
A set of tools to extract bibliographic content from 'PubMed' database using 'NCBI' REST API <https://www.ncbi.nlm.nih.gov/home/develop/api/>.
|
2025-04-22 |
|
r-psyntur
|
public |
Provides functions and data-sets that are helpful for teaching statistics and data analysis. It was originally designed for use when teaching students in the Psychology Department at Nottingham Trent University.
|
2025-04-22 |
|
r-psychotree
|
public |
Recursive partitioning based on psychometric models, employing the general MOB algorithm (from package partykit) to obtain Bradley-Terry trees, Rasch trees, rating scale and partial credit trees, and MPT trees, trees for 1PL, 2PL, 3PL and 4PL models and generalized partial credit models.
|
2025-04-22 |
|
r-psychometric
|
public |
Provides tools useful for measurement theory (Allen & Yen 2001)<ISBN: 157766230X>, meta-analysis (validity-generalization) (Schmidt & Hunter)<doi:10.4135/9781483398105>, reliability, item analysis, inter-rater reliability, classical utility, and correlation analysis (Cohen et. al. 2003)<doi:10.4324/9780203774441>.
|
2025-04-22 |
|
r-psycho
|
public |
The main goal of the psycho package is to provide tools for psychologists, neuropsychologists and neuroscientists, to facilitate and speed up the time spent on data analysis. It aims at supporting best practices and tools to format the output of statistical methods to directly paste them into a manuscript, ensuring statistical reporting standardization and conformity.
|
2025-04-22 |
|
r-proreg
|
public |
Offers a variety of tools, such as specific plots and regression model approaches, for analyzing different patient reported questionnaires. Specially, mixed-effects models based on the beta-binomial distribution are implemented to deal with binomial data with over-dispersion (see Najera-Zuloaga J., Lee D.-J. and Arostegui I. (2018) <doi:10.1177/0962280217690413>).
|
2025-04-22 |
