
The R Project for Statistical Computing
Oct 31, 2025 · The R Project for Statistical Computing Getting Started R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, …
R: What is R? - The R Project for Statistical Computing
The R environment R is an integrated suite of software facilities for data manipulation, calculation and graphical display. It includes an effective data handling and storage facility, a suite of operators for …
Welcome to RQDA Project
RDQA is a R package for Qualitative Data Analysis, a free (free as freedom) qualitative analysis software application (BSD license). It works on Windows, Linux/ FreeBSD and Mac OSX platforms. …
The term “environment” is intended to characterize it as a fully planned and coherent system, rather than an incremental accretion of very specific and inflexible tools, as is frequently the case with other data …
An Introduction to R
an effective data handling and storage facility, a suite of operators for calculations on arrays, in particular matrices, a large, coherent, integrated collection of intermediate tools for data analysis, graphical …
With the help of the R system for statistical computing, research really becomes reproducible when both the data and the results of all data analysis steps reported in a paper are available to the readers …
CRAN Task View: Analysis of Pharmacokinetic Data
Analysis of pharmacokinetic (PK) data is concerned with defining the relationship between the dosing regimen and the body’s exposure to drug as indicated by the concentration time curve to determine a …
These notes are designed to allow individuals who have a basic grounding in statistical methodology to work through examples that demonstrate the use of R for a range of types of data manipulation, …
Download R-4.5.2 for Windows. The R-project for statistical computing.
Frequently asked questions Does R run under my version of Windows? How do I update packages in my previous version of R?
The RHRV project
The book discusses all the basic HRV topics, including the physiological contributions to HRV, clinical applications, HRV data acquisition, HRV data manipulation and HRV analysis using time-domain, …