🔗 R datasets
A list of over 1,000 datasets available in R packages, curated by @VincentAB (via @mf_viz) #rstats
A list of over 1,000 datasets available in R packages, curated by @VincentAB (via @mf_viz) #rstats
Meta-analysis of proportions is observational and non-comparative in nature. Rarely have we seen a study or tutorial demonstrate how a meta-analysis of proportions should be performed using the R programming language.
jamovi is a new “3rd generation” statistical spreadsheet. designed from the ground up to be easy to use, jamovi is a compelling alternative to costly statistical products such as SPSS and SAS.
If you’re not planning a long-term career in academia and you only anticipate performing common statistical tests,…
"This course provides an overview of skills needed for reproducible research and open science using the statistical programming language R. Students will learn about data visualisation, data tidying and wrangling, archiving, iteration and functions, probability and data simulations, general linear models, and reproducible workflows. Learning is reinforced through weekly assignments that involve working with different types of data."
how to use the R statistical software to carry out some simple analyses that are common in analysing time series data
R Language Tutorials for Data Analysis
This post is a brief follow-up to a question that appeared some time ago on the “The R Project for Statistical Computing” LinkedIn group, which I’m reporting here: How can I draw a map of MODERN Europe? Hi, I'm trying … Continue reading →
In the first of a three-part series, R is a rich statistical environment, released as free software.
This is a package that allows R to be used as a plugin for Gnumeric, the Gnome spreadsheet application
RKWard is a transparent frontend to the R programming language.