Package: exams.forge.data 0.1.0

exams.forge.data: Precomputed Dataset Collection Used in 'exams.forge'

The dataset collection supports Pearson correlation and linear regression analysis, with datasets for n=100,200,400,800,1000, where n is the sum of squared values in x. Each dataset has x values summing to zero, with sample sizes (observations in x) ranging from 2 to 10. Additional data frames include variables with German names and measurement levels, and distribution details with R function names, LaTeX names, discreteness, and package origins.

Authors:Sigbert Klinke [aut, cre]

exams.forge.data_0.1.0.tar.gz
exams.forge.data_0.1.0.zip(r-4.5)exams.forge.data_0.1.0.zip(r-4.4)exams.forge.data_0.1.0.zip(r-4.3)
exams.forge.data_0.1.0.tgz(r-4.4-any)exams.forge.data_0.1.0.tgz(r-4.3-any)
exams.forge.data_0.1.0.tar.gz(r-4.5-noble)exams.forge.data_0.1.0.tar.gz(r-4.4-noble)
exams.forge.data_0.1.0.tgz(r-4.4-emscripten)exams.forge.data_0.1.0.tgz(r-4.3-emscripten)
exams.forge.data.pdf |exams.forge.data.html
exams.forge.data/json (API)

# Install 'exams.forge.data' in R:
install.packages('exams.forge.data', repos = c('https://sigbertklinke.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/sigbertklinke/exams.forge.data/issues

Datasets:

On CRAN:

2.70 score 0 exports 0 dependencies

Last updated 10 days agofrom:fc697b011b. Checks:1 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 11 2025
R-4.5-winNOTEJan 11 2025
R-4.5-linuxNOTEJan 11 2025
R-4.4-winNOTEJan 11 2025
R-4.4-macNOTEJan 11 2025
R-4.3-winNOTEJan 11 2025
R-4.3-macNOTEJan 11 2025

Exports:

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Distributionsdistributions
Skalenniveauskalenniveau
Precomputed Sum of Squared Datasos100 sos1000 sos200 sos400 sos800