Package: WSCdata 0.1.1.9000

WSCdata: A New Four-Arm Within-Study Comparison Data on Math and Vocabulary Training

This dataset was collected using a new four-arm within-study comparison design. The study aimed to examine the impact of a mathematics training intervention and a vocabulary study session on post-test scores in mathematics and vocabulary, respectively. The innovative four-arm within-study comparison design facilitates both experimental and quasi-experimental identification of average causal effects.

Authors:Bryan Keller [aut, cph], Sangbaek Park [aut, ctb], Jingru Zhang [aut, cre]

WSCdata_0.1.1.9000.tar.gz
WSCdata_0.1.1.9000.zip(r-4.7-any)WSCdata_0.1.1.9000.zip(r-4.6-any)WSCdata_0.1.1.9000.zip(r-4.5-any)
WSCdata_0.1.1.9000.tgz(r-4.6-any)WSCdata_0.1.1.9000.tgz(r-4.5-any)
WSCdata_0.1.1.9000.tar.gz(r-4.7-any)WSCdata_0.1.1.9000.tar.gz(r-4.6-any)
WSCdata_0.1.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
WSCdata/json (API)

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

Bug tracker:https://github.com/jzangela/wscdata/issues

Datasets:

On CRAN:

Conda:

3.00 score 3 scripts 218 downloads 0 exports 0 dependencies

Last updated from:6360a52475. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK124
source / vignettesOK162
linux-releaseOK146
macos-releaseOK189
macos-oldrelOK241
windows-develOK56
windows-releaseOK64
windows-oldrelOK63
wasm-releaseOK91

Exports:

Dependencies: