Package: ABACUS 1.0.0
ABACUS: Apps Based Activities for Communicating and Understanding Statistics
A set of Shiny apps for effective communication and understanding in statistics. The current version includes properties of normal distribution, properties of sampling distribution, one-sample z and t tests, two samples independent (unpaired) t test and analysis of variance.
Authors:
ABACUS_1.0.0.tar.gz
ABACUS_1.0.0.zip(r-4.7-any)ABACUS_1.0.0.zip(r-4.6-any)ABACUS_1.0.0.zip(r-4.5-any)
ABACUS_1.0.0.tgz(r-4.6-any)ABACUS_1.0.0.tgz(r-4.5-any)
ABACUS_1.0.0.tar.gz(r-4.7-any)ABACUS_1.0.0.tar.gz(r-4.6-any)
ABACUS_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ABACUS/json (API)
| # Install 'ABACUS' in R: |
| install.packages('ABACUS', repos = c('https://bio-statistics.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bio-statistics/abacus/issues
Last updated from:6f9fd9a2e2. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 120 | ||
| source / vignettes | OK | 162 | ||
| linux-release | OK | 148 | ||
| macos-release | OK | 182 | ||
| macos-oldrel | OK | 202 | ||
| windows-devel | OK | 90 | ||
| windows-release | OK | 89 | ||
| windows-oldrel | OK | 89 | ||
| wasm-release | OK | 92 |
Exports:shiny_anovashiny_dnormshiny_dnorm_dtshiny_onesamptshiny_onesampzshiny_samplingshiny_twosampt
Dependencies:base64encbslibcachemclicommonmarkcpp11digestfarverfastmapfontawesomefsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlifecyclemagrittrmemoisemimeotelpromisesR6rappdirsRColorBrewerRcpprlangS7sassscalesshinysourcetoolsvctrsviridisLitewithrxtable
Last update: 2021-09-14
Started: 2021-09-14
Last update: 2021-09-14
Started: 2021-09-14
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Apps Based Activities for Communicating and Understanding Statistics | ABACUS-package |
| Shiny App to Demonstrate Analysis of Variance | shiny_anova |
| Shiny App to Explore Properties of the Normal Distribution | shiny_dnorm |
| Shiny App to Explore Properties of Normal and Student's t Distributions | shiny_dnorm_dt |
| Shiny App to Demonstrate One-Sample Student's t-Test | shiny_onesampt |
| Shiny App to Demonstrate One-Sample Z-Test | shiny_onesampz |
| Shiny App to Explore Properties of Sampling Distributions | shiny_sampling |
| Shiny App to Demonstrate Two-Sample Independent (Unpaired) Student's t-Test | shiny_twosampt |
