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:Mintu Nath [aut, cre]

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

On CRAN:

Conda:

5.00 score 1 scripts 454 downloads 58 mentions 7 exports 41 dependencies

Last updated from:6f9fd9a2e2. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK120
source / vignettesOK162
linux-releaseOK148
macos-releaseOK182
macos-oldrelOK202
windows-develOK90
windows-releaseOK89
windows-oldrelOK89
wasm-releaseOK92

Exports:shiny_anovashiny_dnormshiny_dnorm_dtshiny_onesamptshiny_onesampzshiny_samplingshiny_twosampt

Dependencies:base64encbslibcachemclicommonmarkcpp11digestfarverfastmapfontawesomefsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlifecyclemagrittrmemoisemimeotelpromisesR6rappdirsRColorBrewerRcpprlangS7sassscalesshinysourcetoolsvctrsviridisLitewithrxtable

ABACUS Activities
ABACUS | Normal Distribution | Intended Learning Outcomes | Activity | Activity 1 | Activity 2 | Activity 3 | Activity 4 | Activity 5 | Activity 6 | Activity 7 | Activity 8 | Sampling Distributions | Hypothesis Testing: One-Sample Z-Test | Hypothesis Testing: One-Sample Student's t-Test | Hypothesis Testing: Two-Sample Independent (Unpaired) t-Test | Hypothesis Testing: One-way Analysis of Variance

Last update: 2021-09-14
Started: 2021-09-14

Using ABACUS
Main Features | A Quick Start Guide to ABACUS | Option 1: Replicable simulation given a seed value | Option 2: Non-replicable instant simulation | INPUTS | Simulation Features | App-specific Inputs | Normal Distribution | Sampling Distribution | Hypothesis Testing: One-Sample Z-Test | Hypothesis Testing: One-Sample Student's t-Test | Hypothesis Testing: Two-Sample Independent (Unpaired) t-Test | Hypothesis Testing: One-way Analysis of Variance | OUTPUTS | App-specific Outputs

Last update: 2021-09-14
Started: 2021-09-14