Introduction | Loading the package and data | Descriptive Statistics | Average evaluation score | Average beauty rating | Group Comparisons | Score difference by gender | Beauty rating by gender | Proportions and Categorical Comparisons | Proportion of highly-rated professors | Contingency table: Beauty and evaluation | Regression Analysis | Simple regression: Beauty and evaluation | Multiple regression: Controlling for characteristics | Full model | Subgroup Analyses | Effect of beauty by class level | Differential effect by gender | Custom Confidence Intervals | Complementary Visualizations | Interpretation and Conclusions | IPAG Package Design Principles | References | Going Further
Package: IPAG 0.1.0
IPAG: Tools for IPAG Courses
Provides a collection of intuitive and user-friendly functions for computing confidence intervals for common statistical tasks, including means, differences in means, proportions, and odds ratios. The package also includes tools for linear regression analysis and several real-world datasets intended for teaching and applied statistical inference.
Authors:
IPAG_0.1.0.tar.gz
IPAG_0.1.0.zip(r-4.7-any)IPAG_0.1.0.zip(r-4.6-any)IPAG_0.1.0.zip(r-4.5-any)
IPAG_0.1.0.tgz(r-4.6-any)IPAG_0.1.0.tgz(r-4.5-any)
IPAG_0.1.0.tar.gz(r-4.7-any)IPAG_0.1.0.tar.gz(r-4.6-any)
IPAG_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
IPAG/json (API)
| # Install 'IPAG' in R: |
| install.packages('IPAG', repos = c('https://gpiaser.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gpiaser/ipag/issues
Datasets:
Last updated from:fac402e2fe. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 114 | ||
| source / vignettes | OK | 205 | ||
| linux-release-x86_64 | OK | 109 | ||
| macos-release-arm64 | OK | 171 | ||
| macos-oldrel-arm64 | OK | 129 | ||
| windows-devel | OK | 83 | ||
| windows-release | OK | 61 | ||
| windows-oldrel | OK | 60 | ||
| wasm-release | OK | 122 |
Exports:linear_regressmean_cimean_diff_cioddsratio_ciprop_ci
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Beauty and teaching evaluations | Beauty |
| My dataset from CSV | Bosnia |
| Content Marketing Dataset | ContentMarketing |
| My dataset from CSV | covid19 |
| Hedonic housing prices and environmental quality | Housing |
| Linear regression summary | linear_regress |
| McKinsey / OECD Education Dataset | McKinsey |
| Confidence interval for a mean | mean_ci |
| Confidence interval for the difference of means | mean_diff_ci |
| Confidence interval for odds ratio from a 2x2 table | oddsratio_ci |
| Confidence interval for a proportion | prop_ci |
