Package: iNZightMR 2.3.0
iNZightMR: Tools for Exploring Multiple Response Data
Interaction and analysis of multiple response data, along with other tools for analysing these types of data including missing value analysis and calculation of standard errors for a range of covariance matrix results (proportions, multinomial, independent samples, and multiple response).
Authors:
iNZightMR_2.3.0.tar.gz
iNZightMR_2.3.0.zip(r-4.5)iNZightMR_2.3.0.zip(r-4.4)iNZightMR_2.3.0.zip(r-4.3)
iNZightMR_2.3.0.tgz(r-4.4-any)iNZightMR_2.3.0.tgz(r-4.3-any)
iNZightMR_2.3.0.tar.gz(r-4.5-noble)iNZightMR_2.3.0.tar.gz(r-4.4-noble)
iNZightMR_2.3.0.tgz(r-4.4-emscripten)iNZightMR_2.3.0.tgz(r-4.3-emscripten)
iNZightMR.pdf |iNZightMR.html✨
iNZightMR/json (API)
# Install 'iNZightMR' in R: |
install.packages('iNZightMR', repos = c('https://inzightvit.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/inzightvit/inzightmr/issues
- census.at.school.5000 - Census at School 5000
Last updated 6 months agofrom:6839b72955. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | OK | Oct 31 2024 |
R-4.5-linux | OK | Oct 31 2024 |
R-4.4-win | OK | Oct 31 2024 |
R-4.4-mac | OK | Oct 31 2024 |
R-4.3-win | OK | Oct 31 2024 |
R-4.3-mac | OK | Oct 31 2024 |
Exports:barplotMRbetweenbyMROcalcmissingiNZightMRmoecalcmroParaplotcombnseBinpropsseCovsseIndepSesseMNpropsseMRpropssubstrsplit
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
iNZightMR: Multiple Response Data Analysis | iNZightMR-package |
Multiple response barplot | barplotMR barplotMR.b2 barplotMR.between barplotMR.bymrocalc barplotMR.mrocalc |
Compute Between se's | between |
Calculate MRO inference for subsets | byMRO |
Calculate missing observation summary | calcmissing calcmissing.data.frame calcmissing.mro |
Census at School 5000 | census.at.school.5000 |
Create iNZightMR multiple response object (MRO) | iNZightMR |
Margin of Error Calculation | moecalc |
Calculate MRO inference | mroPara |
Missing Value plot | plotcombn |
Independent Binomial Proportions | seBinprops |
Compute standard error for covariance matrix | seCovs |
Independent Standard errors given | seIndepSes |
Compute SE for Multinomial proportions | seMNprops |
Multiple binary response | seMRprops |
Extract Common Name from variables | substrsplit |