The standardize package | Continuous variables | Factors | Unordered factors | Ordered factors | The standardize function | Using the standardized object | Fitting a regression | Predicting new data | Obtaining p-values with mixed | Obtaining estimated marginal means with emmeans | Conclusion | References
Package: standardize 0.2.2-9999
standardize: Tools for Standardizing Variables for Regression in R
Tools which allow regression variables to be placed on similar scales, offering computational benefits as well as easing interpretation of regression output.
Authors:
standardize_0.2.2-9999.tar.gz
standardize_0.2.2-9999.zip(r-4.7)standardize_0.2.2-9999.zip(r-4.6)standardize_0.2.2-9999.zip(r-4.5)
standardize_0.2.2-9999.tgz(r-4.6-any)standardize_0.2.2-9999.tgz(r-4.5-any)
standardize_0.2.2-9999.tar.gz(r-4.7-any)standardize_0.2.2-9999.tar.gz(r-4.6-any)
standardize_0.2.2-9999.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
standardize/json (API)
| # Install 'standardize' in R: |
| install.packages('standardize', repos = c('https://cdeager.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cdeager/standardize/issues
Datasets:
- ptk - Duration and voicing measures of voiceless plosives in Spanish
Last updated from:b687af2aa0. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 183 | ||
| source / vignettes | OK | 207 | ||
| linux-release-x86_64 | NOTE | 209 | ||
| macos-release-arm64 | NOTE | 202 | ||
| macos-oldrel-arm64 | NOTE | 175 | ||
| windows-devel | NOTE | 194 | ||
| windows-release | NOTE | 141 | ||
| windows-oldrel | NOTE | 135 | ||
| wasm-release | OK | 128 |
Exports:fac_and_contris.standardizednamed_contr_sumscale_byscaled_contr_polystandardizestandardize.news
Dependencies:bootcligluelatticelifecyclelme4magrittrMASSMatrixminqanlmenloptrrbibutilsRcppRcppEigenRdpackreformulasrlangstringistringrvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| standardize: Tools for Standardizing Variables for Regression in R. | standardize-package |
| Create a factor and specify contrasts. | fac_and_contr |
| Determine if an object has class 'standardized'. | is.standardized |
| S3 'makepredictcall' method for class 'scaledby'. | makepredictcall.scaledby |
| Create named sum contrasts for an unordered factor. | named_contr_sum |
| Place new data into an already existing standardized space. | predict.standardized |
| S3 'print' method for class 'standardized'. | print.standardized |
| Duration and voicing measures of voiceless plosives in Spanish | ptk |
| Center and scale a continuous variable conditioning on factors. | scale_by |
| Create scaled orthogonal polynomial contrasts for an ordered factor. | scaled_contr_poly |
| Standardize a formula and data frame for regression. | standardize |
| Print the version history of the 'standardize' package. | standardize.news |
| Class 'standardized' containing regression variables in a standardized space. | standardized-class |
