Package: Pstat 1.2
Blondeau Da Silva Stephane
Pstat: Assessing Pst Statistics
Calculating Pst values to assess differentiation among populations from a set of quantitative traits is the primary purpose of such a package. The bootstrap method provides confidence intervals and distribution histograms of Pst. Variations of Pst in function of the parameter c/h^2 are studied as well. Finally, the package proposes different transformations especially to eliminate any variation resulting from allometric growth (calculation of residuals from linear regressions, Reist standardizations or Aitchison transformation).
Authors:
Pstat_1.2.tar.gz
Pstat_1.2.tar.gz(r-4.5-noble)Pstat_1.2.tar.gz(r-4.4-noble)
Pstat_1.2.tgz(r-4.4-emscripten)Pstat_1.2.tgz(r-4.3-emscripten)
Pstat.pdf |Pstat.html✨
Pstat/json (API)
| # Install 'Pstat' in R: |
| install.packages('Pstat', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- test - Example of a data frame
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:92bf128606. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 18 2024 |
| R-4.5-linux | OK | Dec 18 2024 |
Exports:AitTransBootPstPstReistTransResTracePst
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Assessing Pst Statistics | Pstat-package Pstat |
| Aitchison transformation | AitTrans |
| Bootstrap method | BootPst |
| Pst values and Pst confidence intervals | Pst |
| Reist standardization | ReistTrans |
| Residuals from a linear regression | Res |
| Example of a data frame | test |
| Pst variations in function of c/h^2 | TracePst |