Package: ssize 1.79.0
Gregory R. Warnes
ssize: Estimate Microarray Sample Size
Functions for computing and displaying sample size information for gene expression arrays.
Authors:
ssize_1.79.0.tar.gz
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ssize_1.79.0.tgz(r-4.4-any)ssize_1.79.0.tgz(r-4.3-any)
ssize_1.79.0.tar.gz(r-4.5-noble)ssize_1.79.0.tar.gz(r-4.4-noble)
ssize_1.79.0.tgz(r-4.4-emscripten)ssize_1.79.0.tgz(r-4.3-emscripten)
ssize.pdf |ssize.html✨
ssize/json (API)
| # Install 'ssize' in R: |
| install.packages('ssize', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- exp.sd - Example baseline variability for gene expression experiment
On BioConductor:ssize-1.79.0(bioc 3.20)ssize-1.78.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:f909dcd9c3
Exports:deltadelta.plotpowpower.plotpower.t.test.FDRssizessize.plot
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Example baseline variability for gene expression experiment | exp.sd |
| Compute and plot power, reqired sample-size, or detectible effect size for gene expression experiment | delta delta.plot pow power.plot ssize ssize.plot |
| Power calculations for one and two sample t tests using FDR correction | power.t.test.FDR |