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selfea (version 1.0.1)

Select Features Reliably with Cohen's Effect Sizes

Description

Functions using Cohen's effect sizes (Cohen, Jacob. Statistical power analysis for the behavioral sciences. Academic press, 2013) are provided for reliable feature selection in biology data analysis. In addition to Cohen's effect sizes, p-values are calculated and adjusted from quasi-Poisson GLM, negative binomial GLM and Normal distribution ANOVA. Significant features (genes, RNAs or proteins) are selected by adjusted p-value and minimum Cohen's effect sizes, calculated to keep certain level of statistical power of biology data analysis given p-value threshold and sample size.

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Version

Install

install.packages('selfea')

Monthly Downloads

28

Version

1.0.1

License

GPL-2

Maintainer

Lang Ho Lee

Last Published

June 22nd, 2015

Functions in selfea (1.0.1)

ttest_cohens_d

ttest_cohens_d
example_data

Gregori Data: Yeast lisate samples spiked with human proteins
example_group

Yeast lisate samples spiked with human proteins
example_data2

Gregori Data: Yeast lisate samples spiked with human proteins
example_data1

Gregori Data: Yeast lisate samples spiked with human proteins
selfea-package

Selfea: R package for reliable feature selection using Cohen's effect sizes
draw_scatter_plots

draw_scatter_plots
top_table

top_table
calculate_cohen_f2

calculate_cohen_f2
get_statistics_from_file

get_statistics_from_file
glm_anova

glm_anova
get_statistics_from_dataFrame

get_statistics_from_dataFrame