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corTest (version 1.0.7)

Robust Tests for Equal Correlation

Description

There are 6 novel robust tests for equal correlation. They are all based on logistic regressions. The score statistic U is proportion to difference of two correlations based on different types of correlation in 6 methods. The ST1() is based on Pearson correlation. ST2() improved ST1() by using median absolute deviation. ST3() utilized type M correlation and ST4() used Spearman correlation. ST5() and ST6() used two different ways to combine ST3() and ST4(). We highly recommend ST5() according to the article titled ''New Statistical Methods for Constructing Robust Differential Correlation Networks to characterize the interactions among microRNAs'' published in Scientific Reports. Please see the reference: Yu et al. (2019) .

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Version

Install

install.packages('corTest')

Monthly Downloads

254

Version

1.0.7

License

GPL (>= 2)

Maintainer

Danyang Yu

Last Published

September 25th, 2020

Functions in corTest (1.0.7)

plotDiffCor

Scatter Plot of 2 Genes for Cases and Controls
ghdist

generating varibles from g-and-h distribution
st2

Test Differential Correlation Using st2 Method
genEset

Generate an ExpressionSet Object
st6

Test Differential Correlation Using st6 Method
st4

Test Differential Correlation Using st4 Method
st5

Test Differential Correlation Using st5 Method
st3

Test Differential Correlation Using st3 Method
es

A BioConductor ExpressionSet Object Storing Gene Expression Data
construct_network

Construct Differential Correlation Network
st1

Test Differential Correlation Using st1 Method
fisher_transfer_test

Test for equal correlation
generate_data

Generate Data for Control Subjects and Case Subjects