st4 {corTest} | R Documentation |
Test Differential Correlation Using st4 Method
Description
Compute p-value for the equal correlation test with Spearman corrleaion based on a logistic regression model corresponding to two independent groups
Usage
st4(x1, z1, x0, z0)
Arguments
x1 |
a numeric vector |
z1 |
a numeric vector with same length as |
x0 |
a numeric vector |
z0 |
a numeric vector with same length as |
Value
stat |
Test statistic for testing if correlation between |
p-value |
p-value of test |
signedStat |
Signed test statistic |
Author(s)
Danyang Yu <dyu33@jhu.edu>, Weiliang Qiu <weiliang.qiu@gmail.com>
References
Danyang Yu, Zeyu Zhang, Kimberly Glass, Jessica Su, Dawn L. DeMeo, Kelan Tantisira, Scott T. Weiss, Weiliang Qiu(corresponding author). New Statistical Methods for Constructing Robust Differential Correlation Networks to characterize the interactions among microRNAs. Scientific Reports 9, Article number: 3499 (2019)
Examples
x1 = ghdist(n = 100, g = 0.2, h = 0.2)
x0 = ghdist(n = 100, g = 0.2, h = 0.2)
z1 = x1 + ghdist(n = 100, g = 0.2, h = 0.2)
z0 = x0 + ghdist(n = 100, g = 0.2, h = 0.2)
p = st4(x1, z1, x0, z0)
print(p)