Description Usage Arguments Value Author(s) References Examples
Two sample test for empirical copula.
1 |
x1 |
Numeric matrix. Samples in row and variables in column |
x2 |
Numeric matrix. The same with x1. |
nperm |
The number of permutation. |
approx |
Logical. If 'approx=TRUE', p-value will be approximated using generalized Parato distribution. Otherwise, no approximation of p-value. |
List of three components:
pval - p-value
stat - test statistics based on Cramér–von Mises test statistic
null - null distribution from randomization procedure
Yusuke MATSUI
Yusuke MATSUI et al.(2020) RoDiCE: Robust differential protein co-expression analysis for cancer complexome (submitted).
Clerk DJ et al.(2019) Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma.Cell;179(4),964-983 e931.
1 2 3 4 5 6 7 8 | data(ccrcc.pbaf) # example data from clear renal cell carcinoma(clerk et al.2019)
data(corum.hsp.pbaf)
tumor = ccrcc.pbaf$tumor # 110 samples and 10 proteins from PBAF complex
normal = ccrcc.pbaf$normal # 84 samples and 10 proteins from PBAF complex
# multivariate copula test(more than three variables)
result = coptest(tumor,normal,nperm=100,approx=FALSE)
result$pval
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