Two Sample Test with Distribution-Valued Data
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cases |
name of case group data (matrix) |
control |
names of control group data (matrix) |
rm.mean |
standarize each rows of cases and control to mean=0. |
rm.var |
standarize each rows of cases and control to var=1. |
paranum |
the number of quatile discretization + 1. Default is discretized by 1 %. |
q |
power of Wasserstein metric. Default is q = 2. |
bsn |
the number of resampling. Default is bsn = 5000. |
seed |
seed for random number generator. |
this function is designed for two sample test based on Wasserstein metric. The function computes the the p-values based Wasserstein metric and resampling method. If rm.mean=F and rm.var=F, then statistical test is performed only based on more than 3rd order moments.
pval p-value.
test.stat test statistic.
cases case group data used in the statistical test.
control control group data used in the statistical test.
Yusuke Matsui & Teppei Shimamura
Yusuke Matsui, Masahiro Mizuta, Satoru Miyano and Teppei Shimamura.(2015) D3M:Detection of differential distributions of methylation patterns (submitted). BIORXIV/2015/023879.
Antonio Irpino and Rossanna Verde.(2015) Basic Statistics for distributional symbolic variables: a new metric-based approach. Adv.Data.Anal.Classif(9) 143–175
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