Description Usage Arguments Value Author(s) References Examples
Parallel Version of 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. |
n.core |
the number of cores to be used. |
type |
choose the cluster type. "SOCK","MPI","PVM"or "NWS". Default is "SOCK". More detail information, see ?clusterMap in "parllel" and/or "snow" package. |
seed |
seed for random number generator assigned for each cluster. Default is c(100,200,300,400) assuming n.core=4. |
result of d3m in the list format, including p-value, test statistics, data of cases, data of control. Each element of list correponds to result from each core.
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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