Description Usage Arguments Details Value Author(s) References Examples
View source: R/repeated_high_dim.R
Calculation of test statistic
1 | TestStatSimple(Y, H)
|
Y |
Matrix with differences of paires. Rows represent features (e.g. genes, proteins,...), columns represent samples. |
H |
Hypothesis matrix. |
Calculates the test statistic for RepeatedHighDim in the case of paired samples.
A list containing the following items:
Indicates whether the paired or unpaired case was tested.
Number of features.
Number of samples in group 1.
Number of samples in group 2.
Test statistic.
First degree of freedoms.
Second degree of freedom.
p-value.
Klaus Jung
Brunner, E (2009) Repeated measures under non-sphericity. Proceedings of the 6th St. Petersburg Workshop on Simulation, 605-609.
Jung K, Becker B, Brunner B and Beissbarth T (2011) Comparison of Global Tests for Functional Gene Sets in Two-Group Designs and Selection of Potentially Effect-causing Genes. Bioinformatics, 27: 1377-1383.
Jung K, Dihazi H, Bibi A, Dihazi GH and Beissbarth T (2014): Adaption of the Global Test Idea to Proteomics Data with Missing Values. Bioinformatics, 30, 1424-30.
Kruppa J, Kramer K, Beissbarth T and Jung K (2016): A simulation framework for correlated count data of feature subsets in high-throughput sequencing or proteomics experiments. Statistical Applications in Genetics and Molecular Biology, 15, 401-414
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