test_corrplot.R
In DaMiRseq: Data Mining for RNA-seq data: normalization, feature selection and classification

#sample dataset
data(data_norm)
data(sv)
df <- colData(data_norm)
DaMiR.corrplot(sv, df, type="pearson", sig.level=0.0001)

#expected error
expect_error(DaMiR.corrplot())
expect_error(DaMiR.corrplot(sv))
expect_error(DaMiR.corrplot("sv"))
expect_error(DaMiR.corrplot(sv, df, type="foo"))
expect_error(DaMiR.corrplot(sv, sig.level="character"))

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DaMiRseq documentation built on Nov. 8, 2020, 5:53 p.m.

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DaMiRseq
Data Mining for RNA-seq data: normalization, feature selection and classification

tests/testthat/test_corrplot.R
In DaMiRseq: Data Mining for RNA-seq data: normalization, feature selection and classification

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DaMiRseq Data Mining for RNA-seq data: normalization, feature selection and classification

tests/testthat/test_corrplot.R In DaMiRseq: Data Mining for RNA-seq data: normalization, feature selection and classification

Try the DaMiRseq package in your browser

R Package Documentation

Browse R Packages

We want your feedback!

DaMiRseq
Data Mining for RNA-seq data: normalization, feature selection and classification

tests/testthat/test_corrplot.R
In DaMiRseq: Data Mining for RNA-seq data: normalization, feature selection and classification