calculate_row_exclusivity_weights: Calculate the weights for the Row-Exclusivity test
In jhrcook/wext: Weighted Exclusivity Test (WExT)
Description
Usage
Arguments
Examples
View source: R/calculate_row_exclusivity_weights.R
Description
The weight for each gene in the Row-Exclusivity test is the
number of samples with a mutation in a gene divided by the number of
samples.
Usage
1
calculate_row_exclusivity_weights(dat, sample_col, mutgene_col)
Arguments
dat
tibble with mutation information
sample_col
column of samples names (quoted)
mutgene_col
column of genes that are mutated (quoted)
Examples
1
2
3
4
library(wext)
calculate_row_exclusivity_weights(dat = simple_dataset,
sample_col = sample_name,
mutgene_col = mutated_gene)
jhrcook/wext documentation built on May 17, 2021, 1:19 a.m.
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Description Usage Arguments Examples
View source: R/calculate_row_exclusivity_weights.R
Description
The weight for each gene in the Row-Exclusivity test is the number of samples with a mutation in a gene divided by the number of samples.
Usage
1 | calculate_row_exclusivity_weights(dat, sample_col, mutgene_col)
|
Arguments
dat |
tibble with mutation information |
sample_col |
column of samples names (quoted) |
mutgene_col |
column of genes that are mutated (quoted) |
Examples
1 2 3 4 | library(wext)
calculate_row_exclusivity_weights(dat = simple_dataset,
sample_col = sample_name,
mutgene_col = mutated_gene)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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