tidy_glm_mv: Fit all genes to a general linear model
In emartchenko/mvsimstudy: Multivariate Correlated Data Simulation Tools
Description
Usage
Arguments
Value
See Also
Description
An internal function. Called by analyze when "mv_glm" argument
is passed.
Usage
1
tidy_glm_mv(p_adjust = NULL, data_tibble)
Arguments
p_adjust
p value adjustment argument, used to call p.adjust Default: NULL
data_tibble
The data to be analyzed
Value
Returns a dataframe with many columns that are not used in the
summarization step (such as estimate, std.error, statistic, p.value). Main
columns of importance are reps, term, and selected. The "mv_glm" argument
allows a model p.value to be calculated as well.
See Also
emartchenko/mvsimstudy documentation built on May 24, 2019, 5:04 a.m.
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Description Usage Arguments Value See Also
Description
An internal function. Called by analyze when "mv_glm" argument is passed.
Usage
1 | tidy_glm_mv(p_adjust = NULL, data_tibble)
|
Arguments
p_adjust |
p value adjustment argument, used to call p.adjust Default: NULL |
data_tibble |
The data to be analyzed |
Value
Returns a dataframe with many columns that are not used in the summarization step (such as estimate, std.error, statistic, p.value). Main columns of importance are reps, term, and selected. The "mv_glm" argument allows a model p.value to be calculated as well.
See Also
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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