eval_anova: Evaluates data from ANOVA do_anova() for significant proteins
In nicohuttmann/pOmics: Framework for proteomics data analysis
eval_anova R Documentation
Evaluates data from ANOVA do_anova() for significant proteins
Description
Evaluates data from ANOVA do_anova() for significant proteins
Usage
eval_anova(
data_,
anova.pvalueCutoff = 0.05,
anova.pAdjustMethod = "BH",
tukey.pvalueCutoff = 0.05,
tukey.pAdjustMethod = "BH",
fcThreshold = 0.5
)
Arguments
data_
data list
anova.pvalueCutoff
threshold for ANOVA p-values
anova.pAdjustMethod
method to adjust ANOVA p-values
tukey.pvalueCutoff
threshold for Tukey p-values
tukey.pAdjustMethod
method to adjust Tukey p-values
fcThreshold
absolute fold-change threshold
nicohuttmann/pOmics documentation built on Sept. 21, 2022, 9:28 a.m.
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| eval_anova | R Documentation |
Evaluates data from ANOVA do_anova() for significant proteins
Description
Evaluates data from ANOVA do_anova() for significant proteins
Usage
eval_anova( data_, anova.pvalueCutoff = 0.05, anova.pAdjustMethod = "BH", tukey.pvalueCutoff = 0.05, tukey.pAdjustMethod = "BH", fcThreshold = 0.5 )
Arguments
data_ |
data list |
anova.pvalueCutoff |
threshold for ANOVA p-values |
anova.pAdjustMethod |
method to adjust ANOVA p-values |
tukey.pvalueCutoff |
threshold for Tukey p-values |
tukey.pAdjustMethod |
method to adjust Tukey p-values |
fcThreshold |
absolute fold-change threshold |
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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