lm_summary: Model summary
In qzhang503/proteoQ: Processing and Informatic Analysis of Mass Spectrometrirc Data
lm_summary R Documentation
Model summary
Description
Model summary
Usage
lm_summary(pvals, log2rs, pval_cutoff, logFC_cutoff, padj_method = "BH")
Arguments
pvals
A data frame of pVal
log2rs
A data frame of log2FC
pval_cutoff
Numeric; the cut-off in significance pVal. Entries
with pVals smaller than the threshold will be excluded from multiple
test corrections. The default is at 1 to include all entries.
logFC_cutoff
Numeric; the cut-off in log2FC. Entries with
absolute log2FC smaller than the threshold will be removed from
multiple test corrections. The default is at log2(1) to include all
entries.
padj_method
Character string; the method of multiple-test corrections
for uses with p.adjust. The default is "BH". See
?p.adjust.methods for additional choices.
qzhang503/proteoQ documentation built on Dec. 14, 2024, 12:27 p.m.
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| lm_summary | R Documentation |
Model summary
Description
Model summary
Usage
lm_summary(pvals, log2rs, pval_cutoff, logFC_cutoff, padj_method = "BH")
Arguments
pvals |
A data frame of pVal |
log2rs |
A data frame of log2FC |
pval_cutoff |
Numeric; the cut-off in significance |
logFC_cutoff |
Numeric; the cut-off in |
padj_method |
Character string; the method of multiple-test corrections for uses with p.adjust. The default is "BH". See ?p.adjust.methods for additional choices. |
R Package Documentation
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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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