compute.selection.table: Applies an FDR threshold on a table of adjusted p-values and...
In prostarproteomics/DAPAR: Tools for the Differential Analysis of Proteins Abundance with R
View source: R/anova_analysis.R
compute.selection.table R Documentation
Applies an FDR threshold on a table of adjusted p-values and summarizes the results
Description
Applies an FDR threshold on a table of adjusted p-values and summarizes the results
Usage
compute.selection.table(x, fdr.threshold)
Arguments
x
a table of adjusted p-values
fdr.threshold
an FDR threshold
Value
a summary of the number of significantly differentially abundant proteins, overall and per contrast
Author(s)
Thomas Burger
Examples
data(Exp1_R25_prot, package='DAPARdata')
exdata <- Exp1_R25_prot[1:5,]
adjpvaltab <- globalAdjPval(testAnovaModels(applyAnovasOnProteins(exdata), "TukeyHSD")$P_Value)
seltab <- compute.selection.table(adjpvaltab, 0.2)
seltab
prostarproteomics/DAPAR documentation built on March 28, 2024, 4:44 a.m.
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View source: R/anova_analysis.R
| compute.selection.table | R Documentation |
Applies an FDR threshold on a table of adjusted p-values and summarizes the results
Description
Applies an FDR threshold on a table of adjusted p-values and summarizes the results
Usage
compute.selection.table(x, fdr.threshold)
Arguments
x |
a table of adjusted p-values |
fdr.threshold |
an FDR threshold |
Value
a summary of the number of significantly differentially abundant proteins, overall and per contrast
Author(s)
Thomas Burger
Examples
data(Exp1_R25_prot, package='DAPARdata')
exdata <- Exp1_R25_prot[1:5,]
adjpvaltab <- globalAdjPval(testAnovaModels(applyAnovasOnProteins(exdata), "TukeyHSD")$P_Value)
seltab <- compute.selection.table(adjpvaltab, 0.2)
seltab
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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