histPValue_HC: Plots a histogram ov p-values
In prostarproteomics/DAPAR: Tools for the Differential Analysis of Proteins Abundance with R
histPValue_HC R Documentation
Plots a histogram ov p-values
Description
Plots a histogram ov p-values
Usage
histPValue_HC(pval_ll, bins = 80, pi0 = 1)
Arguments
pval_ll
xxx
bins
xxx
pi0
xxx
Value
A plot
Author(s)
Samuel Wieczorek
Examples
data(Exp1_R25_prot, package="DAPARdata")
obj <- Exp1_R25_prot[seq_len(100)]
level <- 'protein'
metacell.mask <- match.metacell(GetMetacell(obj), c("Missing POV", "Missing MEC"), level)
indices <- GetIndices_WholeMatrix(metacell.mask, op = ">=", th = 1)
obj <- MetaCellFiltering(obj, indices, cmd = "delete")
qData <- Biobase::exprs(obj$new)
sTab <- Biobase::pData(obj$new)
allComp <- limmaCompleteTest(qData, sTab)
histPValue_HC(allComp$P_Value[1])
prostarproteomics/DAPAR documentation built on Nov. 26, 2024, 6:32 p.m.
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| histPValue_HC | R Documentation |
Plots a histogram ov p-values
Description
Plots a histogram ov p-values
Usage
histPValue_HC(pval_ll, bins = 80, pi0 = 1)
Arguments
pval_ll |
xxx |
bins |
xxx |
pi0 |
xxx |
Value
A plot
Author(s)
Samuel Wieczorek
Examples
data(Exp1_R25_prot, package="DAPARdata")
obj <- Exp1_R25_prot[seq_len(100)]
level <- 'protein'
metacell.mask <- match.metacell(GetMetacell(obj), c("Missing POV", "Missing MEC"), level)
indices <- GetIndices_WholeMatrix(metacell.mask, op = ">=", th = 1)
obj <- MetaCellFiltering(obj, indices, cmd = "delete")
qData <- Biobase::exprs(obj$new)
sTab <- Biobase::pData(obj$new)
allComp <- limmaCompleteTest(qData, sTab)
histPValue_HC(allComp$P_Value[1])
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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