tpptrFTest {TPP} | R Documentation |
Analyze fitted natural spline models and look for differential behaviour between conditions by a moderated F-test.
tpptrFTest(fittedModels, doPlot = FALSE, resultPath = NULL)
fittedModels |
a table of fitted spline models (produced by |
doPlot |
boolean value indicating whether QC plots should be produced. Currently, QC plots comprise distributions of the F statistics, and the p-values before/ after Benjamini Hochberg adjustment. |
resultPath |
location where to store QC plots, if |
If doPlot
is TRUE
, but no resultPath
is
specified, the plots will be prompted to the active device.
The moderated F-statistic is calculated by the following equation: ...
A long table containing the hypothesis test results per protein.
data(hdacTR_smallExample) tpptrData <- tpptrImport(configTable = hdacTR_config, data = hdacTR_data) normResults <- tpptrNormalize(data = tpptrData, normReqs = tpptrDefaultNormReqs()) normData_eSets <- normResults$normData fitData <- tpptrTidyUpESets(normData_eSets) fits <- tpptrFitSplines(data = fitData, factorsH1 = "condition", nCores = 1, splineDF = 4:5) testResults <- tpptrFTest(fittedModels = fits)