## Not run:
# # using rftPval for hypothetical 3D t-statistical image
# # assume resels have been calculated and df = c(dfi, dfe)
#
# # peak RFT p-value (peak = the maximum of a specific cluster)
# peakP <- rftPval(3, 1, 0, peak, 1, resels, df, fieldType = "T")$Pcor
#
# # cluster RFT p-value (u = the value the statistical field was threshold at
# # and k = the size of the cluster in resels)
# clusterP <- rftPval(3, 1, k, u, 1, resels, df, fieldType = "T")$Pcor
#
# # set RFT p-value
# setP <- rftPval(3, numberOfClusters, minimumClusterSize, u, 1, resels, df,
# fieldType = "T")$Pcor
# ## End(Not run)
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