TendrilPerm | R Documentation |
Function to compute the permutations of one specified tendril, starting from a specific day. Permutations are simulated under the null hypothesis. Thus, on average, there will be an equal number of events on each treatment arm.
TendrilPerm(tendril, PermTerm, n.perm = 100, perm.from.day = 1, pi.low = 0.1, pi.high = 0.9)
tendril |
an object of class tendril as produced by Tendril() |
PermTerm |
the name of the type of event (tendril) to calculate permutations on |
n.perm |
the number of permutations. Default 100 |
perm.from.day |
the starting day for the permutation calculations. Default 1 |
pi.low |
percentile low value. Default 0.1 |
pi.high |
percentile high value. Default 0.9 |
Make permutation analysis to a specific type of event, as specified in PermTerm.
The function return an object of class TendrilPerm containing all the input data and a dataframe of permutation results. Use:
data$perm.data
and
data$tendril.pi
and
data$tendril
to access the permutations, percentiles dataframes, and tendril data respectively
# Create tendril tendril <- Tendril(mydata = TendrilData, rotations = Rotations, AEfreqThreshold = 9, Tag = "Comment", Treatments = c("placebo", "active"), Unique.Subject.Identifier = "subjid", Terms = "ae", Treat = "treatment", StartDay = "day", SubjList = SubjList, SubjList.subject = "subjid", SubjList.treatment = "treatment" ) # Compute permutations perm.data <- TendrilPerm(tendril = tendril, PermTerm="AE40", n.perm = 200, perm.from.day = 1) # Plot results plot(perm.data) plot(perm.data, percentile = TRUE)
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