plotConfidenceSequenceTwoProportions | R Documentation |
Plot bounds of a safe confidence sequence of the difference or log odds ratio for two proportions against the number of data blocks in two data streams ya and yb.
plotConfidenceSequenceTwoProportions( ya, yb, safeDesign, differenceMeasure = c("difference", "odds"), precision = 100, deltaStart = 0.001, deltaStop = 3, trueDifference = NA )
ya |
positive observations/ events per data block in group a: a numeric with integer values
between (and including) 0 and |
yb |
positive observations/ events per data block in group b: a numeric with integer values
between (and including) 0 and |
safeDesign |
a safe test design for two proportions retrieved through |
differenceMeasure |
the difference measure to construct the confidence interval for: one of "difference" and "odds". |
precision |
precision of the grid to search over for the confidence sequence bounds. |
deltaStart |
for the odds difference measure: the (absolute value of the) smallest log odds ratio to assess for in- or exclusion in the confidence sequence. Default 0.001. |
deltaStop |
for the odds difference measure: the (absolute value of the) highest log odds ratio to assess for in- or exclusion in the confidence sequence. Default 3. |
trueDifference |
true difference or log odds ratio in groups A and B: added to the plot. |
no return value; called for its side effects, a plot of the confidence sequence.
set.seed(39413) ya <- rbinom(n = 30, size = 1, prob = 0.1) yb <- rbinom(n = 30, size = 1, prob = 0.8) balancedSafeDesign <- designSafeTwoProportions(na = 1, nb = 1, nBlocksPlan = 30) plotConfidenceSequenceTwoProportions(ya = ya, yb = yb, safeDesign = balancedSafeDesign, differenceMeasure = "difference", precision = 15, trueDifference = 0.7) #log odds ratio difference measure plotConfidenceSequenceTwoProportions(ya = ya, yb = yb, safeDesign = balancedSafeDesign, differenceMeasure = "odds", precision = 15, deltaStop = 5, trueDifference = log(36)) #switch ya and yb: observe negative log odds ratio in the data, plot mirrored in x-axis plotConfidenceSequenceTwoProportions(ya = yb, yb = ya, safeDesign = balancedSafeDesign, differenceMeasure = "odds", precision = 15, deltaStop = 5, trueDifference = -log(36))
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