logrankSingleZ | R Documentation |
Helper function computes single component of the logrank statistic
logrankSingleZ(obs0, obs1, y0, y1, ...)
obs0 |
integer, number of observations in the control group |
obs1 |
integer, number of observations in the treatment group |
y0 |
integer, total number of participants in the control group |
y1 |
integer, total number of participants in the treatment group |
... |
further arguments to be passed to or from methods. |
Returns a list containing at least the following components:
observed minus expected.
hypergeometric variance.
y0Vector <- c(6, 4, 4, 1, 0) y1Vector <- c(6, 6, 5, 2, 2) obs0Vector <- c(1, 0, 2, 1, 0) obs1Vector <- c(0, 1, 1, 0, 1) varVector <- oMinEVector <-y0Vector for (i in seq_along(y0Vector)) { tempResult <- logrankSingleZ(obs0=obs0Vector[i], obs1=obs1Vector[i], y0=y0Vector[i], y1=y1Vector[i]) oMinEVector[i] <- tempResult[["oMinE"]] varVector[i] <- tempResult[["v"]] } sum(oMinEVector)/sqrt(sum(varVector))
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