Description Usage Arguments Value Note Author(s) References Examples
The Bonferroni correction controls the Familywise Error Rate.
1 | c212.BONF(trial.data, alpha = 0.05)
|
trial.data |
File or data frame containing the p-values for the hypotheses being tested. The data must include a column called p which contains the p-values of the hypotheses. |
alpha |
The value for error control, e.g. 0.05. |
The subset of hypotheses in file or trial.data deemed significant.
No check is made for duplicate rows in the input file or data frame.
R. Carragher
Matthews, John N. S. (2006) Introduction to Randomized Controlled Clinical Trials, Second Edition. Chapman & Hall/CRC Texts in Statistical Science.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | trial.data <- data.frame(B = c(1, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4),
j = c(1, 1, 2, 3, 4, 1, 2, 3, 4, 5, 6, 7, 1, 2, 3, 4, 5),
AE = c("AE1", "AE2", "AE3", "AE4", "AE5", "AE6", "AE7", "AE8", "AE9", "AE10", "AE11",
"AE12", "AE13", "AE14", "AE15", "AE16", "AE17"),
p = c(0.135005, 0.010000, 0.001000, 0.005000, 0.153501, 0.020000, 0.0013, 0.0023, 0.011,
0.023000, 0.016, 0.0109, 0.559111, 0.751986, 0.308339, 0.837154, 0.325882))
c212.BONF(trial.data, 0.05)
## Not run:
B j AE p
1 2 2 AE3 0.0010
2 3 2 AE7 0.0013
3 3 3 AE8 0.0023
## End(Not run)
|
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