c212.BONF {c212} | R Documentation |
Implementation of Bonferroni correction for error control
Description
The Bonferroni correction controls the Familywise Error Rate.
Usage
c212.BONF(trial.data, alpha = 0.05)
Arguments
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. |
Value
The subset of hypotheses in file or trial.data deemed significant.
Note
No check is made for duplicate rows in the input file or data frame.
Author(s)
R. Carragher
References
Matthews, John N. S. (2006) Introduction to Randomized Controlled Clinical Trials, Second Edition. Chapman & Hall/CRC Texts in Statistical Science.
Examples
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)
[Package c212 version 0.98 Index]