This function performs a sensitivity analysis on a 2x2 contingency table. It calculates the number of cases that need to be replaced to invalidate or sustain the statistical inference. The function also allows switching between treatment success and failure or control success and failure based on the provided parameters.
Usage
tkonfound(
a,
b,
c,
d,
alpha = 0.05,
switch_trm = TRUE,
test = "fisher",
replace = "control",
to_return = to_return
)Arguments
- a
Number of unsuccessful cases in the control group.
- b
Number of successful cases in the control group.
- c
Number of unsuccessful cases in the treatment group.
- d
Number of successful cases in the treatment group.
- alpha
Significance level for the statistical test, default is 0.05.
- switch_trm
Boolean indicating whether to switch treatment row cells, default is TRUE.
- test
Type of statistical test to use, either "fisher" (default) or "chisq".
- replace
Indicates whether to use the entire sample or the control group for base rate calculation, default is "control".
- to_return
Type of output to return, either "raw_output" or "print".