TOSTtwo.prop | R Documentation |
Development on TOSTtwo.prop
is complete, and for new code we recommend
switching to twoprop_test, which is easier to use, more featureful,
and still under active development.
TOSTtwo.prop(
prop1,
prop2,
n1,
n2,
low_eqbound,
high_eqbound,
alpha,
ci_type = "normal",
plot = TRUE,
verbose = TRUE
)
prop1 |
proportion of group 1 |
prop2 |
proportion of group 2 |
n1 |
sample size in group 1 |
n2 |
sample size in group 2 |
low_eqbound |
lower equivalence bounds (e.g., -0.1) expressed in proportions |
high_eqbound |
upper equivalence bounds (e.g., 0.1) expressed in proportions |
alpha |
alpha level (default = 0.05) |
ci_type |
confidence interval type (default = "normal"). "wilson" produces Wilson score intervals with a Yates continuity correction while "normal" calculates the simple asymptotic method with no continuity correction. |
plot |
set whether results should be plotted (plot = TRUE) or not (plot = FALSE) - defaults to TRUE |
verbose |
logical variable indicating whether text output should be generated (verbose = TRUE) or not (verbose = FALSE) - default to TRUE |
Returns TOST z-value 1, TOST p-value 1, TOST z-value 2, TOST p-value 2, low equivalence bound, high equivalence bound, Lower limit confidence interval TOST, Upper limit confidence interval TOST
Tunes da Silva, G., Logan, B. R., & Klein, J. P. (2008). Methods for Equivalence and Noninferiority Testing. Biology of Blood Marrow Transplant, 15(1 Suppl), 120-127.
Yin, G. (2012). Clinical Trial Design: Bayesian and Frequentist Adaptive Methods. Hoboken, New Jersey: John Wiley & Sons, Inc.
## Equivalence test for two independent proportions equal to .65 and .70, with 100 samples
## per group, lower equivalence bound of -0.1, higher equivalence bound of 0.1, and alpha of 0.05.
TOSTtwo.prop(prop1 = .65, prop2 = .70, n1 = 100, n2 = 100,
low_eqbound = -0.1, high_eqbound = 0.1, alpha = .05)
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