one_prop_size {rashnu} | R Documentation |
Sample Size or Power for One-Sample Proportion Test
Description
Calculates sample size or power for a one-sample proportion test.
Usage
one_prop_size(
p,
p0,
delta = NULL,
alpha,
beta = NULL,
n = NULL,
test_type = "2-side"
)
Arguments
p |
Numeric. True proportion. |
p0 |
Numeric. Null hypothesis proportion. |
delta |
Numeric (optional). Margin for |
alpha |
Numeric. Type I error rate. |
beta |
Numeric (optional). Type II error rate. Required for sample size calculation. |
n |
Integer (optional). Sample size. Required for power calculation. |
test_type |
Character. |
Value
Numeric. Returns sample size (if beta
is given), or power (if n
is given).
Note
Only one of beta
(for sample size calculation) or n
(for power calculation) should be specified.
Required arguments by test_type
:
-
"2-side"
/"1-side
:For sample size:
p
,p0
,alpha
,beta
For power:
p
,p0
,alpha
,n
-
"non-inferiority"
/"equivalence"
:For sample size:
p
,p0
,delta
,alpha
,beta
For power:
p
,p0
,sdA
,delta
,alpha
,n
Examples
# Sample size for `"2-side"` test
one_prop_size(p = 0.5, p0 = 0.3,
alpha = 0.05, beta = 0.2, test_type = "2-side")
# Power of `"2-side"` test
one_prop_size(p = 0.5, p0 = 0.3,
alpha = 0.05, n = 50, test_type = "2-side")
# Sample size for `"1-side"` test
one_prop_size(p = 0.05, p0 = 0.02,
alpha = 0.05, beta = 0.2, test_type = "1-side")
# Power of `"1-sided"` test
one_prop_size(p = 0.05, p0 = 0.02,
alpha = 0.05, n = 191, test_type = "1-side")
# Sample size for `"non-inferiority"` test
one_prop_size(p = 0.5, p0 = 0.3, delta = -0.1,
alpha = 0.05, beta = 0.2, test_type = "non-inferiority")
# Power of `"non-inferiority"` test
one_prop_size(p = 0.5, p0 = 0.3, delta = -0.1,
alpha = 0.05, n = 18, test_type = "non-inferiority")
# Sample size for `"equivalence"` test
one_prop_size(p = 0.6, p0 = 0.6, delta = 0.2,
alpha = 0.05, beta = 0.2, test_type = "equivalence")
# Power of `"equivalence"` test
one_prop_size(p = 0.6, p0 = 0.6, delta = 0.2,
alpha = 0.05, n = 52, test_type = "equivalence")