ClopperPearsonCI: Clopper-Pearson confidence interval for one-sample proportion
In lrstat: Power and Sample Size Calculation for Non-Proportional Hazards and Beyond
View source: R/getDesignProportions.R
ClopperPearsonCI R Documentation
Clopper-Pearson confidence interval for one-sample proportion
Description
Obtains the Clopper-Pearson exact confidence interval for
a one-sample proportion.
Usage
ClopperPearsonCI(n, y, cilevel = 0.95)
Arguments
n
The sample size.
y
The number of responses.
cilevel
The confidence interval level.
Value
A data frame with the following variables:
-
n: The sample size.
-
y: The number of responses.
-
phat: The observed proportion of responses.
-
lower: The lower limit of the confidence interval.
-
upper: The upper limit of the confidence interval.
-
cilevel: The confidence interval level.
Author(s)
Kaifeng Lu, kaifenglu@gmail.com
Examples
ClopperPearsonCI(20, 3)
lrstat documentation built on June 23, 2024, 5:06 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/getDesignProportions.R
| ClopperPearsonCI | R Documentation |
Clopper-Pearson confidence interval for one-sample proportion
Description
Obtains the Clopper-Pearson exact confidence interval for a one-sample proportion.
Usage
ClopperPearsonCI(n, y, cilevel = 0.95)
Arguments
n |
The sample size. |
y |
The number of responses. |
cilevel |
The confidence interval level. |
Value
A data frame with the following variables:
-
n: The sample size. -
y: The number of responses. -
phat: The observed proportion of responses. -
lower: The lower limit of the confidence interval. -
upper: The upper limit of the confidence interval. -
cilevel: The confidence interval level.
Author(s)
Kaifeng Lu, kaifenglu@gmail.com
Examples
ClopperPearsonCI(20, 3)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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