adjwald_ci: Computes confidence intervals using adjusted Wald (Agresti &...
In darrellpenta/uxstats: Common data analysis tools for UX researchers
Description
Usage
Arguments
Value
See Also
View source: R/adjwald_ci-function.R
Description
Computes confidence intervals using adjusted Wald (Agresti & Coull, 1998)
Usage
1
adjwald_ci(.success, .trials, .Z = 1.959964, .return = c("both", "low", "hi"))
Arguments
.success
the proportion of successes
.trials
the total number of trials
.Z
The Z score corresponding to the desired level of confidence
.return
One of c("both","low","hi"). Defaults to both, returning a list with the lower and upper limits.
Value
a list with the lower and upper confidence limits (
See Also
Other point estimate helpers:
between_diff_ci(),
tdist_ci(),
within_diff_ci()
darrellpenta/uxstats documentation built on Jan. 18, 2022, 8:06 p.m.
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Description Usage Arguments Value See Also
View source: R/adjwald_ci-function.R
Description
Computes confidence intervals using adjusted Wald (Agresti & Coull, 1998)
Usage
1 | adjwald_ci(.success, .trials, .Z = 1.959964, .return = c("both", "low", "hi"))
|
Arguments
.success |
the proportion of successes |
.trials |
the total number of trials |
.Z |
The Z score corresponding to the desired level of confidence |
.return |
One of |
Value
a list with the lower and upper confidence limits (
See Also
Other point estimate helpers:
between_diff_ci(),
tdist_ci(),
within_diff_ci()
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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