ac_se: 'Agresti-Coull'ish Standard Errors
In brendan-R/brocks: The Personal R Functions of Brendan Rocks
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
Agresti-Coull (1998) intervals are a great way to get a quick and
non-terrible estimate of a proportion. They work by using a 'Wald' interval,
after the addition of 2 successes and 2 failures to the sample (other numbers
can be specified, via the wt argument). This function creates a
Wald-style standard-error, after adding psuedo-responses.
Usage
1
ac_se(logical_var, wt = 2)
Arguments
logical_var
A logical vector
wt
The number of successes and failures to add to the sample before
construction of a Wald interval
Value
numeric. An estimate of the sample's standard error.
Author(s)
Brendan Rocks rocks.brendan@gmail.com
References
Agresti, A., & Coull, B. A. (1998). Approximate is better than
"exact" for interval estimation of binomial proportions. The American
Statistician, 52(2), 119-126.
Examples
1
ac_se(as.logical(round(runif(10))))
brendan-R/brocks documentation built on May 13, 2019, 5:07 a.m.
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Description Usage Arguments Value Author(s) References Examples
Description
Agresti-Coull (1998) intervals are a great way to get a quick and
non-terrible estimate of a proportion. They work by using a 'Wald' interval,
after the addition of 2 successes and 2 failures to the sample (other numbers
can be specified, via the wt argument). This function creates a
Wald-style standard-error, after adding psuedo-responses.
Usage
1 | ac_se(logical_var, wt = 2)
|
Arguments
logical_var |
A |
wt |
The number of successes and failures to add to the sample before construction of a Wald interval |
Value
numeric. An estimate of the sample's standard error.
Author(s)
Brendan Rocks rocks.brendan@gmail.com
References
Agresti, A., & Coull, B. A. (1998). Approximate is better than "exact" for interval estimation of binomial proportions. The American Statistician, 52(2), 119-126.
Examples
1 | ac_se(as.logical(round(runif(10))))
|
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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