estimate_classic: Estimate proportion using classic estimator
In validmeasures/liberiaData: Liberia Coverage Survey Data Handler
Description
Usage
Arguments
Value
Examples
View source: R/04-estimate_classic.R
Description
Estimate proportion using classic estimator
Usage
1
estimate_classic(x, n, z = 1.96)
Arguments
x
Total number of successes
n
Total number of tests
z
z-value. Default is 1.96 for 95% confidence interval
Value
A list containing the following components:
estimate
A vector with the sample proportions
conf.int
A confidence interval for the true proportion
Examples
1
estimate_classic(x = 50, n = 200)
validmeasures/liberiaData documentation built on Dec. 2, 2020, 3:32 a.m.
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Description Usage Arguments Value Examples
View source: R/04-estimate_classic.R
Description
Estimate proportion using classic estimator
Usage
1 | estimate_classic(x, n, z = 1.96)
|
Arguments
x |
Total number of successes |
n |
Total number of tests |
z |
z-value. Default is 1.96 for 95% confidence interval |
Value
A list containing the following components:
|
A vector with the sample proportions |
|
A confidence interval for the true proportion |
Examples
1 | estimate_classic(x = 50, n = 200)
|
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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