sampsize_multinomial: Compute the approximate worst-case sample size for a vector...
In sgutreuter/SGmisc: Miscellaneous R Convenience Functions
View source: R/numericFunctions.R
sampsize_multinomial R Documentation
Compute the approximate worst-case sample size for a vector of multinomial
proportions
Description
Compute the approximate worst-case sample size for a vector of multinomial
proportions
Usage
sampsize_multinomial(m, relmoe, conf = 0.95)
Arguments
m
The (integer) number of elements (at least two) in the vector of
equal proportions.
relmoe
Relative margin of error (relative half-width of the confidence
interval), expressed as a proportion. A value of 0.25 specifies margin of
error equal to 0.25 times the value of the (equal) proportions.
conf
Confidence level. The default is 0.95.
Value
A list containing the following elements:
sample_sizeThe required sample size.
target_proportionsThe anticipated vector of multinomially
distributed outcomes.
moeThe absolute margins of error for estimation of
target_proportions.
CallThe function call.
Author(s)
Steve Gutreuter
References
Thompson SK. Sample size for estimating multinomial proportions. The American
Statistician 1987; 41(1):42-46.
sgutreuter/SGmisc documentation built on Aug. 25, 2024, 7:21 p.m.
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View source: R/numericFunctions.R
| sampsize_multinomial | R Documentation |
Compute the approximate worst-case sample size for a vector of multinomial proportions
Description
Compute the approximate worst-case sample size for a vector of multinomial proportions
Usage
sampsize_multinomial(m, relmoe, conf = 0.95)
Arguments
m |
The (integer) number of elements (at least two) in the vector of equal proportions. |
relmoe |
Relative margin of error (relative half-width of the confidence interval), expressed as a proportion. A value of 0.25 specifies margin of error equal to 0.25 times the value of the (equal) proportions. |
conf |
Confidence level. The default is 0.95. |
Value
A list containing the following elements:
sample_sizeThe required sample size.
target_proportionsThe anticipated vector of multinomially distributed outcomes.
moeThe absolute margins of error for estimation of
target_proportions.CallThe function call.
Author(s)
Steve Gutreuter
References
Thompson SK. Sample size for estimating multinomial proportions. The American Statistician 1987; 41(1):42-46.
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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