gen.imp.resp: Obtain imputed continuous responses from ordinal responses
In rosiezou/440proj: Analyze Continuous Latent Variables From Ordinal Survey Responses
Description
Usage
Arguments
Value
Examples
Description
Given a dataset of ordinal values (e.g. survey responses), obtain continuous imputed responses based
on quantiles of N(0,1), and using all other columns (similar to the MICE package).
Usage
1
gen.imp.resp(data, num.iter = 5)
Arguments
data
a data.frame containing ordinal variables (e.g. survey responses).
num.iter
a number specifying the number of times to iterate the imputation (defaults to 20)
Value
A data.frame containing the imputed responses.
Examples
1
2
3
imputed <- gen.imp.resp(multiis, num.iter = 1)
head(imputed)
rosiezou/440proj documentation built on May 12, 2019, 6:25 p.m.
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Description Usage Arguments Value Examples
Description
Given a dataset of ordinal values (e.g. survey responses), obtain continuous imputed responses based on quantiles of N(0,1), and using all other columns (similar to the MICE package).
Usage
1 | gen.imp.resp(data, num.iter = 5)
|
Arguments
data |
a data.frame containing ordinal variables (e.g. survey responses). |
num.iter |
a number specifying the number of times to iterate the imputation (defaults to 20) |
Value
A data.frame containing the imputed responses.
Examples
1 2 3 | imputed <- gen.imp.resp(multiis, num.iter = 1)
head(imputed)
|
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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