prepare_data: Prepare survey data
In itsdalmo/reporttool: Tools for reporting
Description
Usage
Arguments
Value
Author(s)
Description
This function does the imputation/PLS-PM (or simple mean) for the survey data.
In addition, it calculates missing percentage and tallies the valid observations
for each entity.
Usage
1
prepare_data(srv, type = "mean", cutoff = 0.3)
Arguments
srv
A survey object.
type
The approach to use for latents. Either mean, pls,
or none (no latents). If pls is used, only coderesp and
percent_missing are added to the data. I.e. it is a preparation for the
PLS-wizard.
Value
Returns the survey with EM-variables and latent scores added using the
specified method.
Author(s)
Kristian D. Olsen
itsdalmo/reporttool documentation built on May 18, 2019, 7:11 a.m.
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Description Usage Arguments Value Author(s)
Description
This function does the imputation/PLS-PM (or simple mean) for the survey data. In addition, it calculates missing percentage and tallies the valid observations for each entity.
Usage
1 | prepare_data(srv, type = "mean", cutoff = 0.3)
|
Arguments
srv |
A survey object. |
type |
The approach to use for latents. Either |
Value
Returns the survey with EM-variables and latent scores added using the specified method.
Author(s)
Kristian D. Olsen
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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