mean_replacement: Function to clean data of omitted values by mean replacement
In seminr: Building and Estimating Structural Equation Models
mean_replacement R Documentation
Function to clean data of omitted values by mean replacement
Description
The seminr package provides a natural syntax for researchers to describe PLS
structural equation models.
Usage
mean_replacement(data)
Arguments
data
A dataset to be used for estimating a SEMinR model
Details
mean_replacement provides the verb for replacing all omitted values (NA only) in the dataset with
the mean of the variable.
Value
A dataset with all missing values replaced with column means
References
Hair, J. F., Hult, G. T. M., Ringle, C. M., and Sarstedt, M. (2017). A Primer on Partial Least Squares
Structural Equation Modeling (PLS-SEM), 2nd Ed., Sage: Thousand Oaks.
seminr documentation built on Oct. 14, 2024, 1:07 a.m.
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| mean_replacement | R Documentation |
Function to clean data of omitted values by mean replacement
Description
The seminr package provides a natural syntax for researchers to describe PLS
structural equation models.
Usage
mean_replacement(data)
Arguments
data |
A dataset to be used for estimating a SEMinR model |
Details
mean_replacement provides the verb for replacing all omitted values (NA only) in the dataset with
the mean of the variable.
Value
A dataset with all missing values replaced with column means
References
Hair, J. F., Hult, G. T. M., Ringle, C. M., and Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd Ed., Sage: Thousand Oaks.
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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