cleanup: cleanup data.frames
In hmi: Hierarchical Multiple Imputation
Description
Usage
Arguments
Value
Description
Function to exclude (factor or interval) variables that have too many levels
(as they may cause numerical problems), to change binary factors to 0-1 coding
(as such factors might generate linear dependent variables) and
to remove multiple intercepts.
Usage
1
Arguments
X
A n times p data.frame with p fixed (or random) effects variables.
k
An integer defining the allowed maximum of levels in a factor covariate.
Value
A n times (p-r) data.frame, with r being the number of variables with too many factors.
hmi documentation built on Oct. 23, 2020, 7:31 p.m.
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.
Description Usage Arguments Value
Description
Function to exclude (factor or interval) variables that have too many levels (as they may cause numerical problems), to change binary factors to 0-1 coding (as such factors might generate linear dependent variables) and to remove multiple intercepts.
Usage
1 |
Arguments
X |
A n times p data.frame with p fixed (or random) effects variables. |
k |
An integer defining the allowed maximum of levels in a factor covariate. |
Value
A n times (p-r) data.frame, with r being the number of variables with too many factors.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.