mi_mosaicplot: Mosaicplot for Imputed Values
In mmaechler/miP: Multiple Imputation Plots
Description
Usage
Arguments
Author(s)
Examples
View source: R/mi_mosaicplot.R
Description
Draws a mosaicplot for all categorical variables. The plot is divided
into observed and imputed values.
Usage
1
mi_mosaicplot(input, n="all", chains = FALSE)
Arguments
input
MI object produced by mi, mice.
n
vector of variablenames. Defines which variables are to be
plotted, default: "all".
chains
whether to plot each imputation chain for itself or not.
Author(s)
Paul Brix
Examples
1
2
3
4
data(FLAS)
require("mice")
FLASmi <- mice(FLAS)
mi_mosaicplot(FLASmi)
mmaechler/miP documentation built on May 23, 2019, 5 a.m.
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Description Usage Arguments Author(s) Examples
View source: R/mi_mosaicplot.R
Description
Draws a mosaicplot for all categorical variables. The plot is divided into observed and imputed values.
Usage
1 | mi_mosaicplot(input, n="all", chains = FALSE)
|
Arguments
input |
MI object produced by mi, mice. |
n |
vector of variablenames. Defines which variables are to be plotted, default: "all". |
chains |
whether to plot each imputation chain for itself or not. |
Author(s)
Paul Brix
Examples
1 2 3 4 | data(FLAS)
require("mice")
FLASmi <- mice(FLAS)
mi_mosaicplot(FLASmi)
|
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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