MCARcheck.df: Test correlation of missingness for all pairwise combinations...
In jknowles/datasynthR: Generate synthetic data with known properties, on demand.
Description
Usage
Arguments
Details
Value
Note
Author(s)
Description
Return the GK test for all pairs of columns in a dataframe on missing values
Usage
1
Arguments
df
a dataframe
Details
This function forces each pair of columns to factors of missing and
non-missing elements and then performs a GK test on those factors to
determine if they are correlated, to what degree, and if this is
statistically significant.
Value
a list with three matrices containing the pairwise Gamma statistic for
all columns in the dataframe, the standard error of the Gamma statistic, and
the significance test of the Gamma statistic
Note
Yadda yadda yadda
Author(s)
Jared E. Knowles
jknowles/datasynthR documentation built on May 19, 2019, 11:42 a.m.
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Description Usage Arguments Details Value Note Author(s)
Description
Return the GK test for all pairs of columns in a dataframe on missing values
Usage
1 |
Arguments
df |
a dataframe |
Details
This function forces each pair of columns to factors of missing and non-missing elements and then performs a GK test on those factors to determine if they are correlated, to what degree, and if this is statistically significant.
Value
a list with three matrices containing the pairwise Gamma statistic for all columns in the dataframe, the standard error of the Gamma statistic, and the significance test of the Gamma statistic
Note
Yadda yadda yadda
Author(s)
Jared E. Knowles
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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