cor.yai: Correlation between observed and imputed
In yaImpute: Nearest Neighbor Observation Imputation and Evaluation Tools
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Description
Computes the correlation between observed and imputed values
for each observation that has both.
Usage
1
Arguments
object
an object created by yai or impute.yai.
vars
a list of variables names you want to include, if NULL all available
variables are included.
...
passed to called methods (not currently used)
Details
The correlations are computed using cor.yai. For data imputation, such
correlations are likely not appropriate (Stage and Crookston 2007).
Value
A data frame with the row names as vars and the column as cor.
Author(s)
Nicholas L. Crookston ncrookston.fs@gmail.com
Andrew O. Finley finleya@msu.edu
References
Stage, A.R.; Crookston, N.L. (2007). Partitioning error components
for accuracy-assessment of near neighbor methods of imputation.
For. Sci. 53(1):62-72.
http://www.fs.fed.us/rm/pubs_other/rmrs_2007_stage_a001.pdf
See Also
yaImpute documentation built on July 1, 2020, 3 a.m.
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Description Usage Arguments Details Value Author(s) References See Also
Description
Computes the correlation between observed and imputed values for each observation that has both.
Usage
1 |
Arguments
object |
an object created by |
vars |
a list of variables names you want to include, if NULL all available variables are included. |
... |
passed to called methods (not currently used) |
Details
The correlations are computed using cor.yai. For data imputation, such
correlations are likely not appropriate (Stage and Crookston 2007).
Value
A data frame with the row names as vars and the column as cor.
Author(s)
Nicholas L. Crookston ncrookston.fs@gmail.com
Andrew O. Finley finleya@msu.edu
References
Stage, A.R.; Crookston, N.L. (2007). Partitioning error components for accuracy-assessment of near neighbor methods of imputation. For. Sci. 53(1):62-72. http://www.fs.fed.us/rm/pubs_other/rmrs_2007_stage_a001.pdf
See Also
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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