| cor.yai {yaImpute} | R Documentation |
Correlation between observed and imputed
Description
Computes the correlation between observed and imputed values for each observation that has both.
Usage
cor.yai (object,vars=NULL,...)
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. https://academic.oup.com/forestscience/article/53/1/62/4604364