rmsd.yai {yaImpute} | R Documentation |
Computes the root mean square difference (RMSD) between observed and imputed values for each observation that has both. RMSD is computationally like RMSE, but they differ in interpretation. By default the RMSD values are scaled by the standard deviation of the respective variable.
rmsd.yai (object,vars=NULL,scale=FALSE,...)
object |
an object created by yai or impute.yai |
vars |
a list of variable names you want to include, if NULL all available variables are included |
scale |
when TRUE , the values are scaled (see details) |
... |
passed to called methods, very useful for passing arugment
ancillaryData to function impute.yai |
By default, RMSD is computed using standard formula for its related statistic,
RMSE. When scale=TRUE
, RMSD is divided by the standard deviation of the
observed data. The standard deviation is computed over the original list of
reference observations and is therefore not influenced
by the number of times a given reference is used for imputation.
A data frame with the row names as vars and the column as rmsd
. When
scale=TRUE
, the column name is rmsdS
.
Nicholas L. Crookston ncrookston@fs.fed.us
Andrew O. Finley finleya@msu.edu
yai
, impute.yai
and http://www.jstatsoft.org/v23/i10.