compare.yai {yaImpute} | R Documentation |
Provides a convenient display of the root mean square differences
(see rmsd.yai
) or correlations (see cor.yai
) between observed and
imputed values for each of several imputations. Each column of the returned
data frame corresponds to an imputation result and each row corresponds to a
variable.
compare.yai(...,ancillaryData=NULL,vars=NULL,method="rmsd")
... |
a list of objects created by yai or impute.yai
that you wish to compare. |
ancillaryData |
a data frame that defines new variables, passed to impute.yai . |
vars |
a list of variable names you want to include; if NULL all available variables are included. |
method |
when rmsd is specified, the comparison is based on root mean
square differences between observed an imputed, and when cor is specified, the comparison is based on correlations between observed and imputed. |
A data.frame of class c("compare.yai","data.frame")
, where the columns
are the names of the ...-arguments and the rows are a union of
variable names. NA's are returned when the variables are factors.
Nicholas L. Crookston ncrookston@fs.fed.us
Andrew O. Finley finleya@msu.edu
yai
, plot.compare.yai
,
impute.yai
, rmsd.yai
require(yaImpute) data(iris) # form some test data refs=sample(rownames(iris),50) x <- iris[,1:2] # Sepal.Length Sepal.Width y <- iris[refs,3:4] # Petal.Length Petal.Width # build yai objects using 2 methods msn <- yai(x=x,y=y) mal <- yai(x=x,y=y,method="mahalanobis") # compare the y variables compare.yai(msn,mal) # compare the all variables in iris compare.yai(msn,mal,ancillaryData=iris) # Species is a factor, no comparison is made