getmean: Rows Mean Estimation

In mtsdi: Multivariate time series data imputation

Description

Estimate the row mean from a mtsdi object regarding a fixed number of imputed values

Usage

getmean(object, weighted=TRUE, mincol=1, maxconsec=3)

Arguments

object	imputation object
weighted	If TRUE, weights returned by mnimput will be used form mean computation
mincol	integer for the minimun number of valid values by row
maxconsec	integer for the maximum number of consecutive missing values in a column

Details

It is useful just in case one wants row mean estimated. If log tranformation was used, mean is adjusted accordingly.

Value

A vector of of rows mean with lenght n, where n is the number of observations.

Author(s)

Washington Leite Junger [email protected] and Antonio Ponce de Leon [email protected]

See Also

mnimput, getmean, edaprep

Examples

data(miss)
f <- ~c31+c32+c33+c34+c35
i <- mnimput(f,miss,eps=1e-3,ts=TRUE, method="spline",sp.control=list(df=c(7,7,7,7,7)))
m <- getmean(i,2)

mtsdi documentation built on May 30, 2017, 4:42 a.m.