miceadds (version 1.5-0)

ma.wtd.statNA: Some Multivariate Descriptive Statistics for Weighted Data in miceadds

Description

Some multivariate descriptive statistics for weighted data in miceadds.

Usage

ma.wtd.meanNA(data, weights = rep(1, nrow(data)) )
ma.wtd.sdNA(data, weights = rep(1, nrow(data)) )
ma.wtd.covNA(data, weights = rep(1, nrow(data)) )
ma.wtd.corNA(data, weights = rep(1, nrow(data)) )

Arguments

data

Numeric data frame

weights

Optional vector of sampling weights

Value

• A matrix or a vector depending on the requested statistic.

Details

Contrary to ordinary Rpractice, missing values are ignored in the calculation of descriptive statistics. ll{ ma.wtd.meanNA weighted means ma.wtd.sdNA weighted standard deviations ma.wtd.covNA weighted covariance matrix ma.wtd.corNA weighted correlation matrix }

Examples

#############################################################################
# EXAMPLE 1: Weighted statistics data.ma01
#############################################################################

data(data.ma01)
dat <- as.matrix(data.ma01[,-c(1:3)])

# weighted mean
ma.wtd.meanNA( dat , weights=data.ma01$studwgt  ) 

# weighted SD
ma.wtd.sdNA( dat , weights=data.ma01$studwgt  ) 

# weighted covariance
ma.wtd.covNA( dat , weights=data.ma01$studwgt )

# weighted correlation
ma.wtd.corNA( dat , weights=data.ma01$studwgt )