SAEval (version 1.0.0)

cv_table: Coefficent of variation's table

Description

cv_table is used to analyse the coefficent of variation distribution of the chosen indicators.

Usage

cv_table(data,cv,boxplot=FALSE)

Value

Object of class data.frame. The data frame contains informations about the number of cvs that fall within each class.

Arguments

data

a data frame containg the coefficient of variation for the direct and small area estimators

cv

formula identifing the coefficient of variation.

boxplot

logical scalar. Should the boxplot of the coefficient of variation be produced (default=FALSE)?.

Author

Developed by Andrea Fasulo

Details

cv_table allows to evaluate the cv of the different estimators with respect to some well-known thresholds given by Statistics Canada (2009). For cv below 0.165 there are no rescrictions to the dissemination, for cv in the range 0.166-0.333 is suggested a publication with a warning, for cv above 0.333 the dissemination is not recommendent.

References

Statistics Canada, 2009, "Quality Guideline", Fifth edition, October 2009

Examples

# Load example data
data(SAEval_example)

# cv for the direct estimates
SAEval_example$cvd<-sqrt(SAEval_example$mse_d)/SAEval_example$y_d
#cv for the synthetic estimates
SAEval_example$cvsae<-sqrt(SAEval_example$mse_sa)/SAEval_example$y_syna

cv_data<-SAEval_example[,c("cvd","cvsae")]

SAEval_cvtable<-cv_table(data=cv_data,
cv=~cvd+cvsae)

SAEval_cvtable