cv_table | R Documentation |
cv_table
is used to analyse the coefficent of variation distribution of the chosen indicators.
cv_table(data,cv,boxplot=FALSE)
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)?. |
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.
Object of class data.frame
. The data frame contains informations about the number of cvs that fall within each class.
Developed by Andrea Fasulo
Statistics Canada, 2009, "Quality Guideline", Fifth edition, October 2009
# 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
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