flag_weighted: Flag aggregation by the weighted frequency method

In eurostat/flagr: Implementation of Flag Aggregation

Description

This method can be used when you want to derive the flag of an aggregate that is a weighted average, index, quantile, etc.

Usage

flag_weighted(i, f, w)

Arguments

i	An integer column identifier of data.frame or a matrix containing the flags and weights used to derived the flag for the aggregates.
f	A data.frame or a matrix containing the flags of the series (one column per period)
w	A data.frame or a matrix with same size and dimesion as f containing the corresponding weights for each flags.

Value

flag_weighted Returns a character vector with the flag that has the highest weighted frequency or multiple flags in alphabetical order (in case there are more than one flag with the same highest weight) as the first value, and the sum of weights for the given flag(s) as the second value for the given columns of f,w defined by the parameter i.

See Also

flag_divide

Examples

flag_weighted(1, 
              data.frame(f=c("pe","b","p","p","u","e","d"), stringsAsFactors = FALSE), 
              data.frame(w=c(10,3,7,12,31,9,54)))
flag_weighted(1, 
              data.frame(f=c("pe","b","p","p","up","e","d"), stringsAsFactors = FALSE),
              data.frame(w=c(10,3,7,12,31,9,54)))
flag_weighted(1, 
              data.frame(f=c("pe",NA,"pe",NA,NA,"d"), stringsAsFactors = FALSE),
              data.frame(w=c(10,3,7,12,31,9)))


flags <- tidyr::spread(test_data[, c(1:3)], key = time, value = flags)
weights <- tidyr::spread(test_data[, c(1, 3:4)], key = time, value = values)
flag_weighted(7,flags[, c(2:ncol(flags))],weights[, c(2:ncol(weights))])

weights<-apply(weights[, c(2:ncol(weights))],2,function(x) x/sum(x,na.rm=TRUE))
weights[is.na(weights)] <- 0
flags<-flags[, c(2:ncol(flags))]
sapply(1:ncol(flags),flag_weighted,f=flags,w=weights)

eurostat/flagr documentation built on May 26, 2019, 4:39 p.m.