COINr (version 1.1.14)

compare_coins_corr: Compare two coins by correlation

Description

Given two coins, this function returns the correlation between the two coins, for target datset dset and target indicator code(s) iCodes. Correlation is calculated as the Pearson correlation coefficient, but if compare_by = "Ranks" then this is the correlation coefficient of the ranks, which amounts to the Spearman rank correlation. Set compare_by = "Scores" to return the Pearson correlation between scores.

Usage

compare_coins_corr(coin1, coin2, dset, iCodes, compare_by = "ranks")

Value

A list containing a correlation table and a list of comparison data frames.

Arguments

coin1

A coin

coin2

A coin, with possibly alternative methodology. This should share at least two units in common with coin1.

dset

Target data set, must be present in both coin1 and coin2

iCodes

Character vector of indicator codes to correlate between the two coins.

compare_by

Either "Ranks" or "Scores".

Examples

# build example
coin <- build_example_coin()

# copy coin
coin2 <- coin

# change to prank function (percentile ranks)
# we don't need to specify any additional parameters (f_n_para) here
coin2$Log$Normalise$global_specs <- list(f_n = "n_prank")

# regenerate
coin2 <- Regen(coin2)

# iCodes to compare: all at level 3 and 4
iCodes <- coin$Meta$Ind$iCode[which(coin$Meta$Ind$Level > 2)]

# compare index, sort by absolute rank difference
l_comp <- compare_coins_corr(coin, coin2, dset = "Aggregated", iCodes = iCodes)

# see df
l_comp$df_corr