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Correlations between indicators and denominators

Source: R/correlations.R
get_denom_corr.Rd

Get a data frame containing any correlations between indicators and denominators that exceed a given threshold. This can be useful when whether to denominate an indicator and by what may not be obvious. If an indicator is strongly correlated with a denominator, this may suggest to denominate it by that denominator.

Usage

get_denom_corr(
  coin,
  dset,
  cor_thresh = 0.6,
  cortype = "pearson",
  nround = 2,
  use_directions = FALSE
)

Arguments

coin

A coin class object.

dset

The name of the data set to apply the function to, which should be accessible in .$Data.

cor_thresh

A correlation threshold: the absolute value of any correlations between indicator-denominator pairs above this threshold will be flagged.

cortype

The type of correlation: to be passed to the method argument of stats::cor.

nround

Optional number of decimal places to round correlation values to. Default 2, set NULL to disable.

use_directions

Logical: if TRUE the extracted data is adjusted using directions found inside the coin (i.e. the "Direction" column input in iMeta. See comments on this argument in get_corr().

Value

A data frame of pairwise correlations that exceed the threshold.

Examples

# build example coin
coin <- build_example_coin(up_to = "new_coin", quietly = TRUE)

# get correlations >0.7 of any indicator with denominators
get_denom_corr(coin, dset = "Raw", cor_thresh = 0.7)
#>          Ind  Denom Corr
#> 70  CultGood Energy 0.71
#> 119 CultGood    GDP 0.85
#> 52       FDI Energy 0.74
#> 101      FDI    GDP 0.85
#> 99     Goods    GDP 0.80
#> 102   PRemit    GDP 0.71
#> 116 Research    GDP 0.78
#> 100 Services    GDP 0.77
#> 66     StMob Energy 0.73
#> 115    StMob    GDP 0.84