In applying the package (I’m going from HS6 to ISIC4), and doing so for all HS codes, my results often match to 2 or more ISIC codes (with equal weights across the codes). However, in the available datasets that you provide (looking specifically at hs6_isic3), you have a one-to-one match.
Having looked at my outputs (thank you to previous questions/answers about using purr::pluck to extract), it’s clearly not always the first or second match that is the best fit to the HS description; and with the weights being equal, I can’t simply identify the largest weight and use that for my match. Therefore, is there another step in this process that is available through your concordance package, so that I can similarly end with a one-to-one match?
If there isn’t an additional step available through the package, could you perhaps explain how you went about creating your one-to-one match for the hs6_isic3 data?
In applying the package (I’m going from HS6 to ISIC4), and doing so for all HS codes, my results often match to 2 or more ISIC codes (with equal weights across the codes). However, in the available datasets that you provide (looking specifically at hs6_isic3), you have a one-to-one match.
Having looked at my outputs (thank you to previous questions/answers about using purr::pluck to extract), it’s clearly not always the first or second match that is the best fit to the HS description; and with the weights being equal, I can’t simply identify the largest weight and use that for my match. Therefore, is there another step in this process that is available through your concordance package, so that I can similarly end with a one-to-one match?
If there isn’t an additional step available through the package, could you perhaps explain how you went about creating your one-to-one match for the hs6_isic3 data?