Good morning Jithin This is a good question. There is a rule-of-tumb that if more than 60-70% of your data is b.d.l. you should not use that data (unless is the main element you are studying for, like gold). One of the most important aspects of processing data is to determine which are the elements that carry the maximum amount of information. Usually, elements with too much b.d.l. do not carry enough information and they may not be included in your study. BTW, CoDaPack allows you to work with b.d.l. in two ways. You can transform the b.d.l. values or you can instruct the program to consider those as missing data. Finally, if you have geological (mineralogical) evidence of the relationship between two elements, e.g. you have gold in the galena so you can assume that there is a relationship between Pb and Au, you could use the values of Pb to estimate the values of Au, using a regression analysis. In one of my online courses I explained this in detail, but to get a general idea, take a look at this video- ruclips.net/video/L5Gz4a9HrkA/видео.html I hope this will help you.
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Thanks a lot.... It is very useful...!
Thank you.
Hai, What should I do if I have no values or nondetected values in my data set? will this affect my CLR transformation?
I will reply on Linkedin
Good morning Jithin
This is a good question. There is a rule-of-tumb that if more than 60-70% of your data is b.d.l. you should not use that data (unless is the main element you are studying for, like gold).
One of the most important aspects of processing data is to determine which are the elements that carry the maximum amount of information. Usually, elements with too much b.d.l. do not carry enough information and they may not be included in your study.
BTW, CoDaPack allows you to work with b.d.l. in two ways. You can transform the b.d.l. values or you can instruct the program to consider those as missing data.
Finally, if you have geological (mineralogical) evidence of the relationship between two elements, e.g. you have gold in the galena so you can assume that there is a relationship between Pb and Au, you could use the values of Pb to estimate the values of Au, using a regression analysis.
In one of my online courses I explained this in detail, but to get a general idea, take a look at this video- ruclips.net/video/L5Gz4a9HrkA/видео.html
I hope this will help you.