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This article introduces the relevant knowledge of "R language correlation matrix case analysis". Many people will encounter such a dilemma in the operation of actual cases, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

R built-in function cor () can be used to calculate the correlation coefficient: cor (x, method = c ("pearson", "kendall", "spearman")), and the correlation coefficients of pearson, kendall and spearman can be calculated.

The cor function calculates the correlation coefficient between columns, and the proof C (iMagazine j) is the correlation coefficient between column I and column j.

For example, the following data:

Log2Ratio_miR log2Ratio_Gene-1.43072567351625 1.37874741391777-1.43072567351625 1.11756970634256-1.43072567351625 1.67994238012443-1.43072567351625 3.05079253633835-1.43072567351625 1.503494091278-1.43072567351625 1.1861256619656-1.43072567351625 1.89027598062113-1.43072567351625 1.5087014552217-1.43072567351625 1.06781330535694 this is the content of the introduction. Thank you for reading. If you want to know more about the industry, you can follow the website, the editor will output more high-quality practical articles for you!

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