Shulou(Shulou.com)06/01 Report--

This article is about how to use R language to achieve principal component analysis of SSR data. I think it is very practical, so I share it with you. I hope you can get something after reading this article. Let's take a look at it.

A friend left a message asking how to do principal component analysis (PCA) on 0BI matrix. I checked the reference materials and found a way.

The first is to prepare the data.

The sample data comes from the poppr,csv file storage of the R language package in the following format

Total number of image.png1 loci 2 total number of samples 3 total number of populations 4, 5, 6 the number of samples in each population and the group name 7 is the sample number 8 is the group name 9 is the locus number 10 is 0, type 1 SSR data R language read data

The read.genalex () function poppr in the poppr package of R language needs to be installed for the first time.

Install.packages ('poppr')

Read in data

Library (poppr)

Mydf

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