R statistical mapping - random forest classification analysis and species abundance difference test combination diagram

This paper mainly deals with the test plot of variable importance and species abundance difference between random forest groups , It includes the following parts ：

1） Random forest classification ;

2） Random forest classification variable importance mapping ;

3） Species abundance difference test plot

4） Combination diagram of the importance of random forest classification variables and species abundance differences

1. Data preparation

Fictitious microorganisms containing classification information are used here otu data , Used to build a random forest classification model .

# 1.1  Import data 
setwd("D:\\EnvStat\\ Official account document \\ Random forest analysis ") #  Set work path 
## Subsequent consolidation of data tables , The species names must be the same ,
## So try not to have special symbols in the imported data table .
#dir()
#file.show("otu.csv")
otu = read.csv("otu.csv",row.names = 1,header = TRUE,check.names = FALSE,stringsAsFactors = FALSE) #  Microbiome data 
dim(otu)
head(otu)

chart 1| original otu surface ,otu.csv. The first two columns are classified information , Later analysis only uses depth Categorization information .