R 中数据帧的回归循环

Question

rm(list=ls())
myData <-read.csv(file="C:/Users/Documents/myfile.csv",header=TRUE, sep=",") 
for(i in names(myData))
{
    colNum <- grep(i,colnames(myData)) ##asigns a value to each column 
    if(is.numeric(myData[3,colNum]))  ##if row 3 is numeric, the entire column is 
   {
        ##print(nxeData[,i])        
        fit <- lm(myData[,i] ~ etch_source_Avg, data=myData) #does a regression for each column in my csv file against my independent variable 'etch'
        rsq <- summary(fit)$r.squared   
   }
}

I'm working on doing a regression loop for multiple columns and comparing them against one dependent variable column. I have the majority of the code written, but now I am unsure how to print out my R squared value for each column against the etch_source_Avg parameter while including the name of that column. Ideally it would something look like:

.765 "variable name 1"

.436 "variable name 2" ...and so on

Answer 1

这里是对您的代码的快速重写，这应该可以满足您的需求。为每一列分配一个值是不必要的，因为 myData 应该是 data.frame，这样你就可以使用它的列名访问每一列。

rm(list=ls())
myData <-read.csv(file="C:/Users/Documents/myfile.csv",header=TRUE, sep=",") 
for(i in names(myData))
{ 
    if(is.numeric(myData[3,i]))  ##if row 3 is numeric, the entire column is 
    {       
       fit <- lm(myData[,i] ~ etch_source_Avg, data=myData) #does a regression for each column in my csv file against my independent variable 'etch'
       rsq <- summary(fit)$r.squared
       writelines(paste(rsq,i,"\n"))
    }
}

希望对您有所帮助。

R 中数据帧的回归循环

Regression loop in R for data frames

statistics

loops

regression

r

dataframe