[R] plot residuals per factor

[arun]

HI,

Not sure whether ggplot() works with lists.
If you want to plot residuals.vs.fitted for multiple groups, this could help you.  Assuming that you want separate plots for each group:
#You didn't provide any example.

dat1<-read.csv("skin_color.csv",sep="\t") #You can replace this with your dataset
dat1$d<-factor(dat1$skin_color)
colnames(dat1)[2:3]<-c("y","x")
models<-dlply(dat1,"d",function(df) mod <- lm(y~x,data=df))
models[[1]]

#Call:
#lm(formula = y ~ x, data = df)

#Coefficients:
#(Intercept)            x  
#    51.8357       0.1407  


mypath<-file.path("/home/arun/Trial1",paste("catalin_",1:5,".jpg",sep=""))  #change the file.path according to your system
 for(i in seq_along(mypath)){
jpeg(file=mypath[i])
par(mfrow=c(2,2))
line<-lm(y~x,data=dat1[dat1$d==i,])
 plot(line,which=1:4)# if you want only residual vs. fitted, change which=1
 #abline(0,0)
 dev.off()
 }

 line1<-lm(y~x,data=dat1[dat1$d==1,])
 line1
#
#Call:
#lm(formula = y ~ x, data = dat1[dat1$d == 1, ])
#
#Coefficients:
#(Intercept)            x  
 #   51.8357       0.1407  


A.K.

----- Original Message -----
From: catalin roibu <catalinroibu at gmail.com>
To: r-help at r-project.org
Cc: 
Sent: Tuesday, January 8, 2013 4:22 AM
Subject: [R] plot residuals per factor

Dear R-users,
I want to plot residuals vs fitted for multiple groups with ggplot2.
I try this code, but unsuccessful.
library("plyr")
models<-dlply(dat1,"d",function(df)
mod<-lm(y~x,data=df)

  ggplot(models,aes(.fitted,.resid), color=factor(d))+
  geom_hline(yintercept=0,col="white",size=2)+
  geom_point()+
  geom_smooth(se=F)

-- 
---
Catalin-Constantin ROIBU
Forestry engineer, PhD
Forestry Faculty of Suceava
Str. Universitatii no. 13, Suceava, 720229, Romania
office phone     +4 0230 52 29 78, ext. 531
mobile phone   +4 0745 53 18 01
                       +4 0766 71 76 58
FAX:                +4 0230 52 16 64
silvic.usv.ro

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