On 26.05.2011 10:45, Jörgen Svan wrote:
Dear all,

I am quite new with R and I have a problem with plotting a binomial
regression line in a plot.

This is what I type in:
model<-glm(Para~Size,binomial)
par(mfrow=c(1,1))
xv<-seq(3.2,4.5,0.01)
yv<-predict(model,list(area=xv),type="response")
plot(Size,Para)
lines(xv,yv)

Several things I'd improve, hence the whole code:

dat <- read.table("clipboard", header=TRUE)
dat$Para <- factor(dat$Para)
model <- glm(Para ~ Size, data=dat, family="binomial")
xv <- seq(3.2,4.5,0.01)
yv <- predict(model, newdata=data.frame(Size=xv), type="response")
with(dat, plot(Size, as.integer(Para)-1))
lines(xv, yv)

Best,
Uwe Ligges



The error message that I get is:

Error in xy.coords(x, y) : 'x' and 'y' lengths differ

My txt-file is attached. Could someone please help me to find out what I did
wrong.

Thank you on beforehand,
Jörgen


PerBinom.txt


Para    Size
1       4.464285714
1       4.196428571
1       4.151785714
1       4.151785714
1       3.973214286
1       4.285714286
1       4.0625
1       4.241071429
1       4.0625
1       4.017857143
1       4.0625
1       4.017857143
1       4.241071429
1       4.151785714
1       4.0625
1       4.285714286
1       4.196428571
1       4.107142857
1       4.0625
1       4.330357143
1       4.375
1       4.196428571
1       4.196428571
1       3.928571429
1       4.0625
1       4.0625
1       4.107142857
1       4.196428571
1       3.928571429
1       4.151785714
1       3.705357143
1       3.75
1       4.107142857
1       3.839285714
1       3.616071429
1       4.0625
1       3.75
1       4.017857143
1       3.571428571
1       4.151785714
1       3.883928571
1       3.705357143
1       4.017857143
1       4.0625
1       4.0625
1       4.196428571
1       3.839285714
1       4.107142857
1       4.017857143
1       3.839285714
1       3.526785714
1       4.196428571
1       4.017857143
1       3.883928571
1       4.0625
1       4.107142857
1       4.285714286
1       3.928571429
1       3.794642857
1       4.107142857
1       4.107142857
1       3.839285714
1       4.241071429
1       4.285714286
1       4.375
0       4.115044248
0       3.495575221
0       4.203539823
0       3.982300885
0       4.026548673
0       4.07079646
0       3.805309735
0       4.07079646
0       3.982300885
0       4.247787611
0       4.203539823
0       3.982300885
0       3.849557522
0       4.115044248
0       3.849557522
0       4.07079646
0       4.203539823
0       3.849557522
0       4.247787611
0       4.026548673
0       4.07079646
0       4.203539823
0       4.026548673
0       3.982300885
0       4.026548673
0       3.584070796
0       4.026548673
0       3.982300885
0       3.761061947
0       3.230088496
0       3.495575221
0       3.982300885
0       3.938053097
0       3.849557522
0       3.982300885
0       3.849557522
0       4.026548673
0       3.938053097
0       4.159292035
0       3.849557522
0       4.026548673
0       3.672566372
0       4.159292035
0       3.761061947
0       4.247787611
0       4.115044248
0       3.539823009
0       3.89380531
0       4.115044248
0       3.849557522
0       4.115044248
0       4.115044248
0       4.07079646
0       3.584070796
0       3.407079646
0       4.203539823



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