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) 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
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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