I'd recommend having a look at the lrm function in the Design package.
Looking at the examples should show you how you can product this type
of plot using some of the other components of this package.
On 26/11/06, Aimin Yan [EMAIL PROTECTED] wrote:
I am trying to fit a logistic regression model for this data set.
Firstly, I want to plot P(Y=1) vs As and P(Y=1) vs Aa.
Does any body know how to do these in R.
Thanks,
Aimin
p5 - read.csv(http://www.public.iastate.edu/~aiminy/data/p_5_2.csv;)
str(p5)
'data.frame': 1030 obs. of 6 variables:
$ P : Factor w/ 5 levels 821p,8ABP,..: 1 1 1 1 1 1 1 1 1 1 ...
$ Aa : Factor w/ 19 levels ALA,ARG,ASN,..: 12 16 7 18 11 10 19 19
19 1 ...
$ As : num 126.9 64.1 82.7 7.6 42.0 ...
$ Ms : num 92.4 50.7 75.3 17.2 57.7 ...
$ Cur: num -0.1320 -0.0977 -0.0182 0.2368 0.1306 ...
$ Y : int 0 0 1 1 0 0 1 0 1 1 ...
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