Odp: Help with a Loop
Hi r-help-bounces at r-project.org napsal dne 02.12.2007 23:33:47:
I am having trouble getting a loop to work for the following problem.
Any
help would be much appreciated. Thanks.
Lets try it without loop. Does this lapply(split(data[,4:3], data$Participant), function(x) coef(lm(x))) give you results you want? If yes, just put it in some object e.g. lll <- and do.call(rbind, lll) gives you a table output. Regards Petr
I need to find the slope and intercept from the linear regression of
Drug
Level on Day by Participant. There are a total of 37 Participants. I
need to
store the Participant, Label, Slope, and Intercept in a new data frame. This data is ordered by Participant number 37 total participants. A
sample
of the data is given below. Label Participant Day DrugLevel 17 0 1 15 1.84179 121 0 1 5 2.10772 147 0 1 7 3.00658 152 0 1 11 2.91729 250 0 1 10 2.75816 289 0 1 13 3.20468 321 0 1 6 2.43389 362 0 1 12 2.77770 433 0 1 9 3.03167 469 0 1 8 2.97613 475 0 1 14 2.86934 70 0 2 13 0.68022 210 0 2 8 1.41767 243 0 2 11 1.28867 246 0 2 9 1.53601 247 0 2 6 1.64863 280 0 2 5 1.19795 310 0 2 12 1.24440 343 0 2 10 1.18929 413 0 2 7 1.57207 41 0 3 7 1.87884 74 0 3 8 1.82477 100 0 3 5 2.09422 133 0 3 6 1.91853 134 0 3 12 0.90422 149 0 3 11 1.38232 172 0 3 10 1.55323 216 0 3 9 1.24088 65 0 4 8 2.49412 69 0 4 5 1.79840 This is my thought process of what the loop needs to do but I cant get
the
correct loop.
X1=Day[Participant=="1"]
Y1=DrugLevel[Participant=="1"]
Coeffs=function(X1,Y1)
{
lmfirst=lm(Y1~X1)
lmfirst$coefficients
}
Coeffs(X1,Y1)
# output slope and intercept here
# do same for the next participant
X2=Day[Participant=="2"]
Y2=DrugLevel[Participant=="2"]
Coeffs=function(X2,Y2)
{
lmfirst=lm(Y2~X2)
lmfirst$coefficients
}
Coeffs(X2,Y2)
# output slope and intercept here
# do same for the next participant
X3=Day[Participant=="3"]
Y3=DrugLevel[Participant=="3"]
Coeffs=function(X3,Y3)
{
lmfirst=lm(Y3~X3)
lmfirst$coefficients
}
Coeffs(X3,Y3)
# output slope and intercept here
# do same for the next participant
# etc for the rest of the participants
# any ideas?
# thanks
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