On Nov 11, 2009, at 7:14 AM, Bogaso wrote:
Hi all,
I wanted to have a seasonality study like whether a particular month
has
significant effect as compared to others. Here is my data :
0.10499 0 0 1 0 0 0 0 0 0
0 0
0.00259 0 0 0 1 0 0 0 0 0
0 0
-0.06015 0 0 0 0 1 0 0 0
0 0 0
0.10721 0 0 0 0 0 1 0 0 0
0 0
0.03597 0 0 0 0 0 0 1 0 0
0 0
0.10584 0 0 0 0 0 0 0 1 0
0 0
0.02063 0 0 0 0 0 0 0 0 1
0 0
-0.03509 0 0 0 0 0 0 0 0
0 1 0
-0.03485 0 0 0 0 0 0 0 0
0 0 1
0.01632 0 0 0 0 0 0 0 0 0
0 0
0.06844 1 0 0 0 0 0 0 0 0
0 0
-0.01766 0 1 0 0 0 0 0 0
0 0 0
0.00989 0 0 1 0 0 0 0 0 0
0 0
0.11673 0 0 0 1 0 0 0 0 0
0 0
0.01789 0 0 0 0 1 0 0 0 0
0 0
-0.00323 0 0 0 0 0 1 0 0
0 0 0
0.06811 0 0 0 0 0 0 1 0 0
0 0
-0.01292 0 0 0 0 0 0 0 1
0 0 0
-0.12244 0 0 0 0 0 0 0 0
1 0 0
-0.06645 0 0 0 0 0 0 0 0
0 1 0
-0.03355 0 0 0 0 0 0 0 0
0 0 1
0.02308 0 0 0 0 0 0 0 0 0
0 0
-0.11711 1 0 0 0 0 0 0 0
0 0 0
0.06116 0 1 0 0 0 0 0 0 0
0 0
0.02832 0 0 1 0 0 0 0 0 0
0 0
0.01441 0 0 0 1 0 0 0 0 0
0 0
-0.04412 0 0 0 0 1 0 0 0
0 0 0
0.05558 0 0 0 0 0 1 0 0 0
0 0
0.08363 0 0 0 0 0 0 1 0 0
0 0
-0.01063 0 0 0 0 0 0 0 1
0 0 0
i.e. all explanatory variables here are dichotomous. However once I
run lm()
i got following error :
lm(
Error in model.frame.default(formula = dat[, 1] ~ dat[, -1],
drop.unused.levels = TRUE) :
invalid type (list) for variable 'dat[, -1]'
Assuming that dat really is a data.frame, then the error message is
saying you have attempted to pass most of it (since it is a list) to
the rhs of the formula and the lm procedure was expecting a vector or
vectors. What do you get with:
lm( dat[,1]~. , data = dat)
(It would be preferable for readability and possibly even for code
correctness to refer to the column name for data[,1].)
Can anyone please tell me what to do?
Better to post the output of str(dat) , or even better, the output of
dput(dat).
Best,
--
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
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