On 01/04/2010 2:59 PM, Bruce Kindseth wrote:
I am trying to learn R, and am having problems with doing a simple linear
regression. I loaded data from a fixed width file, using wd=c(...), and
read.fwf(...) and I can read in the file ok and it comes in as vectors in
columns, which is what I expected. The problem is when I try to do a linear
regression, lm=(y~x), I get the following error message, "Error in
model.frame.default(formula = y ~ x, drop.unused.levels = TRUE) :
invalid type (list) for variable 'y'
You don't give sample code, so let's assume that you read both x and y as
mydata <- read.fwf( ... )
Then the regression call would be
lm(y ~ x, data=mydata)
If you don't specify the "data=" argument, it will look for *vectors* x
and y in your workspace to use in the formula. (It would also accept
matrices, but not dataframes,
and it sounds as though that's what you gave it. But you almost
certainly don't want it to do what it would do with matrices.)
Duncan Murdoch
I tried various things, such as wd=numeric(c(..)), unlist(y) and putting x
and y in a data frame and attaching it, but nothing helps. I have searched
through 3 online manuals, but can't seem to find an answer. Maybe this is
so simple that nobody felt the need to address it.
Thanks for your help.
B.Kindseth
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