Hello,
I'm new to R, but I've read the intro to R and successfully connected it to an
instance of mysql. I'm trying to perform multiple linear regression, but I'm
having trouble using the lm function. To start, I have read in a simply y
matrix of values(dependent variable) and x matrix of independent variables. It
says both are data frames, but lm is giving me an error that my y variable is a
list.
Any suggestions on how to do this? It's not clear to me what the problem is as
they're both data frames. My actual problem will use a much wider matrix of
coefficients, I've only included two for illustration.
Additionally, I'd actually like to weight the observations. How would I go
about doing that? I also have that as a separate column vector.
Thanks,
Aaron
Here's my session:
> margin
margin
1 66.67
2 -58.33
3 100.00
4 -33.33
5 200.00
6 -83.33
7 -100.00
8 0.00
9 100.00
10 -18.18
11 -55.36
12 -125.00
13 -33.33
14 -200.00
15 0.00
16 -100.00
17 75.00
18 0.00
19 -200.00
20 35.71
21 100.00
22 50.00
23 -86.67
24 165.00
> personcoeff
Person1 Person2
1 -1 1
2 -1 1
3 -1 1
4 -1 1
5 -1 1
6 -1 1
7 0 0
8 0 0
9 0 1
10 -1 1
11 -1 1
12 -1 1
13 -1 1
14 -1 0
15 0 0
16 0 0
17 0 1
18 -1 1
19 -1 1
20 -1 1
21 -1 1
22 -1 1
23 -1 1
24 -1 1
> class(margin)
[1] "data.frame"
> class(personcoeff)
[1] "data.frame"
> lm(margin~personcoeff)
Error in model.frame(formula, rownames, variables, varnames, extras,
extranames, :
invalid type (list) for variable 'margin'
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