On 07/12/2011 09:53 AM, Heiman, Thomas J. wrote:
## define x and y
x= x<-crs[,9]#predictor variables
y= y<-crs[1:8,] #response variable
This cannot be correct. The response variable is a vector, while the
predictor variables form a matrix. You have the response variable
consisting
Hi,
(i) As David suggested, please use `dput` to provide examples of data!
(ii) The nut of your problem is that you are giving lars an object
that it is not expecting. It wants a *matrix* for its `x` variable, as
you'll see in the help for ?lars.
So, as long as this expression:
R> is.numeric(x)
On Jul 12, 2011, at 10:12 AM, Heiman, Thomas J. wrote:
Hi,
Hopefully I got the formatting down.. I am trying to do a lasso
regression using the lars package with the following data (the data
files is in .csv format):
V1 V2 V3 V4
On Tue, 2011-07-12 at 10:12 -0400, Heiman, Thomas J. wrote:
> Hi,
>
> Hopefully I got the formatting down.. I am trying to do a lasso regression
> using the lars package with the following data (the data files is in .csv
> format):
>
> V1 V2 V3
Hi,
I am trying to do a lasso regression using the lars package with the following
data (see attached):
FastestTime
WinPercentage
PlacePercentage
ShowPercentage
BreakAverage
FinishAverage
Time7Average
Time3Average
Finish
116.90
0.14
0.14
0.29
4.43
3.29
117.56
117.77
5.00
116.23
Hi,
Hopefully I got the formatting down.. I am trying to do a lasso regression
using the lars package with the following data (the data files is in .csv
format):
V1 V2 V3 V4
V5 V6 V7
On Jul 12, 2011, at 9:53 AM, Heiman, Thomas J. wrote:
Hi,
I am trying to do a lasso regression using the lars package with the
following data (see attached):
Nothing attached. (And now you have also sent an exact duplicate.)
snipped failed attempt to include data inline that was sabotaged
Hi,
I am trying to do a lasso regression using the lars package with the following
data:
FastestTime
WinPercentage
PlacePercentage
ShowPercentage
BreakAverage
FinishAverage
Time7Average
Time3Average
Finish
116.90
0.14
0.14
0.29
4.43
3.29
117.56
117.77
5.00
116.23
0.29
0.43
0
Hi,
I am trying to do a lasso regression using the lars package with the following
data (see attached):
FastestTime
WinPercentage
PlacePercentage
ShowPercentage
BreakAverage
FinishAverage
Time7Average
Time3Average
Finish
116.90
0.14
0.14
0.29
4.43
3.29
117.56
117.77
5.00
116.23
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