Re: [R] modeling large data

And it's likely you want to combine biglm with a database approach, either by using your own dbs (RSQLite or equivalent) or using tools like the 'sqlitedf' pkg. B On Oct 20, 2007, at 12:26 PM, Benilton Carvalho <[EMAIL PROTECTED]> wrote: > And I suggested to use the 'biglm' package. Didn't

Re: [R] modeling large data

And I suggested to use the 'biglm' package. Didn't it work? It has examples that I found useful. B On Oct 20, 2007, at 11:41 AM, "Wensui Liu" <[EMAIL PROTECTED]> wrote: > Hi, Dear Listers, > Several days ago, I posted a question regarding modeling large dataset > in R. Could anyone with such e

Re: [R] modeling large data

Hi, Dear Listers, Several days ago, I posted a question regarding modeling large dataset in R. Could anyone with such experience shed some light on it? I truly appreciate it. wensui On 10/17/07, Wensui Liu <[EMAIL PROTECTED]> wrote: > Hi, Dear Listers, > I am just curious if R is able to model a

[R] modeling large data

Hi, Dear Listers, I am just curious if R is able to model a logistic regression with 2-3000 variables and 30-40 million records. I know R is good but just want to know how good is to use it in a business envirnment such as database marketing. Thank you so much for you insight! -- ===