R help - Oct 2005 - generalized linear model and missing handling

Hi,
I have a dataset and want to build a generalized linear model on it.
Unfortunately, complete.cases(df) returns null, which means I have to find a
way to "fill" those missings. One way is following my previous post to
use
median to replace(or use most freq. of level to replace for catergorical
case), but I am wondering if there are other ways, when glm or something
like it is concerned in R?

Thanks,

Weiwei

--
Weiwei Shi, Ph.D

"Did you always know?"
"No, I did not. But I believed..."
---Matrix III

	[[alternative HTML version deleted]]

I mean complete.cases(df) gives me all falses

On 10/4/05, Weiwei Shi <helprhelp@gmail.com>
wrote:
>
> Hi,
> I have a dataset and want to build a generalized linear model on it.
> Unfortunately, complete.cases(df) returns null, which means I have to find
> a way to "fill" those missings. One way is following my previous
post to use
> median to replace(or use most freq. of level to replace for catergorical
> case), but I am wondering if there are other ways, when glm or something
> like it is concerned in R?
>
> Thanks,
>
> Weiwei
>
> --
> Weiwei Shi, Ph.D
>
> "Did you always know?"
> "No, I did not. But I believed..."
> ---Matrix III
>


--
Weiwei Shi, Ph.D

"Did you always know?"
"No, I did not. But I believed..."
---Matrix III

	[[alternative HTML version deleted]]