[R-lang] Re: How to handle missing data when I try to log-transform my data

[Matt Goldrick]

Dear Xiao

Why don't you simply discard the missing values? I don't know what type of
analyses you're doing, but mixed-effects regression models are generally
robust to imbalanced data, so there's no need to keep the number of
observations fixed across conditions.

HTH,
Matt

On Wed, Jun 23, 2010 at 12:24 PM, Xiao He <praguewatermelon@gmail.com>wrote:

> Dear R-lang users
>
> I have a question that is, I suppose, less related to the use of R.
>
> I have a set of self-paced reading data, and all the RTs that are below
> 100ms are to be discarded. What I used to do when analyzing raw data was to
> replace discarded values with 0. That was all simple and easy. But I
> recently started to analyze log-transformed data. An issue then arises as to
> how to handle missing data. Obviously, if I replace the discarded raw data
> points with 0, log transformation does not work, as it will return "-Inf"
> for obvious reasons. So I would like to know what you would suggest me to do
> in my case. Thank you very much in advance.
>
>
>
> Xiao He
>
>
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