Hi
>
> Yes thank you Gu…
> I am just trying to do this as a rough step and will try other
> imputation methods which are more appropriate later.
> I am just learning R, and was trying to do the for loop and
> f-statement by hand but something is going wrong…
>
> This is what I have until now:
>
Yes thank you Gu…
I am just trying to do this as a rough step and will try other
imputation methods which are more appropriate later.
I am just learning R, and was trying to do the for loop and
f-statement by hand but something is going wrong…
This is what I have until now:
*fake array:
age<-
In your case, it may not be sensible to simply fill missing values by
mean or mode as multiple imputation becomes the norm this day. For
your specific question, na.roughfix in randomForest package would do
the work.
Weidong Gu
On Tue, Oct 11, 2011 at 8:11 AM, francesca casalino
wrote:
> Dear R e
Dear R experts,
I have a large database made up of mixed data types (numeric,
character, factor, ordinal factor) with missing values, and I am
looking for a package that would help me impute the missing values
using either the mean if numerical or the mode if character/factor.
I maybe could use
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