>> Your code has a different name for the sample object. And it would be more
>> informative if you offered str on "sample1".
>>
>> This is the result of str on "sample1".
>> > str(sample1)
>> 'data.frame': 35943 obs. of 17 variables:
>> $ stdate : Factor w/ 7 levels "01/11/09 00:00",..: 1 1 1 1 1 1 1 1 1
>> 1 ...
>>
>
> So stdate is not a date variable but that is probably not your problem
> since it looks like the time portion of your not-dates are all "00:00".
> tapply can work with this information
>
>
>> snipped
>
>
> $ Login : Factor w/ 419 levels ".00","1.00","10.00",..: 114 283 217
>> 216 14 1 2 2 407 327 ...
>>
>
> So "Login" is not a numeric class variable. Read the FAQ about the proper
> way to convert that variable to numeric without loosing information.
>
The Login column contain all numeric values . I don't understand why I need
to convert that variable to numeric?
login column contain data like this :
> sample$Login
[35881] .00 1.00 .00 1.00 .00 .00 1.00
2.00
[35889] 1.00 3.00 .00 .00 .00 1.00 .00
32.00
[35897] 2.00 4.00 .00 17.00 3.00 1.00 12.00
.00
[35905] 8.00 .00 3.00 7.00 .00 17.00 .00
4.00
[35913] 16.00 4.00 20.00 7.00 .00 22.00 18.00
1.00
[35921] 3.00 3.00 .00 .00 37.00 3.00 12.00
3.00
[35929] 2.00 11.00 .00 5.00 77.00 1.00 4.00
1.00
[35937] 9.00 18.00 3.00 3.00 4.00 14.00 2.00
The mode of Login is numeric only :
> mode(sample$Login)
[1] "numeric"
>
And I am also using as.numeric(as.character(sample$Login), still it has
some warning and NA . I don't understand why this is happening. could you
explain?
> avglog <- with(sample1, tapply(as.numeric(as.character(sample$Login)),
stdate, mean))
Warning message:
In tapply(as.numeric(as.character(sample$Login)), stdate, mean) :
NAs introduced by coercion
> avglog
01/11/09 00:00 02/11/09 00:00 03/11/09 00:00 04/11/09 00:00 05/11/09 00:00
22.04866 16.65358 NA 15.84970 16.58600
06/11/09 00:00 07/11/09 00:00
16.20743 18.52379
Thanks & Rg
Mohan L
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