[R] glm help

[Peter Langfelder]

Thanks for the correction, I learned something new.

Peter

On Fri, Aug 21, 2015 at 7:32 AM, Bert Gunter <bgunter.4567 at gmail.com> wrote:
> Inline.
>
> -- Bert
> Bert Gunter
>
> "Data is not information. Information is not knowledge. And knowledge
> is certainly not wisdom."
>    -- Clifford Stoll
>
>
> On Thu, Aug 20, 2015 at 10:47 PM, Peter Langfelder
> <peter.langfelder at gmail.com> wrote:
>> On Thu, Aug 20, 2015 at 10:04 PM, Bert Gunter <bgunter.4567 at gmail.com> wrote:
>>
>>>> I noticed you made two data-frames, ‘my4s' and ‘my4S'. The `my4S` was built with `cbind` which would create a matrix (probably a character matrix) rather than a data frame.
>>>
>>> False. There is a data.frame method for cbind that returns a data
>>> frame. Don't know the specifics here, though.
>>>
>>
>> True, but does not apply here, i.e., David is correct. cbind will
>> return a data frame if the first argument is a data frame. In the OP
>> case, the first argument was a vector and hence cbind gives a matrix,
>
> False again.
>
> class(cbind(a=1:5,b=data.frame(a=letters[1:5],b=3:7)))
>
> [1] "data.frame"
>
> ##First argument a vector, but data frame is returned. Please consult
> ?cbind -- especially the data frame section -- for details.
>
> Again, I don't know the specifics here, and you and David may still
> well be right for what the OP did. I am only trying to correct what
> appear to me to be incorrect statements about the data.frame method of
> cbind (or rbind). Apologies if I have misinterpreted.
>
> Cheers,
> Bert
>
>
>
>> of mode "character" if any of the inputs were character. Here's a
>> short demo:
>>
>>> a = data.frame(a1 = 1:10)
>> # First argument a data frame, so the results is also a data frame  :
>>> class(cbind(a, b = 11:20))
>> [1] "data.frame"
>> # First argument is a vector, so the result is a matrix:
>>> class(cbind(a$a1, b = 11:20))
>> [1] "matrix"
>>> mode(cbind(a$a1, b = 11:20))
>> [1] "numeric"
>>> mode(cbind(a$a1, b = letters[11:20]))
>> [1] "character"
>>
>> Peter