[R] generate ordered categorical variable in R
Bert Gunter
bgunter.4567 at gmail.com
Wed Sep 16 22:34:13 CEST 2015
Yes. Thanks Marc. I stand corrected.
-- Bert
Bert Gunter
"Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom."
-- Clifford Stoll
On Wed, Sep 16, 2015 at 1:28 PM, Marc Schwartz <marc_schwartz at me.com> wrote:
>
>> On Sep 16, 2015, at 1:06 PM, Bert Gunter <bgunter.4567 at gmail.com> wrote:
>>
>> Yikes! The uniform distribution is a **continuous** distribution over
>> an interval. You seem to want to sample over a discrete distribution.
>> See ?sample for that, as in:
>>
>> sample(1:4,100,rep=TRUE)
>>
>> ## or for this special case and faster
>>
>> sample.int(4,size=100,rep=TRUE)
>
>
> Bert,
>
> I am not sure that it is really faster, since internally, sample() calls sample.int():
>
>> sample
> function (x, size, replace = FALSE, prob = NULL)
> {
> if (length(x) == 1L && is.numeric(x) && x >= 1) {
> if (missing(size))
> size <- x
> sample.int(x, size, replace, prob)
> }
> else {
> if (missing(size))
> size <- length(x)
> x[sample.int(length(x), size, replace, prob)]
> }
> }
>
>
> set.seed(1)
>
>> system.time(x1 <- sample(1e10, 1e8, replace = TRUE))
> user system elapsed
> 2.755 0.170 2.925
>
>
> set.seed(1)
>> system.time(x2 <- sample.int(1e10, 1e8, replace = TRUE))
> user system elapsed
> 2.767 0.183 2.951
>
>
>> all(x1 == x2)
> [1] TRUE
>
>
> Regards,
>
> Marc
>
>
>>
>> Cheers,
>> Bert
>>
>> Bert Gunter
>>
>> "Data is not information. Information is not knowledge. And knowledge
>> is certainly not wisdom."
>> -- Clifford Stoll
>>
>>
>> On Wed, Sep 16, 2015 at 10:11 AM, thanoon younis
>> <thanoon.younis80 at gmail.com> wrote:
>>> Dear R- users
>>>
>>> I want to generate ordered categorical variable vector with 200x1 dimension
>>> and from 1 to 4 categories and i tried with this code
>>>
>>> Q1=runif(200,1,4) the results are not just 1 ,2 3,4, but the results with
>>> decimals like 1.244, 2.342,4,321 and so on ... My question how can i
>>> generate a vector and also a matrix with orered categorical variables and
>>> without decimals just 1,2,3 ,4 ,1,2,3,4, ....
>>>
>>> Many thanks in advance
>
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