Dear all,
I've got a bit of a challenge on my hands. I've got survey data produced by
a government agency for which I want to use the person-weights in my
analyses. This is best accomplished by specifying weights in {survey} and
then calculating descriptive statistics/models through functions in th
Hi,
I think you want the {mitools} package.
http://cran.r-project.org/web/packages/mitools/mitools.pdf. Anthony
Damico's site, asdfree.com, has a lot of good code examples using various
government datasets.
Nate
On Mon, Jan 26, 2015 at 5:23 AM, hnlki wrote:
> Dear,
>
> My dataset consists out o
Hi all,
If I have a tibble as follows:
tibble(dates = c(rep("2021-07-04", 2), rep("2021-07-25", 3),
rep("2021-07-18", 4)))
how in the world do I add a column that evaluates each of those dates and
assigns it a categorical value such that
datescycle
2021-07-04
levels is that
> you might have an awful lot of factors if you have a large enough
> dataset.
>
>
>
> Quoting "N. F. Parsons" :
>
> > Hi all,
> >
> > If I have a tibble as follows:
> >
> > tibble(dates = c(rep("2021-07-04", 2),
ay my
> respects to their Elders.
>
>
>
>
>
> On 22 Jul 2021, 1:47 PM +1000, N. F. Parsons ,
> wrote:
> > External email: Please exercise caution
> >
> > I am not averse to a factor-based solution, but I would still have to
> > manually enter that
)
>
> # base R
> as.integer(factor(df1$dates))
> match(df1$dates, unique(sort(df1$dates)))
>
> # dplyr
> df1 %>% group_by(dates) %>% mutate(cycle = cur_group_id())
>
>
> My favorite is by far the 1st but that's a matter of opinion.
>
>
> Hope this
11:11 AM Uwe Ligges <
> lig...@statistik.tu-dortmund.de> wrote:
>
>> For a data.frame d, I'd simply do
>>
>> d$cycle <- factor(d$dates, labels=1:3)
>>
>> but I have not idea about tibbles.
>>
>>
>> Best,
>> Uwe Ligges
>>
7 matches
Mail list logo
