[R] Create a categorical variable using the deciles of data

Rui Barradas ru|pb@rr@d@@ @end|ng |rom @@po@pt
Tue Jun 14 17:09:33 CEST 2022


Hello,

Inline.

Às 14:49 de 14/06/2022, Ebert,Timothy Aaron escreveu:
> A problem in R is that there are several dozen ways to do any of these basic activities. I used the approach that I could get to work the fastest and tried to make it somewhat general. I do not know functions like ?pretty that Rui used, nor ?quantile or ?cut. It is a difficulty in learning R where the internet or sites like this one are the "teacher." 

Yes, that's unfortunately true.

In this particular case I've learned about pretty() because I used to 
use hist(., plot=FALSE) to get pretty breakpoints. And hist's 
documentation says it uses pretty().


There are plenty of books, but they too take one approach to solve a 
problem rather than "here is a problem" and "these are all possible 
solutions." I appreciate seeing alternative solutions.

This thread is a good example of a "teacher" with several solutions, 
there are many more threads like this.

Rui Barradas

> 
> Tim
> 
> -----Original Message-----
> From: R-help <r-help-bounces using r-project.org> On Behalf Of Richard O'Keefe
> Sent: Tuesday, June 14, 2022 9:08 AM
> To: anteneh asmare <hanatezera using gmail.com>
> Cc: R Project Help <r-help using r-project.org>
> Subject: Re: [R] Create a categorical variable using the deciles of data
> 
> [External Email]
> 
> Can you explain why you are not using
> ?quantile
> to find the deciles then
> ?cut
> to construct the factor?
> What have I misunderstood?
> 
> On Tue, 14 Jun 2022 at 23:29, anteneh asmare <hanatezera using gmail.com> wrote:
> 
>> I want Create a categorical variable using the deciles of the
>> following data frame to divide the individuals into 10 groups equally.
>> I try the following codes
>> data_catigocal<-data.frame(c(1:50000))
>> # create categorical vector using deciles group_vector <-
>>
>> c('0-10','11-20','21-30','31-40','41-50','51-60','61-70','71-80','81-9
>> 0','91-100') # Add categorical variable to the data_catigocal
>> data_catigocal$decile <- factor(group_vector) # print data frame
>> data_catigocal
>>
>> can any one help me with the r code
>> Kind regards,
>> Hana
>>
>> ______________________________________________
>> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://urldefense.proofpoint.com/v2/url?u=https-3A__stat.ethz.ch_mail
>> man_listinfo_r-2Dhelp&d=DwICAg&c=sJ6xIWYx-zLMB3EPkvcnVg&r=9PEhQh2kVeAs
>> Rzsn7AkP-g&m=JNEsCwSpVwVmoMiEXA8K7ZWqg1GZK3Cx87LshtZ5gy5Y8SyDZrUSTuotO
>> cQ44yzy&s=2x4gMg5K_GJPK-XUk3UfSB3hhFCziCOgqvxl7yJXTvA&e=
>> PLEASE do read the posting guide
>> https://urldefense.proofpoint.com/v2/url?u=http-3A__www.R-2Dproject.or
>> g_posting-2Dguide.html&d=DwICAg&c=sJ6xIWYx-zLMB3EPkvcnVg&r=9PEhQh2kVeA
>> sRzsn7AkP-g&m=JNEsCwSpVwVmoMiEXA8K7ZWqg1GZK3Cx87LshtZ5gy5Y8SyDZrUSTuot
>> OcQ44yzy&s=50k59quZy2KmFsVBRxK4P-M7RyxDsPGieX6TiiY5or0&e=
>> and provide commented, minimal, self-contained, reproducible code.
>>
> 
>          [[alternative HTML version deleted]]
> 
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see https://urldefense.proofpoint.com/v2/url?u=https-3A__stat.ethz.ch_mailman_listinfo_r-2Dhelp&d=DwICAg&c=sJ6xIWYx-zLMB3EPkvcnVg&r=9PEhQh2kVeAsRzsn7AkP-g&m=JNEsCwSpVwVmoMiEXA8K7ZWqg1GZK3Cx87LshtZ5gy5Y8SyDZrUSTuotOcQ44yzy&s=2x4gMg5K_GJPK-XUk3UfSB3hhFCziCOgqvxl7yJXTvA&e=
> PLEASE do read the posting guide https://urldefense.proofpoint.com/v2/url?u=http-3A__www.R-2Dproject.org_posting-2Dguide.html&d=DwICAg&c=sJ6xIWYx-zLMB3EPkvcnVg&r=9PEhQh2kVeAsRzsn7AkP-g&m=JNEsCwSpVwVmoMiEXA8K7ZWqg1GZK3Cx87LshtZ5gy5Y8SyDZrUSTuotOcQ44yzy&s=50k59quZy2KmFsVBRxK4P-M7RyxDsPGieX6TiiY5or0&e=
> and provide commented, minimal, self-contained, reproducible code.
> 
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.



More information about the R-help mailing list