Re: [R] remove a row

Of course! Use regexec() and regmatches() > regmatches(dat$varx,regexec("(^[[:digit:]]{1,3})([[:alpha:]]{1,2})([[:digit:]]{1,5}$)",dat$varx)) [[1]] [1] "9F209" "9" "F" "209" [[2]] character(0) [[3]] [1] "2F250" "2" "F" "250" [[4]] character(0) [[5]] character(0) [[6]] characte

Re: [R] remove a row

Thank you so much Bert. Is it possible to split the varx into three ( area code, region and the numeric part)as a separate variable On Thu, Nov 28, 2019 at 7:31 PM Bert Gunter wrote: > > Use regular expressions. > > See ?regexp and ?grep > > Using your example: > > > grep("^[[:digit:]]{1,3}[[:

Re: [R] remove a row

Use regular expressions. See ?regexp and ?grep Using your example: > grep("^[[:digit:]]{1,3}[[:alpha:]]{1,2}[[:digit:]]{1,5}$",dat$varx,value = TRUE) [1] "9F209" "2F250" "121FL50" Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking

[R] remove a row

Hi all, I want to remove a row based on a condition in one of the variables from a data frame. When we split this string it should be composed of 3-2- 5 format (3 digits numeric, 2 characters and 5 digits numeric). Like area code -region-numeric. The max length of the area code should be 3, the

Re: [R] Orthogonal polynomials used by R / another perspective

Warning: This may be off topic, but as several éminences grises have now offered comments, I recommend this striking discussion on many related issues by yet another éminence grise. https://academic.oup.com/aje/article/186/6/639/3886035 **PLEASE DO NOT REPLY ON LIST** This is not the place for a

Re: [R] Orthogonal polynomials used by R / another perspective

I'm not going to comment at all on the original question, but on a very common -- and often troublesome -- mixing of viewpoints about data modelling. R and other software is used to "fit equations to data" and to "estimate models". Unfortunately, a good bit of both these tasks is common. Usually

Re: [R] Orthogonal polynomials used by R

Dear Ashim, Please see my brief remarks below: > On Nov 28, 2019, at 11:02 AM, Ashim Kapoor wrote: > > On Thu, Nov 28, 2019 at 7:38 PM Fox, John wrote: > >> Dear Ashim, >> >> I'm afraid that much of what you say here is confused. >> >> First, because poly(x) and poly(x, raw=TRUE) produce th

Re: [R] Orthogonal polynomials used by R

Dear Ashim As John said your two examples give the same model to within rounding error so it is not clear what you see the problem as being. You can always remove some of the correlation by subtracting out a large constant from x before you use poly() on it. Michael On 28/11/2019 16:02, Ash

Re: [R] Orthogonal polynomials used by R

On Thu, Nov 28, 2019 at 7:38 PM Fox, John wrote: > Dear Ashim, > > I'm afraid that much of what you say here is confused. > > First, because poly(x) and poly(x, raw=TRUE) produce the same fitted > values (as I previously explained), they also produce the same residuals, > and consequently the sam

Re: [R] Orthogonal polynomials used by R

Dear Ashim, I'm afraid that much of what you say here is confused. First, because poly(x) and poly(x, raw=TRUE) produce the same fitted values (as I previously explained), they also produce the same residuals, and consequently the same CV criteria. From the point of view of CV, there's therefor