[R] Defining partial list of variables

[Eric Berger]

zx<-strsplit("age,exercise,income,white,black,hispanic,base,somcol,grad,employed,unable,homeowner,married,divorced,widowed",",")



On Tue, Jan 5, 2021 at 11:01 AM Steven Yen <styen using ntu.edu.tw> wrote:

> Thank you, Jeff. IMO, we are all here to make R work better to suit our
> various needs. All I am asking is an easier way to define variable list
> zx, differently from the way z0 , x0, and treat are defined.
>
>  > zx<-colnames(subset(mydata,select=c(
> + age,exercise,income,white,black,hispanic,base,somcol,grad,employed,
> +     unable,homeowner,married,divorced,widowed)))
>  > z0<-c("fruit","highblood")
>  > x0<-c("vgood","poor")
>  > treat<-"depression"
>  > eq1 <-my.formula(y="depression",x=zx,z0)
>  > eq2 <-my.formula(y="bmi",       x=zx,x0)
>  > eq2t<-my.formula(y="bmi",       x=zx,treat)
>  > eqs<-list(eq1,eq2); eqs
> [[1]]
> depression ~ age + exercise + income + white + black + hispanic +
>      base + somcol + grad + employed + unable + homeowner + married +
>      divorced + widowed + fruit + highblood
>
> [[2]]
> bmi ~ age + exercise + income + white + black + hispanic + base +
>      somcol + grad + employed + unable + homeowner + married +
>      divorced + widowed + vgood + poor
>
>  > eqt<-list(eq1,eq2t); eqt
> [[1]]
> depression ~ age + exercise + income + white + black + hispanic +
>      base + somcol + grad + employed + unable + homeowner + married +
>      divorced + widowed + fruit + highblood
>
> [[2]]
> bmi ~ age + exercise + income + white + black + hispanic + base +
>      somcol + grad + employed + unable + homeowner + married +
>      divorced + widowed + depression
>
> On 2021/1/5 下午 04:18, Jeff Newmiller wrote:
> > IMO if you want to hardcode a formula then simply hardcode a formula. If
> you want 20 formulas, write 20 formulas. Is that really so bad?
> >
> > If you want to have an abbreviated way to specify sets of variables
> without conforming to R syntax then put them into data files and read them
> in using a format of your choice.
> >
> > But using NSE to avoid using quotes for entering what amounts to
> in-script data is abuse of the language justified by laziness... the amount
> of work you put yourself and anyone else who reads your code through is
> excessive relative to the benefit gained.
> >
> > NSE has its strengths... but as a method of creating data objects it
> sucks. Note that even the tidyverse (now) requires you to use quotes when
> you are not directly referring to something that already exists. And if you
> were... you might as well be creating a formula.
> >
> > On January 4, 2021 11:14:54 PM PST, Steven Yen <styen using ntu.edu.tw> wrote:
> >> I constantly define variable lists from a data frame (e.g., to define a
> >>
> >> regression equation). Line 3 below does just that. Placing each
> >> variable
> >> name in quotation marks is too much work especially for a long list so
> >> I
> >> do that with line 4. Is there an easier way to accomplish this----to
> >> define a list of variable names containing "a","c","e"? Thank you!
> >>
> >>> data<-as.data.frame(matrix(1:30,nrow=6))
> >>> colnames(data)<-c("a","b","c","d","e"); data
> >>    a  b  c  d  e
> >> 1 1  7 13 19 25
> >> 2 2  8 14 20 26
> >> 3 3  9 15 21 27
> >> 4 4 10 16 22 28
> >> 5 5 11 17 23 29
> >> 6 6 12 18 24 30
> >>> x1<-c("a","c","e"); x1 # line 3
> >> [1] "a" "c" "e"
> >>> x2<-colnames(subset(data,select=c(a,c,e))); x2 # line 4
> >> [1] "a" "c" "e"
> >>
> >> ______________________________________________
> >> 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.
>
> ______________________________________________
> 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.
>

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