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 <st...@ntu.edu.tw
<mailto:st...@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
<st...@ntu.edu.tw <mailto:st...@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"
>>
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>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
<http://www.R-project.org/posting-guide.html>
>> and provide commented, minimal, self-contained,
reproducible code.
______________________________________________
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PLEASE do read the posting guide
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<http://www.R-project.org/posting-guide.html>
and provide commented, minimal, self-contained,
reproducible code.
