[R] Defining partial list of variables
Steven Yen
@tyen @end|ng |rom ntu@edu@tw
Tue Jan 5 13:29:03 CET 2021
Thanks Eric. Yes, "unlist" makes a difference. Below, I am doing not
regression but summary to keep the example simple.
> set.seed(123)
> data<-matrix(runif(1:25),nrow=5)
> colnames(data)<-c("x1","x2","x3","x4","x5"); data
x1 x2 x3 x4 x5
[1,] 0.2875775 0.0455565 0.9568333 0.89982497 0.8895393
[2,] 0.7883051 0.5281055 0.4533342 0.24608773 0.6928034
[3,] 0.4089769 0.8924190 0.6775706 0.04205953 0.6405068
[4,] 0.8830174 0.5514350 0.5726334 0.32792072 0.9942698
[5,] 0.9404673 0.4566147 0.1029247 0.95450365 0.6557058
> j<-strsplit(gsub("[\n ]","","x1,x3,x5"),",")
> j<-unlist(j); j
[1] "x1" "x3" "x5"
> summary(data[,j])
x1 x3 x5
Min. :0.2876 Min. :0.1029 Min. :0.6405
1st Qu.:0.4090 1st Qu.:0.4533 1st Qu.:0.6557
Median :0.7883 Median :0.5726 Median :0.6928
Mean :0.6617 Mean :0.5527 Mean :0.7746
3rd Qu.:0.8830 3rd Qu.:0.6776 3rd Qu.:0.8895
Max. :0.9405 Max. :0.9568 Max. :0.9943
On 2021/1/5 下午 07:08, Eric Berger wrote:
> wrap it in unlist
>
> xx <- unlist(strsplit( .... ))
>
>
>
> On Tue, Jan 5, 2021 at 12:59 PM Steven Yen <styen using ntu.edu.tw
> <mailto:styen using ntu.edu.tw>> wrote:
>
> Thanks Eric. Perhaps I should know when to stop. The approach
> produces a slightly different variable list (note the [[1]]).
> Consequently, I was not able to use xx in defining my regression
> formula.
>
> > x<-colnames(subset(mydata,select=c(
>
> + hhsize,urban,male,
> + age3045,age4659,age60, # age1529
> + highsc,tert, # primary
> + gov,nongov, # unemp
> + married))); x
> [1] "hhsize" "urban" "male" "age3045" "age4659" "age60"
> "highsc" "tert"
> [9] "gov" "nongov" "married"
> > xx<-strsplit(gsub("[\n ]","",
> + "hhsize,urban,male,
> + age3045,age4659,age60,
> + highsc,tert,
> + gov,nongov,
> + married"
> + ),","); xx
> [[1]]
> [1] "hhsize" "urban" "male" "age3045" "age4659" "age60"
> "highsc" "tert"
> [9] "gov" "nongov" "married"
>
> > eq1<-my.formula(y="cig",x=x); eq1
> cig ~ hhsize + urban + male + age3045 + age4659 + age60 + highsc +
> tert + gov + nongov + married
> > eq2<-my.formula(y="cig",x=xx); eq2
> cig ~ c("hhsize", "urban", "male", "age3045", "age4659", "age60",
> "highsc", "tert", "gov", "nongov", "married")
>
> On 2021/1/5 下午 06:01, Eric Berger wrote:
>> If your column names have no spaces the following should work
>>
>> x<-strsplit(gsub("[\n ]","",
>> "hhsize,urban,male,
>> + gov,nongov,married"),","); x
>>
>> On Tue, Jan 5, 2021 at 11:47 AM Steven Yen <styen using ntu.edu.tw
>> <mailto:styen using ntu.edu.tw>> wrote:
>>
>> Here we go! BUT, it works great for a continuous line. With
>> line break(s), I got the nuisance "\n" inserted.
>>
>> > x<-strsplit("hhsize,urban,male,gov,nongov,married",","); x
>> [[1]]
>> [1] "hhsize" "urban" "male" "gov" "nongov" "married"
>>
>> > x<-strsplit("hhsize,urban,male,
>> + gov,nongov,married",","); x
>> [[1]]
>> [1] "hhsize" "urban" "male"
>> "\n gov"
>> [5] "nongov" "married"
>>
>> On 2021/1/5 下午 05:34, Eric Berger wrote:
>>> 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
>>> <mailto: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 <mailto: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"
>>> >>
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>>> <http://www.R-project.org/posting-guide.html>
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