[R] dplyr's arrange function
David Winsemius
dwinsemius at comcast.net
Thu Jun 16 01:16:11 CEST 2016
> On Jun 15, 2016, at 2:08 PM, Muhuri, Pradip (AHRQ/CFACT) <Pradip.Muhuri at ahrq.hhs.gov> wrote:
>
> Hello,
>
> I am using the dplyr's arrange() function to sort one of the many data frames on a character variable (named "prevalence").
>
> Issue: I am not getting the desired output (line 7 is the problem, which should be the very last line in the sorted data frame) because the sorted field is character, not numeric.
>
> The reproducible example and the output are appended below.
>
> Is there any work-around to convert/treat this character variable (named "prevalence" in the data frame below) as numeric before using the arrange() function within the dplyr package?
>
> Any hints will be appreciated.
>
> Thanks,
>
> Pradip Muhuri
>
> # Reproducible Example
>
> library("readr")
> testdata <- read_csv(
> "indicator, prevalence
> 1. Health check-up, 77.2 (1.19)
> 2. Blood cholesterol checked, 84.5 (1.14)
> 3. Recieved flu vaccine, 50.0 (1.33)
> 4. Blood pressure checked, 88.7 (0.88)
> 5. Aspirin use-problems, 11.7 (1.02)
> 6.Colonoscopy, 60.2 (1.41)
> 7. Sigmoidoscopy, 6.1 (0.61)
> 8. Blood stool test, 14.6 (1.00)
> 9.Mammogram, 72.6 (1.82)
> 10. Pap Smear test, 73.3 (2.37)")
>
> # Sort on the character variable in descending order
> arrange(testdata, desc(prevalence))
>
> # Results from Console
>
> indicator prevalence
> (chr) (chr)
> 1 4. Blood pressure checked 88.7 (0.88)
> 2 2. Blood cholesterol checked 84.5 (1.14)
> 3 1. Health check-up 77.2 (1.19)
> 4 10. Pap Smear test 73.3 (2.37)
> 5 9.Mammogram 72.6 (1.82)
> 6 6.Colonoscopy 60.2 (1.41)
> 7 7. Sigmoidoscopy 6.1 (0.61)
> 8 3. Recieved flu vaccine 50.0 (1.33)
> 9 8. Blood stool test 14.6 (1.00)
> 10 5. Aspirin use-problems 11.7 (1.02)
Despite the fact that the prevalence columns is not really the mixed numeric/alpha , it still can be sorted quite easily with the very handy gtools::mixedorder function:
> > require(gtools)
> Loading required package: gtools
> > testdata[ mixedorder(testdata$prevalence), ]
> indicator prevalence
> 7 7. Sigmoidoscopy 6.1 (0.61)
> 5 5. Aspirin use-problems 11.7 (1.02)
> 8 8. Blood stool test 14.6 (1.00)
> 3 3. Recieved flu vaccine 50.0 (1.33)
> 6 6.Colonoscopy 60.2 (1.41)
> 9 9.Mammogram 72.6 (1.82)
> 10 10. Pap Smear test 73.3 (2.37)
> 1 1. Health check-up 77.2 (1.19)
> 2 2. Blood cholesterol checked 84.5 (1.14)
> 4 4. Blood pressure checked 88.7 (0.88)
The mixedorder function splits the strings at the space boundaries and tests for numeric or alpha.
>
>
> Pradip K. Muhuri, AHRQ/CFACT
> 5600 Fishers Lane # 7N142A, Rockville, MD 20857
> Tel: 301-427-1564
>
--
David Winsemius
Alameda, CA, USA
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