[R] Transformations in Tidyverse (renaming and ordering columns)
Joel Maxuel
j@m@xue| @end|ng |rom gm@||@com
Tue Oct 23 12:12:11 CEST 2018
I am impressed. Upon playing with factor, I took it a step further to
commonize (and this could very well be simpified):
>
> testset$Observation <- factor(testset$Order, levels=testset$Order,
labels=testset$Observation)
> testset$Label <- factor(testset$Seq, levels=testset$Seq,
labels=testset$Label)
>
> testset %>% select(Observation, Label, Value) %>%
spread(key=Observation, value=Value)
# A tibble: 4 x 4
Label One Two Three
<fct> <dbl> <dbl> <dbl>
1 Western 163 147 119
2 Northern 105 100 82
3 Eastern 121 106 90
4 Southern 74 70 65
>
All I see left now is to replace "Label" heading value with the appropriate
testset$Section value provided for the situation. In this case...
# A tibble: 4 x 4
For Reporting Quarter One Two Three
<fct> <dbl> <dbl> <dbl>
...
FWIW, before sending this I cleared all formatting and dismissed the
formatting toolbar (been doing only the latter before) in the Gmail client,
which I presume will finally strip HTML from the message.
--
Cheers,
Joel Maxuel
On Mon, Oct 22, 2018 at 10:48 PM John Laing <john.laing using gmail.com> wrote:
> I don't know much about the Tidyverse, but more generally the way to
> represent ordered categorical data is with a factor. This seems to work:
>
> > testset$Observation <- factor(testset$Observation, levels=c("One",
> "Two", "Three"))
> > testset$Label <- factor(testset$Label, levels=c("Western", "Northern",
> "Eastern", "Southern"))
> > testset %>% select(Observation, Label, Value) %>%
> spread(key=Observation, value=Value)
> # A tibble: 4 x 4
> Label One Two Three
> <fct> <dbl> <dbl> <dbl>
> 1 Western 163 147 119
> 2 Northern 105 100 82
> 3 Eastern 121 106 90
> 4 Southern 74 70 65
>
>>
>>
[[alternative HTML version deleted]]
More information about the R-help
mailing list