Exactly what I was looking for Eric, thanks!
I agree on your second point.
Best,
Lars.
On Sat, Sep 9, 2017 at 9:02 AM, Eric Berger <ericjber...@gmail.com> wrote:
> Hi Lars,
> Two comments:
> 1. You can achieve what you want with a slight modification of your
> definition of s(), using the hint from the error message that you need an
> argument '.':
> s <- function(.) {
> dplyr::summarise(., x1m = mean(X1),
> x2m = mean(X2),
> x3m = mean(X3),
> x4m = mean(X4))
> }
>
> 2. You have not given a great test case in how you set your two factors
> because the two group_by()'s will give the identical groupings, An
> alternative which confirms that the function s() does what you want might
> be:
>
> df <- data.frame(matrix(rnorm(40), 10, 4),
> f1 = base::sample(letters[1:3],30,replace=TRUE),
> f2 = base::sample(letters[4:6],30,replace=TRUE))
>
> HTH,
>
> Eric
>
> On Sat, Sep 9, 2017 at 1:52 PM, Edjabou Vincent <makl...@gmail.com> wrote:
>
>> Hi Lars
>>
>> I am not very sure what you really want. However, I am suggesting the
>> following code that enables (1) to obtain the full summary of your data
>> and
>> (2) retrieve only mean of X values as function of factors f1 and f2.
>>
>> library(tidyverse)
>> library(psych)
>> df <- data.frame(matrix(rnorm(40), 10, 4),
>> f1 = gl(3, 10, labels = letters[1:3]),
>> f2 = gl(3, 10, labels = letters[4:6]))
>>
>> ##To get all summary of your data
>> df%>% gather(X_name,X_value,X1:X4)%>%
>> group_by(f1,f2,X_name)%>%
>> do(describe(.$X_value))
>>
>> ##To obtain only means of your data
>> df%>% gather(X_name,X_value,X1:X4)%>%
>> group_by(f1,f2,X_name)%>%
>> do(describe(.$X_value))%>%
>> select(mean)%>%# You select only mean value
>> spread(X_name,mean)#
>>
>> Vincent
>>
>> Med venlig hilsen/ Best regards
>>
>> Edjabou Maklawe Essonanawe Vincent
>> Mobile: +45 31 95 99 33
>>
>> On Sat, Sep 9, 2017 at 12:30 PM, Lars Bishop <lars...@gmail.com> wrote:
>>
>> > Dear group,
>> >
>> > Is there a way I could avoid the sort of duplication illustrated below?
>> > i.e., I have the same dplyr::summarise function on different group_by
>> > arguments. So I'd like to create a single summarise function that could
>> be
>> > applied to both. My attempt below fails.
>> >
>> > df <- data.frame(matrix(rnorm(40), 10, 4),
>> > f1 = gl(3, 10, labels = letters[1:3]),
>> > f2 = gl(3, 10, labels = letters[4:6]))
>> >
>> >
>> > df %>%
>> > group_by(f1, f2) %>%
>> > summarise(x1m = mean(X1),
>> > x2m = mean(X2),
>> > x3m = mean(X3),
>> > x4m = mean(X4))
>> >
>> > df %>%
>> > group_by(f1) %>%
>> > summarise(x1m = mean(X1),
>> > x2m = mean(X2),
>> > x3m = mean(X3),
>> > x4m = mean(X4))
>> >
>> > # My fail attempt
>> >
>> > s <- function() {
>> > dplyr::summarise(x1m = mean(X1),
>> > x2m = mean(X2),
>> > x3m = mean(X3),
>> > x4m = mean(X4))
>> > }
>> >
>> > df %>%
>> > group_by(f1) %>% s
>> > Error in s(.) : unused argument (.)
>> >
>> > Regards,
>> > Lars.
>> >
>> > [[alternative HTML version deleted]]
>> >
>> > ______________________________________________
>> > R-help@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.
>> >
>>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help@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/posti
>> ng-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>
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