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...irms 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 <maklawe at 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(tidyvers...

...%>% 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 <lars52r at 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...

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 =