How to apply summarise_each to all columns except one?

Question

I am analyzing a set of data with many columns (almost 30 columns). I want to group data based on two columns and apply sum and mean functions to all the columns except timestamp. How would I use summarise_each on all columns except timestamp?

This is the draft code I have but it obviously not correct. Plus it generates and error because it can not apply Sum to POSIXt data type (Error: 'sum' not defined for "POSIXt" objects)

features <- dataset %>% 
  group_by(X, Y) %>% 
  summarise_each(funs(mean,sum)) %>%
  arrange(TIMESTAMP)

Use `select()` before summarising maybe? Although you are going to not have a `TIMESTAMP` any more because it has more rows than your summary. — thelatemail, Jul 27 '16 at 23:53
Perfect. worked fine. I wish you'd added it as an answer so I could select it as the best answer — Behrad3d, Jul 28 '16 at 00:10
You can simply do `summarise_each(funs(mean, sum), -TIMESTAMP)` — Steven Beaupré, Jul 28 '16 at 01:09

score 19 · Accepted Answer · answered Jul 28 '16 at 01:11

19

Try summarise_each(funs(mean,sum), -TIMESTAMP) to exclude TIMESTAMP from the summarisation.

answered Jul 28 '16 at 01:11

Alex Ioannides

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why does this not work for the current function `summarise_all`? – HNSKD Jun 02 '18 at 10:55
1

try -c(TIMESTAMP) @HNSKD – Union find Jun 06 '18 at 15:57
Unfortunately, I cannot add another answer. I think it this question was closed for a bad reason; the answer you're looking for is not on the referenced page. Anyway, for the new `dplyr` (>= 0.8.0) you need to use `summarise_at(vars(-TIMESTAMP), ~mean)` to summarise on all but the TIMESTAMP variable. – MS Berends Dec 20 '19 at 08:54

How to apply summarise_each to all columns except one?

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