After upgrading dplyr to version 1.0.0 I’m a little bit annoyed by the warnings (actually you can’t suppress them with warnings = FALSE)

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`summarise()` regrouping output by 'homeworld' (override with `.groups` argument)

But let’s look at an example:

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library(dplyr, warn.conflicts = FALSE)
iris %>% 
  group_by(Species) %>% 
  summarise(
    Sepal.Length.mean = mean(Sepal.Length)
  )

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## `summarise()` ungrouping output (override with `.groups` argument)

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## # A tibble: 3 x 2
##   Species    Sepal.Length.mean
##   <fct>                  <dbl>
## 1 setosa                  5.01
## 2 versicolor              5.94
## 3 virginica               6.59

Here you can see the additional informative output which often disturbs my code when the out put is used in LaTeX-reports etc.

So how to get rid of it?

It’s simple. You can use a dplyr-option:

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library(dplyr, warn.conflicts = FALSE)

# Suppress summarise info
options(dplyr.summarise.inform = FALSE)

iris %>% 
  group_by(Species) %>% 
  summarise(
    Sepal.Length.mean = mean(Sepal.Length)
  )

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## # A tibble: 3 x 2
##   Species    Sepal.Length.mean
##   <fct>                  <dbl>
## 1 setosa                  5.01
## 2 versicolor              5.94
## 3 virginica               6.59

In fact this info text is added to inform about the new .groups paramater (see: https://www.tidyverse.org/blog/2020/05/dplyr-1-0-0-last-minute-additions/)

I’m searching for this dplyr-option every other day. So I primarly wrote this blogpost for me so I haven’t to search for it.

Note for tidyverse

There’s also a magic option for tidyverse to hide the attaching messages:

So instead of

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library(tidyverse)

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## ── Attaching packages ────────────────────────────────────────────────────────────────────────────────────────── tidyverse 1.3.0 ──

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## ✓ ggplot2 3.3.2     ✓ purrr   0.3.4
## ✓ tibble  3.0.3     ✓ stringr 1.4.0
## ✓ tidyr   1.1.0     ✓ forcats 0.5.0
## ✓ readr   1.3.1

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## ── Conflicts ───────────────────────────────────────────────────────────────────────────────────────────── tidyverse_conflicts() ──
## x dplyr::filter() masks stats::filter()
## x dplyr::lag()    masks stats::lag()

you get

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# unload tidyverse and ggplot2 as an example first
detach("package:tidyverse", unload = TRUE)
detach("package:ggplot2", unload = TRUE)

# magic option
options(tidyverse.quiet = TRUE)
library(tidyverse)