dplyr group_by summarize at all vars fun

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The title says it all, how to use dplyr functions dplyr group_by summarize at all vars fun.
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[@7466sd]

I LOVE YOU!! I am a medical doctor, recently starting to work in the field of neuroscience research as a PhD. You can not possibly know what the hell I was going through and how miraculously you saved my life with this video. Many thanks to you bro.

[@jacksoncarpenter2152]

Thank You!

[@caduguimaraes]

Excellent

[@MrJuvette]

Please, please do more videos about tidyverse. You are so good. Easy to understand.

[@CradleToGraveR]

Thank you! You are right, I am lacking on the tidyverse videos. I will focus on that for a few days and post a few more videos. Thanks for the suggestion.

[@CradleToGraveR]

Here is a quick one. ruclips.net/video/rKvybSJ4nM0/видео.html . I'll put together more soon.

[@romanvasiura6705]

Thank you!

[@CradleToGraveR]

You're welcome! Did you practice this one at all? Get it to work?

[@romanvasiura6705]

@@CradleToGraveR I use this approach in my current study project.

[@romanvasiura6705]

Moreover, functions such as summarise_at - help quickly to figure out the main indicators of a new dataset.
P.S. This technique helps me write more tidy chunks of code

[@giorgisupatashvili6791]

Thank you :)

[@pratikpalchowdhury8148]

Thank you

[@CradleToGraveR]

You're welcome, Thanks for checking out the videos.

[@rwaewae]

how can we combine summary of statistics and correlation plot in one diagram/table in R. thanx

[@chloem.872]

I got this when using funs:
Warning message:
funs() is soft deprecated as of dplyr 0.8.0
Please use a list of either functions or lambdas:
# Simple named list:
list(mean = mean, median = median)
# Auto named with `tibble::lst()`:
tibble::lst(mean, median)
# Using lambdas
list(~ mean(., trim = .2), ~ median(., na.rm = TRUE))

[@nhejolea]

me too