Displaying 4 results from an estimated 4 matches for "summarise_all".
2020 Oct 01
0
summarize_all Function
Hello,
Any of the two will do, the first is now preferred.
library(dplyr)
mtcars %>%
summarise(across(everything(), sum))
mtcars %>%
summarise_all(sum) # no need for `funs()`
Hope this helps,
Rui Barradas
?s 18:29 de 01/10/20, Jeff Reichman escreveu:
> r-help Forum
>
>
>
> I'm using the dplyr:: summarize_all(funs(sum)) function and am receiving a
> warning message that the `funs()` is deprecated as of dplyr 0....
2018 Mar 22
1
Calculate weighted proportions for several factors at once
...(prop2=n/sum(n)) %>%
left_join(df2, by='group')
# I would like to do something like the following (which does of course not work):
my_fun <- function(x,wt){
freq1 <- dplyr::count(x, wt=wt)
prop1 <- freq1 / sum(freq1)
return(prop)
}
df1 %>%
group_by(group) %>%
summarise_all(.funs=my_fun(.), .vars=c('var1', 'var2'))
############################################################
Best regards,
Erich
[[alternative HTML version deleted]]
2020 Oct 01
4
summarize_all Function
r-help Forum
I'm using the dplyr:: summarize_all(funs(sum)) function and am receiving a
warning message that the `funs()` is deprecated as of dplyr 0.8.0. Ok what
should I be using to summarize all columns by sum?
Jeff
[[alternative HTML version deleted]]
2017 Dec 29
3
Help with script
Hello there. Happy new year for everyone!
I need help with a table. This table contains 300 rows and 192 columns.
Being the first column the ID of my samples that can have several
observations.
I need to generate e NEW table that contains a single ID with the sum of
the observations by columns:
For example:
Example
ID?? A??? B? ? C? ? D? ? E? ? F? ? G.... 191 columns
a1?? 0??? 0??? 0? ? 1???