Reputation: 56034
I am trying to use arrange_()
with string input and in one of the columns in descending order.
library(dplyr) # R version 3.3.0 (2016-05-03) , dplyr_0.4.3
# data
set.seed(1)
df1 <- data.frame(grp = factor(c(1,2,1,2,1)),
x = round(runif(5,1,10), 2))
# grp x
# 1 1 3.39
# 2 2 4.35
# 3 1 6.16
# 4 2 9.17
# 5 1 2.82
Below is what I need to achieve:
df1 %>% arrange(grp, -x)
df1 %>% arrange(grp, desc(x))
# grp x
# 1 1 6.16
# 2 1 3.39
# 3 1 2.82
# 4 2 9.17
# 5 2 4.35
In my case second column is a string:
#dynamic string
myCol <- "x"
#failed attempts
df1 %>% arrange_("grp", desc(myCol))
Error: incorrect size (1), expecting : 5
df1 %>% arrange_("grp", "desc(myCol)")
Error: object 'myCol' not found
df1 %>% arrange_(c("grp", "desc(myCol)"))
#wrong output
# grp x
# 1 1 3.39
# 2 1 6.16
# 3 1 2.82
# 4 2 4.35
# 5 2 9.17
I found similar solution here, but couldn't make it work:
df1 %>% arrange_(.dots = c("grp", "desc(myCol)"))
Error: object 'myCol' not found
Feels like I am missing something very obvious, ideas?
Upvotes: 15
Views: 15745
Reputation: 41
This may do the trick:
arrange(grp, across(c(x), desc))
dplyr
version 1.0.5
Upvotes: 4
Reputation: 886968
We can paste
'desc' as a string to evaluate it.
myCol1 <- paste0("desc(", "x)")
df1 %>%
arrange_(.dots = c("grp", myCol1))
# grp x
#1 1 6.16
#2 1 3.39
#3 1 2.82
#4 2 9.17
#5 2 4.35
Or with 'myCol'
df1 %>%
arrange_(.dots = c("grp", paste0("desc(", myCol, ")")))
Or use lazyeval
library(lazyeval)
df1 %>%
arrange_(.dots = c("grp", interp(~ desc(n1), n1 = as.name(myCol))))
# grp x
#1 1 6.16
#2 1 3.39
#3 1 2.82
#4 2 9.17
#5 2 4.35
By using "desc(myCol)"
, it is a single string and the value of the 'myCol' is not evaluated.
Or another option is parse_expr
(from rlang
) and evaluate with !!
df1 %>%
arrange(grp, !! rlang::parse_expr(myCol1))
#grp x
#1 1 6.16
#2 1 3.39
#3 1 2.82
#4 2 9.17
#5 2 4.35
Or using the original string in the OP's post. Convert the string to symbol (sym
), evaluate (!!
) and arrange it in descending (desc
) order
myCol <- "x"
df1 %>%
arrange(grp, desc(!! rlang::sym(myCol)))
# grp x
#1 1 6.16
#2 1 3.39
#3 1 2.82
#4 2 9.17
#5 2 4.35
Upvotes: 13