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?
The arrange() function lets you reorder the rows of a tibble. It takes a tibble, followed by the unquoted names of columns. For example, to sort in ascending order of the values of column x , then (where there is a tie in x ) by descending order of values of y , you would write the following.
You can sort pandas DataFrame by one or multiple (one or more) columns using sort_values() method and by ascending or descending order. To specify the order, you have to use ascending boolean property; False for descending and True for ascending.
To sort a data frame in R, use the order( ) function. By default, sorting is ASCENDING. Prepend the sorting variable by a minus sign to indicate DESCENDING order.
This may do the trick:
arrange(grp, across(c(x), desc))
dplyr
version 1.0.5
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