Consider a data frame:
data = data.frame(a=c(1,1,1,2,2,3),
b=c("apples", "oranges", "apples", "apples", "apples", "grapefruit"),
c=c(12, 22, 22, 45, 67, 28),
d=c("Monday", "Monday", "Monday", "Tuesday", "Wednesday", "Tuesday"),
out = c(12, 14, 16, 18, 20, 22),
rate = c(0.01, 0.02, 0.03, 0.04, 0.07, 0.06))
I am trying to group_by and summarize however, I keep getting the error
Error in new_quosures(NextMethod()) :
could not find function "new_quosures"
The code I am using is as follows:
model.data.dim.names <- c("a", "b", "c")
data2 <- data %>% group_by_(.dots = model.data.dim.names) %>% summarise(
mean_adj1 = (mean(out, na.rm=FALSE)),
mean_adj2 = (mean(out)/mean(rate))
)
Please note, this is dummy data and the error is reproduced in the windows OS with the dummy data. Additionally, I am working on Windows OS. Additionally, I have tried the following:
Could you please help me understand the root cause of the error or an alternative that I could use?
Answer:
1) tidyr library screws up with it. Removing tidyr helps
2) use most updated dplyr library and group_by/ group_by_at/group_by(!!!syms(model.data.dim.names) works
The group-by_ function is deprecated, the current tidyeval way to do this would be to convert the character vector to symbols and then unquote splice them into group_by:
library(dplyr)
data %>%
group_by(!!!syms(model.data.dim.names)) %>%
summarise(
mean_adj1 = mean(out, na.rm=FALSE),
mean_adj2 = mean(out) / mean(rate)
)
## A tibble: 6 x 5
## Groups: a, b [4]
# a b c mean_adj1 mean_adj2
# <dbl> <fct> <dbl> <dbl> <dbl>
#1 1 apples 12 12 1200
#2 1 apples 22 16 533.
#3 1 oranges 22 14 700
#4 2 apples 45 18 450
#5 2 apples 67 20 286.
#6 3 grapefruit 28 22 367.