Get angular degree difference between consequent rows

I am struggling to design an efficient solution that run over 14*10e6 records and that is able to assign each element_id the difference (-) against its previous element_id. Clearly, for each element_id == 1 the delta is always equal to NA because it has no previous element to be compared to.

Considering a data.frame like the following:

set.seed(1234)
ID <- c(rep(1, 6), rep(2, 5))
element_id <- c(seq.int(1, 6), seq.int(1, 5))
degree <- as.integer(runif(11, 0, 360))  #angular degrees goes from 0 to 359 because 0 is also 360.
mydf <- data.frame(ID, element_id, degree) 

What differ this quesiton from other related to difference between consecutives rows is that if element_id i is equal 350 and the element_id i+1 is equal to 10, the difference should just be 20.

You can try function getDifference(). Function getDifference():

1. Gets difference between two degrees
2. Add 180 to that difference
3. Get modulus of 360 (%% 360) and subtract 180

Code:

# Function to calculate difference in degrees
getDifference <- function(degreeA = 0, degreeB = 0) {
    (degreeA - degreeB + 180) %% 360 - 180
}
# Test function
getDifference(10, 350)
# [1] 20
getDifference(350, 10)
# [1] -20

Apply to OPs data

# 1. Get difference with previous row (data.table shift)
# 2. For each ID is done using data.table by 
library(data.table)
setDT(mydf)
mydf[, degreeDiff := getDifference(degree, shift(degree)), ID]

#    ID element_id degree degreeDiff
# 1:  1          1     40         NA
# 2:  1          2    224       -176
# 3:  1          3    219         -5
# 4:  1          4    224          5
# 5:  1          5    309         85
# 6:  1          6    230        -79
# 7:  2          1      3         NA
# 8:  2          2     83         80
# 9:  2          3    239        156
#10:  2          4    185        -54
#11:  2          5    249         64