我正在努力设计一个有效的解决方案,该解决方案可以在14*10e6 records
上运行,并且可以将element_id
(difference
)的每个-
分配给它之前的{{1} }}。显然,对于每个element_id
,delta总是等于element_id == 1
,因为它没有先前要比较的元素。
考虑如下的data.frame:
NA
这个问题与其他与连续行之间的差异有关的问题是,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)
element_id
等于i
且350
element_id
等于i+1
,差异应为10
。
答案 0 :(得分:2)
您可以尝试功能getDifference()
。功能getDifference()
:
180
添加到该差异360
(%% 360
)的模数并减去180
代码:
# 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
申请OPs数据
# 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