我有一个脚本生成一个数据表,其中包含一些我希望除以其他列的列,并将结果存储在新列中。这是一个例子。
library(data.table)
dt <- data.table(V1 = c( 5.553465, 4.989168, 2.563682, 6.987971, 19.220936),
V2 = c(4.248335, 19.768138, 3.840026, 17.411003, 17.939368),
V3 = c(9.683953, 15.344424, 11.729091, 7.534210, 5.404000),
V4 = c(5.949093, 4.553023, 9.765656, 11.211069, 4.085964),
V5 = c(11.814671, 5.460138, 2.492230, 1.48792, 8.164280))
list1 <- list(c("V1", "V2", "V3"))
list2 <- list(c("V2", "V4", "V5"))
listRatio <- list(c("rat1","rat2","rat3"))
我尝试了各种方法将list1元素中的值除以list2元素中的值,但未成功。两个在下面;既不起作用。
dt[, (listRatio) := list1/list2]
dt[, c("rat1","rat2","rat3") := mapply(dt, function(x,y) x / y, x = c(V1, V2, V3), y = c(V2, V4, V5))]
答案 0 :(得分:6)
我们需要使用list
将vector
转换为[[
,然后使用list
获取mget
中每个向量的值,使用{ {1}}划分(Map
)每个/
值的相应列,并将其分配给向量(list
)。
listRatio[[1]]
注意:正如评论中提到的@Frank,最好创建dt[, (listRatio[[1]]) := Map(`/`, mget(list1[[1]]), mget(list2[[1]]))]
dt
# V1 V2 V3 V4 V5 rat1 rat2 rat3
#1: 5.553465 4.248335 9.683953 5.949093 11.814671 1.3072098 0.7141147 0.8196549
#2: 4.989168 19.768138 15.344424 4.553023 5.460138 0.2523843 4.3417611 2.8102630
#3: 2.563682 3.840026 11.729091 9.765656 2.492230 0.6676210 0.3932174 4.7062635
#4: 6.987971 17.411003 7.534210 11.211069 1.487920 0.4013537 1.5530190 5.0635854
#5: 19.220936 17.939368 5.404000 4.085964 8.164280 1.0714389 4.3904861 0.6619077
个变量名称,而不是vector
。
答案 1 :(得分:2)
使用data.frame函数
dt <- data.frame(V1 = c( 5.553465, 4.989168, 2.563682, 6.987971, 19.220936),
V2 = c(4.248335, 19.768138, 3.840026, 17.411003, 17.939368),
V3 = c(9.683953, 15.344424, 11.729091, 7.534210, 5.404000),
V4 = c(5.949093, 4.553023, 9.765656, 11.211069, 4.085964),
V5 = c(11.814671, 5.460138, 2.492230, 1.48792, 8.164280))
list1 <- list(dt[,c("V1", "V2", "V3")])
list2 <- list(dt[,c("V2", "V4", "V5")])
dt$rat3 <- dt$rat2 <- dt$rat1 <- ""
dt[, c("rat1","rat2","rat3")] <- unlist(list1)/unlist(list2)
V1 V2 V3 V4 V5 rat1 rat2 rat3
1 5.553465 4.248335 9.683953 5.949093 11.814671 1.3072098 0.7141147 0.8196549
2 4.989168 19.768138 15.344424 4.553023 5.460138 0.2523843 4.3417611 2.8102630
3 2.563682 3.840026 11.729091 9.765656 2.492230 0.6676210 0.3932174 4.7062635
4 6.987971 17.411003 7.534210 11.211069 1.487920 0.4013537 1.5530190 5.0635854
5 19.220936 17.939368 5.404000 4.085964 8.164280 1.0714389 4.3904861 0.6619077