R中的nansum用于data.table

时间:2016-08-02 13:23:28

标签: r data.table nan

让我们从DT1开始

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我们也有DT2

library(data.table)
DT1 <- data.table(c(NA, NA, NA, NA, NA),
                  c(1, 1, 1, 1, NA),
                  c(1, 1, 1, 1, NA))
# 1: NA  1  1
# 2: NA  1  1
# 3: NA  1  1
# 4: NA  1  1
# 5: NA NA NA

我想将两个data.table相加,所以我得到以下结果:

DT2 <- data.table(c(NA, NA, NA, NA, NA),
                  c(2, 2, 2, 2, 2),
                  c(2, 2, 2, 2, 2))
# 1: NA  2  2
# 2: NA  2  2
# 3: NA  2  2
# 4: NA  2  2
# 5: NA  2  2

1 个答案:

答案 0 :(得分:3)

一个选项是Map

setDT(Map(function(x,y) {x1 <- rowSums(cbind(x,y), na.rm  = TRUE)
           x1[is.na(x) & is.na(y)] <- NA
            x1}, DT1, DT2))[]
#   V1 V2 V3
#1: NA  3  3
#2: NA  3  3
#3: NA  3  3
#4: NA  3  3
#5: NA  2  2