我试图看看管道在这里是否有用 -
p3Data[which(p3Data$memCond==1), "blockType"] <- 0
p3Data[which(p3Data$memCond==2), "blockType"] <- 0
p3Data[which(p3Data$memCond==3), "blockType"] <- 1
p3Data[which(p3Data$memCond==4), "blockType"] <- 1
p3Data[which(p3Data$memCond==1), "trialType"] <- 0
p3Data[which(p3Data$memCond==2), "trialType"] <- 1
p3Data[which(p3Data$memCond==3), "trialType"] <- 0
p3Data[which(p3Data$memCond==4), "trialType"] <- 1
如何使用%&gt;%并提高效率?
答案 0 :(得分:0)
试试这个
library(magrittr)
p3Data <- data.frame(memCond=sample(4,10,replace=TRUE))
p3Data <- p3Data %>% transform(blockType = (memCond-1) %/% 2, trialType = (memCond+1) %% 2)
# memCond blockType trialType
# 1 4 1 1
# 2 1 0 0
# 3 3 1 0
# 4 2 0 1
# 5 3 1 0
# 6 4 1 1
# 7 1 0 0
# 8 2 0 1
# 9 3 1 0
# 10 4 1 1
使用最新版本的软件包,你应该可以用
做得更好p3Data %<>% transform(blockType = (memCond-1) %/% 2, trialType = (memCond+1) %% 2)
但我无法测试