重新编码R中的variables时出错

我已经从Excel导入一个文件，导入后有以下str

str(mydata) $ Injury : chr "MMCAI" "MMCAI" "MMCAI" "MMCAI" ... $ Na_RR : num 161 152 152 150 143 ... $ place : chr "core" "core" "core" "core" ... 

现在我想要创build5个不同的组合“损伤”和“地点”我有这个代码的组

 mydata$group[mydata$Injury=="MMCAI" & mydata$place=="core"]<- "IC" 

但是，在通过代码后，我得到了分类为NA的观察值，即：

  231 core MMCAI 138.8168 3.253879 core IC 232 core MMCAI 142.7655 3.096850 core NA 233 core MMCAI 141.1135 3.066894 core NA 234 core MMCAI 137.1993 2.922434 core NA 235 core MMCAI 138.3765 2.848378 core NA 

我找不到错误…任何帮助将不胜感激

谢谢

Answer 1

如果相关variables存在领先/滞后空间，则可能发生这种情况

  mydata$group[with(mydata, Injury=='MMCAI' & place=='core')] <- 'IC' mydata # Na_RR place Injury group #1 231 core MMCAI IC #2 232 core MMCAI <NA> #3 233 core MMCAI <NA> #4 234 core MMCAI <NA> #5 235 core MMCAI <NA> #6 239 core MMCPI <NA> 

当我们删除领先/滞后空间时，它应该起作用

 library(stringr) mydata[c('place', 'Injury')] <- lapply(mydata[c('place', 'Injury')], str_trim) mydata$group[with(mydata, Injury=='MMCAI' & place=='core')] <- 'IC' mydata # Na_RR place Injury group #1 231 core MMCAI IC #2 232 core MMCAI IC #3 233 core MMCAI IC #4 234 core MMCAI IC #5 235 core MMCAI IC #6 239 core MMCPI <NA> 

其他选项是使用grep而不删除空格。

数据

 mydata <- structure(list(Na_RR = c(231L, 232L, 233L, 234L, 235L, 239L), place = c("core", "core", "core", "core", "core", "core"), Injury = c("MMCAI", "MMCAI ", " MMCAI", " MMCAI ", " MMCAI", "MMCPI")), .Names = c("Na_RR", "place", "Injury"), row.names = c(NA,-6L), class = "data.frame")