我正在尝试删除与R中某个值匹配的记录\行。
这就是我现在所拥有的:
RawSurvey <- read.csv("/Survey/RawSurvey.csv")
Country = RawSurvey[,132] #132nd variable is Country
Survey <- RawSurvey[which(Country != 'Israel'
& Country != 'Canada'
& Country != 'Ukraine'
& Country != 'Afghanistan'
& Country != 'Oman'
& Country != 'Argentina'
),]
我不认为它会丢掉记录 - 我的意思是当我做总结时(Survey $ Country)他们仍然出现但是0表示阿根廷 - 0。
答案 0 :(得分:3)
使用%in%
可以节省大量复杂性,例如
countriesToDrop<-c("Israel","Canada","Ukraine","Afghanistan","Oman","Argentina");
Survey<-RawSurvey[!(RawSurvey[,132]%in%countriesToDrop),]
下降国家出现0计数的事实是因子向量的正常预期行为;如果您愿意,可以通过重新计算因子水平来删除它们,如下所示:
Survey[,132]<-factor(Survey[,132])