在变量的唯一组合之间对观测次数进行细分
在变量的唯一组合之间对观测次数进行细分
提问于 2017-05-03 08:19:00
我有一份这样的数据：
descriptionin = c("sample1","sample1","sample1","sample1","sample1","sample1","sample1","sample1","sample2","sample2","sample3","sample3","sample3","sample3","sample3","sample3")
dilutionin = c(1,10,100,1000,1,10,100,1000,5,5,2,8,32,2,8,32)
conditionin = c("cond1","cond1","cond1","cond1","cond2","cond2","cond2","cond2","cond1","cond2","cond1","cond1","cond1","cond2","cond2","cond2")
testin <- data.frame(descriptionin,dilutionin,conditionin)并且希望将dataframe划分为：
descriptionout = c("sample1","sample1","sample1","sample1","sample1","sample1","sample1","sample1","sample3","sample3","sample3","sample3","sample3","sample3")
dilutionout = c(1,10,100,1000,1,10,100,1000,2,8,32,2,8,32)
conditionout = c("cond1","cond1","cond1","cond1","cond2","cond2","cond2","cond2","cond1","cond1","cond1","cond2","cond2","cond2")
testout <- data.frame(descriptionout,dilutionout,conditionout)为了解释，我想通过每个唯一的描述/条件组合对数据进行子集，这些组合有一个以上的数字(在本例中是1，但实际的数据集将是3)稀释。
谢谢
回答 1
Stack Overflow用户
回答已采纳
发布于 2017-05-03 08:21:15
一种选择是data.table。将“data.frame”转换为“data.table”(setDT(testin))，按“descriptionin”和“conditionin”分组，我们在组中找到具有多个unique‘稀释’的元素的行索引(.I)，并使用该索引对行进行子集。
library(data.table)
setDT(testin)[testin[, .I[uniqueN(dilutionin)>1], .(descriptionin, conditionin)]$V1]页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/43765309
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