[英]apply functions in R for comparing columns
I've a dataframe named df
. 我有一个名为
df
的数据df
。 I want to check, for each document, if the xcoordinate and ycoordinate are the same. 我想检查每个文档的xcoordinate 和 ycoordinate是否相同。
doc <- c("doc1", "doc2", "doc3")
xcor <- c(3,4,5,3,4,5,3,4,4)
ycor <- c(2,6,8,2,6,8,2,6,8)
df <- data.frame(doc,xcor,ycor)
df
doc xcor ycor
doc1 3 2
doc2 4 6
doc3 5 8
doc1 3 2
doc2 4 6
doc3 5 8
doc1 3 2
doc2 4 6
doc3 4 8
I'm now struggling with all the apply functions, but this doesn't result in the desire outcome. 我现在正在为所有应用功能苦苦挣扎,但这并不会导致期望的结果。
Which is 哪一个
doc1 TRUE
doc2 TRUE
doc3 FALSE
I don't think you need an apply
function for this. 我认为您不需要
apply
功能。 We can count the number of repeat docs after eliminating duplicate rows: 在消除重复的行之后,我们可以计算重复文档的数量:
table(df[!duplicated(df),]$doc) == 1
doc1 doc2 doc3
TRUE TRUE FALSE
Or even shorter (@DavidArenburg): 或更短(@DavidArenburg):
table(unique(df)$doc) == 1
Well, you can still achieve it with lapply
: 好了,您仍然可以使用
lapply
实现它:
unlist(lapply(lapply(lapply(split(df, doc), unique), nrow), `==`, 1))
Looks kind of messy, but it works. 看起来有点凌乱,但可以。
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