R:pmatch来完成更困难的任务 [英] R: pmatch for a more difficult task
问题描述
感谢@nullglob,
Thanks @nullglob,
我试图再次运行它,但是输出却不同.如果我滥用了您的代码,您介意教我吗?抱歉,我可能误会了它的工作方式.希望您不介意给我更多建议.
I tried to run it again, but my output is different. Could you mind to teach me if I have misuse your code? Sorry that I may have misunderstand the way how it works. I hope you don't mind to give me some more advice.
df1 <- data.frame(
A=c("x01","x02","y03","z02","x04", "x33", "z03"),
B=c("A01BB01","A02BB02","C02AA05","B04CC10","C01GX02", "yyy", "zzz"))
df2 <- data.frame(
X=c("a","b","c","d","e", "f"),
Y=c("A01BB","A02","C02A","B04","C01GX", "xxx"))
with(c(df1,df2),{
i <- pmatch(Y,B)
iunmatched <- which(is.na(i))
nunmatched <- length(iunmatched)
nexcess <- length(B) - length(X)
data.frame(A = c(A,rep(NA,nunmatched)),
B = c(B,rep(NA,nunmatched)),
X = c(X[i],rep(NA,nexcess),X[iunmatched]),
Y = c(Y[i],rep(NA,nexcess),Y[iunmatched])) })
A B X Y
1 1 1 1 1
2 2 2 2 2
3 5 5 3 5
4 6 3 4 3
5 3 4 5 4
6 4 6 NA NA
7 7 7 NA NA
8 NA NA 6 6
======================原始问题=====
======================ORIGINAL Question=====
感谢您回答我的上一个问题. (http://stackoverflow.com/q/6592214/602276)
Thanks for answers to my previous question. (http://stackoverflow.com/q/6592214/602276)
要以此答案为基础,我想做一个更困难的任务的pmatch.
To build upon this answer, I want to do the pmatch for a more difficult task.
df1 <- data.frame(
A=c("x01","x02","y03","z02","x04", "x33", "z03")
B=c("A01BB01","A02BB02","C02AA05","B04CC10","C01GX02", "yyy", "zzz")
)
A B
1 x01 A01BB01
2 x02 A02BB02
3 y03 C02AA05
4 z02 B04CC10
5 x04 C01GX02
6 x33 yyy
7 z03 zzz
我的df2修改如下:
df2 <- data.frame(
X=c("a","b","c","d","e", "f"),
Y=c("A01BB","A02","C02A","B04","C01GX", "xxx")
)
X Y
1 a A01BB
2 b A02
3 c C02A
4 d B04
5 e C01GX
6 f xxx
困难是由于df1和df2的行数不同,我无法在正确的开头进行cbind
The difficulty is due to df1 and df2 has different no of rows, i cannot do cbind at the right beginning
更糟糕的是,df1和df2之间存在一些不匹配,它们对应的行应相应地得出NA.
Morover, there is some mismatch between df1 and df2, their corresponding line should results NA accordingly.
预期输出如下:
A B X Y
1 x01 A01BB01 a A01BB
2 x02 A02BB02 b A02
3 y03 C02AA05 c C02A
4 z02 B04CC10 d B04
5 x04 C01GX02 e C01GX
6 x33 yyy NA NA
7 z03 zzz NA NA
7 NA NA f xxx
您介意教我如何使用R进行操作吗?非常感谢.
Could you mind to teach me how to do it with R? Thanks a lot.
推荐答案
这并非完美的解决方案,但似乎可以解决问题:
This is not exactly an elegant solution, but it seems to do the trick:
with(c(df1,df2),{
i <- pmatch(Y,B)
iunmatched <- which(is.na(i))
nunmatched <- length(iunmatched)
nexcess <- length(B) - length(X)
data.frame(A = c(A,rep(NA,nunmatched)),
B = c(B,rep(NA,nunmatched)),
X = c(X[i],rep(NA,nexcess),X[iunmatched]),
Y = c(Y[i],rep(NA,nexcess),Y[iunmatched]))
})
输出应为:
A B X Y
1 x01 A01BB01 a A01BB
2 x02 A02BB02 b A02
3 y03 C02AA05 c C02A
4 z02 B04CC10 d B04
5 x04 C01GX02 e C01GX
6 x33 yyy <NA> <NA>
7 z03 zzz <NA> <NA>
8 <NA> <NA> f xxx
这篇关于R:pmatch来完成更困难的任务的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!