在R，当阵列和mydataframe长度不相等选择从基于值数组mydataframe行 [英] in R, selecting rows from mydataframe based upon array of values when array and mydataframe are unequal length

问题描述

我有以下的数据叫GG和YY。

I have the following data called gg and yy.

> str(gg)
 num [1:1992] 128 130 132 185 186 187 188 189 190 191 ...
> str(yy)
'data.frame':   2103 obs. of  2 variables:
 $ grp  : num  128 130 132 185 186 187 188 189 190 191 ...
 $ predd: num  -0.963 -1.518 1.712 -11.286 -8.195 ...
> 

您会发现，GG的前几个值从YY比赛第几。

You'll notice that the first several values of gg match the first several from yy.

我想如果这个值YY $ GRP在GG的任何值匹配选择从YY行。问题是，GG和YY是不等长。此外，还有一些不在YY $ GRP present GG的一些值，也YY $ GRP的一些值未在$ GG p $ psent。

I would like to select rows from yy if the value yy$grp matches any value in gg. The issue is that gg and yy are of unequal length. Further, there are some values of gg that are not present in yy$grp and also some values of yy$grp not present in gg.

我似乎无法得到这个工作。它基本上是基于我所提到的指数值（GG，还是YY $ GRP）两个数据集的交集。

I can't seem to get this to work. It is basically an intersection of the two data sets based upon the index value I mentioned (gg, or yy$grp).

我试过：

inters<-intersect(gg,yy$grp)
yyint<-yy[yy$grp==inters,]

但得到以下

Warning message:
In yy$grp == inters :
  longer object length is not a multiple of shorter object length

> str(yya)
'data.frame':   28 obs. of  2 variables:
 $ grp  : num  128 130 132 185 186 187 188 189 190 191 ...
 $ predd: num  -0.963 -1.518 1.712 -11.286 -8.195 ...

YYA应该是更长的时间，按照我的计划最少。

yya should be much longer, according to my plans at least.

感谢。

推荐答案

正如我所说，我认为这是你想要什么：

As I mentioned, I think this is what you want:

yy[yy$grp %in% gg,]

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