# Re: [R] subset with multiple criteria

From: <jgarcia_at_ija.csic.es>
Date: Mon, 23 Jun 2008 19:49:26 +0200 (CEST)

The closest answer to what I really need is that of Jim Holtman, but it does not seem to work correctly as it does not check that the two conditions (equal East, and equal North) apply simultaneously for each individual row. e.g, let's suposse E.coor and subset.coor are exactly:

> E.coor

east north dat

```1  582650 4248850 0.8316848
2  582750 4248850 0.7230272
3  582850 4248850 0.3250818
4  582950 4248850 0.6144006
5  583050 4248850 0.8706312
6  583150 4248850 0.2149651
7  583250 4248850 0.1659519
8  583350 4248850 0.2145174
9  583450 4248850 0.1615151
10 582950 4248850 0.9370766
```

> subset.coor

east north newdat

```1 582650 4248850    1.2
4 582950 4248850    2.5
6 583150 4248850    0.6
```

> E.coor[E.coor\$east %in% subset.coor\$east & E.coor\$north %in%
subset.coor\$north,]

east north dat

```1  582650 4248850 0.8316848
4  582950 4248850 0.6144006
6  583150 4248850 0.2149651
10 582950 4248850 0.9370766

```

while I didn't intent to get the row 10

So, I can not use this syntax to substitute E.coor[c(1,4,6),"dat"] by the new corresponding values subset.coor[,"newdat"].

I'm Sorry for my previously badly posed problem.

Javier

> You can also do this:
>
>> E[(E\$east %in% sub\$east) & (E\$north %in% sub\$north),]
> east north dat
> 1 582650 4248850 0.8316848
> 7 583250 4248850 0.1659519
>>
>
>
> On Mon, Jun 23, 2008 at 12:32 PM, <jgarcia_at_ija.csic.es> wrote:
>> This should be theoretically very simple, but I dont get the elegant
>>
>> I've got a long (thousands of rows) data frame:
>>
>>> E.coor[1:10,]
>> east north dat
>> 1 582650 4248850 0.8316848
>> 2 582750 4248850 0.7230272
>> 3 582850 4248850 0.3250818
>> 4 582950 4248850 0.6144006
>> 5 583050 4248850 0.8706312
>> 6 583150 4248850 0.2149651
>> 7 583250 4248850 0.1659519
>> 8 583350 4248850 0.2145174
>> 9 583450 4248850 0.1615151
>> 10 583550 4248850 0.9370766
>>
>> and need to extract those with the coordinates coinciding with those in
>> a
>> smaller data frame (about one hundred rows):
>>
>>> subset.coor
>> east north
>> 20 584550 4248850
>> 21 584650 4248850
>> 22 584750 4248850
>> 23 584850 4248850
>> 24 584950 4248850
>> 25 585050 4248850
>>
>> i.e, I need the ~ one hundred E.coor rows that appear in subset.coor
>>
>> Could you help with this.
>>
>>
>> Best regards,
>> Javier
>> ---------
>>
>> ______________________________________________
>> R-help_at_r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>
>
> --
> Jim Holtman
> Cincinnati, OH
> +1 513 646 9390
>
> What is the problem you are trying to solve?
>

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https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Mon 23 Jun 2008 - 17:49:11 GMT

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