[R] extract rows having negative values

[Manisha Brahmachary]

Thank you Bill, your suggestion works just fine!!!

-----Original Message-----
From: Bill.Venables at csiro.au [mailto:Bill.Venables at csiro.au] 
Sent: Sunday, June 07, 2009 3:23 AM
To: Manisha Brahmachary; r-help at r-project.org
Subject: RE: extract rows having negative values

rownames(X)[apply(X, 1, function(r) any(r < 0))]

... if I understand you correctly.
________________________________________
From: r-help-bounces at r-project.org [r-help-bounces at r-project.org] On Behalf
Of Manisha Brahmachary [mb3058 at c2b2.columbia.edu]
Sent: 07 June 2009 08:54
To: r-help at r-project.org
Subject: [R] extract rows having negative values

Hello,



I have a matrix with 6 columns and 12 rows. I want to extract out those IDs
(rownames) from my matrix which have a negative values. For each ID(row) if
the negative value is even under 1 column it needs to be extracted out. I
will be grateful for any correct suggestion.





Thanks

Manisha



Here is the matrix that I am working on:





ID

A

B

C

D

E

F

1

-4.18972

-3.8946

-1.14888

-1.88406

-8.34124

10.97497

2

11.81028

11.1054

0.85112

0.115942

-4.34124

24.97497

3

-0.18972

-1.8946

1.85112

-4.88406

-17.3412

-13.025

4

-1.18972

3.105402

-0.14888

-12.8841

-15.3412

4.974967

6

-3.18972

4.105402

24.85112

0.115942

1.658762

-11.025

7

-2.18972

-10.8946

-20.1489

-1.88406

3.658762

-11.025

8

-0.18972

-7.8946

-7.14888

-9.88406

3.658762

-9.02503

9

-5.18972

-4.8946

-12.1489

0.115942

-12.3412

10.97497

10

17.81028

9.105402

-15.1489

10.11594

19.65876

9.974967

11

538.8103

335.1054

863.8511

229.1159

520.6588

143.975

12

30.81028

18.1054

30.85112

16.11594

9.658762

13.97497








        [[alternative HTML version deleted]]

______________________________________________
R-help at r-project.org mailing list
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.