use 'apply':
> head(x.m)
V2 V3 V4 V5
[1,] 0.66 0.04 0.01 0.30
[2,] 0.02 0.89 0.09 0.00
[3,] 0.06 0.92 0.01 0.01
[4,] 0.07 0.71 0.21 0.01
[5,] 0.10 0.85 0.04 0.01
[6,] 0.91 0.04 0.02 0.02
> x.m.sort <- apply(x.m, 1, sort, decreasing = TRUE)
> head(t(x.m.sort))
[,1] [,2] [,3] [,4]
[1,] 0.66 0.30 0.04 0.01
[2,] 0.89 0.09 0.02 0.00
[3,] 0.92 0.06 0.01 0.01
[4,] 0.71 0.21 0.07 0.01
[5,] 0.85 0.10 0.04 0.01
[6,] 0.91 0.04 0.02 0.02
>
On Fri, Jan 21, 2011 at 10:07 AM, pete <pierole...@hotmail.it> wrote:
>
> hello,
> i'm pete ,how can i order rows of matrix by max to min value?
> I have a matrix of membership degrees, with 82 (i) rows and K coloumns, K
> are clusters.
> I need first and second largest elements of the i-th row.
>
> for example
> 1 0.66 0.04 0.01 0.30
> 2 0.02 0.89 0.09 0.00
> 3 0.06 0.92 0.01 0.01
> 4 0.07 0.71 0.21 0.01
> 5 0.10 0.85 0.04 0.01
> 6 0.91 0.04 0.02 0.02
> 7 0.00 0.01 0.98 0.00
> 8 0.02 0.05 0.92 0.01
> 9 0.05 0.54 0.40 0.01
> 10 0.02 0.06 0.92 0.00
> 11 0.05 0.55 0.39 0.01
> 12 0.77 0.02 0.01 0.20
> 13 0.95 0.01 0.00 0.04
> 14 0.43 0.33 0.18 0.06
> 15 0.79 0.10 0.08 0.03
> 18 0.02 0.04 0.94 0.00
> 20 0.09 0.15 0.76 0.01
> 21 0.80 0.10 0.07 0.03
> 22 0.06 0.15 0.79 0.01
> 23 0.05 0.01 0.00 0.94
> 24 0.83 0.02 0.01 0.15
> 25 0.87 0.05 0.03 0.04
> 27 0.76 0.10 0.11 0.03
> 28 0.17 0.68 0.10 0.05
> 29 0.10 0.01 0.00 0.90
> 30 0.09 0.29 0.60 0.01
> 31 0.05 0.01 0.00 0.94
> 32 0.53 0.04 0.01 0.43
> 33 0.85 0.04 0.02 0.09
> 34 0.82 0.06 0.02 0.10
> 35 0.76 0.07 0.02 0.14
> 37 0.36 0.31 0.30 0.02
> 38 0.01 0.02 0.97 0.00
> 39 0.12 0.04 0.02 0.82
> 40 0.02 0.00 0.00 0.97
> 41 0.57 0.15 0.02 0.25
> 42 0.14 0.03 0.02 0.82
> 43 0.89 0.06 0.01 0.03
> 44 0.02 0.00 0.00 0.98
> 45 0.61 0.02 0.01 0.36
> 46 0.03 0.00 0.00 0.97
> 47 0.88 0.07 0.02 0.03
> 48 0.06 0.60 0.32 0.02
> 49 0.01 0.98 0.01 0.00
> 50 0.06 0.88 0.05 0.01
> 51 0.01 0.05 0.93 0.00
> 52 0.02 0.08 0.90 0.00
> 53 0.11 0.01 0.01 0.87
> 54 0.27 0.01 0.00 0.72
> 55 0.94 0.03 0.01 0.02
> 58 0.45 0.41 0.05 0.09
> 59 0.12 0.61 0.22 0.05
> 60 0.26 0.07 0.02 0.64
> 61 0.17 0.19 0.62 0.02
> 62 0.08 0.00 0.00 0.92
> 63 0.02 0.94 0.03 0.00
> 64 0.08 0.01 0.00 0.91
> 65 0.98 0.01 0.00 0.01
> 67 0.22 0.69 0.08 0.01
> 68 0.96 0.02 0.00 0.02
> 69 0.96 0.02 0.01 0.01
> 71 0.00 0.01 0.98 0.00
> 72 0.56 0.05 0.01 0.37
> 73 0.10 0.01 0.01 0.88
> 74 0.91 0.01 0.00 0.08
> 75 0.36 0.38 0.21 0.05
> 76 0.15 0.40 0.44 0.01
> 77 0.02 0.06 0.91 0.00
> 78 0.48 0.43 0.03 0.06
> 79 0.51 0.02 0.01 0.45
> 80 0.04 0.01 0.00 0.95
> 81 0.47 0.03 0.01 0.49
> 82 0.98 0.01 0.00 0.01
> 83 0.05 0.01 0.01 0.93
> 84 0.03 0.00 0.00 0.96
> 85 0.76 0.07 0.01 0.15
> 86 0.95 0.03 0.01 0.01
> 88 0.03 0.00 0.00 0.96
> 90 0.79 0.13 0.02 0.06
> 91 0.37 0.50 0.05 0.09
> 92 0.86 0.10 0.02 0.02
> 93 0.13 0.82 0.03 0.01
>
>
> A[1,][order(A[1,],decreasing=TRUE)]
> [1] 0.66 0.30 0.04 0.01
>
> I want this for every row
> thank you
> --
> View this message in context:
> http://r.789695.n4.nabble.com/clustering-fuzzy-tp3229853p3229853.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help@r-project.org mailing list
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
--
Jim Holtman
Data Munger Guru
What is the problem that you are trying to solve?
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