> DATA

            [,1]

 [1,] -2.0314185

 [2,] -0.3594015

 [3,] -1.3225832

 [4,]  1.5050892

 [5,] -0.4535558

 [6,]  3.6335036

 [7,]  5.1965750

 [8,]  4.2923129

 [9,]  6.0913187

[10,]  4.9131070

> RESA

           [,1]       [,2]       [,3]       [,4]       [,5]

[1,] -2.0314185  1.5050892 -1.3225832 -1.3225832 -2.0314185

[2,] -0.3594015 -0.3594015  4.2923129 -0.3594015 -0.4535558

[3,]  4.9131070  4.9131070 -2.0314185  4.9131070  3.6335036

[4,]  3.6335036 -0.4535558  3.6335036  1.5050892 -0.3594015

[5,]  1.5050892  6.0913187 -0.3594015  4.2923129  6.0913187

[6,]  6.0913187  3.6335036  5.1965750 -2.0314185  5.1965750

[7,] -0.4535558  5.1965750  6.0913187  3.6335036  4.9131070

First,

RESA matrix consists of resampling DATA matrix. I would like to know the row
number of RESA matrix's value in DATA matrix.

For example, RESA[1,1] = -2.0314185 and its row number in DATA matrix is 1.

                  RESA[1,3]=4.9131070 and its row number in DATA matrix is
10.

 

Is there a simple way to know the row number?

I

> clus

     col1 col2 col3 col4 col5

[1,]    1    1    1    1    1

[2,]    2    2    0    2    1

[3,]    2    1    1    2    2

[4,]    1    2    2    1    2

[5,]    3    1    2    2    3

[6,]    3    3    0    3    2

[7,]    1    3    2    0    0

Second, I want to count columns of each row without 0

i.e. The number of clus[2,]'s columns is 4. 

 

I solve this with next code.

number <- c(rep(1,5))  # 5 is total column number.

sum(number[clus[2,]!=0]) 

Is there more simple method?

 

Finally, clus[2,]'s mode is 2. I try to find function to know mode, but I
have failed.

What's the function to know mode?


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