> 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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