Reshape dataframe and create similarity matrix

Question

I have a data table, and I try Reshaping it but it doesn\'t work, how do I do this:

I have a data table:

Name | Value
-------------
Bob  | 8,9,10
-------         


        

Answer 1

The functions you are looking for are stack and contrasts.

data<-list(bob=c(8,9,10),mike=c(2,3,4),sandr=c(5,6,7))

as.data.frame(data)

  bob mike sandr
1   8    2     5
2   9    3     6
3  10    4     7

stack(data)

  values   ind
1      8   bob
2      9   bob
3     10   bob
4      2  mike
5      3  mike
6      4  mike
7      5 sandr
8      6 sandr
9      7 sandr

df<-stack(data)
contrasts(df$ind,contrasts=FALSE)[df$ind,df$ind]

      bob bob bob mike mike mike sandr sandr sandr
bob     1   1   1    0    0    0     0     0     0
bob     1   1   1    0    0    0     0     0     0
bob     1   1   1    0    0    0     0     0     0
mike    0   0   0    1    1    1     0     0     0
mike    0   0   0    1    1    1     0     0     0
mike    0   0   0    1    1    1     0     0     0
sandr   0   0   0    0    0    0     1     1     1
sandr   0   0   0    0    0    0     1     1     1
sandr   0   0   0    0    0    0     1     1     1

You can assign row names and column names and sort if desired

im<-contrasts(df$ind,contrasts=FALSE)[df$ind,df$ind] 
rownames(im)<-df$values
colnames(im)<-df$values