WAW - 1 month ago 23

R Question

I have two binary dataframes

`c(0,1)`

Lets say

`DF1`

`DF1 <- data.frame(a=c(0,0,1,0),`

b=c(1,0,1,0),

c=c(1,1,1,1))

and

`DF2`

`DF2 <- data.frame(a=c(0,0,0,0),`

b=c(1,0,1,0),

c=c(1,0,1,1))

What I am looking is a single Jaccard similarity coefficient between the two data frame (not column by column)

Could you help me with this ?

Answer

You can use `dist`

:

```
dist(t(cbind(unlist(DF1), unlist(DF2))), "binary")
# 0.2857143
```

The distance would be `1`

for `DF2 <- as.data.frame(xor(DF1, 1) +0L)`

and `0`

for `DF2 <- DF1`

.

Source (Stackoverflow)

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