I would like to generate indices to group observations based on two columns. But I want groups to be made of observation that share, at least one observation in commons. I c
Using igraph get membership, then map on names:
library(igraph)
# convert to graph, and get clusters membership ids
g <- graph_from_data_frame(df1[, c(2, 3, 1)])
myGroups <- components(g)$membership
myGroups
# A B C D E F Z X Y W V U s T
# 1 1 2 3 4 4 1 1 1 2 2 2 3 4
# then map on names
df1$group <- myGroups[df1$G1]
df1
# id G1 G2 group
# 1 1 A Z 1
# 2 2 A X 1
# 3 3 B X 1
# 4 4 B Y 1
# 5 5 C W 2
# 6 6 C V 2
# 7 7 C U 2
# 8 8 D s 3
# 9 9 E T 4
# 10 10 F T 4