score:0
As already mentioned in the comments, you might want to give networkD3
a shot.
Here is an example based on the sample data you provide.
# Create nodes and links data.frames
nodes <- data.frame(name = unique(unlist(hc_dat[, 1:2])))
links <- data.frame(
source = match(hc_dat$from, nodes$name) - 1,
target = match(hc_dat$to, nodes$name) - 1,
value = hc_dat$N)
# Draw a Sankey diagram
library(networkD3)
sankeyNetwork(
Links = links, Nodes = nodes,
Source = "source", Target = "target", Value = "value", NodeID = "name",
fontSize = 16, fontFamily = "sans-serif", nodeWidth = 30, nodePadding = 30)
score:3
Sankey from A->B and from B->C can be done by re-defining your underlying data:
hc_dat <- data.frame(from = c("A", "B"),
to = c("B", "C"), N = c(7, 5))
Similarly, you can define node from A->C
hc_dat <- data.frame(from = c("A", "B", "A"),
to = c("B", "C", "C"), N = c(5, 5, 7))
This does not render a nice plot, though.
Source: stackoverflow.com
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