I have the code below which im trying to make into a circular diagram using the amazing package circlize
I have read the vigenette and admit some of it has gone over my head a bit,
I was wondering if there is a quick way to remove all the labels on my diagram including tick marks and just add back in AUDI, VOLVO and BMW in light grey at the same angle to the sector as per this example
library (dplyr)
library(circlize)
df = read.table(textConnection("
Brand_from model_from Brand_to Model_to
VOLVO s80 BMW 5series
BMW 3series BMW 3series
VOLVO s60 VOLVO s60
VOLVO s60 VOLVO s80
BMW 3series AUDI s4
AUDI a4 BMW 3series
AUDI a5 AUDI a5
"), header = TRUE, stringsAsFactors = FALSE)
# Add customer satisfaction (1 being positive, 0 being negative)
df <- df %>%
mutate(Customer.Sat = c("POS","NEG","NEG","POS","POS","NEG","NEG")) %>%
select(Brand_from,Brand_to,Customer.Sat )
# Set the colour Scheme for the association
col = c("NEG" = "red",
"POS" = "green")
diffHeight = c("POS" = -0.02,
"NEG" = 0.04)
# Build the Chord Diagram
chordDiagram(df[1:2],
col = col[df$Customer.Sat],
diffHeight = diffHeight[df$Customer.Sat])
circos.clear()
I see that it is possible based on page 17 of the vignette using the code
# Rotates the Labels so they are 90 Degrees to the chord diagram
circos.trackPlotRegion(track.index = 1, panel.fun = function(x, y) {
xlim = get.cell.meta.data("xlim")
ylim = get.cell.meta.data("ylim")
sector.name = get.cell.meta.data("sector.index")
circos.text(mean(xlim), ylim[1] + .1, sector.name, facing = "clockwise", niceFacing = TRUE, adj = c(0, 0.5))
circos.axis(h = "top", labels.cex = 0.5, major.tick.percentage = 0.2, sector.index = sector.name, track.index = 2)
}, bg.border = NA)
I have seen the answer to Rotate labels in a chordDiagram (R circlize) which is very similiar
However this does not remove the existing labels such as tick marks and names of the sectors.
I actually had the same problem that the "old" labels were still there when I wanted the rotate labels. The trick for me was to use
chordDiagram(as.matrix(data).....etc.
so when I explicitly said I had a matrix it worked.
You might try
which gives you