hi
I have been trying to plot this kind of seat diagram for a long time. Thank you for such a powerful tool. It works well.
I have a confusion though. It seems to me that the order of parties in the graph is the same, or has to be the same as the order in the data, d or d2. As you did in your examples, Party in d is a factor, but the labels seems not work.
My codes are like this:
d <- data.frame(Party = factor(c("V","S","MP","KD","C","FP","M","SD","NYD"),
levels = c("V","S","MP","KD","C","FP","M","SD","NYD")),
Number = c(21,113,25,16,22,19,84,47,2))
party.color.scale.color <- scale_color_manual(values = c("V" = "#b00000",
"S" = "#EE2020",
"MP" = "#80AA4E",
"SD" = "#fedf09",
"NYD" = "grey50",
"C" = "#39944A",
"FP" = "#0069b4",
"KD" = "#2D338E",
"M" = "#52bcec"),
breaks = c("V","S","MP","KD","C","FP","M","SD","NYD"))
p <- ggparliament(d
,party = Party
,seats1 = Number
,style = "dots"
,label = "both"
,size = 4
,nrows = 10
,total = 6
)
p <- p + theme_void() + theme(legend.title = element_blank())
p <- p + party.color.scale.color
p
Both color and seat number is correct. That was done by manually sorting the parties in d. Also, when I chose label = "both", the party names and seat number are mismatched.
Any suggestion how I can improve this?
Thanks again.
this should be fixed in the new pull request. Parties should be plotted by number of seats and then whether or not they are "in power/government" which can be specified (see README)
hi I have been trying to plot this kind of seat diagram for a long time. Thank you for such a powerful tool. It works well. I have a confusion though. It seems to me that the order of parties in the graph is the same, or has to be the same as the order in the data,
d
ord2
. As you did in your examples,Party
ind
is afactor
, but thelabels
seems not work. My codes are like this:Both color and seat number is correct. That was done by manually sorting the parties in
d
. Also, when I choselabel = "both"
, the party names and seat number are mismatched. Any suggestion how I can improve this? Thanks again.