Reputation:
I found the R riverplot
package very handy to make Sankey/Minard charts. The output chart is great, including the position of the nodes and the width of the edges.
But, I have a problem with the colors. I assigned colors through a "col" column in the nodes, but the output colors do not match at all what I indicated. I tried experimentally to remove all colors, assign a single color at a time, then add a second, and so on, but I've been unable to find any logic in the erroneous assignments. It just seems completely random, even adding colors that I are not part of the specified list.
For my ease of handling, I loaded the nodes and edges as two separate files.
Below is my reproducible example:
#######################
R CODE:
#######################
library(riverplot)
ruk_sankey_edges <- read.table("/.../ruk_sankey_edges.csv", header = TRUE, na.strings = "''", sep = ";", dec=".")
ruk_sankey_nodes <- read.table("/.../ruk_sankey_nodes.csv", header = TRUE, na.strings = "''", sep = ";", dec=".")
nodes <- ruk_sankey_nodes
edges <- ruk_sankey_edges
colnames( nodes ) <- c( "ID", "x", "y", "col")
colnames( edges ) <- c( "ID", "N1", "N2", "Value")
river <- makeRiver( nodes, edges, node_labels = NULL, node_xpos = nodes$x, node_ypos = nodes$y)
style <- list(col = nodes$col )
riverplot(river, lty = 0, default_style = style, srt = 0,
node_margin = 0.1, nodewidth = 1, plot_area = 0.8, nsteps = 50,
add_mid_points = NULL, yscale = "auto")
#######################
AND THE DATA FILES:
#######################
ruk_sankey_nodes.csv :
ID;X;Y;col
A1;5;70;gray
A2;10;90;red
A3;10;65;gray
A4;20;85;gray
A5;30;105;green
A6;30;95;cyan
A7;30;85;mangenta
A8;30;75;yellow
A9;20;45;gray
A10;30;60;blue
A11;30;40;black
#######################
ruk_sankey_edges.csv :
ID;ID1;ID2;Value
E1;A1;A3;39159
E2;A1;A2;8200
E3;A4;A8;2942
E4;A4;A7;1608
E5;A4;A6;3039
E6;A4;A5;3897
E7;A3;A9;27673
E8;A3;A4;11486
E9;A9;A11;22235
E10;A9;A10;5438
#######################
Does anyone have a suggestion? Or is able to obtain the indicated colors?
Thank you very much,
Patrick
Upvotes: 1
Views: 937
Reputation: 188
alternatively use
stringsAsFactors= FALSE
in your 'nodes' data frame. This is proposed in the Reference Manual: see the examples on page 7 for 'makeriver()' styles.
Upvotes: 2
Reputation: 7654
In your nodes data frame (as in nodes.df below), convert the col
variable, which is probably a factor, to character. riverplot
() gets confused!
nodes.df$col <- as.character(nodes.df$col)
Upvotes: 3