Comments (4)
Same way as for changing ggplot2 color scales generally. Add a scale_edge_color_*()
function or a scale_color_*(aesthetics = "edge_color")
function.
from correlation.
@DominiqueMakowski any ideas?
from correlation.
yes, since the output in that case is a ggraph graph, one can modify the the aesthetic a posterior. Also, if you run visualization_recipe()
instead of plot()
, you should be able to see all the layers and the name of the arguments etc. (and you can even reproduce the plots directly in ggraph for more customization). Hope that helps
from correlation.
Here is a reprex. You should of course select more sensible colors.
library(see)
library(correlation)
library(ggraph)
#> Loading required package: ggplot2
plot(correlation(mtcars, partial = TRUE)) +
scale_edge_color_continuous(low = "blue", high = "red")
Created on 2022-09-29 with reprex v2.0.2
from correlation.
Related Issues (20)
- plot method documentation missing some parameters
- subset of variables in correlation matrix
- Extend man page HOT 2
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- Multilevel correlation changes when more correlations are computed HOT 6
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- X
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from correlation.