Problem on edge colour geom_edge_link colour

[jas1]

Hi , first of all; Really thanks for the awsome package.
I've seen the link: https://www.data-imaginist.com/2017/announcing-ggraph/

and I really want to give a try to the faceted graph thing,

Unluckily, at the first example got stuck as I wont get the colors. ( code below )

I ve tryed in linux and windows ( info at the end )

the example

library(ggraph)
library(igraph)
graph <- graph_from_data_frame(highschool)

p <- ggraph(graph, layout = 'kk') +
geom_edge_link(aes(colour = factor(year))) +
geom_node_point() +
ggtitle('An example')

p

Session info

LINUX

R version 3.4.4 (2018-03-15)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 14.04.4 LTS

Matrix products: default
BLAS: /usr/lib/libblas/libblas.so.3.0
LAPACK: /usr/lib/lapack/liblapack.so.3.0

locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_US.UTF-8
[4] LC_COLLATE=en_US.UTF-8 LC_MONETARY=es_AR.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=es_AR.UTF-8 LC_NAME=C LC_ADDRESS=C
[10] LC_TELEPHONE=C LC_MEASUREMENT=es_AR.UTF-8 LC_IDENTIFICATION=C

attached base packages:
[1] stats graphics grDevices utils datasets methods base

other attached packages:
[1] igraph_1.1.2 ggraph_1.0.1 ggplot2_2.2.1

loaded via a namespace (and not attached):
[1] Rcpp_0.12.16 bindr_0.1.1 magrittr_1.5 units_0.5-1 MASS_7.3-50
[6] munsell_0.4.3 viridisLite_0.3.0 colorspace_1.3-2 R6_2.2.2 rlang_0.2.0
[11] udunits2_0.13 plyr_1.8.4 dplyr_0.7.4 tools_3.4.4 grid_3.4.4
[16] gtable_0.2.0 ggforce_0.1.2 lazyeval_0.2.0 digest_0.6.12 assertthat_0.2.0
[21] tibble_1.4.2 bindrcpp_0.2.2 gridExtra_2.3 tweenr_0.1.5 viridis_0.5.1
[26] ggrepel_0.8.0 glue_1.2.0 labeling_0.3 compiler_3.4.4 pillar_1.2.1
[31] scales_0.4.1 pkgconfig_2.0.1

WINDOWS

R version 3.4.4 (2018-03-15)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 7 x64 (build 7601) Service Pack 1

Matrix products: default

locale:
[1] LC_COLLATE=Spanish_Spain.1252 LC_CTYPE=Spanish_Spain.1252 LC_MONETARY=Spanish_Spain.1252 LC_NUMERIC=C
[5] LC_TIME=Spanish_Spain.1252

attached base packages:
[1] stats graphics grDevices utils datasets methods base

other attached packages:
[1] igraph_1.2.1 ggraph_1.0.1 ggplot2_2.2.1

loaded via a namespace (and not attached):
[1] Rcpp_0.12.17 bindr_0.1.1 magrittr_1.5 units_0.5-1 MASS_7.3-50 tidyselect_0.2.4
[7] munsell_0.4.3 viridisLite_0.3.0 colorspace_1.3-2 R6_2.2.2 rlang_0.2.1 udunits2_0.13
[13] plyr_1.8.4 dplyr_0.7.5 tools_3.4.4 grid_3.4.4 gtable_0.2.0 ggforce_0.1.2
[19] yaml_2.1.19 lazyeval_0.2.1 digest_0.6.15 assertthat_0.2.0 tibble_1.4.2 bindrcpp_0.2.2
[25] gridExtra_2.3 purrr_0.2.5 tweenr_0.1.5 viridis_0.5.1 ggrepel_0.8.0 glue_1.2.0
[31] labeling_0.3 compiler_3.4.4 pillar_1.2.3 scales_0.5.0 pkgconfig_2.0.1

[thomasp85]

What is the issue exactly? Are you getting a plot but without colour?

[jas1]

Thanks for the quick response.
Exactly, I'm not having any colour on the plots.

what i get:

what i expect:

[jas1]

got it working, nevertheless i think the issue its " still open ".
tests done:

library(ggraph)
library(igraph)
graph <- graph_from_data_frame(highschool)

p <- ggraph(graph, layout = 'kk') + 
  geom_edge_link(aes(colour = factor(year))) + 
  geom_node_point() + 
  ggtitle('An example')

p

# --------

p2 <- ggraph(graph, layout = 'kk') + 
    geom_edge_link(aes(edge_colour = factor(year))) + 
    geom_node_point() + 
    ggtitle('An example')

p2

# --------


p3 <- ggraph(graph, layout = 'kk') + 
    geom_edge_link(aes(edge_colour = factor(year),colour=factor(year))) + 
    geom_node_point() + 
    ggtitle('An example')

p3

the difference between plot & plot 2 its the colour vs edge_colour

the difference between vs plot 3 , its that its spacified both edge_colour + colour

may be some variable override its in the code

hope it helps :D

[thomasp85]

That seems super strange. I’ve never seen this behaviour before. I’ll look into it but have some prescient priorities elsewhere at the moment

[jas1]

Thanks for the quick response,
Made it to facet the graphs with colors so im not in any hurry =)
Nevertheless the behaviour its quite strange; send you the examples with the outputs as they might help you debug .

Feel free to lower the priority or if needed close. ( no suggest to close ase its weird behaviour )

keep the awsome work :D

[sjfox]

I'm actually having the exact same issue or similar issue. Reverting to version 1.0.0 doesn't fix the issue either, so I'm quite confused.

Following the first example here (https://www.data-imaginist.com/2017/ggraph-introduction-edges/) doesn't work for coloring edges. Here are three attempts:

No color

ggraph(hairball, layout = 'kk') +
geom_edge_link(aes(colour = year))

ggraph(hairball, layout = 'kk') +
geom_edge_link(aes(edge_colour = year))

Color works

ggraph(hairball, layout = 'kk') +
geom_edge_link(aes(color = year, edge_color = year))

but get this warning: "Warning: Ignoring unknown aesthetics: edge_color
Scale for 'edge_colour' is already present. Adding another scale for 'edge_colour', which will replace the existing scale."

In my personal example, I get this error: "Error in guide_train.edge_colourbar(guide, scale, output) :
unused argument (output)"

Not sure if that's related or not to the other issues...

[thomasp85]

I’m beginning to think this is due to version incompatibilities between ggraph and ggplot2 - does it persist if you downgrade to CRAN versions for both packages?

[sjfox]

That makes sense, but I'm having trouble downgrading both. When I downgrade ggplot2 to 2.0/2.1 I get this error trying to install either ggraph version: "Error : object ‘FacetWrap’ is not exported by 'namespace:ggplot2' "

Any ideas?

[thomasp85]

You need 2.2.1, which is the lavest on CRAN

[sjfox]

Ah I was confused at what you meant. I am using both of the most recent CRAN versions for ggplot2 and ggraph, and that's where the original issue is happening. I thought you were asking to try downgrading both.

[thomasp85]

One of your warnings indicated that you were using the development version of ggplot2.

Can you reproduce the issue with fresh installs from CRAN

[sjfox]

I just tried this on a code ocean capsule, and am still not getting any color to the edges. I believe those are fresh CRAN installs, but here are the versions:
ggplot2: 2.2.1
igraph: 1.2.1
ggraph: 1.0.1

[aterhorst]

I can confirm I have same problem. Can only render coloured edges using geom_edge_link(aes(edge_colour = factor(year),colour=factor(year))).

R version 3.5.0
ggplpt2 2.2.1
ggraph 1.0.1
igraph 1.2.1

[thomasp85]

This turned out to be a regression in the latest ggforce release... Installing ggforce from GitHub will solve it (I'll work on making a hotfix for the cran version as well, as the next proper ggforce release is some time away)

[DanielIAvila]

I am experiencing this exact same issue. In my graph I have specified a color under E(g)$color that I want to use, and it is not working. It is taking the default colors used in ggplot2.

I have tried both the combination and stand-alone version and it is not working. I have tried it also for the nodes and it is not working either.

ggraph(g, layout = layout_matrix) +
  geom_edge_link(aes(edge_colour=factor(E(g)$colour), colour=factor(E(g)$colour)), show.legend = FALSE) +
  geom_node_point(aes(size = size, colour = color), show.legend = FALSE)

R version 4.3.3 (2024-02-29 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19042)

other attached packages:
 [1] lubridate_1.9.3    forcats_1.0.0      stringr_1.5.1      purrr_1.0.2       
 [5] readr_2.1.5        tidyr_1.3.1        tibble_3.2.1       tidyverse_2.0.0   
 [9] RColorBrewer_1.1-3 ggraph_2.2.1       ggplot2_3.5.0      igraph_2.0.3      
[13] jsonlite_1.8.8     readxl_1.4.3       dplyr_1.1.4        openalexR_1.3.1   

loaded via a namespace (and not attached):
 [1] tidyselect_1.2.1   viridisLite_0.4.2  farver_2.1.1       viridis_0.6.5     
 [5] fastmap_1.1.1      tweenr_2.0.3       timechange_0.3.0   lifecycle_1.0.4   
 [9] sf_1.0-16          magrittr_2.0.3     compiler_4.3.3     rlang_1.1.3       
[13] progress_1.2.3     tools_4.3.3        utf8_1.2.4         ggsignif_0.6.4    
[17] prettyunits_1.2.0  labeling_0.4.3     graphlayouts_1.1.1 bit_4.0.5         
[21] classInt_0.4-10    curl_5.2.1         abind_1.4-5        KernSmooth_2.23-22
[25] withr_3.0.0        grid_4.3.3         polyclip_1.10-6    fansi_1.0.6       
[29] ggpubr_0.6.0       e1071_1.7-14       colorspace_2.1-0   scales_1.3.0      
[33] MASS_7.3-60.0.1    cli_3.6.2          crayon_1.5.2       generics_0.1.3    
[37] rstudioapi_0.15.0  httr_1.4.7         tzdb_0.4.0         DBI_1.2.2         
[41] cachem_1.0.8       ggforce_0.4.2      proxy_0.4-27       parallel_4.3.3    
[45] cellranger_1.1.0   vctrs_0.6.5        carData_3.0-5      car_3.1-2         
[49] hms_1.1.3          bit64_4.0.5        rstatix_0.7.2      ggrepel_0.9.5     
[53] units_0.8-5        glue_1.7.0         stringi_1.8.3      gtable_0.3.4      
[57] munsell_0.5.0      pillar_1.9.0       R6_2.5.1           tidygraph_1.3.1   
[61] vroom_1.6.5        backports_1.4.1    memoise_2.0.1      broom_1.0.5       
[65] class_7.3-22       Rcpp_1.0.12        gridExtra_2.3      pkgconfig_2.0.3