Re: [R] geom_edge & color
Dear Kommo Many thanks for the valuable solution. Sibylle -Original Message- From: R-help On Behalf Of Kimmo Elo Sent: Friday, March 22, 2024 12:10 PM To: r-help@r-project.org Subject: Re: [R] geom_edge & color Hi, this seems to work (assuming that your problem was the setting of colours...): --- snip --- network %>% ggraph(., layout = "auto") + # This produces an error... # geom_edge_arc(curvature=0.3, aes(width=(E(network)$weight/10), color=c("darkblue", "red")[as.factor(edge_list$relationship)], alpha=0.5)) + # ... this works :-) geom_edge_arc(curvature=0.3, aes(width=E(network)$weight/10, color=edge_list$relationship), alpha=.5) + scale_edge_color_manual(values=c("pos"="darkblue", "neg"="red")) + # This does not work either... # geom_node_point(aes(size = V(network)$hub_score*200, color= as.factor(V(network)$community))) + # ... so try this :) geom_node_point(aes(size = V(network)$hub_score*200, color=V(network)$Subcategory_type)) + geom_node_text(aes(label = V(network)$name), size=3, color="white", repel=T)+ scale_color_scico_d(palette = "batlow")+ scale_edge_width(range = c(0.2,4))+ scale_size(range = c(0.5,15)) + theme(plot.background = element_rect(fill = "black"), legend.position = "right", panel.background = element_rect(fill = "black")) --- snip --- At least in my data created with your code, the object "network" does not have an attribute "community". I use the existing "Subcategory_type" instead, because I had no time to debug this problem :-) I do not know whether this produces what you expect or want to visualise. HTH, Kimmo pe, 2024-03-22 kello 08:59 +0100, sibylle.stoec...@gmx.ch kirjoitti: > Dear community > > > > Find enclosed the full working example. > > > > Many thanks > > Sibylle > > > > Test_cat.csv > > > Names > > Subcategory_type > > sources.cyto > > source > > Factor > > > A.A > > material > > "A" > > A > > 1 > > > B.B > > material > > "B" > > B > > 1 > > > C.C > > regulation > > "C" > > C > > 1 > > > D.D > > regulation > > "D" > > D > > 1 > > > E.E > > habitat > > "E" > > E > > 1 > > > F.F > > cultural > > "F" > > F > > 1 > > > > Test_adjac.csv > > > A.A > > B.B > > C.C > > D.D > > E.E > > F.F > > > A.A > > 0 > > 0 > > 5 > > 5 > > 5 > > 5 > > > B.B > > 4 > > 0 > > 1 > > 1 > > 1 > > 1 > > > C.C > > 5 > > 5 > > 0 > > 5 > > 4 > > 2 > > > D.D > > 5 > > 0 > > 5 > > 0 > > 5 > > 3 > > > E.E > > 5 > > 1 > > 5 > > 5 > > 0 > > 4 > > > F.F > > 1 > > 2 > > 3 > > 4 > > 5 > > 5 > > > > > > Edges_table-Test.csv > > > > > Names > > target > > weight > > relationship > > > B.B > > A.A > > 4 > > pos > > > C.C > > A.A > > 5 > > pos > > > D.D > > A.A > > 5 > > neg > > > E.E > > A.A > > 5 > > pos > > > F.F > > A.A > > 1 > > pos > > > C.C > > B.B > > 5 > > pos > > > E.E > > B.B > > 1 > > pos > > > F.F > > B.B > > 2 > > neg > > > A.A > > C.C > > 5 > > pos > > > B.B > > C.C > > 1 > > pos > > > D.D > > C.C > > 5 > > pos > > > E.E > > C.C > > 5 > > pos > > > F.F > > C.C > > 3 > > pos > > > A.A > > D.D > > 5 > > neg > > > B.B > > D.D > > 1 > > pos > > > C.C > > D.D > > 5 > > pos > > > E.E > > D.D > > 5 > > pos > > > F.F > > D.D > > 4 > > pos > > > A.A > > E.E > > 5 > > pos > > > B.B > > E.E > > 1 > > pos > > > C.C > > E.E > > 4 > > pos > > &
Re: [R] geom_edge & color
.B > > F.F > > 1 > > neg > > > C.C > > F.F > > 2 > > pos > > > D.D > > F.F > > 3 > > pos > > > E.E > > F.F > > 4 > > pos > > > F.F > > F.F > > 5 > > pos > > > > > > > > #upload librairies > > library(circlize) > > library(ggplot2) > > library(igraph) > > library(tidyverse) > > library(RColorBrewer) > > library(stringi) > > library(scico) > > library(plotly) > > library(ggraph) > > > > #upload > > aes<-read.csv("Test_adjac.csv", row.names = 1) > > details<-read.csv("Test_cat.csv") > > > > > > # adjacency table > > aes_collapsed<-aes %>% > > rownames_to_column(var='Names') %>% > > tidyr::gather(target, weight, 1:ncol(aes)+1) %>% > > dplyr::filter(weight != 0) %>% > > mutate(weight = ifelse(weight == "-1", 0, weight)) # here 0 = negative > values > > > > write.csv(aes_collapsed, "edges_table-Test.csv", row.names = F) > > edge_list<-read.csv("edges_table-Test.csv") > > > > > > #create network and add some necessary attributes (vertices) for the plot > > > > network <- graph_from_data_frame(aes_collapsed, directed= FALSE, > > vertices = details) > > > > ### network and vertex with 'subcategory_type' > > > > temp<-cluster_optimal(network) > > temp<-cbind(membership=temp$membership, Names=temp$name) > > aes_collapsed <- aes_collapsed %>% > > merge(temp, by="Names") > > > > network <- network %>% > > set_edge_attr(name = "type", value = factor(aes_collapsed$Names, > > ordered = > is.ordered(V(network)$name))) %>% > > set_edge_attr(name = "membership", value = aes_collapsed$membership) > %>% > > set_edge_attr(name = "color", > > value = c(viridis::viridis(21)) > > [match(E(.)$type, c(factor(V(.)$name)))]) %>% > > set_vertex_attr(name = "trans_v_net", value = c(transitivity(., type = > "local"))) %>% > > set_vertex_attr(name = "hub_score", value = c(hub_score(.)$vector)) %>% > > set_vertex_attr(name = "color", > > value = c(viridis::viridis((21))) > > [match(V(.)$name, c(factor(V(.)$name)))]) %>% > > set_vertex_attr(name= "community", > value=cluster_optimal(.)$Subcategory_type) > > > > clrs<-scico(3, palette = "batlow") > > > > windowsFonts(Helvetica = windowsFont("Helvetica")) > > > > par(bg="black") > > network %>% plot( > > vertex.color=clrs[V(.)$community], > > vertex.size=V(.)$hub_score*20, > > vertex.frame.color=V(.)$color, > > vertex.label.color="white", > > vertex.label.cex=0.4, > > vertex.label.family="Helvetica", > > vertex.label.font=0.75, > > edge.curved=0.5, > > edge.width= E(.)$weight, > > edge.color = ifelse(edge_list$relationship == "pos", "blue", "red"), > > layout=layout_with_mds(.)) > > > > tiff("figures/Test_network_bysubcatecory.tiff", width=1000, height=900, > res=120) > > network %>% > > ggraph(., layout = "auto")+ > > geom_edge_arc(curvature=0.3, aes(width=(E(network)$weight/10), > color=c("darkblue", "red")[as.factor(edge_list$relationship)], > alpha=0.5)) + > > geom_node_point(aes(size = V(network)$hub_score*200, color= > as.factor(V(network)$community))) + > > geom_node_text(aes(label = V(network)$name), size=3, color="white", > repel=T)+ > > scale_color_scico_d(palette = "batlow")+ > > scale_edge_width(range = c(0.2,4))+ > > scale_size(range = c(0.5,15)) + > > theme(plot.background = element_rect(fill = "black"), > > legend.position = "right", > > panel.background = element_rect(fill = "black")) > > dev.off() > > > > -Original Message- > From: R-help On Behalf Of Kimmo Elo > Sent: Thursday, March 21, 2024 10:51 AM > To: r-help@r-project.org > Subject: Re: [R] geom_edge & color > > > > Dear Sib
Re: [R] geom_edge & color
Dear community Find enclosed the full working example. Many thanks Sibylle Test_cat.csv Names Subcategory_type sources.cyto source Factor A.A material "A" A 1 B.B material "B" B 1 C.C regulation "C" C 1 D.D regulation "D" D 1 E.E habitat "E" E 1 F.F cultural "F" F 1 Test_adjac.csv A.A B.B C.C D.D E.E F.F A.A 0 0 5 5 5 5 B.B 4 0 1 1 1 1 C.C 5 5 0 5 4 2 D.D 5 0 5 0 5 3 E.E 5 1 5 5 0 4 F.F 1 2 3 4 5 5 Edges_table-Test.csv Names target weight relationship B.B A.A 4 pos C.C A.A 5 pos D.D A.A 5 neg E.E A.A 5 pos F.F A.A 1 pos C.C B.B 5 pos E.E B.B 1 pos F.F B.B 2 neg A.A C.C 5 pos B.B C.C 1 pos D.D C.C 5 pos E.E C.C 5 pos F.F C.C 3 pos A.A D.D 5 neg B.B D.D 1 pos C.C D.D 5 pos E.E D.D 5 pos F.F D.D 4 pos A.A E.E 5 pos B.B E.E 1 pos C.C E.E 4 pos D.D E.E 5 pos F.F E.E 5 pos A.A F.F 5 pos B.B F.F 1 neg C.C F.F 2 pos D.D F.F 3 pos E.E F.F 4 pos F.F F.F 5 pos #upload librairies library(circlize) library(ggplot2) library(igraph) library(tidyverse) library(RColorBrewer) library(stringi) library(scico) library(plotly) library(ggraph) #upload aes<-read.csv("Test_adjac.csv", row.names = 1) details<-read.csv("Test_cat.csv") # adjacency table aes_collapsed<-aes %>% rownames_to_column(var='Names') %>% tidyr::gather(target, weight, 1:ncol(aes)+1) %>% dplyr::filter(weight != 0) %>% mutate(weight = ifelse(weight == "-1", 0, weight)) # here 0 = negative values write.csv(aes_collapsed, "edges_table-Test.csv", row.names = F) edge_list<-read.csv("edges_table-Test.csv") #create network and add some necessary attributes (vertices) for the plot network <- graph_from_data_frame(aes_collapsed, directed= FALSE, vertices = details) ### network and vertex with 'subcategory_type' temp<-cluster_optimal(network) temp<-cbind(membership=temp$membership, Names=temp$name) aes_collapsed <- aes_collapsed %>% merge(temp, by="Names") network <- network %>% set_edge_attr(name = "type", value = factor(aes_collapsed$Names, ordered = is.ordered(V(network)$name))) %>% set_edge_attr(name = "membership", value = aes_collapsed$membership) %>% set_edge_attr(name = "color", value = c(viridis::viridis(21)) [match(E(.)$type, c(factor(V(.)$name)))]) %>% set_vertex_attr(name = "trans_v_net", value = c(transitivity(., type = "local"))) %>% set_vertex_attr(name = "hub_score", value = c(hub_score(.)$vector)) %>% set_vertex_attr(name = "color", value = c(viridis::viridis((21))) [match(V(.)$name, c(factor(V(.)$name)))]) %>% set_vertex_attr(name= "community", value=cluster_optimal(.)$Subcategory_type) clrs<-scico(3, palette = "batlow") windowsFonts(Helvetica = windowsFont("Helvetica")) par(bg="black") network %>% plot( vertex.color=clrs[V(.)$community], vertex.size=V(.)$hub_score*20, vertex.frame.color=V(.)$color, vertex.label.color="white", vertex.label.cex=0.4, vertex.label.family="Helvetica", vertex.label.font=0.75, edge.curved=0.5, edge.width= E(.)$weight, edge.color = ifelse(edge_list$relationship == "pos", "blue", "red"), layout=layout_with_mds(.)) tiff("figures/Test_network_bysubcatecory.tiff", width=1000, height=900, res=120) network %>% ggraph(., layout = "auto")+ geom_edge_arc(curvature=0.3, aes(width=(E(network)$weight/10), color=c("darkblue", "red")[as.factor(edge_list$relationship)], alpha=0.5)) + geom_node_point(aes(size = V(network)$hub_score*200, color= as.factor(V(network)$community))) + geom_node_text(aes(label = V(network)$name), size=3, color="white", repel=T)+ scale_color_scico_d(palette = "batlow")+ scale_edge_width(range = c(0.2,4))+ scale_size(range = c(0.5,15)) + theme(plot.background = element_rect(fill = "black"), legend.position = "right", panel.background = element_rect(fill = "black")) dev.off() -Original Message- From: R-help On Behalf Of Kimmo Elo Sent: Thursday, March 21, 2024 10:51 AM To: r-help@r-project.org Subject: Re: [R] geom_edge & color Dear Sibylle, your example is not working! E.g. no
Re: [R] geom_edge & color
Dear Sibylle, your example is not working! E.g. no data for "aes_collapsed". Best, Kimmo ke, 2024-03-20 kello 19:28 +0100, SIBYLLE STÖCKLI via R-help kirjoitti: > Dear community > > I am using ggraph to plot a network analysis. See part 2 in the working > example. > Besides different colors for different groups of nodes: > --> geom_node_point(aes(size = V(network)$hub_score*200, color= > as.factor(V(network)$community))) > I additionally want to consider different colors for different edge > groups > The grouping is defined in the edge_list$relationship: negative > relationship > = red and positive relationship = darkblue. The code is working in the > way > that the groups are separated by two colors. However, the code uses not > the > assigned colors. Does anyone have any idea how to adapt the code? > --> geom_edge_arc(curvature=0.3, aes(width=(E(network)$weight/10), > color=c("darkblue", "red")[as.factor(edge_list$relationship)], > alpha=0.5)) + > > Kind regards > Sibylle > > > > > Working example > > library(circlize) > library(ggplot2) > library(igraph) > library(tidyverse) > library(RColorBrewer) > library(stringi) > library(scico) > library(plotly) > library(ggraph) > > edges_table_Test.csv > > Names target weight relationship > B.B A.A 4 pos > C.C A.A 5 pos > D.D A.A 5 neg > E.E A.A 5 neg > F.F A.A 1 pos > C.C B.B 5 pos > E.E B.B 1 pos > F.F B.B 2 pos > A.A C.C 5 pos > B.B C.C 1 pos > D.D C.C 5 pos > E.E C.C 5 pos > F.F C.C 3 pos > A.A D.D 5 neg > B.B D.D 1 neg > C.C D.D 5 neg > E.E D.D 5 neg > F.F D.D 4 neg > A.A E.E 5 neg > B.B E.E 1 neg > C.C E.E 4 neg > D.D E.E 5 neg > F.F E.E 5 pos > A.A F.F 5 pos > B.B F.F 1 pos > C.C F.F 2 pos > D.D F.F 3 pos > E.E F.F 4 pos > F.F F.F 5 pos > > edge_list<-read.csv("edges_table_Test.csv") > > network <- graph_from_data_frame(aes_collapsed, directed= FALSE, > vertices = details) > > temp<-cluster_optimal(network) > temp<-cbind(membership=temp$membership, Names=temp$name) aes_collapsed <- > aes_collapsed %>% > merge(temp, by="Names") > > > network <- network %>% > set_edge_attr(name = "type", value = factor(aes_collapsed$Names, > ordered = > is.ordered(V(network)$name))) %>% > set_edge_attr(name = "membership", value = aes_collapsed$membership) > %>% > set_edge_attr(name = "color", > value = c(viridis::viridis(5)) > [match(E(.)$type, c(factor(V(.)$name)))]) %>% > set_vertex_attr(name = "trans_v_net", value = c(transitivity(., type = > "local"))) %>% > set_vertex_attr(name = "hub_score", value = c(hub_score(.)$vector)) %>% > set_vertex_attr(name = "color", > value = c(viridis::viridis((5))) > [match(V(.)$name, c(factor(V(.)$name)))]) %>% > set_vertex_attr(name= "community", value=cluster_optimal(.)$membership) > clrs<-scico(3, palette = "batlow") > > ### part 1: network plot > par(bg="black") > network %>% plot( > vertex.color=clrs[V(.)$community], > vertex.size=V(.)$hub_score*5, > vertex.frame.color=V(.)$color, > vertex.label.color="white", > vertex.label.cex=0.5, > vertex.label.family="Helvetica", > vertex.label.font=1, > edge.curved=0.5, > edge.width= network, > layout=layout_with_mds(.)) > > ### part 2: ggraph > tiff("figures/AES_network_bymembership.tiff", width=1000, height=700, > res=120) network %>% > ggraph(., layout = "auto")+ > geom_edge_arc(curvature=0.3, aes(width=(E(network)$weight/10), > color=c("darkblue", "red")[as.factor(edge_list$relationship)], > alpha=0.5)) + > > geom_node_point(aes(size = V(network)$hub_score*200, color= > as.factor(V(network)$community))) + > geom_node_text(aes(label = V(network)$name), size=5, color="white", > repel=T)+ > scale_color_scico_d(palette = "batlow")+ > scale_edge_width(range = c(0.2,4))+ > scale_size(range = c(0.5,20)) + > #scale_edge_color_manual(values = c(scico(21, palette="batlow")))+ > theme(plot.background = element_rect(fill = "black"), > legend.position = "right", > panel.background = element_rect(fill = "black")) > dev.off() > > __ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. __ R-help@r-project.or