search for: edges_table_test

...mily="Helvetica", + vertex.label.font=1, + edge.curved=0.5, + edge.width= network, + layout=layout_with_mds(.)) Error in intI(i, n = x at Dim[1], dn[[1]], give.dn = FALSE) : Index gr??er als maximales 6 Reproducible example: 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) temp<-cluster_optimal(network) temp<-cbind(membership=temp$membership, N...

...> + edge.width= network, > > + layout=layout_with_mds(.)) > > Error in intI(i, n = x at Dim[1], dn[[1]], give.dn = FALSE) : > > Index gr??er als maximales 6 > > > > > > Reproducible example: > > > > 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) > > > > > > temp<-clus...

...layout_with_mds(.)) >> >> Error in intI(i, n = x at Dim[1], dn[[1]], give.dn = FALSE) : >> >> ? Index gr??er als maximales 6 >> >> >> >> >> >> Reproducible example: >> >> >> >> 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) >>...

...anisation 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") # Network attributes network <- graph_from_data_frame(aes_collapsed, directed= FALSE, vertices = details) temp<-cluster_optimal(network) temp<-cbind(membership=temp$membe...

...+???? edge.width= network, > > +???? layout=layout_with_mds(.)) > > Error in intI(i, n = x at Dim[1], dn[[1]], give.dn = FALSE) : > > ? Index gr??er als maximales 6 > > ? > > ? > > Reproducible example: > > ? > > 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) > > ? > > ? > > temp...

...), 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...

...t;% > ? 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") > > # Network attributes > network <- graph_from_data_frame(aes_collapsed, directed= FALSE, > ???????????????????????????????? vertices = details) > > > temp<-cluster_optimal(netwo...

...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") > > > > # Network attributes > > network <- graph_from_data_frame(aes_collapsed, directed= FALSE, > > ???????????????????????????????? vertices = details) > > > >...

...> > 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????????...

...gards > 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...

...> > > 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??...

...ar='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") > > > > # Network attributes > > network <- graph_from_data_frame(aes_collapsed, directed= FALSE, > > vertices = details) > > > > &...