输入1:

"ggraph")

结果1:

name

输入2:

<- graph_from_data_frame(myedges1, vertices=myvertices,directed = T)ggraph(mygraph, layout = 'dendrogram', circular = TRUE) + geom_edge_diagonal(colour="black") +scale_edge_colour_distiller(palette = "RdPu") +geom_node_text(aes(x = x*1.05, y=y*1.05, filter = leaf, label=name,   hjust='outward', angle = -((-node_angle(x, y)+90)%%180)+90, size=3, colour=group), size=3, alpha=1) +geom_node_point(aes( x = x, y=y, filter = leaf,colour=group, size=value, alpha=0.2)) +scale_colour_manual(values= rep( brewer.pal(9,"Paired") , 30)) +scale_size_continuous( range = c(0.1,10) ) +theme_void() +theme(legend.position="none",plot.margin=unit(c(0,0,0,0),"cm")) +expand_limits(x = c(-1.3, 1.3), y = c(-1.3, 1.3))

结果2:

r语言 lm函数 算置信区间 r语言怎么算置信区间_二元置信椭圆r语言




输入3:

'dendrogram') +

结果3:

r语言 lm函数 算置信区间 r语言怎么算置信区间_线性模型_02