Question

使用R读取明文挖掘-https://www.tidytextmining.com/nasa.html-我有以下问题：

默认情况下，节点文本颜色为黑色，我已经能够全局调整颜色但是是否可以将默认颜色设置为黑色，而将其他颜色设置为基于关键字？

library(ggplot2)
library(igraph)
library(ggraph)

set.seed(1234)
title_word_pairs %>%
 filter(n >= 250) %>%
 graph_from_data_frame() %>%
 ggraph(layout = "fr") +
 geom_edge_link(aes(edge_alpha = n, edge_width = n)
 , edge_colour = "cyan4") +
 geom_node_point(size = 5) +
 geom_node_text(aes(label = name), repel = TRUE
 , point.padding = unit(0.2, "lines"), colour="red") +
 theme_void()

在上图中，“ land”和“ data”将为红色，而所有其他文本将为黑色。

Answer 1

在没有可重复的示例的情况下，我经历了link，并制作了一个小的数据集来说明我的解决方案。

使用ggplot数据创建颜色列表：

在这里，我创建了没有节点，文本等的igraph，然后使用其数据列出了所需的颜色。

library(dplyr)
library(widyr)
library(ggplot2)
library(igraph)
library(ggraph)

title_word_pairs1 <- structure(list(item1 = c("phase", "ges", "phase", "1", "phase", 
                                              "phase", "ges", "disc", "phase", "phase"), 
                                    item2 = c("ii", "disc", "system", "version", "space",
                                              "based", "degree", "degree", "low", "power"), 
                                    n = c(2498, 1201, 948, 678, 637, 601, 582, 582, 480, 441)), 
                                row.names = c(NA, -10L), class = c("tbl_df", "tbl", data.frame"))

set.seed(1)
g <- title_word_pairs1 %>%
  filter(nnn >= 250) %>%
  graph_from_data_frame() %>%
  ggraph(layout = "fr")

mcolor <- g$data %>% mutate(mcolor = if_else(name%in%c("low", "space"), "blue", "black")) %>% select(mcolor)


g +
  geom_edge_link(aes(edge_alpha = n, edge_width = n)
                 , edge_colour = "cyan4") +
  geom_node_point(size = 5) +
  geom_node_text(aes(label = name), repel = TRUE
                 , point.padding = unit(0.2, "lines"), colour=mcolor$mcolor) +
  theme_void() + theme(legend.position="none")

^{由reprex package（v0.2.1）于2019-05-19创建}

将ggplot_build对象的颜色设置为所需的颜色：

我基本上要做的是绘制图，然后操纵ggplot对象以获得所需的颜色。

library(dplyr)
library(widyr)
library(ggplot2)
library(igraph)
library(ggraph)


title_word_pairs1 <- structure(list(item1 = c("phase", "ges", "phase", "1", "phase", 
                                              "phase", "ges", "disc", "phase", "phase"), 
                                    item2 = c("ii", "disc", "system", "version", "space",
                                              "based", "degree", "degree", "low", "power"), 
                                    n = c(2498, 1201, 948, 678, 637, 601, 582, 582, 480, 441)), 
                                row.names = c(NA, -10L), class = c("tbl_df", "tbl", data.frame"))

set.seed(1)
g <- title_word_pairs1 %>%
  filter(n >= 250) %>%
  graph_from_data_frame() %>%
  ggraph(layout = "fr") +
  geom_edge_link(aes(edge_alpha = n, edge_width = n)
                 , edge_colour = "cyan4") +
  geom_node_point(size = 5) +
  geom_node_text(aes(label = name), repel = TRUE
                 , point.padding = unit(0.2, "lines"), colour="red") +
  theme_void() + theme(legend.position="none")


g

gg <- ggplot_build(g)

gg$data[[3]] <- gg$data[[3]] %>%
                             mutate(colour = if_else(label%in%c("low", "space"), "blue", "black"))

gt <- ggplot_gtable(gg)

plot(gt)

^{由reprex package（v0.2.1）于2019-05-18创建}

ggraph根据关键字更改geom_node_text颜色

1 个答案: