suppressMessages(library(dplyr))
suppressMessages(library(ggplot2))
#绘制第一幅图p1
p1 <- diamonds %>%
ggplot(aes(x = color, y = price, fill = color)) +
geom_violin() +
facet_grid(clarity ~ .) +
theme_classic() +
scale_fill_brewer(palette = 'Set1')
p1
p1.png
#绘制第二幅图p2
p2 <- diamonds %>%
ggplot(aes(x = color, fill = clarity)) +
geom_bar(stat = 'count') +
scale_fill_brewer(palette = 'Set1') +
theme_bw()
p2
p2.png
#绘制第三幅图p3
p3 <- diamonds %>%
ggplot(aes(x = color, fill = clarity)) +
geom_bar(stat = 'count', position = 'fill') +
scale_fill_brewer(palette = 'Set3') +
theme_bw()
p3
p3.png
#绘制第四幅图p4
p4 <- diamonds %>%
ggplot(aes(x = color, fill = clarity)) +
geom_bar(stat = 'count') +
coord_polar() +
scale_fill_brewer(palette = 'Set2') +
theme_bw()
p4
p4.png
组合图方法一:cowplot包plot_grid()函数
p5 <- cowplot::plot_grid(p1, p2, p3, p4, nrow = 2, labels = LETTERS[1:4])#将p1-p4四幅图组合成一幅图,按照两行两列排列,标签分别为A、B、C、D。(LETTERS[1:4] 意为提取26个大写英文字母的前四个:A、B、C、D)
p5
p5.png
组合图方法二:ggpubr包ggarrange()函数
p6 <- ggpubr::ggarrange(p1, p2, p3, p4, nrow = 2, ncol = 2, labels = c('A', 'B', 'C', 'D'), font.label = list(color = 'red'))#将p1-p4四幅图组合成一幅图,按照两行两列排列,标签分别为A、B、C、D,颜色为红色(通过font.label = list()修改),无法通过label.color = 'red'或其他方式修改。
p6
p6.png
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