一、修改基礎圖形的樣式

library(ggplot2)

library(gcookbook) # Load gcookbook for the heightweight data set

# Create the base plot

hw_plot <- ggplot(heightweight, aes(x = ageYear, y = heightIn, colour = sex)) +

geom_point()

# Options for the plotting area,修改基本圖形的外觀

hw_plot +

theme(

#設置主網格線

panel.grid.major = element_line(colour = "red"),

#設置副網格線

panel.grid.minor = element_line(colour = "red", linetype = "dashed",

size = 0.2),

#設置背景色

panel.background = element_rect(fill = "lightblue"),

#設置邊界

panel.border = element_rect(colour = "blue", fill = NA, size = 2)

)

二、設置圖例樣式

# Options for the legend，圖例

hw_plot +

theme(

#設置圖例的背景、標題、文本、小方框等

legend.background = element_rect(fill = "grey85", colour = "red", size = 1),

legend.title = element_text(colour = "blue", face = "bold", size = 14),

legend.text = element_text(colour = "red"),

legend.key = element_rect(colour = "blue", size = 0.25)

)

三、設置坐標軸和坐標軸文本樣式

# Options for text items

hw_plot +

ggtitle("Plot title here") +

theme(

axis.title.x = element_text(colour = "red", size = 14),

axis.text.x = element_text(colour = "blue"),

axis.title.y = element_text(colour = "red", size = 14, angle = 90),

axis.text.y = element_text(colour = "blue"),

plot.title = element_text(colour = "red", size = 20, face = "bold")

)

四、設置分面樣式

# Options for facets

hw_plot +

facet_grid(sex ~ .) +

theme(

strip.background = element_rect(fill = "pink"),

strip.text.y = element_text(size = 14, angle = -90, face = "bold")

)

# strip.text.x is the same, but for horizontal facets；如果是沿著x軸水平分面，那么則設置 strip.text.x

五、使用已有主題并微調細節

比如使用theme_bw()，需將其寫在前面，微調的theme()語句寫在后面，如下：

hw_plot +

theme_bw() +

theme(axis.title.x = element_text(colour = "red", size = 12))

不再貼圖。

涉及設置細節網絡查找或參考《R數據可視化手冊》9.4節。

總結

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