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目录：
目录
目录：
初始图样：
如何修改坐标轴的显示范围：
如何修改坐标轴的标签（内容、大小、字体、颜色、加粗、位置、角度）：
如何修改坐标轴的刻度标签（内容）：
如何修改坐标轴的刻度标签（大小、字体、颜色、加粗、位置、角度）：
如何修改坐标轴的刻度间隔：
如何去掉网格线：
如何去掉坐标轴上的刻度标签：
如何去掉刻度线：
如何去掉外层边框：
如何再加上X轴、Y轴（无刻度、无标签）：
（更多内容请见：R、ggplot2、shiny 汇总）
初始图样：
library(ggplot2)
dt = data.frame(A = 1:10, B = c(2,15,6,18,9,7,13,15,10,3), C = c('A','C','A','B','C','D','A','C','D','B'))
p = ggplot(dt, aes(x = A, y = B, color = C, group = factor(1))) +
geom_point(size = 3.8) +
geom_line(size = 0.8) +
geom_text(aes(label = B, vjust = 1.1, hjust = -0.5, angle = 45), show_guide = FALSE) ## 添加点的数值
p
如何修改坐标轴的显示范围：
library(ggplot2)
dt = data.frame(A = 1:10, B = c(2,15,6,18,9,7,13,15,10,3), C = c('A','C','A','B','C','D','A','C','D','B'))
p = ggplot(dt, aes(x = A, y = B, color = C, group = factor(1))) +
geom_point(size = 3.8) +
geom_line(size = 0.8) +
geom_text(aes(label = B, vjust = 1.1, hjust = -0.5, angle = 45), show_guide = FALSE)
p + scale_x_continuous(limits = c(-5,15)) ## 方法一
p + xlim(-5,15) ## 方法二
p + xlim(min(dt$A, 0)*1.2, max(dt$A)*1.2) ## 一般使用倍数来限定大小，注意定义最小值的方式
如何修改坐标轴的标签（内容、大小、字体、颜色、加粗、位置、角度）：
library(ggplot2)
windowsFonts(myFont = windowsFont("华文行楷")) ##如果要更改字体，需要先“绑定”字体
dt = data.frame(A = 1:10, B = c(2,15,6,18,9,7,13,15,10,3), C = c('A','C','A','B','C','D','A','C','D','B'))
p = ggplot(dt, aes(x = A, y = B, color = C, group = factor(1))) +
geom_point(size = 3.8) +
geom_line(size = 0.8) +
geom_text(aes(label = B, vjust = 1.1, hjust = -0.5, angle = 45), show_guide = FALSE)
p + xlab("这是 X 轴") + ylab("这是 Y 轴") + ggtitle("这是标题") ## 修改文字方法一
p + labs(x = "这是 X 轴", y = "这是 Y 轴", title = "这是标题") ## 修改文字方法二
#### 修改 X 轴标签的大小、字体、颜色、加粗、位置、角度 ####
p + xlab("这是 X 轴") + theme(axis.title.x = element_text(size = 15, family = "myFont", color = "green", face = "bold", vjust = 0.5, hjust = 0.5, angle = 45))
## face取值：plain普通，bold加粗，italic斜体，bold.italic斜体加粗
如何修改坐标轴的刻度标签（内容）：
library(ggplot2)
dt = data.frame(A = 1:10, B = c(2,15,6,18,9,7,13,15,10,3), C = c('A','C','A','B','C','D','A','C','D','B'))
p = ggplot(dt, aes(x = A, y = B, color = C, group = factor(1))) +
geom_point(size = 3.8) +
geom_line(size = 0.8) +
geom_text(aes(label = B, vjust = 1.1, hjust = -0.5, angle = 45), show_guide = FALSE)
p + scale_x_continuous(breaks=dt$A, labels = dt$A*1000) ## 只是把刻度上显示的文字改了而已
如何修改坐标轴的刻度标签（大小、字体、颜色、加粗、位置、角度）：
library(ggplot2)
windowsFonts(myFont = windowsFont("华文行楷")) ##如果要更改字体，需要先“绑定”字体
dt = data.frame(A = 1:10, B = c(2,15,6,18,9,7,13,15,10,3), C = c('A','C','A','B','C','D','A','C','D','B'))
p = ggplot(dt, aes(x = A, y = B, color = C, group = factor(1))) +
geom_point(size = 3.8) +
geom_line(size = 0.8) +
geom_text(aes(label = B, vjust = 1.1, hjust = -0.5, angle = 45), show_guide = FALSE)
####修改 X 轴刻度文字的大小、字体、颜色、加粗、位置、角度：
p + theme(axis.text.x = element_text(size = 15, family = "myFont", color = "green", face = "bold", vjust = 0.5, hjust = 0.5, angle = 45))
## face取值：plain普通，bold加粗，italic斜体，bold.italic斜体加粗
如何修改坐标轴的刻度间隔：
library(ggplot2)
dt = data.frame(A = 1:10, B = c(2,15,6,18,9,7,13,15,10,3), C = c('A','C','A','B','C','D','A','C','D','B'))
p = ggplot(dt, aes(x = A, y = B, color = C, group = factor(1))) +
geom_point(size = 3.8) +
geom_line(size = 0.8) +
geom_text(aes(label = B, vjust = 1.1, hjust = -0.5, angle = 45), show_guide = FALSE)
p + scale_x_continuous(breaks=seq(0, 10, 5)) ## X 轴每隔 5 个单位显示一个刻度
如何去掉网格线：
删去之前：
删去之后：
library(ggplot2)
dt = data.frame(A = 1:10, B = c(2,15,6,18,9,7,13,15,10,3), C = c('A','C','A','B','C','D','A','C','D','B'))
p = ggplot(dt, aes(x = A, y = B, color = C, group = factor(1))) +
geom_point(size = 3.8) +
geom_line(size = 0.8) +
labs(x = "", y = "", title = "") +
theme_bw() +
geom_text(aes(label = B, vjust = 1.1, hjust = -0.5, angle = 45), show_guide = FALSE) +
theme(panel.grid =element_blank()) ## 删去网格线
p
如何去掉坐标轴上的刻度标签：
library(ggplot2)
dt = data.frame(A = 1:10, B = c(2,15,6,18,9,7,13,15,10,3), C = c('A','C','A','B','C','D','A','C','D','B'))
p = ggplot(dt, aes(x = A, y = B, color = C, group = factor(1))) +
geom_point(size = 3.8) +
geom_line(size = 0.8) +
labs(x = "", y = "", title = "") +
theme_bw() +
geom_text(aes(label = B, vjust = 1.1, hjust = -0.5, angle = 45), show_guide = FALSE) +
theme(panel.grid =element_blank()) + ## 删去网格线
theme(axis.text = element_blank()) ## 删去所有刻度标签
# theme(axis.text.y = element_blank()) ## 设置 axis.text.y 则只删去 Y 轴的刻度标签，X 轴同理。
p
如何去掉刻度线：
library(ggplot2)
dt = data.frame(A = 1:10, B = c(2,15,6,18,9,7,13,15,10,3), C = c('A','C','A','B','C','D','A','C','D','B'))
p = ggplot(dt, aes(x = A, y = B, color = C, group = factor(1))) +
geom_point(size = 3.8) +
geom_line(size = 0.8) +
labs(x = "", y = "", title = "") +
theme_bw() +
geom_text(aes(label = B, vjust = 1.1, hjust = -0.5, angle = 45), show_guide = FALSE) +
theme(panel.grid =element_blank()) + ## 删去网格线
theme(axis.text = element_blank()) + ## 删去所有刻度标签
theme(axis.ticks = element_blank()) ## 删去所有刻度线
# theme(axis.ticks.y = element_blank()) ## 设置 axis.ticks.y 则只删去 Y 轴的刻度线，X 轴同理。
p
如何去掉外层边框：
library(ggplot2)
dt = data.frame(A = 1:10, B = c(2,15,6,18,9,7,13,15,10,3), C = c('A','C','A','B','C','D','A','C','D','B'))
p = ggplot(dt, aes(x = A, y = B, color = C, group = factor(1))) +
geom_point(size = 3.8) +
geom_line(size = 0.8) +
labs(x = "", y = "", title = "") +
theme_bw() +
geom_text(aes(label = B, vjust = 1.1, hjust = -0.5, angle = 45), show_guide = FALSE) +
theme(panel.grid =element_blank()) + ## 删去网格线
theme(axis.text = element_blank()) + ## 删去刻度标签
theme(axis.ticks = element_blank()) + ## 删去刻度线
theme(panel.border = element_blank()) ## 删去外层边框
p
如何再加上X轴、Y轴（无刻度、无标签）：
library(ggplot2)
dt = data.frame(A = 1:10, B = c(2,15,6,18,9,7,13,15,10,3), C = c('A','C','A','B','C','D','A','C','D','B'))
p = ggplot(dt, aes(x = A, y = B, color = C, group = factor(1))) +
geom_point(size = 3.8) +
geom_line(size = 0.8) +
labs(x = "", y = "", title = "") +
theme_bw() +
geom_text(aes(label = B, vjust = 1.1, hjust = -0.5, angle = 45), show_guide = FALSE) +
theme(panel.grid =element_blank()) + ## 删去网格线
theme(axis.text = element_blank()) + ## 删去刻度标签
theme(axis.ticks = element_blank()) + ## 删去刻度线
theme(panel.border = element_blank()) + ## 删去外层边框
theme(axis.line = element_line(size=1, colour = "black")) ## 再加上坐标轴（无刻度、无标签）
p
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