2. 调整add系数 ggplot(mpg, aes(displ, hwy)) + geom_point() + geom_vline(xintercept = c(1,7),linetype="dashed") + scale_x_continuous(breaks=seq(-20,20), limits = c(1, 7), expand = expansion(mult = c(0,0), add=c(2,4))) add=c(2,4) 往左扩张了2个单位长度,而往右扩...
Bar and line graphs (ggplot2) Plotting means and error bars (ggplot2) Plotting distributions (ggplot2) - Histograms, density curves, boxplots Scatterplots (ggplot2) Titles (ggplot2) Axes (ggplot2) - Control axis text, labels, and grid lines. Legends (ggplot2) Lines (ggplot2) - Add lin...
ggplot(df, aes(x=dose, y=len, group=supp)) + geom_line(aes(linetype=supp))+ geom_point() 1. 2. 3. 修改线型、点的形状以及颜色 ggplot(df, aes(x=dose, y=len, group=supp)) + geom_line(aes(linetype=supp, color = supp))+ geom_point(aes(shape=supp, color = supp)) 1. 2....
add = "jitter",#添加散点 bxp.errorbar.width = 0.6, width = 0.4, size=0.01, font.label = list(size=30), palette = col)+ theme(panel.background =element_blank(), axis.line=element_line(colour="black"), axis.title.x = element_blank(), axis.title.y = element_blank(), axis.text...
linetype=2) + # 添加base mean的水平线 stat_compare_means(method = "anova", label.y = 1600)+ # Add global annova p-value stat_compare_means(label = "p.signif", method = "t.test", ref.group = ".all.") # Pairwise comparison against all ...
(enable=TRUE)# 添加字体font.add('SimSun','simsun.ttc')# Modify theme components# 修改主题gg+theme(# 设置标题plot.title=element_text(size=20,# 字体大小face="bold",# 字体加粗family="SimSun",# 字体类型color="tomato",# 字体颜色hjust=0.5,# 标题离左边距距离lineheight=1.2),# 线条高度# 设置...
plot <- read_tsv("data.xls") %>% ggplot(aes(x = date, y=moving_pck))+ geom_ribbon(aes(ymin=moving_pck -(moving_rmd/2),ymax=moving_pck +(moving_rmd/2)), color='steelblue4', alpha=0.5, fill='steelblue4', linetype='blank')+ geom_ribbon(aes(ymin=moving_pck -(moving_rnw/2...
qplot(weight, data = wdata, geom = "density", color=sex, linetype=sex) ggplot() 上文中的qplot()绘制散点图: qplot(x=mpg, y=wt, data=df, geom = "point") 在ggplot()中完全可以如下实现: ggplot(data=df, aes(x=mpg, y=wt))+ ...
Next, we can add a diagonal line to this plot using theabline functionand the coef argument: plot(data)# Draw data with lineabline(coef=c(0,1)) By executing the previous R programming syntax, we have plotted Figure 2, i.e. a Base R scatterplot with a thin black diagonal line. ...
Contributing suggestions; render-tex now takes command line args Jan 15, 2015 contributors.csv Flesh out preface Nov 4, 2020 coord.qmd improve figure sizes (#368) May 5, 2023 cover.jpg Give the cover page some love Nov 4, 2020 errata.txt ...