之前我们学习了ggplot绘制单变量，两个连续变量的图形，两个离散型变量。对于一个离散型变量，一个连续型变量，有很多作图方式，包括箱图，点图等等 • geom_boxplot() for box plot• geom_violin() for violin plot• geom_dotplot() for dot plot• geom_jitter() for stripchart• geom_line() ...
# Basic line plotggplot(data=economics, aes(x = date, y = pop))+ geom_line()# Plot a subset of the datass <- subset(economics, date > as.Date("2006-1-1")) ggplot(data = ss, aes(x = date, y = pop)) + geom_line() Change line size : ggplot(data = economics, aes(x =...
ggplot(economics, aes(x=date)) + geom_line(aes(y = psavert), color = "darkred") + geom_line(aes(y = uempmed), color="steelblue", linetype="twodash") + theme_minimal()require(reshape2)df <- melt(economics[, c("date", "psavert", "uempmed")], id="date")ggplot(df,...
library(ggplot2) # Basic line plot with points ggplot(data=df, aes(x=dose, y=len, group=1)) + geom_line()+ geom_point() # Change the line type ggplot(data=df, aes(x=dose, y=len, group=1)) + geom_line(linetype = "dashed")+ geom_point() # Change the color ggplot(data=...
作图代码 代码语言:javascript 代码运行次数:0 运行 AI代码解释 ibrary(ggplot2)ggplot(df,aes(x=year,y=auth_num,col=journal,fill=journal))+stat_summary(fun.data="mean_cl_boot",geom="ribbon",#width=.2,alpha=I(.5))+stat_summary(fun="mean",geom="line")+labs(x="Year",y="Mean number ...
Line plot with a numeric x-axis If the variable on x-axis is numeric, it can be useful to treat it as a continuous or a factor variable depending on what you want to do : # Create some data df2 <- data.frame(supp=rep(c("VC", "OJ"), each=3), dose=rep(c("0.5", "...
而这里提到的plotly包就是该机构专门针对R语言环境发布的可视化包(具有不仅R语言,给MATLAB和Python都留有接口),不但可以协助ggplot2包将静态图表动态化,而且拥有自己独特的作图函数语法(语法非常精炼,据说是参考ggplot的语法写的,基本上一看就懂)。 今天只涉及ggplot结合plotly而动态化图表的功能,暂不涉及plotly的独有作...
(axis.line.x = element_line(colour = 'grey50'), axis.ticks.x = element_line(colour = 'grey50'), axis.text = element_text(colour = 'grey50'), text = element_text(colour = 'grey50'), plot.title = element_text(colour = 'black'), axis.title.x = element_text(hjust = 0), ...
R语言ggplot2折线图(line plot)添加置信区间(CI)展示学术论文作者数量的变化趋势,非常有意思的数据可视化案例,原文提出的问题是学术论文中的作者数量有逐年增加的趋势;于是利用R语言里的rplos包抓取了Plos系列...
#绘制的类别变量是一个因子或有序型因子,可使用plot函数 plot(Arthritis$Improved,main='sample',horiz = F, xlab='improvement',ylab='frequency') --- 2 堆砌条形图和分组条形图 #简单条形图: count<-table(Arthritis$Improved,Arthritis$Treatment) ...