Margin Error Bar library(plotly) population <- data.frame(Year=seq(1790, 1970, length.out=length(uspop)), Population=uspop, Error=rnorm(length(uspop), 5)) library(ggplot2) p <- ggplot(population, aes(x=Year, y=Population, ymin=Population-Error, ymax=Population+Error))+ geom_line()...
AI代码解释 ###library(ggplot2)# 加载包library(faraway)data(worldcup)head(worldcup)wc_plot<-ggplot(worldcup,aes(x=Time,y=Passes))+geom_point()grid.draw(wc_plot)grid.draw(my_circle) 当前生成的图形可能并不实用,但通过使用视图窗口(viewports)和坐标系统,可以使其更具功能性。 编辑ggplot对象:可以...
The functiongeom_errorbar()can be used to produce a line graph with error bars : # Standard deviation of the mean ggplot(df3, aes(x=dose, y=len, group=supp, color=supp)) + geom_errorbar(aes(ymin=len-sd, ymax=len+sd), width=.1) + geom_line() + geom_point()+ scale_c...
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() ...
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 of authors...
Well, a couple of things. Firstly, the points are being obscured by the lines and error bars. Secondly, the points don’t have a black outline. Handling the first problem is easier. Recall that we’re building the plot up with layers. Soggplot2places each layer on top of previous ones...
1、ggplot2绘制基础条形图和线形图(basic bar or line graphs) 1.1、默认条形图 #准备数据 dat <- data.frame( time = factor(c("Lunch","Dinner"), levels=c("Lunch","Dinner")), total_bill = c(14.89, 17.23) ) dat #> time total_bill ...
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,...
此外:geom_boxplot(outlier.size = 0.5) 和 geom_point(size = 0.5) 这两个函数中散点大小需要保持一致。 Step5:配对小提琴图 ggplot(data, aes(x = Group, y = Expression, color = Group)) + geom_violin(size = 1) + geom_line(aes(group = paired), color = "grey80", size = 0.5) + ...
# Plot ggplot(midwest, aes(x=area, y=poptotal)) + geom_point(aes(col=state, size=popdensity)) + # draw points geom_smooth(method="loess", se=F) + xlim(c(0, 0.1)) + ylim(c(0, 500000)) + # draw smoothing line geom_encircle(aes(x=area, y=poptotal), data=midwest_sel...