Sort the data bydoseandsuppcolumns. Asposition_stack()reverse the group order,suppcolumn should be sorted in descending order. Calculate the cumulative sum oflenfor eachdosecategory. Used as the y coordinates of
ggbarplot(df2,x="name",y="mpg_z",fill = "mpg_grp",color = "white",palette="jco",sort.val = "asc",sort.by.groups = FALSE,x.text.angle=60,ylab="MPG z-score",xlab = FALSE,legend.title="MPG Group", rotate=TRUE) 1 g...
tufte_sort <- function(df, x="year", y="value", group="group", method="tufte", min.space=0.05) { ## First rename the columns for consistency ids <- match(c(x, y, group), names(df)) df <- df[,ids] names(df) <- c("x", "y", "group") ## Expand grid to ensure ever...
AI代码解释 x<-seq(-5,25,by=0.5)y<-0.2*exp(0.079*x)+rnorm(length(x),mean=0.05,sd=0.02)df<-data.frame(x=x,y=y)ggplot(df,aes(x=x,y=y))+geom_point() image.png 然后添加拟合曲线 代码语言:javascript 代码运行次数:0 运行 AI代码解释 x<-seq(-5,25,by=0.5)y<-0.2*exp(0.079*x)...
Source: https://github.com/jkeirstead/r-slopegraph tufte_sort <- function(df, x="year", y="value", group="group", method="tufte", min.space=0.05) { ## First rename the columns for consistency ids <- match(c(x, y, group), names(df)) df <- df[,ids] names(df) <- c("x...
Diverging Bars geom_linerange、geom_segment和geom_bar都可以实现这类图,前两种方法基本一样 ggplot中,几种画线或线段的函数 geom_linerange(), aes是x, ymin, ymax; y线段三个,或x线段三个 geom_segment(), aes是x, xend, y, yend,四个都得有 geom_vline(), geom_hline(), aes是xintercept或y...
The functiongeom_errorbar()can be used to produce a bar graph with error bars : # Standard deviation of the mean as error bar p <- ggplot(df3, aes(x=dose, y=len, fill=supp)) + geom_bar(stat="identity", position=position_dodge()) + geom_errorbar(aes(ymin=len-sd, ymax=le...
When using geom_histogram(), you can control the number of bars using the bins option. Else, you can set the range covered by each bin using binwidth. The value of binwidth is on the same scale as the continuous variable on which histogram is built. Since, geom_histogram gives facility...
2.1 发散条形图(Diverging bars) 2.2 发散棒棒糖图(Diverging Lollipop Chart) 2.3 发散点图(Diverging Dot Plot) 2.4 面积图(Area Chart) 3. 排名(Ranking) 3.1 有序条形图 ...
以前,我们看到了使用ggplot2软件包制作图表的简短教程。它很快涉及制作ggplot的各个方面。现在,这是一个完整而完整的教程。现在讨论如何构造和自定义几乎所有ggplot。它涉及的原则,步骤和微妙之处,使图像的情节有效和更具视觉吸引力。因此,出于实用目的,我希望本教程可以作为书签参考,对您日常的绘图工作很有用。