#draw area plot, amazing things will happen. ggplot(data,aes(Year,Thousands,fill = AgeGroup)) +geom_area() 接下来我们来画一个饼图吧 在R语言的自带base作图系统中,有一个内置的绘制饼图的函数,叫做pie()函数 它的参数非常简单,需要给出第一个参数就是:数值,也就是我们这个数据中
function, ggplot2 theme name. Default value is theme_pubr(). Allowed values include ggplot2 official themes: theme_gray(), theme_bw(), theme_minimal(), theme_classic(), theme_void(), ... ... other arguments to be passed to be passed to ggpar(). Details...
This function is from easyGgplot2 package. An R script is available in the next section to install the package. The aim of this tutorial is to show you step by step, how to plot and customize a bar chart using ggplot2.barplot function. At the end of this document you will be able ...
Re-ordering bars shown using geom_bar. library(plotly) df <- data.frame(x = as.factor(LETTERS[1:5]), y = sample(10:20, size = 5)) # First change factor levels df$x <- factor(df$x, levels = c("C", "B", "A", "D", "E")) # Plot p <- ggplot(df, aes(x, y, fi...
# 测试使用内置数据集ToothGrowth# Test using the dataset ToothGrowthhead(ToothGrowth)table(ToothGrowth$supp)#> #> OJ VC #> 30 30table(ToothGrowth$dose)#> #> 0.5 1 2 #> 20 20 20# gradient/plasma 渐变色# gradientp21 <- ggplot(ToothGrowth, aes(x = factor(dose), y = len)) + geom_bar...
ggplot(data, aes(x, y, fill = x)) + # Using default colors geom_bar(stat = "identity")The output of the previous R programming code is shown in Figure 2 – Each of the bars of our barchart has a different color and the graphic is also showing a legend in these colors....
Box Plots Strip Charts: 1-D scatter Plots Line Plots Pie Charts Histogram and Density Plots Dot Charts Plot Group Means and Confidence Intervals Graphical Parameters See also Lattice Graphs ggplot2 Graphs Infos This analysis has been performed using R statistical software (ver. 3.2.4). Enjoyed...
I explain how to use the ggplot2 package in much more detail:On Statistics Globe, you can also find tutorials on how to plot different kinds of graphics such as xy-plots, density plots, barcharts, boxplots, histograms, and line plots using other ggplot2 themes:...
There are two ways to create a horizontal bar plot: using thecoord_flipfunction to flip the axes or passing the categorical variable to theyargument ofaes. Option 1: usingcoord_flip # install.packages("ggplot2")library(ggplot2)ggplot(df,aes(x=group,y=count))+geom_bar(stat="identity")+...
This is a reproduction of the (simple) bar plot of chapter 6.1.1 in Datendesign mit R with ggplot2. To download the data you can use the following lines: dir.create("data") writeLines("*", "data/.gitignore") download.file("http://www.datendesign-r.de/all