分面可以完成carb和am的各种组合。 # You can facet by multiple variables ggplot(mtcars, aes(mpg, disp)) + geom_point() + facet_wrap(~carb + am) #Alternatively ggplot(mtcars, aes(mpg, disp)) + geom_point() + facet_wrap(c("carb","am")) 有6个独特的’carb’值和2个独特的’am’值...
Facet with one discrete variable. Split by the levels of the group “supp” # Split in vertical directionp + facet_grid(rows = vars(supp))# Split in horizontal directionp + facet_grid(cols = vars(supp)) Facet with multiple variables. Split by the levels of two grouping variables: “dos...
ggwithinstats() Within group/condition comparisons ✅ ✅ ✅ ✅ gghistostats(), ggdotplotstats() Distribution of a numeric variable ✅ ✅ ✅ ✅ ggcorrmat Correlation matrix ✅ ✅ ✅ ✅ ggscatterstats() Correlation between two variables ✅ ✅ ✅ ✅ ggpiestats(), gg...
The following syntax shows a more general approach for the plotting of multiple lines for each group in a ggplot2 plot byreshaping our data frame from wide to long format. We will use the functions of the reshape2 package to transform our data from wide to long format. Hence, we first ...
web-grouped-line-chart-small-multiple.html web-horizontal-barplot-with-labels-the-economist.Rmd web-horizontal-barplot-with-labels-the-economist.html web-lemurs-parallel-plot.Rmd web-lemurs-parallel-plot.html web-line-chart-small-multiple-all-group-greyed-out.Rmd web-line-chart-smal...
此外,“dplyr”包含一个重要的函数group_by(),用于执行与“拆分-应用-组合”概念相关的另一个常见任务。此外,dplyr从magrittr包导入了管道操作符:%>%。当组合几个函数时,管道操作符非常有用。通常,在R中,如果将几个函数组合在一起,会将它们彼此嵌套。嵌套函数从内到外操作。例如,在以下代码中,select()嵌套在...
Line plot with multiple groups In the graphs below, line types and point shapes are controlled automatically by the levels of the variable supp: p <- ggplot(df2, aes(x = dose, y = len, group = supp)) # Change line types and point shapes by groups p + geom_line(aes(linetype = su...
Stripchart with multiple groups Functions: geom_jitter(), stat_summary() Density plots Basic density plots Change density plot line types and colors Change density plot colors by groups Calculate the mean of each group : Change line colors Change fill colors Change the legend position Combine ...
ggplot(aes(x = cyl, y = hp_mean, group = am)) + geom_point() + geom_line(aes(linetype = am)) + geom_errorbar(aes(ymin = hp_mean - hp_ci, ymax = hp_mean + hp_ci)) OK, not looking perfect yet, but let’s quickly discuss how the error bars are working. By declaring...
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