# Line plot with multiple groups # Change line types and colors by groups (sex) ggplot(df2, aes(x=time, y=bill, group=sex)) + geom_line(aes(linetype = sex, color = sex))+ geom_point(aes(color=sex))+ theme(legend
# Change line types, colors and sizes ggplot(df2, aes(x=time, y=bill, group=sex)) + geom_line(aes(linetype=sex, color=sex, size=sex))+ geom_point()+ scale_linetype_manual(values=c("twodash", "dotted"))+ scale_color_manual(values=c('#999999','#E69F00'))+ scale_size_manua...
p <- ggplot(df2, aes(x = dose, y = len, group = supp))# Change line types and point shapes by groupsp + geom_line(aes(linetype = supp)) + geom_point(aes(shape = supp))# Change line types, point shapes and colors# Change color manually: custom colorp + geom_line(aes(linety...
Create a single line plot. Change the linetype option to “dashed”. library(ggplot2) ggplot(data = df, aes(x = dose, y = len.mean, group =1)) + geom_line(linetype ="dashed")+ geom_point() Create a line plot for multiple groups. Change line types by groups. ...
在ggplot2中,如何让geom_line为同一组的不同数据系列显示不同的图例项? 在ggplot2中,如果你想要为同一组的数据创建两个不同的图例,可以通过对数据进行适当的转换和使用guides()函数来实现。以下是一个示例,展示了如何为同一组数据创建两个不同的图例。
This way, with just one call to geom_line, multiple colored lines are drawn, one each for each unique value in variable column. The scale_x_date() changes the X axis breaks and labels, and scale_color_manual changes the color of the lines. data(economics_long, package = "ggplot2") ...
facet_wrap Functions: facet_grid...with ggplot2: box plot, dot plot, strip chart, violin plot, histogram, density plot, scatter plot, bar...plot, line plot, etc, … ggplot2 - Easy way to mix multiple graphs on the same page ggplot2: Correlation...axis text, labels, and grid lines...
time: x-axis sex: line color total_bill: y-axis.To draw multiple lines, the points must be grouped by a variable; otherwise all points will be connected by a single line. In this case, we want them to be grouped by sex.# Basic line graph with points ggplot(data=dat1, aes(x=...
A plot may have multiple layers, as in the example where we overlaid a smoothed line on a scatterplot. All together, the layered grammar defines a plot as the combination of: • A default dataset and set of mappings from variables to aesthetics. • One or more layers, each composed ...
In this example, we created a common legend for two scatterplots. However, please note that we could also use other types of ggplot2 plots (e.g. barplots, heatmaps, line graphs, boxplots, and so on…) and we could use any number of plots we want....