在R中使用ggplot为timeplot绘制多条线,可以通过以下步骤实现: 1. 首先,确保已经安装了ggplot2包。如果没有安装,可以使用以下命令进行安装: ```R install.pack...
(data, aes(x = x)) # 添加线图层 p <- p + geom_line(aes(y = y1), color = "blue") p <- p + geom_line(aes(y = y2), color = "red") # 设置图形属性 p <- p + labs(title = "Multiple Lines Plot") p <- p + xlab("X-axis") + ylab("Y-axis") # 显示图形 print...
# Scatter Plot library(ggplot2) ggplt <- ggplot(Orange,aes(x=circumference,y=age))+ geom_point()+ theme_classic() ggplt # Plotting a single Regression Line ggplt+geom_smooth(method=lm,se=FALSE,fullrange=TRUE) R Copy输出这是一个单一的平滑线,或俗称为回归线。在这里,各点是结合在一起...
R print(p) # 或者保存到文件 # ggsave("multiple_lines_plot.png", p) 完整代码如下: R library(ggplot2) # 示例数据框 data <- data.frame( x = rep(1:10, 2), # x轴变量 y = c(rnorm(10), rnorm(10, mean = 2)), # y轴变量 group = rep(c("A", "B"), each = 10) #...
labs(title="Scatterplot", x="Carat", y="Price")# add axis lables and plot title.print(gg) 将添加该图的主标题,并且将X和Y轴标签大写。 注意:如果要在函数内部显示ggplot,则需要显式保存它,然后使用进行打印print(gg),就像我们上面所做的那样。
# single plot VlnPlot(clustered_colon, features = c("EZH2")) + stat_summary(fun.y = median.stat, geom='point', size = 5, colour ="black", shape = 21) # or for multiple plots VlnPlot(clustered_colon, features = c("EZH2")) & ...
ggsave("plot2.pdf", width=4, height=4) ggplot(dat, aes(x=rating, fill=cond)) +geom_density(alpha=.3) dev.off() 12、字体设置 12.1、字体用法 dat <- data.frame( y = 1:3, text = c("This is text", "Text with\nmultiple lines", "Some more text") ...
Line plot of the variable ‘psavert’ by date: ggplot(data = economics, aes(x = date, y = psavert))+ geom_line() Plot with multiple lines Well plot both ‘psavert’ and ‘uempmed’ on the same line chart. Solution 1: Make two calls togeom_line(): ...
We already saw how the form of your data affects how you can plot it. Let's explore that further with multiple time series. Here, it's important that all lines are on the same scale, and if possible, on the same plot. fish.speciescontains the global capture rates of sevensalmonspecies...
5. 分面:在一个图形中绘制多个图(Faceting: Draw multiple plots within one figure) 5.1 Facet Wrap 5.2 Facet Grid 6. 修改图背景,长轴和短轴(Modifying Plot Background, Major and Minor Axis) ...