ggplot2是一个用于数据可视化的R语言包,它基于Grammar of Graphics理论,提供了一种灵活而强大的绘图方式。ggplot2的设计理念是将数据和图形元素分离,通过构建图层(layer)的方式来创建图形。 在ggplot2中,可以使用theme函数来自定义图形的外观,包括图例的标题对齐方式。要将多行图例标题与数学表达式对齐,可以使用theme函...
bp + geom_errorbar(data=dat_hlines, aes(y=NULL, ymax=hline, ymin=hline), colour="#AA0000") dat <- read.table(header=TRUE, text=' cond group result hline control A 10 11 treatment A 11.5 12 control B 12 12.5 treatment B 14 15 ') # Define basic bar plot bp <- ggplot(dat...
scale_size_manual() : to change the size of lines # 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(...
scale_size_manual() : to change the size of lines # 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(...
ggplot(df, aes(x=dose, y=len, group=supp)) + geom_line(aes(linetype=supp))+ geom_point() 修改线型、点的形状以及颜色 ggplot(df, aes(x=dose, y=len, group=supp)) + geom_line(aes(linetype=supp, color = supp))+ geom_point(aes(shape=supp, color = supp)) ...
(x = "year", dodge = 0.8) 数据可视化 df %>% ggplot...legend.position = "none", panel.spacing = unit(0,"lines"))+ coord_cartesian() ❝还是熟悉的配方...,在此只需要注意 「aes(group=1)」 参数,此参数只能用于「局部映射」,图中若要改为添加R值只需将「rr.label」改为「r.label」,...
ggparcoord(diamonds[,1:4], columns = 1:4, alphaLines = 0.2) + scale_color_manual(values = c("red", "blue", "green", "purple")) + theme_light() 3.3 数据分析和解读 「3.3.1 基本统计分析和假设检验」 我们可以对数据集中的变量进行各种基本的统计分析来深入了解数据分布情况。 # 计算数据...
VlnPlot(GC.IM.seuset, features =c("JARID2_imputation","EZH2_imputation","SOX9_imputation"), group.by ="source") & stat_summary(fun.y = median.stat, geom='point', size = 5, colour ="black", shape = 21) & stat_compare_means(comparisons =list(c("Normal","Cancer")), label.y ...
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") ...
Create a plot with multiple lines and set the legend lty. We start by plotting a first single line with a solid line type (lty = 1). Next, we add a second line with a dashed line style (lty = 2). Finally, we add a legend on the plot using the R base functionlegend(), whic...