例子library(ggplot2) ggplt <- ggplot(Orange,aes(x=circumference,y=age,shape=Tree))+ geom_point()+ theme_classic() ggplt # Plotting multiple Regression Lines ggplt+geom_smooth(method=lm,se=FALSE,fullrange=TRUE, aes(color=Tree)) R Copy输出...
(data, aes(x = x, y = y, color = group)) + geom_point() + # 添加散点图层 geom_smooth(method = "lm", se = FALSE) + # 添加线性回归线层 labs(title = "Multiple Linear Regression Lines", x = "X Axis", y = "Y Axis") + # 添加标题和轴标签 theme_minimal() # 应用最小...
#显示英文日期名 Sys.setlocale(category = "LC_TIME", locale = "English") # 准备一个差值函数,用以扩充数据量, # 目的是,例如对于y正、负、正交替出现的情况,即x1的y>0,之后有部分x2,x3...xn-1的y<0,然后又是xn的y>0,函数将x尽量细分,以使x1和xn的y值接近0, # 这样对y>0和y<0填充不同...
dat_hlines <- data.frame(cond=c("control","treatment"), hline=c(9,12)) d # The bars are from dat, but the lines are from dat_hlines bp + geom_errorbar(data=dat_hlines, aes(y=NULL, ymax=hline, ymin=hline), colour="#AA0000") dat <- read.table(header=TRUE, text=' co...
编者按:数据可视化是解析、理解和展示数据不可缺少的一部分。炫或不炫看个人喜好和功底,能否达意是最基本的要求---最合适的图示和配色表达最直观的含义。长文多图预警,这是关于ggplot2使用的极详细教程(190+图),是入门和晋级参考的不二手册。 前面部分是关于qplot的使用,后面是ggplot2图层的使用。原文使用R自带数据...
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(...
Blank graph when plotting multiple lines on scatterplot. Ask Question Asked 4 years, 7 months ago. Modified 4 years, 7 months ago. Viewed 593 times 0 My goal is to produce a graph showing the differences between regression lines using continuous vs categorical variables. I'm using is the ...
It is also possible to append multiple line segments to a ggplot2 plot. For this, it makes sense to define all the parameters of our lines in a data frame object first: data_lines<-data.frame(x=2:4,# Create data for multiple segmentsy=c(4.5,5,2), ...
Least squares regression Geometric solution Example What’s missing Smoothing methods & families References Related ggsprings ggsprings is designed to implement an extension of geom_path which draws paths as springs instead of straight lines. Aside from possible artistic use, the main impetus for ...
ggplot(quadrant_example.df, aes(logFC.x,logFC.y))+geom_point(alpha=0.3)+geom_quadrant_lines()+stat_quadrant_counts()+stat_dens2d_filter(color="red",keep.fraction=0.02)+stat_dens2d_labels(aes(label=gene),keep.fraction=0.02,geom="text_repel",size=2,colour="red")+scale_x_logFC(name...