Display the result of a linear model and its confidence interval on top of a scatterplot. A ggplot2 implementation with reproducible code. Scatter section About scatter Linear trend Adding a linear trend to a scatterplot helps the reader in seeing patterns. ggplot2 provides the geom_smooth() ...
p14 <- ggbarplot(df3, x = "dose", y = "len", add = "mean_se", error.plot = "upper_errorbar") p14 1 2 3 4 # Change error.plot to "pointrange" p15 <- ggbarplot(df3, x = "dose", y = "len", add = "mean_s...
AI代码解释 dat<-with(density(df$x),data.frame(x,y))dat dat1<-dat[dat$x<(-2),]dat2<-dat[dat$x>2,]ggplot()+geom_density(data=df,aes(x=x),fill="red")+geom_area(data=dat1,aes(x=x,y=y),fill="blue")+geom_area(data=dat2,aes(x=x,y=y),fill="blue")+theme_bw() ima...
1、ggplot2绘制基础条形图和线形图(basicbarorlinegraphs)1.1、默认条形图1.2、不同柱子上不同色、添加图例1.3、柱子添加黑色外框1.4、给条形图添加标题、设置柱子填充色、关闭图例1.5、数据集计数条形图1.6、基础线性图1.7、线性图添加数据点1.8、设置线形图线型及点的形状1.9、设置线性图的标题1.10、多组数据堆积条...
R语言中ggplot函数系统中涉及到线条的地方有很多，最常见的场景就是我们做geom_line()（折线图）、geom...
- scatter plots (geom_point()) and jittered scatter plot (geom_jitter()) - lines (geom_line()) - confidence intervals (geom_interval()) - bars plots (geom_bar()) - raster plots (geom_raster()) - point counts (point_count()) ...
ggtitle("Scatter Plot of wt and mpg") #添加曲线拟合 ggplot(mtcars,aes(x=wt,y=mpg)) + geom_point() + geom_smooth(method=lm,se=FALSE) + ggtitle("Line of Best Fit with no Confidence Interval") #添加置信区间 ggplot(mtcars,aes(x=wt,y=mpg)) + geom_point() + geom_smooth(method=lm...
ggarrange(ggsurv$plot, ggsurv$table, heights = c(2, 0.7), ncol = 1, nrow = 2, align ="v") 改变排列图的行列 设置面板为两行两列,其中sp占据第一行的两列,bxp以及dp置于第二行的两列 ggarrange(sp,#First row with scatter plot(sp)ggarrange(bxp, dp, ncol = 2, labels = c("B","C...
( # plot.title = element_markdown(lineheight = 1.1), # legend.text = element_markdown(size = 11) # ) # # print(p) library(ggplot2) library(ggtext) p=ggplot(iris, aes(Sepal.Length, Sepal.Width, color = Species)) + geom_point(size = 3) + scale_color_manual( name = NULL, ...
小提琴图(Violin Plot)用于显示数据分布及其概率密度,因其形状酷似小提琴而得名。 图1 小提琴图示例 这种图表结合了箱线图和密度图的特征,主要用来显示数据的分布形状。中间的黑色粗条表示四分位数范围,从其延伸的幼细黑线代表95% 置信区间,而白点则为中位数。如果需要,中间的箱线图还可以替换为误差条图。