ggscatter()散点图 stat_cor()将有P值的相关系数添加到散点图中 stat_stars())Add Stars to a Scatter Plot stat_cor() stat_stars() ggscatterhist()绘制具有边际直方图的散点图 ggscatterhist() ggpaired()Plot Paired Data ggpaired() ggballoonplot() ...
title="Scatterplot", caption = "Source: midwest") plot(gg) 带圈的散点图 展示结果时,在图中圈出特定的点有注意吸引注意力,使用ggalt包中的geom_encircle() 可以方便实现 在geom_encircle()中把数据 data 设为只包括兴趣点的数据框 并且 你可以 expand 曲线使其刚好绕过点的外围. 曲线的颜色 粗细也能...
ggfortify: Allow ggplot2 to handle some popular R packages. These include plotting 1) Matrix; 2) Linear Model and Generalized Linear Model; 3) Time Series; 4) PCA/Clustering; 5) Survival Curve; 6) Probability distribution GGally:GGallyextends ggplot2 for visualizingcorrelation matrix,scatterplot...
ggfortify: Allow ggplot2 to handle some popular R packages. These include plotting 1) Matrix; 2) Linear Model and Generalized Linear Model; 3) Time Series; 4) PCA/Clustering; 5) Survival Curve; 6) Probability distribution GGally:GGallyextends ggplot2 for visualizingcorrelation matrix,scatterplot...
# Create a base plot called `hw_sp` (for heightweight scatter plot) hw_sp <- ggplot(heightweight, aes(x = ageYear, y = heightIn)) + geom_point(colour = "grey40") hw_sp + geom_line(data = predicted, size = 1) 灰色点为原始数据,黑色曲线为二次方程模型拟合的曲线 二、通过函数...
Here’s an example with the ggthemes package’s solarized theme and colorblind palette:library(ggthemes)ggplot(penguins, aes(x = bill_length_mm, y = body_mass_g, color = species)) + geom_point() + ggthemes::theme_solarized() + scale_color_colorblind()Sharon MachlisScatter plot usin...
function(plot,id,clusters=NULL,labels=NULL,split.by=NULL,repel=TRUE,box=FALSE,geom="GeomPoint",position="median",...){xynames<-unlist(x=GetXYAesthetics(plot=plot,geom=geom),use.names=TRUE)if(!id%in%colnames(x=plot$data)){stop("Cannot find variable ",id," in plotting data")}if(!is...
Scatter plot using a colorblind palette and solarized theme from the ggthemes package. ggthemes is by Jeffrey B. Arnold and others and is available on CRAN. Other theme and palette packages to consider: ggsci is a collection of ggplot2 color palettes “inspired by scientific journals, data vis...
This post follows the previous basic scatterplot with ggplot2. It shows the kind of customization you can apply to circles thanks to the geom_point() options: color: the stroke color, the circle outline stroke: the stroke width fill: color of the circle inner part shape: shape of the ...
Marginal plot Marginal plots are not natively supported byggplot2, but their realisation is straightforward thanks to theggExtralibrary as illustrated ingraph #277. Scatterplot with rug Add rug on X and Y axis to describe the numeric variable distribution. Show how geom_rug() works. ...