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R语言绘制矩阵散点图

时间:2020-03-06 03:50:53

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R语言绘制矩阵散点图

library(ggplot2)library(GGally)library(RColorBrewer) #library(devtools)#install_github("ggobi/ggally")#-------------------------------图7-3-1 矩阵散点图(a)单数据系列 ----------------------------------------------lowerFn <- function(data, mapping, method = "loess", ...) {p <- ggplot(data = data, mapping = mapping) +geom_point(size=1)+#colour = "blue") +geom_smooth(method = method, color = "red", ...)+theme(panel.background = element_rect(fill = "white", colour = "grey20"))p}diagFn <- function(data, mapping, method = "loess", ...) {p <- ggplot(data = data, mapping = mapping) +geom_histogram(colour = "black",size=0.1)+#) #geom_smooth(method = method, color = "red", ...)+theme(panel.background = element_rect(fill = "white", colour = "grey20"))p}ggpairs(df, lower = list(continuous = wrap(lowerFn, method = "lm")),diag = list(continuous = wrap(diagFn)),#"barDiag", colour = "black")),upper = list(continuous = wrap("cor", size = 4,color="black", alignPercent = 0.9)))+theme_bw()+ theme(panel.grid.major = element_blank(),panel.grid.minor = element_blank(),panel.border = element_rect( colour = "black", fill = NA,size=0.25),axis.title=element_text(size=8,face="plain",color="grey30"),axis.text = element_text(size=8,face="plain",color="grey30"),strip.background = element_blank())

#---------------------------------图7-3-1 矩阵散点图(b)多数据系列 -------------------------library(wesanderson)ggpairs_theme <- theme_bw()+theme(panel.grid.major = element_blank(),panel.grid.minor = element_blank(),panel.border = element_rect( colour = "black", fill = NA,size=0.25),axis.title=element_text(size=8,face="plain",color="grey30"),axis.text = element_text(size=8,face="plain",color="grey30"),strip.background = element_blank())ggplot <- function(...) ggplot2::ggplot(...) + scale_fill_manual(values=wes_palette(n=3, name="Darjeeling1"))+scale_color_manual(values=wes_palette(n=3, name="Darjeeling1"))#ggplot<-function(...) ggplot2::ggplot(...) + scale_colour_brewer(palette="Set1")unlockBinding("ggplot",parent.env(asNamespace("GGally")))assign("ggplot",ggplot,parent.env(asNamespace("GGally")))ggpairs(iris, columns =1:4, mapping = ggplot2::aes(fill = Species,colour=Species),lower=list(continuous = wrap("points",size=1,shape=21)),#,colour="black"diag = list(continuous = wrap("densityDiag",alpha=0.5,colour="black",size=0.25)),upper= list(continuous = wrap("cor",size = 3, alignPercent = 0.9)))+ggpairs_theme

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