我正在RStudio中工作,并试图用下面的函数创建一个3x3网格的三角形图。我已经包含了一个可重现的例子,我遇到的错误是页边距太大,无法绘制多个图,即使我正在减少宽度和高度。我也尝试过将它们保存为png格式,并将它们加载到cowplot中,但图形非常模糊,我不确定如何调整文本大小或线条粗细来使图形更清晰。
#Data
iris$nrm.Sepal <- iris$Sepal.Width / iris$Sepal.Length
iris$nrm.Petal <- iris$Petal.Width / iris$Petal.Length
df_list <- split(iris, (iris$Species))
top.triangle <- function() {
plot(my.y ~ my.x, data= my.data, axes=FALSE, ylab='', xlab="",
main='', xlim=c(0, 1), ylim=c(0, 1), xaxt="n", yaxt="n", asp=1)
mtext("Here could be your title", 3, 5, font=2, cex=1.3, adj=.95)
mtext("Position.2", 2, .75)
mtext("Position.1", 3, 2)
axis(side=2, las=1, pos=0)
axis(side=3, las=1, pos=1)
lines(0:1, 0:1)
}
bottom.triangle <- function() {
points(my.x ~ my.y, data=my.data.2, xpd=TRUE)
mtext("Position.2", 1, 1.5, at=mean(par()$usr[1:2]) + x.dist)
mtext("Position.1", 4, 3, padj=par()$usr[1] + 10)
x.at <- axisTicks(par()$usr[1:2], 0) + x.dist
axis(side=1, las=1, pos=0, at=x.at,
labels=F, xpd=TRUE)
mtext(seq(0, 1, .2), 1, 0, at=x.at)
axis(4, las=1, pos=1 + x.dist)
lines(0:1 + x.dist, 0:1, xpd=TRUE)
}
#loop for generating species specific plots
for(i in 1:(length(df_list))){
current.strain <- as.character(df_list[[i]]$Species[1])
#declare file for saving png
# png(paste0("~.test.triangle_", current.strain, ".png"), width=650, height=500)
plot.new()
my.data = iris
my.x.top = (iris %>% filter(Species == current.strain) )$nrm.Petal
my.y.top = (iris %>% filter(Species == current.strain) )$nrm.Sepal
my.x.bottom = (iris %>% filter(Species == current.strain) )$nrm.Petal
my.y.bottom = (iris %>% filter(Species == current.strain) )$nrm.Sepal
op <- par(mar=c(3, 2, 2, 2) + 0.1, oma=c(2, 0, 0, 2))
top.triangle(my.y.top, my.x.top, my.data)
bottom.triangle(my.y.bottom+x.dist, my.x.bottom, my.data)
par(op)
RP[[i]] <- recordPlot()
dev.off()
}
#for margins too large error
graphics.off()
par("mar")
par(mar=c(.1,.1,.1,.1))
#draw and arrange the plots
ggdraw() +
draw_plot(RP[[1]], x=0, y=0)
#Add remaining plots
#draw_plot(RP[[2]], x=.25, y=.25)
#draw_plot(RP[[3]], x=.25, y=.25)

(这是基于我发布的这个问题的答案,R base plot, combine mirrored right triangles )
发布于 2020-05-16 05:26:31
要在指定的链接处使用绘图解决方案,您需要调整以适应虹膜数据,包括两个函数中的计算列、nrm.Sepal和nrm.Petal。然后,考虑使用by将子集传递给两个函数进行绘图,而不是使用split。但是,绘图将仅生成1 X 3。尚不清楚如何生成3 X 3。你上面张贴的链接实际上是重复的
Data
iris$nrm.Sepal <- iris$Sepal.Width / iris$Sepal.Length
iris$nrm.Petal <- iris$Petal.Width / iris$Petal.Length函数
top.triangle <- function(my.data) {
plot(nrm.Sepal ~ nrm.Petal, data= my.data, axes=FALSE, ylab="", xlab="",
main='', xlim=c(0, 1), ylim=c(0, 1), xaxt="n", yaxt="n", asp=1)
mtext(my.data$Species[[1]], 3, 5, font=2, cex=1.3, adj=.95)
mtext("Position.2", 2, .75)
mtext("Position.1", 3, 2)
axis(side=2, las=1, pos=0)
axis(side=3, las=1, pos=1)
lines(0:1, 0:1)
}
bottom.triangle <- function(my.data) {
x.dist <- .5
my.data.2 <- transform(my.data, nrm.Sepal=nrm.Sepal + x.dist)
points(nrm.Petal ~ nrm.Sepal, data=my.data.2, col="red", xpd=TRUE)
mtext("Position.2", 1, 1.5, at=mean(par()$usr[1:2]) + x.dist)
mtext("Position.1", 4, 3, padj=par()$usr[1] + 3)
x.at <- axisTicks(par()$usr[1:2], 0) + x.dist
axis(side=1, las=1, pos=0, at=x.at,
labels=FALSE, xpd=TRUE)
mtext(seq(0, 1, 0.2), 1, 0, at=x.at, cex=0.7)
axis(4, las=1, pos=1 + x.dist)
lines(0:1 + x.dist, 0:1, xpd=TRUE)
}Plot
par(mar=c(1, 4, 8, 6), oma=c(2, 0, 0, 2), mfrow=c(2,3))
by(iris, iris$Species, function(sub){
top.triangle(sub)
bottom.triangle(sub)
})

https://stackoverflow.com/questions/61825604
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