Multi-panel diffuser in Cars package

Question

I am trying to make a 2 panel shape in RStudio. Simple enough:

par(mfrow=c(1,2)) #1*2 plotting window

However, when I make a graph using a function scatterplot()from a car package, it seems to override this split of the build window.

Playable example: The format I'm looking for can be created with:

par(mfrow=c(1,2))
plot(iris$Sepal.Length,iris$Sepal.Width)
plot(iris$Petal.Width,iris$Sepal.Width)

But I would like to use scatterplot()for several reasons. But when I try again to use the formatting trick, this will not work. Try this block:

library(car)
par(mfrow=c(1,2))
scatterplot(Sepal.Length~Sepal.Width|Species,data=iris,grid="FALSE", boxplots="", reg.line="FALSE",pch=c(0,1,2))
scatterplot(Petal.Width~Sepal.Width|Species,data=iris,grid="FALSE", boxplots="", reg.line="FALSE",pch=c(0,1,2))

Does anyone know of a workaround for this?

I also tried alternative structuring with:

m<-rbind(c(1,2))
layout(m)

Bad luck.

, , , , , splitplot() par (mfrow)

Answer 1

rmarkdown, chunk fig.show='hold'. - ggplot2 cars scatterplot. .

cars::scatterplot rmarkdown

PDF. out.width='3in' fig.height fig.width. fig.height fig.width, .

---
title: "Untitled"
author: "eipi10"
date: "November 23, 2016"
output: pdf_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```

```{r fig.show='hold', out.width='3in', fig.height=5, fig.width=5}
library(car)

scatterplot(Sepal.Length~Sepal.Width|Species,data=iris,grid="FALSE",
            boxplots="", reg.line="FALSE", pch=c(0,1,2))
scatterplot(Petal.Width~Sepal.Width|Species,data=iris,grid="FALSE", 
            boxplots="", reg.line="FALSE", pch=c(0,1,2))
```

ggplot2

ggplot2, :

library(ggplot2)
library(gridExtra)
theme_set(theme_bw())

grid.arrange(
  ggplot(iris, aes(Sepal.Width, Sepal.Length, colour=Species)) +
    geom_point() +
    geom_smooth(alpha=0.2) +
    theme(legend.position="top"),
  ggplot(iris, aes(Sepal.Width, Petal.Width, colour=Species)) +
    geom_point() +
    geom_smooth(alpha=0.2) +
    theme(legend.position="top"),
  ncol=2)

ggplot2, cars::scatterplot output

. , se=FALSE geom_smooth. , aes(shape=Species) geom_point. , , + scale_shape_manual(values=0:2) .. .

, - .

# Components we'll reuse for both plots
my_theme = list(geom_point(aes(shape=Species)),
                geom_smooth(se=FALSE, show.legend=FALSE, lwd=0.8),
                scale_shape_manual(values=0:2),
                scale_colour_manual(values=c("black", "red","green")),
                theme_bw(),
                theme(panel.grid.major=element_blank(),
                      panel.grid.minor=element_blank(),
                      legend.position="top"))

p1 = ggplot(iris, aes(Sepal.Width, Sepal.Length, colour=Species)) +
  my_theme +
  labs(x="Sepal Width", y="Sepal Length") +
  scale_y_continuous(limits=c(3,8)) +
  scale_x_continuous(limits=c(1,5)) 

p2 = ggplot(iris, aes(Sepal.Width, Petal.Width, colour=Species)) +
  my_theme +
  labs(x="Sepal Width", y="Petal Width")

# Function to extract legend
# https://github.com/hadley/ggplot2/wiki/Share-a-legend-between-two-ggplot2-graphs
g_legend<-function(a.gplot){
  tmp <- ggplot_gtable(ggplot_build(a.gplot))
  leg <- which(sapply(tmp$grobs, function(x) x$name) == "guide-box")
  legend <- tmp$grobs[[leg]]
  return(legend)}

leg = g_legend(p1)

grid.arrange(leg,
  arrangeGrob(grobs=lapply(list(p1,p2), function(p) p + guides(colour=FALSE, shape=FALSE)), ncol=2), 
  ncol=1, heights=c(1,10))