math math - 1 year ago 88
R Question

faceting by unique pairs

I would like to create some plots with ggplot using faceting. I'm relatively new to ggplot so I'm struggeling setting up the plot. For testing I set up some test data. The actual data is huge and I want first to play around with these toy case. Here is the toy data

m1 <- matrix(rep(c("Skin","Human"),100),ncol = 2,byrow = T)
m2 <- matrix(rep(c("Head","Animal"),200),ncol = 2, byrow=T)
m3 <- matrix(rep(c("Skin","Animal"),250), ncol = 2, byrow=T)
y <- rnorm(550,0,1)
x1 <- rnorm(100,0,1)
x2 <- rnorm(200,0,1)
x3 <- rnorm(250,0,1)

m1 <-,m1))
m2 <-,m2))
m3 <-,m3))
colnames(m1) <- c("x1","type","class")
colnames(m2) <- c("x1","type","class")
colnames(m3) <- c("x1","type","class")
data <-,rbind(m1,m2,m3)))
data <- cbind(data,rnorm(550,0,1))
colnames(data) <- c("y","x1","type","class","x2")
data <- data[,c("y","x1","x2","type","class")]


I would like to have a plot for all unique pairs of
where in each plot I see two scatterplots of
. I thought facetting is the right approach, however I'm struggeling to achieve the desired result.

Answer Source

Based on the plots that your sample code generates, it seems like you want to plot two sets of points (x1,y) and (x2,y) on the same plot, which ggplot is able to handle well. However, ggplot works well with long tables rather than wide ones.

I've provided one way to achieve your desired outcome. The following steps can be performed after your chunk of code to achieve the desired outcome.

  1. Melt your table wide-to-long make use of ggplot's in-built functionality. Note that the color argument automatically plots the x1 and x2 in different colors.

    library(reshape2) # Used to melt the table 
    library(ggplot2) # Used to plot
    data <- melt(data, id.vars = c('type','class','y'), measure.vars = c('x1','x2'))
      # type class          y variable              value
    # 1 Skin Human  1.3170057       x1  -1.09101346133313
    # 2 Skin Human  1.2805021       x1 -0.883308758331181
    # 3 Skin Human -0.7620298       x1 0.0800447346341697
    # 4 Skin Human  0.2766297       x1  0.589741587886533
    # 5 Skin Human -1.8504755       x1 -0.178520217862402
    # 6 Skin Human  0.6474738       x1    0.1039386636512
    p1 <- ggplot(data, aes(x = as.numeric(value), y = y, color = variable))

    un-faceted plot

  2. Using facet_wrap to facet by unique combinations of type and class

    faceted <- p1 + facet_wrap(~type + class)

output plot

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