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facet_grid in ggplot2

How to make subplots with facet_wrap and facet_grid in ggplot2 and R.


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Plotly is a free and open-source graphing library for R. We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials.

Basic

library(reshape2)
library(plotly)

p <- ggplot(tips, aes(x=total_bill, y=tip/total_bill)) + geom_point(shape=1)

# Divide by levels of "sex", in the vertical direction
p <- p + facet_grid(sex ~ .)

fig <- ggplotly(p)

fig

Horizontal Grid

library(reshape2)
library(plotly)

p <- ggplot(tips, aes(x=total_bill, y=tip/total_bill)) + geom_point(shape=1)

# Divide by levels of "sex", in the horizontal direction
p <- p + facet_grid(. ~ sex)

fig <- ggplotly(p)

fig

Free Scale

library(reshape2)
library(plotly)

p <- ggplot(tips, aes(x=total_bill)) + geom_histogram(binwidth=2,colour="white")

# Histogram of total_bill, divided by sex and smoker
p <- p + facet_grid(sex ~ smoker)

fig <- ggplotly(p)

fig

Free Y Axis

library(reshape2)
library(plotly)

p <- ggplot(tips, aes(x=total_bill)) + geom_histogram(binwidth=2,colour="white")

# Same as above, with scales="free_y"
p <- p + facet_grid(sex ~ smoker, scales="free_y")

fig <- ggplotly(p)

fig

Varied Range

library(reshape2)
library(plotly)

p <- ggplot(tips, aes(x=total_bill)) + geom_histogram(binwidth=2,colour="white")

# With panels that have the same scaling, but different range (and therefore different physical sizes)
p <- p + facet_grid(sex ~ smoker, scales="free", space="free")

fig <- ggplotly(p)

fig

Time Series Data

library(plotly)
require(scales)
require(gridExtra)

mymelt <- structure(list(mydate = structure(c(15340, 15340, 15340, 15340, 15340, 15340, 15340, 15340, 15340, 15340, 15340, 15340, 15371, 15371, 15371, 15371, 15371, 15371, 15371, 15371, 15371, 15371, 15371, 15371, 15400, 15400, 15400, 15400, 15400, 15400, 15400, 15400, 15400, 15400, 15400, 15400, 15431, 15431, 15431, 15431, 15431, 15431, 15431, 15431, 15431, 15431, 15431, 15431, 15461, 15461, 15461, 15461, 15461, 15461, 15461, 15461, 15461, 15461, 15461, 15461, 15492, 15492, 15492, 15492, 15492, 15492, 15492, 15492, 15492, 15492, 15492, 15492, 15522, 15522, 15522, 15522, 15522, 15522, 15522, 15522, 15522, 15522, 15522, 15522, 15553, 15553, 15553, 15553, 15553, 15553, 15553, 15553, 15553, 15553, 15553, 15553), class = "Date"), variable = c("b", "bc", "f", "in", "it", "l", "of", "o", "pr", "s", "total", "tr", "b", "bc", "f", "in", "it", "l", "of", "o", "pr", "s", "total", "tr", "b", "bc", "f", "in", "it", "l", "of", "o", "pr", "s", "total", "tr", "b", "bc", "f", "in", "it", "l", "of", "o", "pr", "s", "total", "tr", "b", "bc", "f", "in", "it", "l", "of", "o", "pr", "s", "total", "tr", "b", "bc", "f", "in", "it", "l", "of", "o", "pr", "s", "total", "tr", "b", "bc", "f", "in", "it", "l", "of", "o", "pr", "s", "total", "tr", "b", "bc", "f", "in", "it", "l", "of", "o", "pr", "s", "total", "tr"), value = c(-23, 6.90000000000001, 459.799999999999, -403.6, -56.1, -95, -13.8, 32.6, 121.5, -15.7, 26.2000000000007, 12.5, -25.1, 238.3, 1047.2, -803.2, -151.5, -260.5, -59.6, -93.8, 461.5, -37.7, 26.7999999999993, -288.8, -46.4, 249, 1289.8, -783.2, -188.1, -414.9, -77.7, -61, 928.4, -36.8, 17.4000000000015, -841.7, -46.5, 276.2, 1384.8, -541.1, -71.8999999999999, -433.3, -61.3, -28.3, 494.699999999999, -23.4, -14.5999999999985, -964.5, -46.1, 376.2, 1020.1, -119.4, 56.8000000000001, -447.7, -9.50000000000001, 14.2, -9.20000000000164, 2.5, -42.7999999999993, -880.6, -52.9, 345.5, 892.599999999999, -241.8, 144.3, -428.2, -3.30000000000001, 91.9, -294.800000000002, -5.19999999999999, -42.1999999999971, -490.1, -64.5, 379.7, 679.299999999999, -143.1, 185.9, -419.8, -4.30000000000001, 182.4, -421.900000000002, 1.80000000000001, -59.8999999999978, -435.2, -80.2, 422.2, 645.499999999998, -391.4, 76.6000000000001, -387.4, -1.70000000000001, 211.2, -131.500000000002, -10.6, -40.8999999999978, -393.6), fill = c("#A4D3EE80", "#A478AB80", "#01AEF080", "#8DC73F80", "#F8931D80", "#FFAAAA80", "#8C8C8C", "#D38D5F80", "#23238E80", "#77B9B780", "#C8373780", "#EEDD8280", "#A4D3EE80", "#A478AB80", "#01AEF080", "#8DC73F80", "#F8931D80", "#FFAAAA80", "#8C8C8C", "#D38D5F80", "#23238E80", "#77B9B780", "#C8373780", "#EEDD8280", "#A4D3EE80", "#A478AB80", "#01AEF080", "#8DC73F80", "#F8931D80", "#FFAAAA80", "#8C8C8C", "#D38D5F80", "#23238E80", "#77B9B780", "#C8373780", "#EEDD8280", "#A4D3EE80", "#A478AB80", "#01AEF080", "#8DC73F80", "#F8931D80", "#FFAAAA80", "#8C8C8C", "#D38D5F80", "#23238E80", "#77B9B780", "#C8373780", "#EEDD8280", "#A4D3EE80", "#A478AB80", "#01AEF080", "#8DC73F80", "#F8931D80", "#FFAAAA80", "#8C8C8C", "#D38D5F80", "#23238E80", "#77B9B780", "#C8373780", "#EEDD8280", "#A4D3EE80", "#A478AB80", "#01AEF080", "#8DC73F80", "#F8931D80", "#FFAAAA80", "#8C8C8C", "#D38D5F80", "#23238E80", "#77B9B780", "#C8373780", "#EEDD8280", "#A4D3EE80", "#A478AB80", "#01AEF080", "#8DC73F80", "#F8931D80", "#FFAAAA80", "#8C8C8C", "#D38D5F80", "#23238E80", "#77B9B780", "#C8373780", "#EEDD8280", "#A4D3EE80", "#A478AB80", "#01AEF080", "#8DC73F80", "#F8931D80", "#FFAAAA80", "#8C8C8C", "#D38D5F80", "#23238E80", "#77B9B780", "#C8373780", "#EEDD8280")), .Names = c("mydate", "variable", "value", "fill"), row.names = c(NA, 96L), class = "data.frame")

myvals <- mymelt[mymelt$mydate == mymelt$mydate[nrow(mymelt)],] ## last date in mymelt should always be same as plotenddate as we subset earlier
mymelt <- within(mymelt, variable <- factor(variable, as.character(myvals[order(myvals$value, decreasing = T),]$variable), ordered = TRUE))

p <- ggplot(mymelt, aes(x = mydate, y = value)) +
    geom_line(lwd=0.3) +
    facet_grid(. ~ variable) +
    theme(axis.text.x = element_text(size = 5, angle = 90),
          axis.text.y = element_text(size = 8),
          axis.title.x = element_text(vjust = 0),
          axis.ticks = element_blank(),
          panel.grid.minor = element_blank())

fig <- ggplotly(p)

fig

Geom Line

library(plotly)
library(plyr)

date <- rep(as.Date(1:365,origin='2011-1-1'),7)
location <- factor(rep(1:7,365))
product <- rep(letters[1:7], each=365)
value <- c(sample(1:10, size=365, replace=T),sample(1:3, size=365, replace=T),
           sample(10:100, size=365, replace=T), sample(1:50, size=365, replace=T),
           sample(1:20, size=365, replace=T),sample(50:100, size=365, replace=T),
           sample(1:100, size=365, replace=T))
dat<-data.frame(date,location,product,value)

p <- ggplot(dat, aes(x=date, y=value, color=location, group=location)) +
    geom_line()+
    facet_grid(product ~ ., scale = "free_y")

fig <- ggplotly(p)

fig

What About Dash?

Dash for R is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library.

Learn about how to install Dash for R at https://dashr.plot.ly/installation.

Everywhere in this page that you see fig, you can display the same figure in a Dash for R application by passing it to the figure argument of the Graph component from the built-in dashCoreComponents package like this:

library(plotly)

fig <- plot_ly() 
# fig <- fig %>% add_trace( ... )
# fig <- fig %>% layout( ... ) 

library(dash)
library(dashCoreComponents)
library(dashHtmlComponents)

app <- Dash$new()
app$layout(
    htmlDiv(
        list(
            dccGraph(figure=fig) 
        )
     )
)

app$run_server(debug=TRUE, dev_tools_hot_reload=FALSE)