facet_wrap in ggplot2

How to make subplots with facet_wrap in ggplot2 and R.

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library(plotly)
packageVersion('plotly')

## [1] '4.5.6.9000'

Basic Columns

library(reshape2)
library(plotly)

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

# Divide by day, going horizontally and wrapping with 2 columns
p <- p + facet_wrap( ~ day, ncol=2)

p <- ggplotly(p)

# Create a shareable link to your chart
# Set up API credentials: https://plot.ly/r/getting-started
chart_link = plotly_POST(p, filename="facetwrap/basic")
chart_link

Inspired by Cookbook for R

Add Unique Curves

library(plotly)

## read in data set (tolerance data from the ALDA book)
tolerance <- read.table("http://www.ats.ucla.edu/stat/r/examples/alda/data/tolerance1_pp.txt",
    sep = ",", header = TRUE)

## change id and male to factor variables
tolerance <- within(tolerance, {
    id <- factor(id)
    male <- factor(male, levels = 0:1, labels = c("female", "male"))
})


p <- ggplot(data = tolerance, aes(x = time, y = tolerance)) + geom_point() +
    stat_smooth(method = "lm", se = FALSE) + facet_wrap(~id)

p <- ggplotly(p)

# Create a shareable link to your chart
# Set up API credentials: https://plot.ly/r/getting-started
chart_link = plotly_POST(p, filename="facetwrap/curves")
chart_link

Inspired by The IDRE at UCLA

Add Stat_Smooth

library(plotly)

p <- ggplot(mpg, aes(displ, hwy))+
  geom_point()+
  stat_smooth()+
  facet_wrap(~year)

p <- ggplotly(p)

# Create a shareable link to your chart
# Set up API credentials: https://plot.ly/r/getting-started
chart_link = plotly_POST(p, filename="facetwrap/stat_smooth")
chart_link

Inspired by R Study Group

Labels

library(plotly)
set.seed(123)

df <- diamonds[sample(1:nrow(diamonds), size = 1000), ]

# Create labels
labs <- c("Best","Second best","Third best","Average", "Average","Third Worst","Second Worst","Worst")
levels(df$clarity) <- rev(labs)

p <- ggplot(df, aes(carat, price)) + 
  geom_point() + 
  facet_wrap(~ clarity)

p <- ggplotly(p)

# Create a shareable link to your chart
# Set up API credentials: https://plot.ly/r/getting-started
chart_link = plotly_POST(p, filename="facetwrap/labels")
chart_link

Inspired by Stack Overflow

Titles

library(plotly)
set.seed(123)

df <- diamonds[sample(1:nrow(diamonds), size = 1000), ]

# Create labels
labs <- c("Best","Second best","Third best","Average", "Average","Third Worst","Second Worst","Worst")
levels(df$clarity) <- rev(labs)

p <- ggplot(df, aes(carat, price)) + 
  geom_point() + 
  facet_wrap(~ clarity) + 
  ggtitle("Diamonds dataset facetted by clarity")

p <- ggplotly(p)

# Create a shareable link to your chart
# Set up API credentials: https://plot.ly/r/getting-started
chart_link = plotly_POST(p, filename="facetwrap/titles")
chart_link

Inspired by ggplot2 Documentation

Ordered Facets

library(plotly)
set.seed(123)

df <- diamonds[sample(1:nrow(diamonds), size = 1000), ]

# Reorer levels

levels(df$clarity) <- c("VS2", "VS1", "VVS2", "I1", "SI2", "IF", "VVS1", "SI1")

p <- ggplot(df, aes(carat, price)) + 
  geom_point() + 
  facet_wrap(~ clarity) + 
  ggtitle("Diamonds dataset facetted by clarity")

p <- ggplotly(p)

# Create a shareable link to your chart
# Set up API credentials: https://plot.ly/r/getting-started
chart_link = plotly_POST(p, filename="facetwrap/ordered")
chart_link

Inspired by Stack Overflow