geom_histogram in ggplot2
How to make a histogram in ggplot2. Examples and tutorials for plotting histograms with geom_histogram, geom_density and stat_density.
New to Plotly?
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 Histogram
library(plotly)
dat <- data.frame(xx = c(runif(100,20,50),runif(100,40,80),runif(100,0,30)),yy = rep(letters[1:3],each = 100))
p <- ggplot(dat,aes(x=xx)) +
geom_histogram(data=subset(dat,yy == 'a'),fill = "red", alpha = 0.2) +
geom_histogram(data=subset(dat,yy == 'b'),fill = "blue", alpha = 0.2) +
geom_histogram(data=subset(dat,yy == 'c'),fill = "green", alpha = 0.2)
fig <- ggplotly(p)
fig
Add Lines
library(plotly)
df1 <- data.frame(cond = factor( rep(c("A","B"), each=200) ),
rating = c(rnorm(200),rnorm(200, mean=.8)))
df2 <- data.frame(x=c(.5,1),cond=factor(c("A","B")))
p <- ggplot(data=df1, aes(x=rating, fill=cond)) +
geom_vline(xintercept=c(.5,1)) +
geom_histogram(binwidth=.5, position="dodge")
fig <- ggplotly(p)
fig
Add Facet
library(plotly)
df <- data.frame (type=rep(1:2, each=1000), subtype=rep(c("a","b"), each=500), value=rnorm(4000, 0,1))
library(plyr)
df.text<-ddply(df,.(type,subtype),summarise,mean.value=mean(value))
p <- ggplot(df, aes(x=value, fill=subtype)) +
geom_histogram(position="identity", alpha=0.4)+
facet_grid(. ~ type)
fig <- ggplotly(p)
fig
Probability & Density
library(plotly)
df <- data.frame(x = rnorm(1000))
p <- ggplot(df, aes(x=x)) +
geom_histogram(aes(y = ..density..), binwidth=density(df$x)$bw) +
geom_density(fill="red", alpha = 0.2)
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)