ggplot2 histogram
library(ggplot2)
# Basic histogram
ggplot(df, aes(x=weight)) + geom_histogram()
# Change the width of bins
ggplot(df, aes(x=weight)) +
geom_histogram(binwidth=1)
# Change colors
p<-ggplot(df, aes(x=weight)) +
geom_histogram(color="black", fill="white")
pggplot2 histogram
# Add mean line
p+ geom_vline(aes(xintercept=mean(weight)),
color="blue", linetype="dashed", size=1)
# Histogram with density plot
ggplot(df, aes(x=weight)) +
geom_histogram(aes(y=..density..), colour="black", fill="white")+
geom_density(alpha=.2, fill="#FF6666")ggplot histogram two groups
# library
library(ggplot2)
library(dplyr)
library(hrbrthemes)
# Build dataset with different distributions
data <- data.frame(
type = c( rep("variable 1", 1000), rep("variable 2", 1000) ),
value = c( rnorm(1000), rnorm(1000, mean=4) )
)
# Represent it
p <- data %>%
ggplot( aes(x=value, fill=type)) +
geom_histogram( color="#e9ecef", alpha=0.6, position = 'identity') +
scale_fill_manual(values=c("#69b3a2", "#404080")) +
theme_ipsum() +
labs(fill="")Copyright © 2021 Codeinu
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