How To Draw Two Historgrams Side By Side R

How to Plot Multiple Histograms in R?

In this article, nosotros will discuss how to plot multiple histograms in the R Programming language.

Method i: Multiple Histogram in Base R

To create multiple histograms in base R, we start make a single histogram and so add some other layer of the histogram on top of it. But in doing then some plots may clip off every bit axis are made according to the beginning plot. So, we tin add the xlim, and the ylim parameters in the kickoff plot to modify the axis limit according to our dataset.

Syntax:

hist( data, col, xlim, ylim ) hist( data, col )

where,

information: determines the data vector to exist plotted.
xlim: determines the vector with 10-axis limit.
ylim: determines the vector with y-axis limit.
col: determines the color of bars of the histogram.

Example:

Here, is basic multiple histograms made in the base R Language with help of hist() function.

R

                x1 =                                rnorm                (grand, mean=60, sd=10)              
                x2 =                                rnorm                (1000, mean=0, sd=ten)              
                x3 =                                rnorm                (yard, mean=xxx, sd=10)              
                hist                (x1, col=                'scarlet'                , xlim=                c                (-35, 100))              
                hist                (x2, col=                'greenish'                , add=                Truthful                )              
                hist                (x3, col=                'blue'                , add=                True                )              

Output:

Method 2: Multiple Histogram Using ggplot2

To create multiple histograms in ggplot2, nosotros use ggplot() office and geom_histogram() part of the ggplot2 package. To visualize multiple groups separately nosotros use the fill property of aesthetics function to color the plot by a categorical variable.

Syntax:

ggplot( df, aes( 10, fill ) ) + geom_histogram( color, blastoff )

where,

df: determines the information frame to exist plotted.
10: determines the information variable.
fill: determines the color of bars in the histogram.
colour: determines the color of the boundary of bars in the histogram.
alpha: determines the transparency of the plot.

Example:

Here, is bones multiple histograms made by using the geom_histogram() function of the ggplot2 package in the R Language.

R

                library                (ggplot2)              
                theme_set                (                theme_bw                (12))              
                xAxis <-                                rnorm                (500)              
                group <-                                rep                (1, 500)              
                grouping[xAxis > -2] <- 2              
                grouping[xAxis > -1] <- 3              
                group[xAxis > 0] <- four              
                group[xAxis > ane] <- 5              
                grouping[xAxis > 2] <- six              
                sample_data <-                                data.frame                (xAxis, grouping)              
                ggplot                (sample_data,                                aes                (ten=xAxis, fill =                                as.factor                (grouping)))+              
                                geom_histogram                ( color=                '#e9ecef'                , alpha=0.half dozen, position=                'identity'                )              