Boxplots in R, A boxplot is a plot that displays the five-digit summary of a dataset. The five-digit summary is the lowest value, the first quartile, the median, the third quartile, and the maximum value.

We can use a boxplot to easily visualize a set of data.

Principal component analysis (PCA) in R »

Boxplots in R

Let’s create a data frame for box plot generation.

data <- data.frame( A = rpois(900, 3),
                    B = rnorm(900),
                    C = runif(900)

Suppose if want to create a single boxplot then the following syntax will be useful.

boxplot(data)

Output:-

Let’s take ToothGrowth data frame for Box plot generation.

Timeseries analysis in R » Decomposition, & Forecasting »

head(ToothGrowth)
len supp dose
1  4.2   VC  0.5
2 11.5   VC  0.5
3  7.3   VC  0.5
4  5.8   VC  0.5
5  6.4   VC  0.5
6 10.0   VC  0.5

Suppose if we want to generate one boxplot for each supp in the dataset. Create a boxplot that displays len distribution for each supp in the dataset.

LSTM Network in R » Recurrent Neural network »

boxplot(len~supp,
data= ToothGrowth,
main="ToothGrowth ",
xlab="supp",
ylab="len",
col="red",border="black"
)

boxplot(len~dose,
        data=ToothGrowth,
        main="Different boxplots for per day growth",
        xlab="Tooth length",
        col="green",
        border="brown",
        horizontal=TRUE
       )

Boxplot in R-ggplot2

We can make use of ggplot2 for boxplot creation. Let’s load the library.

Decision Trees in R » Classification & Regression »

library(ggplot2)
ggplot(data = ToothGrowth, aes(x=as.character(supp), y=len)) +
    geom_boxplot(fill="orange") +
    labs(title=" ToothGrowth ", x="Supp", y="len")

Preparing for Kerala PSC check your score now.

The post How to Make Boxplot in R-Quick Start Guide appeared first on finnstats.