How to create a kernel density plots using lattice package in R?
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# How to create a kernel density plots using lattice package in R?

This recipe helps you create a kernel density plots using lattice package in R

## Recipe Objective

How to create a kernel density using a lattice package in R? Kernel density plots are nothing but smoothed histogram plots. It is a data visualization tool used for plotting continuous variables. These plots help with visualizing the shape of the data properly i.e whether they are symmetric or skewed in nature. Lattice is a data visualization and graphics package in R. This recipe demonstrates an example on Kernel -Density plots.

## Step 1 - Install necessary package and library

install.packages("lattice") library(lattice)

## Step 2 - Generate random data for input vector

set.seed(1) x <- rnorm(100)

## Step 3 - Plot a kernel density plot

Syntax - densityplot( ~ x, main , xlab) where, ~x - the formula for plotting density main - title for the graph xlab - tilte of the x axis ylab - default label - Density

``` densityplot(~ x, main = "Density plot", xlab = " x _values") ```
``` " Output of the code is :"
```

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