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

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

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 :"

Relevant Projects

Music Recommendation System Project using Python and R
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.

Time Series Forecasting with LSTM Neural Network Python
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.

Human Activity Recognition Using Multiclass Classification in Python
In this human activity recognition project, we use multiclass classification machine learning techniques to analyse fitness dataset from a smartphone tracker.

Zillow’s Home Value Prediction (Zestimate)
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.

Choosing the right Time Series Forecasting Methods
There are different time series forecasting methods to forecast stock price, demand etc. In this machine learning project, you will learn to determine which forecasting method to be used when and how to apply with time series forecasting example.

Demand prediction of driver availability using multistep time series analysis
In this supervised learning machine learning project, you will predict the availability of a driver in a specific area by using multi step time series analysis.

Machine Learning or Predictive Models in IoT - Energy Prediction Use Case
In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.

Resume parsing with Machine learning - NLP with Python OCR and Spacy
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.

Forecast Inventory demand using historical sales data in R
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.

Predict Census Income using Deep Learning Models
In this project, we are going to work on Deep Learning using H2O to predict Census income.