What is knitR?

What is knitR?

What is knitR?

This recipe explains what is knitR


Recipe Objective

What is knitR ? A knitR function takes an input file, extracts the R code from it and returns an output file. It is a dynamic report generalization package. Knitr integrates R code in various documents like the HTML files, Markdown, Latex etc. An example of kable() is taken, which uses the knitr package in R. This recipe demonstrates an example on knitr package.

Step 1 - Install necessary library

install.packages('knitr') library("knitr")

Step 2 - kable() in R

kable() is a function of knitr package, used for generating tables in R.

data = dimnames(iris3) # using the iris dataset head(data)

Step 3 - Converting into html format

html_file = kable(data,format="html") html_file # converting into html format

Step 4 - Converting into table format

tab = kable(head(data), format = "simple", row.names = TRUE) # converting to simple table format tab

Relevant Projects

Deep Learning with Keras in R to Predict Customer Churn
In this deep learning project, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.

Data Science Project-TalkingData AdTracking Fraud Detection
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.

Credit Card Fraud Detection as a Classification Problem
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.

Ensemble Machine Learning Project - All State Insurance Claims Severity Prediction
In this ensemble machine learning project, we will predict what kind of claims an insurance company will get. This is implemented in python using ensemble machine learning algorithms.

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.

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.

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.

Topic modelling using Kmeans clustering to group customer reviews
In this Kmeans clustering machine learning project, you will perform topic modelling in order to group customer reviews based on recurring patterns.

Customer Churn Prediction Analysis using Ensemble Techniques
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.

Machine Learning project for Retail Price Optimization
In this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the first steps to building a dynamic pricing model.