Tag: R

Fun With Plotly

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From Len Kiefer: “Plotly enables you to make interactive htlm widgets that you can embed in your webpage or view from within R. I’ve been having a lot of fun converting existing visualizations I have made with ggplot2 into plotly visualizations using ggplotly…. I’m going to include the code and discussion for several graphs I’ve been using. I will use updated data that we used in our Cross talk dashboard. … Continue Reading

R for Excel Users

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This post covers the why and how to switch from Excel to R for managing data and undertaking analysis. It covers the following topics: Four Fundamental Differences Between R and Excel Example: Joining two tables together Interation Generalizing through functions “Excel users have a strong mental model of how data analysis works, and this makes learning to program more difficult. However, learning to program will allow you to do things … Continue Reading

Getting Started with tidyverse in R

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From Storybench: “The tidyverse is a collection of R packages developed by RStudio’s chief scientist Hadley Wickham. These packages work well together as part of a larger data analysis pipeline. To learn more about these tools and how they work together, read R for data science…. The following tutorial will introduce some basic functions in tidyverse for structuring and analyzing datasets.”

Neural Networks from Scratch (in R)

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From Medium: This tutorial: “is for those of you with a statistics/econometrics background but not necessarily a machine-learning one and for those of you who want some guidance in building a neural-network from scratch in R to better understand how everything fits (and how i doesn’t).” The author’s motivations for writing the tutorial are: “Understanding (by writing from scratch) the leaky abstractions behind neural-networks dramatically shifted my focus to elements … Continue Reading

Emulating R plots in Python

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This tutorial covers the equivalent plotting commands in R and Python, with the goal of replicating R plots in Python: “Some commands can be straightforward replicated in Python, some are surprisingly hard to find equivalents without using custom functions etc.” The tutorial includes: Residual plots QQ plots Scale-location plots Leverage plots

Quick-R

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From Quick-R: “R is an elegant and comprehensive statistical and graphical programming language. Unfortunately, it can also have a steep learning curve. I created this website for both current R users, and experienced users of other statistical packages…who would like to transition into R. My goal is to help you quickly access this language in your work. I assume that you are already familiar with the statistical methods covered and … Continue Reading

R Tutorial

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This series of text-based tutorials covering a variety of introductory topics in R: Input Basic Data Types Basic Operations and Numerical Descriptions Basic Probability Distributions Basic Plots Intermediate Plotting Indexing Into Vectors Linear Least Squares Regression Calculating Confidence Intervals Calculating pValues Calculating The Power Of A Test Two Way Tables Data Management Time Data Types Introduction to Programming Object Oriented Programming Case Study: Working Through a HW Problem Case Study II: … Continue Reading

Data Science and Machine Learning Bootcamp with R

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From Udemy: “Learn how to use the R programming language for data science and machine learning and data visualization! What Will I Learn? Program in R Use R for Data Analysis Create Data Visualizations Use R to handle csv, excel, SQL files or web scraping Use R to manipulate data easily Use R for Machine Learning Algorithms Use R for Data Science”

Machine Learning A-Z: Hands-On Python & R In Data Science

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From Udemy: “Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included. What Will I Learn: Master Machine Learning on Python & R Have a great intuition of many Machine Learning models Make accurate predictions Make powerful analysis Make robust Machine Learning models Create strong added value to your business Use Machine Learning for personal purpose Handle specific topics like Reinforcement Learning, NLP … Continue Reading

A Course for Visualization in R, Taking You From Beginner to Advanced

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From FlowingData: “The point of this course is to remove the guesswork and guide you from beginner up to advanced. I recommend a four-week schedule — 5 to 10 hours per week — but you can learn at your own pace. You start with the basics of R and then jump right into visualization. The focus of the course is all about the how. You work through tutorials and pause to … Continue Reading