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Advanced R Stats

R Language Tutorials for Advanced Statistics

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PAGE TITLE
Advanced R Stats | r-statistics.co Reviews
<META>
DESCRIPTION
R Language Tutorials for Advanced Statistics
<META>
KEYWORDS
1 R
2 Tutorial
3 Machine learning
4 Statistics
5 Data Mining
6 Analytics
7 Data science
8 Linear Regression
9 Logistic Regression
10 Time series
CONTENT
Page content here
KEYWORDS ON
PAGE
r statistics co,tutorial,r tutorial,ggplot2,ggplot2 short tutorial,ggplot2 quickref,foundations,linear regression,statistical tests,missing value treatment,outlier analysis,feature selection,model selection,logistic regression,advanced linear regression
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Advanced R Stats | r-statistics.co Reviews

https://r-statistics.co

R Language Tutorials for Advanced Statistics

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1

Association Mining With R | arules

http://r-statistics.co/Association-Mining-With-R.html

Ggplot2 Tutorial 1 - Intro. Ggplot2 Tutorial 2 - Theme. Ggplot2 Tutorial 3 - Masterlist. More Time Series Forecasting. Strategies to Speedup R code. Stay up-to-date. Subscribe! Association Mining (Market Basket Analysis). Association mining is commonly used to make product recommendations by identifying products that are frequently bought together. But, if you are not careful, the rules can give misleading results in certain cases. Algorithm makes it easier to find these patterns or. So, What is a. Expec...

2

Parallel Computing

http://r-statistics.co/Parallel-Computing-With-R.html

Ggplot2 Tutorial 1 - Intro. Ggplot2 Tutorial 2 - Theme. Ggplot2 Tutorial 3 - Masterlist. More Time Series Forecasting. Strategies to Speedup R code. Stay up-to-date. Subscribe! R provides a number of convenient facilities for parallel computing. The following method shows you how to setup and run a parallel process on your current multi-core device, without need for additional hardware. Setting up for parallelization. Registering cores for parallel process. 4 number of cores. Running the parallel process.

3

Missing Value Treatment

http://r-statistics.co/Missing-Value-Treatment-With-R.html

Ggplot2 Tutorial 1 - Intro. Ggplot2 Tutorial 2 - Theme. Ggplot2 Tutorial 3 - Masterlist. More Time Series Forecasting. Strategies to Speedup R code. Stay up-to-date. Subscribe! Missing values in data is a common phenomenon in real world problems. Knowing how to handle missing values effectively is a required step to reduce bias and to produce powerful models. Lets explore various options of how to deal with missing values and how to implement them. Data prep and pattern. 6 002985 0 2.18 0 0.458 6...The m...

4

ggplot2 Quick Reference

http://r-statistics.co/ggplot2-cheatsheet.html

Ggplot2 Tutorial 1 - Intro. Ggplot2 Tutorial 2 - Theme. Ggplot2 Tutorial 3 - Masterlist. More Time Series Forecasting. Strategies to Speedup R code. Stay up-to-date. Subscribe! Static - point size, shape, color and boundary thickness. Dynamic - point size, shape, color and boundary thickness. Add title, X and Y axis labels. Change color of all text. Change title, X and Y axis label size. Change title face, color, line height. Adjust X and Y axis limits. Change X and Y axis labels. Flip X and Y axis.

5

Top 50 ggplot2 Visualizations - The Master List (With Full R Code)

http://r-statistics.co/Top50-Ggplot2-Visualizations-MasterList-R-Code.html

Ggplot2 Tutorial 1 - Intro. Ggplot2 Tutorial 2 - Theme. Ggplot2 Tutorial 3 - Masterlist. More Time Series Forecasting. Strategies to Speedup R code. Stay up-to-date. Subscribe! Top 50 ggplot2 Visualizations - The Master List (With Full R Code). What type of visualization to use for what sort of problem? This tutorial helps you choose the right type of chart for your specific objectives and how to implement it in R using ggplot2. Part 1: Introduction to ggplot2. Part 2: Customizing the Look and Feel.

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Outlier detection and treatment with R | DataScience+

https://datascienceplus.com/outlier-detection-and-treatment-with-r

Learn R programming for data science. We publish R tutorials from scientists at academic and scientific institutions with a goal to give everyone in the world access to a free knowledge. Our tutorials cover different topics including statistics, data manipulation and visualization! Outlier detection and treatment with R. On December 9, 2016. Outliers in data can distort predictions and affect the accuracy, if you don’t detect and handle them appropriately especially in regression models. Xlab="speed", yl...

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Learn R From Scratch – Part 1 | DataScience+

https://datascienceplus.com/learn-r-from-scratch-part-1

Learn R programming for data science. We publish R tutorials from scientists at academic and scientific institutions with a goal to give everyone in the world access to a free knowledge. Our tutorials cover different topics including statistics, data manipulation and visualization! Learn R From Scratch – Part 1. On January 19, 2016. NO, and not necessary! Series that explains the core concepts in the simplest terms. So, Lets begin. Find below the video tutorial(s) for this post. 04 Variables and Datatypes.

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Selva Prabhakaran | DataScience+ Author

https://datascienceplus.com/author/selva-prabhakaran

Learn R programming for data science. We publish R tutorials from scientists at academic and scientific institutions with a goal to give everyone in the world access to a free knowledge. Our tutorials cover different topics including statistics, data manipulation and visualization! Outlier detection and treatment with R. December 9th, 2016. Chi-Squared Test – The Purpose, The Math, When and How to Implement? August 14th, 2016. April 25th, 2016. Learn R By Intensive Practice – Part 2. April 13th, 2016.

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Learn R by Intensive Practice | DataScience+

https://datascienceplus.com/learn-r-by-intensive-practice

Learn R programming for data science. We publish R tutorials from scientists at academic and scientific institutions with a goal to give everyone in the world access to a free knowledge. Our tutorials cover different topics including statistics, data manipulation and visualization! Learn R by Intensive Practice. On March 10, 2016. Learn R by Intensive Practice. What makes this course unique? Once you learn it right, R is an absolutely fantastic to work with. In this series of 40 videos, I make things as ...

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Advanced R Stats

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R programming - R language - R commander | R statistics

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