Publications by Jim
Gamma distribution in R
The post Gamma distribution in R appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. Gamma distribution in R, This guide demonstrates how to use R to fit a gamma distribution to a dataset. Gamma Distribution Fitting in R Let’s say you have a dataset z that was produce...
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Triangular Distribution in R
The post Triangular Distribution in R appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. Triangular Distribution in R, A continuous probability distribution with a triangle-shaped probability density function is known as the triangular distribution. The following three...
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How to Use Bold Font in R with Examples
The post How to Use Bold Font in R with Examples appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. How to Use Bold Font in R, to create a bold typeface in R plots, use the basic syntax shown below: substitute(paste(bold('datasciencetut.com'))) These examples demonstra...
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How to Replace Inf Values with NA in R
The post How to Replace Inf Values with NA in R appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. Replace Inf Values with NA in R, you can substitute NA values for Inf values using the techniques listed below: Method 1: Replace Inf with NA in Vector x[is.infinite(x)] ...
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Extract patterns in R?
The post Extract patterns in R? appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. Extract patterns in R, R’s str extract() function can be used to extract matching patterns from strings. It is part of the stringr package. The syntax for this function is as follows: ...
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Difference between R and Python
The post Difference between R and Python appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. While Python offers a more all-encompassing approach to data science, R is primarily employed for statistical analysis. R’s main goals are data analysis and statistics, while ...
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How to Analyze Likert Scale Data?
The post How to Analyze Likert Scale Data? appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. How to Analyze Likert Scale Data? The most popular technique for sizing replies in survey investigations is the use of Likert scales. The Likert scale is used in survey quest...
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Cross-validation in Machine Learning
The post Cross-validation in Machine Learning appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. Cross-validation in Machine Learning, cross-validation is a word that everyone who works with machine learning techniques will come across at some point. We provide you wi...
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How to compare the performance of different algorithms in R?
The post How to compare the performance of different algorithms in R? appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. How to compare the performance of different algorithms in R?, Installing and loading the microbenchmark package into R is the first step. In additi...
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Add Significance Level and Stars to Plot in R
The post Add Significance Level and Stars to Plot in R appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. Add Significance Level and Stars to Plot in R, In this article, I’ll show you how to use the R programming language’s ggsignif package to annotate a ggplot2 pl...
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