# 479 search results for "boxplot"

## R for Publication by Page Piccinini: Lesson 5 – Analysis of Variance (ANOVA)

June 20, 2016
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In today’s lesson we’ll take care of the baseline issue we had in the last lesson when we have a linear model with an interaction. To do that we’ll be learning about analysis of variance or ANOVA. We’ll also be going over how to make barplots with error bars, but not without hearing my reasons Lesson 5: Analysis...

## Venn Diagram Comparison of Boruta, FSelectorRcpp and GLMnet Algorithms

June 18, 2016
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Feature selection is a process of extracting valuable features that have significant influence on dependent variable. This is still an active field of research and machine wandering. In this post I compare few feature selection algorithms: traditional GLM with regularization, computationally demanding Boruta and entropy based filter from FSelectorRcpp (free of Java/Weka) package....

## Venn Diagram Comparison of Boruta, FSelectorRcpp and GLMnet Algorithms

June 17, 2016
By

Feature selection is a process of extracting valuable features that have significant influence on dependent variable. This is still an active field of research and machine wandering. In this post I compare few feature selection algorithms: traditional GLM with regularization, computationally demanding Boruta and entropy based filter from FSelectorRcpp (free of Java/Weka) package....

## R for Publication by Page Piccinini: Lesson 4 – Multiple Regression

June 13, 2016
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Introduction Today we’ll see what happens when you have not one, but two variables in your model. We will also continue to use some old and new dplyr calls, as well as another parameter for our ggplot2 figure. I’ll be taking for granted some of the set-up steps from Lesson 1, so if you haven’t done Lesson 4: Multiple...

## Introduction to R for Data Science :: Session 7 [Multiple Linear Regression Model in R  + Categorical Predictors, Partial and Part Correlation]

June 9, 2016
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Welcome to Introduction to R for Data Science Session 7: Multiple Regression + Dummy Coding, Partial and Part Correlations [Multiple Linear Regression in R. Dummy coding: various ways to do it in R. Factors. Inspecting the multiple regression model: regression coefficients and their interpretation, confidence intervals, predictions. Introducing {lattice} plots + ggplot2. Assumptions: multicolinearity and testing it from the...

## Introduction to R for Data Science :: Session 6 [Linear Regression Model in R  + EDA, and Normality Tests]

June 6, 2016
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Welcome to Introduction to R for Data Science Session 6: Linear Regression + EDA, and Normality tests The course is co-organized by Data...

## Using caret to compare models

June 2, 2016
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by Joseph Rickert The model table on the caret package website lists more that 200 variations of predictive analytics models that are available withing the caret framework. All of these models may be prepared, tuned, fit and evaluated with a common set of caret functions. All on its own, the table is an impressive testament to the utility and...

## R for Publication by Page Piccinini: Lesson 2 – Linear Regression

June 2, 2016
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This is our first lesson where we actually learn and use a new statistic in R. For today’s lesson we’ll be focusing on linear regression. I’ll be taking for granted some of the set-up steps from Lesson 1, so if you haven’t done that yet be sure to go back and do it. By the Lesson 2: Linear...

## R for Publication by Page Piccinini: Lesson 1 – R Basics

May 29, 2016
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Before starting this lesson you should have completed all of the steps in Lesson 0. If you have not, go back and do the lesson now. By the end of this lesson you will be able to: Make an R Project. Commit to Git. Push to Bitbucket. Read in and manipulate data. Make a figure Lesson 1: R...

## Re-introducing cricketr! : An R package to analyze performances of cricketers

May 14, 2016
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In this post I re-introduce R package cricketr. I have added 8 new functions to my R package cricketr, available from version cricketr_0.0.13 namely batsmanCumulativeAverageRuns batsmanCumulativeStrikeRate bowlerCumulativeAvgEconRate bowlerCumulativeAvgWicketRate relativeBatsmanCumulativeAvgRuns relativeBatsmanCumulativeStrikeRate relativeBowlerCumulativeAvgWickets relativeBowlerCumulativeAvgEconRate This post updates my earlier post Introducing cricketr:An R package for analyzing performances of cricketrs Yet all experience is an arch wherethro’ Gleams