# Blog

## Building views with R

In database theory, a view is a table that actively depend on a data frame and on a query on it, so that if you change something in the data frame, the view will change accordingly. To have something similar to a view in R here we propose the ‘%>>%’ operator, friendly to use and coherent with dplyr structure read more

## Raccoon | Ch 2.5 – Unbalanced and Nested Anova

Raccoon is a free web-book about Statistical Models with R. This chapter tackles two Anova special cases: Unbalanced Anova and Nested Anova . read more

## Multilabel classification with neuralnet package

Some time ago I wrote an article on how to use a simple neural network in R with the neuralnet package to tackle a regression task.
A few weeks ago, however, I was asked how to use the neuralnet package for making a multilabel classifier. I wrote a quick script as an example and thought I could write a short article on it, furthermore I think a classification tutorial using the neuralnet package could be complementary to the one I did on regression. read more

## Raccoon | Ch 2.4 – 3-way Anova

3-way Anova with R: how to find which factors influence a variable Y, analysing the difference between the group means defined by factors’ levels. A new chapter of Raccoon, a Quantide's free web book about Statistical Models with R. read more

## Raccoon | Ch 2.3 – 1-way Anova

Raccoon is a free web-book about Statistical Models with R. It's the collection of twenty years of notes, exercises and concepts working with statistics and R. This is the third section of the second chapter, about 1-way Anova. read more

## ggplot2: multiple legends for the same aesthetic

When working with ggplot2 you don't have to care about legend, it is automatically produced according to the mapped aesthetics. But producing separate legends for the same aesthetic is not easy. This article proposes a solution! read more

## My first date with R – Free live class in Milano

Microsoft, in collaboration with Quantide, is offering a one-day live course in Milano: a wide overview of R as a data science tool, in a free class, open to everybody. read more

## Raccoon | Ch 2.2 – 2 sample t-test and paired t

Raccoon is a free web-book about Statistical Models with R. It's the collection of twenty years of notes, exercises and concepts working with statistics and R. This is the second section of the second chapter, about 2-sample t-test and paired t. read more

## Raccoon | Ch. 2.1 – 1-sample t-test

Raccoon is a free web-book about Statistical Models with R. It's the collection of twenty years of notes, exercises and concepts working with statistics and R. This is the first section of the second chapter, about 1-sample t-test. read more

## Raccoon | Ch. 1 – Introduction to Linear Models with R

This is the first chapter of our new web book, Raccoon - Statistical Models with R: it's an introduction to Linear models, with theoratical explanation and lots of examples + two summary tables with linear model formulae and functions in R read more

## Raccoon: Statistical Models with R free web-book

Raccoon is a free web-book about Statistical Models with R. Raccoon is the collection of twenty years of notes, exercises and concepts working with statistics and R, and it is part of our web-book project, together with Rabbit: Introduction to R and Ramarro: R for Developers. read more

## Linpe: make sending and receiving data analysis faster and easier

When performing some kind of analysis in R it is usually common to use data stored in basic formats such as .csv or .Rdata, and then present the analysis using a .Rmd file. Linpe package allows to send a single file instead of two. It has been created by Andrea Spanò, managing partner at Quantide. read more

## Introduzione a R: corso base R gratuito su DataCamp in italiano

Quantide in partnership with DataCamp , offers an introductory online course to R completely in Italian. The course is free and open to anyone who wishes to participate. There is no requirement, you need only a Pc or a Mac with an Internet access. read more