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Matthieu Renard
Matthieu Renard

136 Followers

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Published in

Better Marketing

·Feb 16, 2020

The 5 Issues With Programmatic Ads

No. 4: Half of all display ads are impossible to see — I don’t intend to say that programmatic ads are bad per se — I want to put together some difficult-to-come-by facts to show that there are risks and downsides to programmatic ads. After all, the more you know, the better you can question and steer your campaigns. 1. Lack of Knowledge and Skills Lack of knowledge…

Digital Advertising

3 min read

The 5 Issues With Programmatic Ads
The 5 Issues With Programmatic Ads
Digital Advertising

3 min read


Published in

Towards Data Science

·Feb 1, 2020

Using Stringr and Regex to Extract Features from Textual and Alphanumeric Data in R

A Feature Extraction Tutorial Using the Titanic Dataset — Large data sets are often awash with data that is difficult to decipher. One may think of textual data, names, unique identifiers, and other sorts of codes. Frequently, people analyzing these datasets are quick to discard these variables. …

Feature Extraction

7 min read

Using Stringr and Regex to Extract Features from Textual and Alphanumeric Data in R
Using Stringr and Regex to Extract Features from Textual and Alphanumeric Data in R
Feature Extraction

7 min read


Published in

Towards Data Science

·Jan 8, 2020

Doing and reporting your first planned contrasts in R

How to test your directional hypothesis with this ANOVA post-hoc test — It’s a situation many of us face: You just ran an ANOVA, and your results are significant… but what next? We basically know that something is going on, but what exactly? Which treatments are making the difference? This is where planned contrasts come in. They sound more complicated than they…

Data Science

6 min read

Doing and reporting your first planned contrasts in R
Doing and reporting your first planned contrasts in R
Data Science

6 min read


Published in

Towards Data Science

·Jan 2, 2020

One of the most common mistakes when running an ANOVA in R

Or: Why do the OLS regression (lm) and ANOVA (aov) function sometimes differ, and how to fix it using the car package. — Imagine this scenario: You are running an ANOVA in R while controlling for other variables (technically, an ANCOVA). However, the results seem weird: The order of the independent variables matter and influence the results — how can that be? And if you try to enter the same model as a…

Data Science

4 min read

One of the most common mistakes when running an ANOVA in R
One of the most common mistakes when running an ANOVA in R
Data Science

4 min read


Published in

Towards Data Science

·Jan 1, 2020

Visualizing marginal effects using ggeffects in R

A guide to graphically presenting the marginal effects of key variables in datasets. — It’s a known dilemma: You know that your variable X1 impacts your variable Y, and you can show it in a regression analysis, but it is hard to show it graphically. The reason is that there is another variable impacting Y, namely X2, and only after the effect of X2…

Data Science

4 min read

Visualizing marginal effects using ggeffects in R
Visualizing marginal effects using ggeffects in R
Data Science

4 min read


Published in

Towards Data Science

·Dec 23, 2019

Doing and reporting your first ANOVA and ANCOVA in R

How to test and report the impact of a categorical independent variable on an interval dependent variable. — Analysis of Variance, or ANOVA, is a frequently-used and fundamental statistical test in many sciences. In its most common form, it analyzes how much of the variance of the dependent variable can be attributed to the independent variable(s) in the model. It is most often used to analyze the impact…

Data Science

9 min read

Doing and reporting your first ANOVA and ANCOVA in R
Doing and reporting your first ANOVA and ANCOVA in R
Data Science

9 min read


Published in

Towards Data Science

·Oct 13, 2019

Doing and reporting your first mediation analysis in R

How to test for and report mediated effects — This tutorial will explain what a mediation analysis is, show how to simulate data for mediation analysis, run the necessary statistical procedures, and write it up for publication. The introduction will be concerned with establishing what a meditation exactly is. If you know what mediation is and just want to…

Data Science

10 min read

Doing and reporting your first mediation analysis in R
Doing and reporting your first mediation analysis in R
Data Science

10 min read


Published in

Towards Data Science

·Oct 2, 2018

Doing your first sentiment analysis in R with Sentimentr

The fastest & easiest way to extract sentiment from strings. — The Sentimentr package for R is beneficial in analyzing text for psychological or sociological studies. Its first big advantage is that it makes sentiment analysis simple and achievable within a few lines of code. …

Data Science

3 min read

Doing your first sentiment analysis in R with Sentimentr
Doing your first sentiment analysis in R with Sentimentr
Data Science

3 min read

Matthieu Renard

Matthieu Renard

136 Followers
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