Blog Archives

A perfectly normally distributed sample: another post?

May 12, 2019
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A perfectly normally distributed sample: another post?

Recently, we published a post presenting a small convenience function, from the bayestestR package. This function, named rnorm_perfect, generated an empirical distribution (i.e., a vector of values) as close as possible to a desired distribution, in...

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Compute R2s and other performance indices for all your models!

April 29, 2019
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Compute R2s and other performance indices for all your models!

Indices of model performance (i.e., model quality, goodness of fit, predictive accuracy etc.) are very important, both for model comparison and model description purposes. However, their computation or extraction for a wide variety of models can be complex. To address this, please let us introduce the performance package! performance We have recently decided to collaborate around the new easystats project, a...

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A unified syntax for accessing models’ information

April 1, 2019
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The richness and variety of packages for building and fitting statistical models in R is absolutely astonishing and contributes to the language’s popularity. However, this diversity makes it hard for developpers that want to create tools that work with different types of models. Indeed, the way to access models’ internal information (such as parameters names, formulae, data, etc.) is...

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A unified syntax for accessing models’ information

April 1, 2019
By

The richness and variety of packages for building and fitting statistical models in R is absolutely astonishing and contributes to the language’s popularity. However, this diversity makes it hard for developpers that want to create tools that work with different types of models. Indeed, the way to access models’ internal information (such as parameters names, formulae, data, etc.) is...

Read more »

A unified syntax for accessing models’ information

April 1, 2019
By

The richness and variety of packages for building and fitting statistical models in R is absolutely astonishing and contributes to the language’s popularity. However, this diversity makes it hard for developpers that want to create tools that work with different types of models. Indeed, the way to access models’ internal information (such as parameters names, formulae, data, etc.) is...

Read more »

The end of errors in ANOVA reporting

March 27, 2019
By

Psychological science is still massively using analysis of variance (ANOVA). Despite its relative simplicity, I am very often confronted to errors in its reporting, for instance in student’s theses or manuscripts, or even published papers (See the excellent statcheck to quickly check the stats of a paper). Beyond the incomplete or just wrong reporting, one can find a tremendous...

Read more »

The end of errors in ANOVA reporting

March 27, 2019
By

Psychological science is still massively using analysis of variance (ANOVA). Despite its relative simplicity, I am very often confronted to errors in its reporting, for instance in student’s theses or manuscripts, or even published papers (See the excellent statcheck to quickly check the stats of a paper). Beyond the incomplete or just wrong reporting, one can find a tremendous...

Read more »

The end of errors in ANOVA reporting

March 27, 2019
By

Psychological science is still massively using analysis of variance (ANOVA). Despite its relative simplicity, I am very often confronted to errors in its reporting, for instance in student’s theses or manuscripts, or even published papers (See the excellent statcheck to quickly check the stats of a paper). Beyond the incomplete or just wrong reporting, one can find a tremendous...

Read more »

The end of errors in ANOVA reporting

March 27, 2019
By

Psychological science is still massively using analysis of variance (ANOVA). Despite its relative simplicity, I am very often confronted to errors in its reporting, for instance in student’s theses or manuscripts, or even published papers (See the excellent statcheck to quickly check the stats of a paper). Beyond the incomplete or just wrong reporting, one can find a tremendous...

Read more »

Formatted correlation output with effect sizes

March 27, 2019
By

One of the most time-consuming part of data analysis in science is the copy-pasting of specific values of some R output to a manuscript or a report. This task is frustrating, prone to errors, and increases the variability of statistical reporting. At the sime time, standardizing practices of what and how to report is crucial for reproducibility and clarity....

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