Mind the gap: when the news article run ahead of the science

This is a quick post on a blatant example on how careful and prudent interpretation in scientific articles are over-simplified in news article. Scrolling through lemonde.fr website I found this article about a long-term study that looked at the long-term changes in insect biomass. In this article one can reads: 'Le facteur majeur permettant d’expliquer … Continue reading Mind the gap: when the news article run ahead of the science

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Interpreting three-way interactions in R

A reader asked in a comment to my post on interpreting two-way interactions if I could also explain interaction between two categorical variables and one continuous variable. Rather than just dwelling on this particular case, here is a full blog post with all possible combination of categorical and continuous variables and how to interprete standard … Continue reading Interpreting three-way interactions in R

Introduction to point pattern analysis for ecologists

Point pattern analysis is a set of techniques to analyze spatial point data. In ecology this type of analysis may arise in several context but make specific assumptions regarding the ways the data were generated, so let's first see what type of ecological data may or may not be relevant for point pattern analysis.  What … Continue reading Introduction to point pattern analysis for ecologists

Cause, mechanism and prediction in ecology

This is a theme that bugged me for the past few months, through reading (Peters' critique for ecology, Shipley's path analysis book), meetings and discussions (IK computation ecology). So it is time to actually sit down, think this through and organize my thoughts. What better way to achieve this than to write a post? What … Continue reading Cause, mechanism and prediction in ecology

Adding group-level predictors in GLMM using lme4

Sometime I happen to be wrong, this is one of these instance. The issue: a colleague measured individual plant growth and measured light irradiation received by each individual, the plants where in groups of 10 individuals and he measured soil parameters at the group-level. To analyze the effect of light on plant growth while controlling … Continue reading Adding group-level predictors in GLMM using lme4

Simulating SEMs for piecewiseSEM: part 1 the basics

Structural Equation Models are being used more and more frequently by ecologists due to the appeal of linking variables together in complex web of interactions. There are currently two main libraries in R to fit such models: lavaan and piecewiseSEM. The aim of this post is not to discuss the advantages and drawbacks of these … Continue reading Simulating SEMs for piecewiseSEM: part 1 the basics

How not to control for multiple testing

While reading the method section of a recent article by Solivares et al, I came upon the following paragraph: "The inclusion of many predictors in statistical models increases the chance of type I error (false positives). To account for this we used a Bernoulli process to detect false discovery rates, where the probability (P) of … Continue reading How not to control for multiple testing