Tutorials
Three studies followed from start to finish: the question, the data, Nuée's windows one after the other, how to read the results, and the Methods text. Each has its table to download.
Before-after with controls (BACI)
Did removing a weir raise the density of young trout? Six stations over 14 years: the impact − control gap, the BACI mixed model and its conditions, the interaction read correctly, the adjusted means, the Methods text and Export to R.
PLS on spectra
Predicting the organic carbon of soils from their near-infrared spectrum: the preprocessing (SNV, detrending), the number of components by cross-validation, VIP, observed against predicted, the permutation test, then predicting new samples.
Monitoring a population
A skylark counted on 40 sites over 17 years: from Which analysis? to TRIM's indices and trend and its class, then the density from line transects (distance sampling), and a figure for the report.
Before you start
- Install Nuée: version 1.0.0 or later.
- The tutorials' data are simulated: they were made for the exercise by an R script, with a fixed seed; the script is next to each table. No result is to be cited as an observation.
- The screenshots come from Nuée 1.0.0 in English (the French pages show the interface in French). They were taken in Nuée's browser version: the desktop application's window is the same, but for a few buttons (Download there becomes Choose where…).
- The interface is in English and French (View › Language).
The data
| Tutorial | Table | Script that made it |
|---|---|---|
| BACI | baci_trout.csv | baci.R |
| PLS | soils_spectra.csv, soils_new.csv | spectres.R |
| Monitoring | skylark_counts.csv, skylark_transects.csv | suivi.R |
The same tables exist with French column names (see the French tutorials).
Rscript baci.R (and the two others) writes them again, identical, with R 3.6 or later.