Articles by R on The broken bridge between biologists and statisticians

Fitting ‘complex’ mixed models with ‘nlme’: Example #4

September 12, 2019 | R on The broken bridge between biologists and statisticians

Testing for interactions in nonlinear regression Factorial experiments are very common in agriculture and they are usually laid down to test for the significance of interactions between experimental factors. For example, genotype assessments may be performed at two different nitrogen fertilisation levels (e.g. high and low) to understand whether ...
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Fitting ‘complex’ mixed models with ‘nlme’: Example #2

September 12, 2019 | R on The broken bridge between biologists and statisticians

A repeated split-plot experiment with heteroscedastic errors Let’s imagine a field experiment, where different genotypes of khorasan wheat are to be compared under different nitrogen (N) fertilisation systems. Genotypes require bigger plots, with respect to fertilisation treatments and, therefore, the most convenient choice would be to lay-out the experiment ... [Read more...]

Germination data and time-to-event methods: comparing germination curves

July 19, 2019 | R on The broken bridge between biologists and statisticians

Very often, seed scientists need to compare the germination behaviour of different seed populations, e.g., different plant species, or one single plant species submitted to different temperatures, light conditions, priming treatments and so on. How should such a comparison be performed? Let’s take a practical approach and start ...
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