Publications by R on The broken bridge between biologists and statisticians
Building ANOVA-models for long-term experiments in agriculture
This is the follow-up of a manuscript that we (some colleagues and I) have published in 2016 in the European Journal of Agronomy (Onofri et al., 2016). I thought that it might be a good idea to rework some concepts to make them less formal, simpler to follow and more closely related to the implementation with R. Please, be patient: this lesson ma...
31009 sym R (7782 sym/16 pcs) 8 img
Building ANOVA-models for long-term experiments in agriculture
This is the follow-up of a manuscript that we (some colleagues and I) have published in 2016 in the European Journal of Agronomy (Onofri et al., 2016). I thought that it might be a good idea to rework some concepts to make them less formal, simpler to follow and more closely related to the implementation with R. Please, be patient: this lesson ma...
31009 sym R (7782 sym/16 pcs) 8 img
QQ-plots and Box-Whisker plots: where do they come from?
For the most curious students QQ-plots and Box-Whisker plots usually become part of the statistical toolbox for the students attending my course of ‘Experimental methods in agriculture’. Most of them learn that the QQ-plot can be used to check for the basic assumption of gaussian residuals in linear models and that the Box-Whisker plot can be...
7618 sym R (1184 sym/11 pcs) 4 img
QQ-plots and Box-Whisker plots: where do they come from?
For the most curious students QQ-plots and Box-Whisker plots usually become part of the statistical toolbox for the students attending my course of ‘Experimental methods in agriculture’. Most of them learn that the QQ-plot can be used to check for the basic assumption of gaussian residuals in linear models and that the Box-Whisker plot can be...
7618 sym R (1184 sym/11 pcs) 4 img
lmDiallel: a new R package to fit diallel models. Introduction
Together with some colleagues from the plant breeding group, we have just published a new paper, where we presented a bunch of R functions to analyse the data from diallel experiments. The paper is titled ‘Linear models for diallel crosses: a review with R functions’ and it is published in the ‘Theoretical and Applied Genetics’ Journal. I...
8357 sym R (360 sym/6 pcs)
lmDiallel: a new R package to fit diallel models. Introduction
Together with some colleagues from the plant breeding group, we have just published a new paper, where we presented a bunch of R functions to analyse the data from diallel experiments. The paper is titled ‘Linear models for diallel crosses: a review with R functions’ and it is published in the ‘Theoretical and Applied Genetics’ Journal. I...
8357 sym R (360 sym/6 pcs)
lmDiallel: a new R package to fit diallel models. The Hayman’s model (type 1)
In a previous post we have presented our new ‘lmDiallel’ package (see this link here and see also the original paper in Theoretical and Applied Genetics). This package provides an extensions to fit a class of linear models of interest for plant breeders or geneticists, the so-called diallel models. In this post and other future posts we would...
11661 sym R (11240 sym/9 pcs)
lmDiallel: a new R package to fit diallel models. The Hayman’s model (type 1)
In a previous post we have presented our new ‘lmDiallel’ package (see this link here and see also the original paper in Theoretical and Applied Genetics). It provides several extensions to the lm() function in R, to fit a class of linear models of interest for plant breeders or geneticists, the so-called diallel models. For those who are inte...
12078 sym R (10680 sym/9 pcs)
Accounting for the experimental design in linear/nonlinear regression analyses
In this post, I am going to talk about an issue that is often overlooked by agronomists and biologists. The point is that field experiments are very often laid down in blocks, using split-plot designs, strip-plot designs or other types of designs with grouping factors (blocks, main-plots, sub-plots). We know that these grouping factors should be ...
7579 sym R (8125 sym/11 pcs) 4 img
Accounting for the experimental design in linear/nonlinear regression analyses
In this post, I am going to talk about an issue that is often overlooked by agronomists and biologists. The point is that field experiments are very often laid down in blocks, using split-plot designs, strip-plot designs or other types of designs with grouping factors (blocks, main-plots, sub-plots). We know that these grouping factors should be ...
7579 sym R (8125 sym/11 pcs) 4 img