A Williams design is a special Latin square with the additional property of first order carry over (each product is followed equally often by each other product). In R the package crossdes can be used to create them. __ williams(4)    &nbsp...

In this post I try to make a small simulation of the sensory (flavour) profiling data, and examine if the parameters of simulated data can be retrieved by the Bayesian model build in the previous posts.The conclusion is that it is difficult, the amount...

In this post I will try to add an important parts in the sensory profiling model I have been building. This concerns the question: 'Are all panelists equally reproducible?'. Obviously the answer is no, some are better than others. From this observation...

In this post I extend the multiplicative Bayesian sensory profiling model with effects for rounds and sessions. Is is not a difficult extension, but it brings the need for informative priors into the model. I do believe round and session effects exist,...

In a previous post I used JAGS to build the Bayesian equivalent of a two-way ANOVA. Effects were determined of products, panelists and their interaction. In this post this model will be rebuild to provide a more simplified and advanced model. The inter...

In this post it is examined if it is possible to use Bayesian methods and specifically JAGS to analyze sensory profiling data. The aim is not to obtain different results, but rather to confirm that the results are fairly similar. The data used is the c...

This post describes some of the simulation results which I obtained with the GAMBoost package. The aim of these simulations is to get a feel what I should tune and what I should not tune with GAMBoost. SetupIn the GAMBoost package one can tune qui...

In this post I will examine if the individual models from previous posts together would make a good predictive model. Obviously, predictive capability is different from descriptive capability, predictions usually have a more simple model. As there was ...

This post describes the last puzzle piece of the model. The link of instrumental to sensory data. Together with the previous pieces this leads to a model starting from physico-chemical measurements, to sensory data, to consumers' perception and finally...

Previously it was seen that apple liking was related to consumers scores for juiciness and sweetness. It would be most nice if these scores can be linked to sensory scores. Thus a three block model would result:A block with sensory data describing how ...

In a previous blog it was shown using literature data that liking of apples was related to juiciness. However, there were some questionsIs the relation linear or slightly curved? The variation in liking around CJuiciness is large. Are more explana...

I browsed through a paper by Peneau et al. (J. Sensory Studies, 2007) where they have nice data on apples; consumer evaluation, sensory evaluation and instrumental measurements. I think these are interesting data to examine if these variable blocks can...

I explained earlier how R-index is used in sensory is used to examine ranking data. The legitimization to use R-index is in the link with d' and with Mann-Whitney statistic. In this post I show there is a dependence on the number of products and p...

Just a few words about the Russian election. I read this entry http://www.badscience.net/2012/03/is-there-statistical-evidence-of-fraud-in-the-russian-election-data/ and thought to look for myself. For me it seems the data is not good enough ...

Having introduced the R-index, it is time to look how it works. For this a simple example is sufficient. What happens if a product is different from another product. To make this at least slightly realistic, three products are needed. Two products will...

R index is developed in interpreting signal detection data for human perception. In sensory research it is used to interpret ranking data. The value one gets out of an R-index calculation is interpreted as a confusion between samples tested. It has bee...