from data to Viz is a new web site related to data analysis and R. Its aim is to make it easier to choose among different types of data visualisations. It looks beautiful, is easy to navigate, includes “trees” displaying a classification of visualizations and multiple individual examples with the corresponding R code. Highly recommended!
Yesterday I found a copy of one of the first manuscripts I ever submitted. It was never published, so it is time for it to be made available. Ideas discussed are nowadays common place. The manuscript, I think, is still mostly valid almost 30 years after I wrote it… I should have tried harder to get it published then.
A small set observations with a few extreme observations plus subjective splitting of a data set into two subsets to be fitted separately to a linear regression model resulted in very clear cut conclusions and striking figures. However, none of this is solid evidence, or evidence at all supporting the paper’s conclusions. This series of articles, not only discusses the problems in the paper, but more importantly, it traces the review process that allowed it to be published in Nature.
A new analysis of the data appears in an article at “Ask a Swiss” but still based on model fitting. They detect a significant change in slope, but still we do not have confidence bands available.
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