Tag Archives: ols()

Mixed-effects modeling — four hour workshop — part III: Regression modeling

Posted on November 5, 2013 by robayedavies

We completed a study on the factors that influence visual word recognition performance in lexical decision. We then put together a dataset for analysis here. We examined the distribution of inter-relation of critical variables in that dataset, acting to transform … Continue reading →

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Modelling – ordinary least squares regression

Posted on May 8, 2013 by robayedavies

Let’s work on our understanding of regression while we work through some examples. We have two datasets to work with, one on the attributes of the participants of a lexical decision study (their age, reading skill etc.), and one on … Continue reading →

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Modelling – ordinary least squares regression in R

Posted on May 8, 2013 by robayedavies

We will be looking at how you can do regression in R. More than one function call will do this, lm() and ols() in R. Don’t ask me why, I might find out another time. Ordinary least squares regression: — … Continue reading →

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