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Recent Posts
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Tag Archives: merge
Mixed-effects modeling — four hour workshop — part I: Data handling
This post will be one of four in which we go through how to model a multilevel dataset using linear mixed-effects modeling. To begin, we need to collate the data we have gathered in a simple reading experiment but one … Continue reading
Posted in 2.1 LME workshop I/IV, Uncategorized
Tagged csv, data handling, merge, plyr
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Modelling – look ahead to mixed-effects modelling
So far, we have been looking at the participant attributes or the item attributes for our lexical decision study. It is time to move on to consider a mixed-effects analysis examining whether or how lexical decision responses were influenced by: … Continue reading
Posted in 16. Modelling - mixed-effects
Tagged ddply(), length(), levels(), merge, summary
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Modelling – examination correlations: combining dataframes
This post will build on the previous Modelling posts. We are continuing to focus on the item norms data, previously discussed here and here (where I talked about were the data are from), here and here (where I talked about examining the … Continue reading
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