Analyzing Linguistic Data : a Practical Introduction to by R. H. Baayen

By R. H. Baayen

An easy advent to the statistical research of language facts, designed for college kids with a non-mathematical background.

summary: a simple advent to the statistical research of language facts, designed for college students with a non-mathematical history

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Extra resources for Analyzing Linguistic Data : a Practical Introduction to Statistics using R

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What is already clear at this point is that there is a pattern in the data that is worth examining in greater detail. There are many other kinds of trellis graphs, examples of which can be found in the on-line help for xyplot(). Here, we restrict ourselves to two important and easy ways to use trellis functions. It is often useful to explore data with scatterplots for each of the levels of a grouping factor. To make this more concrete, we consider the subjective estimates of weight elicited for the 81 words in the ratings data set that we examined previously.

Xtabs , RealizationOfRecipient = NP AccessOfRec AnimacyOfRec accessible given animate 290 1931 inanimate 11 99 new 78 5 , , RealizationOfRecipient = PP AccessOfRec AnimacyOfRec accessible given animate 259 239 inanimate 55 33 new 227 36 Such a contingency table might be visualized with a bar plot, but twelve bars or smaller numbers of stacked bars quickly become rather complex to interpret. xtabs, main = "dative") The areas of the twelve rectangles in the plot are proportional to the counts for the twelve cells of the contingency table.

Data were elicited for adults and children of various ages. The question of interest is to what extent the use of the ergative case marker is predictable from the animacy of the subject, word order, and the age of the speaker (adult versus child). Explore this data set with respect to this issue by means of a mosaic plot. ) 2. In Chapter 1 we created a data frame with mean reaction times and mean base frequencies for neologisms in the Dutch suffix -heid. Reconstruct the data frame heid2. Both reaction times and frequencies are logarithmically transformed.

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