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

By R. H. Baayen

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

summary: an easy creation to the statistical research of language info, designed for college students with a non-mathematical heritage

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As indicated by these shaded areas, written frequency increases as we move from the lower left to the lower right, and then from the upper left to the upper right. The six frequency bands are chosen such that there is an equal count of observations in each frequency band. 11 42 graphical data exploration shows is that the correlation between the Family Size measure and the Number of Complex Synsets is present predominantly for the higher-frequency words. This may be due to a lexicographic bias favoring inclusion of compounds with internal spaces in dictionaries (and hence in WordNet) only if they are sufficiently frequent.

Such multipanel plots require changing the defaults for plotting. Normally, R will reserve the full graphics window for a single graph. However, we can divide the graphics plot window into a matrix of smaller plots by changing this default using a function that actually handles a wide range of graphical parameters, par(). The graphical parameter that we need to set here is mfrow, which should be a twoelement vector specifying the number of rows and the number of columns for the matrix of plots: > par(mfrow = c(3, 2)) # plots arranged in 3 rows and 2 columns From this point onwards, any plot will be added to a grid of three rows and two columns, starting with the upper left panel, and filling a given row before starting on the next.

6, each rectangle is approximately equally large. The many asymmetries in the left panel show, for instance, that in the actual data set given recipients are more likely to be realized as np than new or accessible recipients, both for animate and inanimate recipients, irrespective of the overall preponderance of given recipients. The relation between two numerical variables with many different values is often brought to light by means of a scatterplot. 7 displays two versions of the same scatterplot for variables in the ratings data set.

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