By R. H. Baayen
An easy advent to the statistical research of language facts, designed for college students with a non-mathematical background.
summary: a simple advent to the statistical research of language facts, designed for college kids with a non-mathematical history
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Extra info for Analyzing Linguistic Data : a Practical Introduction to Statistics using R
Counting words We can count the frequencies with which words occur in a given corpus or text. Word frequency is a random variable with, as possible values, 1, 2, 3, . . , N , with N the size of the corpus. familiarity rating Participants are asked to indicate on a seven-point scale how frequently they think words are used. The ratings elicited for a given word will vary from participant to participant, and constitute a random variable. lexical decision Participants are asked to indicate, by means of button presses, whether a word presented visually or auditorily is an existing word of the language.
We now have all the information we need for determining the smallest and largest values that should be displayed on the X and Y axes. 2 Visualizing single random variables For the vertical axis, we include 0 when calculating the range in order to make sure that the origin will be included as the lowest value. 1)) With the option col we set the color of the bars to light grey, and with border we set the color of the borders of the bars to dark grey. We also prevent hist() from adding a title to the graph with main = "" .
RData file, however, can only be viewed and manipulated within R. rs) > objects()  "heid" "heid2" "heid3" "verbs" It is recommended that you allocate a different workspace to each project you are working on. This avoids your workspace becoming cluttered with objects that have nothing to do with your current project. It also helps to avoid your workspace becoming unmanageably large. The proper way to exit from R from the console is to make use of the q() function, which then inquires whether the workspace should be saved.
Analyzing Linguistic Data : a Practical Introduction to Statistics using R by R. H. Baayen