By R. H. Baayen
A simple creation to the statistical research of language info, designed for college kids with a non-mathematical background.
summary: an easy advent to the statistical research of language facts, designed for college students with a non-mathematical heritage
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Extra resources for Analyzing Linguistic Data : a Practical Introduction to Statistics using R
7 displays two versions of the same scatterplot for variables in the ratings data set. The upper panel was produced in two steps. The first step consisted of plotting the data points: > plot(ratings$Frequency, ratings$FamilySize) All we have to do is specify the vectors of X and Y values as arguments to plot(). By default, the names of the two input vectors are used as labels for the axes. You can see that words with a very high frequency tend to have a very high family size. In other words, the two variables are positively correlated.
We do this with the function mtext(), which adds text to a given margin of a plot. A plot margin is the white space between the edge of the graphics window and the plot itself. The margins are labeled 1 (bottom), 2 (left), 3 (top), and 4 (right). In other words, the first margin is the space between the X axis and the lower edge of the plotting region. 7) The option at = 1:5 tells mtext() where to place the five elements of the text vector. e. without explicitly telling R about the X and Y coordinates.
A conditioning plot is useful here. Crucially, we do not condition on WrittenFrequency as such—this would result in one panel for each distinct frequency. count(WrittenFrequency), data = english) Workbook section Exercises 1. The data set warlpiri (data courtesy Carmel O’Shannessy) provides information about the use of the ergative case in Lajamanu Warlpiri. 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).
Analyzing Linguistic Data : a Practical Introduction to Statistics using R by R. H. Baayen