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By R. H. Baayen

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

summary: an easy advent to the statistical research of language info, designed for college kids with a non-mathematical historical past

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

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This way of plotting the data reveals the range of values, as well as the presence of outliers. Outliers are data points with values that are surprisingly large or small given all data points considered jointly. There are a few outliers representing very short reaction times, and many more outliers representing very long reaction times. 2. 3. Ordered values, quartiles, and deciles for logarithmically transformed reaction times in a visual lexical decision experiment. 3 was produced simply with: > plot(sort(lexdec$RT), ylab = "log RT") When plot() is supplied with only one vector of data, it assumes that this vector represents Y -values and generates a vector of X -values numbered from 1 to the number of elements in the input vector.

6. A mosaic plot for observed counts of clauses cross-classified by the animacy of the recipient, the accessibility of the recipient, and the realization of the recipient (left panel), and for random counts (right). The second step consisted of adding the grey line to highlight the main trend: > lines(lowess(ratings$Frequency, ratings$FamilySize), col="darkgrey") This line shows that you have to proceed almost 2 log frequency units along the horizontal axis before you begin to see an increase in family size.

The first step consisted of setting up the axes, now with our own labels, specified with xlab and ylab. 8. A pairs plot for the five numerical variables in the ratings data frame. The second step consisted in adding the words to the plot with text(). Like plot(), it requires input vectors for the X and Y coordinates. Its third argument should be a vector with the strings that are to be placed in the plot. character() before handing it over to text(). 7) Thus far, we have considered scatterplots involving two variables only.

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