By R. H. Baayen

ISBN-10: 0511386303

ISBN-13: 9780511386305

ISBN-10: 0521709180

ISBN-13: 9780521709187

ISBN-10: 0521882591

ISBN-13: 9780521882590

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

Show description

Read Online or Download Analyzing Linguistic Data : a Practical Introduction to Statistics using R PDF

Similar research & publishing guides books

The Danube: A Journey Upriver from the Black Sea to the by Nick Thorpe PDF

The terrific Danube either cuts throughout and connects relevant Europe, flowing via and along ten nations: Romania, Ukraine, Moldova, Bulgaria, Serbia, Croatia, Hungary, Slovakia, Austria, and Germany. traveling its complete size from east to west, opposed to the river’s movement, Nick Thorpe embarks on an inspiring year-long trip that ends up in a brand new viewpoint on Europe this present day.

The Marshall Plan for Novel Writing - download pdf or read online

Think writing with the ability of a broadcast writer, the information of a professional editor and the savvy of a brand new York literary agent. .. .you'd have all of the information it takes to rework your tale suggestion right into a novel important of compliment and book. during this precise advisor, agent, editor and novelist Evan Marshall does provide you with every little thing it takes to put in writing your novel.

Download e-book for iPad: Super Structures by Samone Bos

From Diocletian’s Palace to the Empire country development, get a close-up examine constructions outdated, new, and for the long run. Eye-popping images, large fold-out pages, blueprints, evidence, fi gures, and data demonstrate the secrets and techniques in the back of each one of those impressive buildings.

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

Example text

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).

Download PDF sample

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


by Charles
4.2

Rated 4.70 of 5 – based on 15 votes