Abstract
This chapter introduces data frames, random sampling, and correlation. Readers learn how to perform permutation tests to assess the significance of derived correlations.
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Another way to test the significance of a correlation coefficient is to use the cor.test function. Use ?cor.test to learn about this function and then run it using the method = "pearson" argument. To make more sense out of the results, consider consulting http://en.wikipedia.org/wiki/P-value on t-tests.
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L. Jockers, M., Thalken, R. (2020). Correlation. In: Text Analysis with R. Quantitative Methods in the Humanities and Social Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-39643-5_6
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DOI: https://doi.org/10.1007/978-3-030-39643-5_6
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-030-39643-5
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