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Plain Text - 4.0 KB - MD5: 1a64ec838fbb219910c85e75820c9a64
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description of the xml format of the extracted data
Plain Text - 6.0 KB - MD5: f68ea4b2c9402717e99c1bbfcbcefa47
Plain Text - 326.1 KB - MD5: c92d2f6fd2ebd96fab97c63e5f7464df
Csv for statistical analysis
Plain Text - 14.6 KB - MD5: 926bdb4a437afbb8b68e1ad69c01f8e7
R script used for the analysis
Plain Text - 22.8 KB - MD5: 4a1bb6a85ed1769a6c7085102e55fcd9
Results of a diachronic study of a Russian internet slang
Plain Text - 39.0 KB - MD5: 38fbf5130df26e48f64d153591f8a069
Results of a language evolution experiment
Plain Text - 61.5 KB - MD5: 33258e908be021fcb1ccb4f38cee475b
The database for statistical analysis
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R script used for the analysis: Principle Components
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This R script will give you the chi-squared value, the degrees of freedom, the p-value, and the effect size for Table 1 in Chapter 3. You can open and read the commentary in the R script to see how it is done.
Plain Text - 3.2 KB - MD5: 460e10aa9d60a3b0fa52e4c9e4a76264
We used a simple formula involving the row and column totals in order to calculate the expected values for all the cells in Table 1. Here it is: expected value = (row sum x column sum) / total sum. The total sum for Table 1 is 382, and all of the row and column totals are listed in Table 1 in Chapter 3. This R script will compute and print out for...
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