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Mastering Text Mining with R by 2016

Mastering Text Mining with R by 2016

Author:2016
Language: eng
Format: epub, mobi
Publisher: Packt Publishing


Pearson's Chi-squared test

#Chi-square test print(chisq.test(data)) X-squared = 14589.07, df = 121, p-value < 2.2e-16 #Total Inertia print(sum(cadataframe$scree[,2])) [1] 2.499841 # Square root of the Total Inertia print(sqr.trace) [1] 1.581 # Correspondence Analysis summary print(cadataframe) Principal inertias (eigenvalues): dim value % cum% scree plot 1 0.689905 27.6 27.6 ************************* 2 0.639174 25.6 53.2 *********************** 3 0.342155 13.7 66.9 ************ 4 0.280273 11.2 78.1 ********** 5 0.196284 7.9 85.9 ******* 6 0.154954 6.2 92.1 ****** 7 0.142684 5.7 97.8 ***** 8 0.048760 2.0 99.8 ** 9 0.005384 0.2 100.0 10 0.000232 0.0 100.0 11 3.5e-050 0.0 100.0 -------- ----- Total: 2.499841 100.0



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