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principal_component_analysis [2019/11/15 22:46] – [e.g. saq] hkimscilprincipal_component_analysis [2019/11/16 15:06] (current) – [e.g. saq] hkimscil
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               stat_cry afraid_spss sd_excite nmare_pearson du_stat lexp_comp comp_hate good_math               stat_cry afraid_spss sd_excite nmare_pearson du_stat lexp_comp comp_hate good_math
 stat_cry         1.000      -0.099    -0.337         0.436   0.402     0.217     0.305     0.331 stat_cry         1.000      -0.099    -0.337         0.436   0.402     0.217     0.305     0.331
-afraid_spss     -0.099       1.000     0.318        -0.112  -0.119    -0.074    -0.159    -0.050+afraid_spss     -0.099       1.000     0.318        -0.112  -0.119    -0.074    -0.159    -0.050s
 sd_excite       -0.337       0.318     1.000        -0.380  -0.310    -0.227    -0.382    -0.259 sd_excite       -0.337       0.318     1.000        -0.380  -0.310    -0.227    -0.382    -0.259
 nmare_pearson    0.436      -0.112    -0.380         1.000   0.401     0.278     0.409     0.349 nmare_pearson    0.436      -0.112    -0.380         1.000   0.401     0.278     0.409     0.349
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 </code> </code>
  
 +<code>
 +install.packages("Hmisc")
 +library(Hmisc)
 +saq8.rcorr <- rcorr(as.matrix(saq8))
 + 
 +print(saq8.rcorr$r, digits = 3)
 +</code>
  
  
principal_component_analysis.txt · Last modified: 2019/11/16 15:06 by hkimscil

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