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schafer
2011 Jan 14
0
Fwd: helps in data analysis
....
Due to the corlinearity among predictors, I conducted principal component
analysis and obtained first 4 principal components accounting over 85 %
total variation. Using coefficient of 4 principal components, new 4
predictors were obtained as follows (i.e., PC1 ~ PC4);
> head(df.chf09)
chafer year longitude latitude paddock2 PC1 PC2
PC3 PC4
12152 0 2009 -87.85045 33.90220 11 1.1790748 -2.895178 -1.522787
-2.33674507
12153 0 2009 -87.85045 33.90214 11 0.7852655 -3.758568 -1.691573
-2.16018891
12154 0 2009 -87.85046 33.90206 11 0.502591...