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14 lines
601 B
Text
14 lines
601 B
Text
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mlr filter '($x<.5 && $y<.5) || ($x>.5 && $y>.5)' data/medium > data/medium-squares
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mlr --ofs newline stats2 -a linreg-pca -f x,y data/medium-squares
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x_y_pca_m=1.014419
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x_y_pca_b=0.000308
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x_y_pca_quality=0.861354
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# Set x_y_pca_m and x_y_pca_b as shell variables
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eval $(mlr --ofs newline stats2 -a linreg-pca -f x,y data/medium-squares)
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# In addition to x and y, make a new yfit which is the line fit. Plot using your favorite tool.
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mlr --onidx put '$yfit='$x_y_pca_m'*$x+'$x_y_pca_b then cut -x -f a,b,i data/medium-squares \
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| pgr -p -title 'linreg-pca example' -xmin 0 -xmax 1 -ymin 0 -ymax 1
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