{"ref":"refs/heads/master","commits":[{"author":{"email":"d2052d0390969542e281546f0a1cf87717ed6744@iki.fi","name":"Laura Leppänen"},"sha":"8db109a95f7a62b0ba58d26a4e62342fe2d3c6d3","message":"Change the PCA function and move normalization.\n\nThe PCA function (pca in infocapacity.R) now takes both data\nmatrices, multiplies them with the chosen eigenvectors\n(calculated from the first data matrix) and returns them\nin a list.\n\nNormalization was moved inside the pca function because\nit is the most sensible place for it (and PCA is the only\nthing that normalization does affect). If desired,\nnormalization could still be performed before passing\nthe data to the pca function (for e.g. plotting purposes)\nand it should have no effect on results. However, the placement\nshould be right before passing the data to PCA (after\nperforming duplicate removal and other usual changes\nto the data) to avoid unwanted side effects.","url":"https://api.github.com/repos/Lateks/Information-Capacity-of-the-Human-Motor-System/commits/8db109a95f7a62b0ba58d26a4e62342fe2d3c6d3"}],"head":"8db109a95f7a62b0ba58d26a4e62342fe2d3c6d3","push_id":53116329,"size":1}