The HotellingEllipse package helps draw the Hotelling's T-squared ellipse on a PCA or PLS score scatterplot by computing the Hotelling's T-squared statistic and providing the ellipse's coordinates, ...
Besides, PCA is also a sophisticated statistical method used to identify patterns in data. Its purpose is to express data in a way that highlights both its similarities and its differences. In simple ...
Prostate cancer (PCa) is the most commonly diagnosed cancer and the second most common cause of cancer-related deaths in men in the US. The majority of PCa cases arise in the luminal cells of the ...
PCA is based on some assumptions that may not always hold true for your data. For example, PCA assumes that your data is linear, meaning that the variables have a straight-line relationship with ...
The HotellingEllipse package helps draw the Hotelling's T-squared ellipse on a PCA or PLS score scatterplot by computing the Hotelling's T-squared statistic and providing the ellipse's coordinates, ...