DataLab is a compact statistics package aiming at exploratory data analysis. Please visit the DataLab Web site for more information....

PCA Loading/Loading Plot

The tab Loading/Loading shows the loadings of two principal components plotted against each other. The loadings of the variables are indicated by the index of the variables (which are equal to the column indices of the data table).

Hint: Sometimes, especially if many variables are involved, some loadings may be located close to each other decreasing the readability of the loading index. In this case you should either zoom in or simply move the mouse cursor over the interesting loading point. The variable name along with the coordinates of the selected point are displayed in the info box at the bottom of the PCA window.

Left to the loading plot there are several controls for changing the display options. In addition to selection boxes for choosing the principal components to be displayed there are two buttons which provide the following functionality:

show all data Clicking this button sets the zoom factor to the standard value so that all available data points are shown in the diagram.
mouse action Depending on the state of this button (indicated by its icon) the mouse can be used for zooming, panning, or marking the data. Clicking the button toggles its function:
    Window: any rectangular region of the chart can magnified to fit the full area of the chart by simply pressing and holding down the left mouse button at one corner of the region. Moving the mouse now shows a rubber band rectangle. The area of the rectangle is blown up to the full chart area when the left mouse button is released.

Drag: the scale of the chart can be increased or reduced by pressing and holding the left mouse button. The scaling factors of the x and y axes are changed in proportion to the movement of the mouse (up and right = magnify, left and down = reduce).

Pan: the visible part of the chart can be shifted by pressing and holding down the left mouse button. The chart follows the mouse movement which results in panning the visible window across the data.