How correlated are the variables in the data?
Create a correlation matrix of the selected variables. Correlations and p.values are provided for each variable pair. To show only those correlations above a certain (absolute) level, use the correlation cutoff box.
A visual representation of the correlation matrix is provided in the Plot tab.
Stars shown in the Plot tab are interpreted as:
The font-size used in the plot is proportional to the size and significance of the correlation between two variables.
Select the method to use to calculate correlations. The most common method is
Pearson. See Wikipedia for details.
To show only correlations above a certain value choose a non-zero value in the numeric input between 0 and 1 (e.g., 0.15).
Although we generally prefer to see the correlation matrix, you can also see the covariance matrix by checking the
Show covariance matrix box.
For larger datasets it can useful to click
Pause estimation before selecting variables, entering filters, correlation cutoffs, etc. When you are ready to generate the correlation matrix or correlation plot make sure that
Pause estimation is not checked. When
Pause estimation is not checked, any changes to the inputs will automatically result in a new matrix and/or plot.