Compute Correlation Matrices
Description
This tool computes correlation matrices on a suite of variables. Pearson, Spearman, and Kendall correlation matrices are computed. Spearman and Kendall correlations are nonparametric alternatives to the Pearson. Spearman represents the Pearson method applied to ranks of the data, whereas Kendall represents the difference between the probability the observed data are in the same order and the probability the observed data are not in the same order (Wilks 2006). The results are output under "Output Correlations" and to the output file specified by the user.
Input
File
Select the input data to analyze by clicking on "Browse" and navigating to the proper file.
Input Data Format
Year / Data
Each "/" is a tab (i.e., data should be tab-delimited). Missing Data should be denoted as "-99".
Start Row
This input is the row number where the main data to be processed begin in the input file selected above. An example of how row numbers are entered is shown in Figure 2 located in the Running Dendro Tools topic.
Number of Variables
Enter the number of variables located in the input file.
Start Year
Enter the year to start the computation.
End Year
Enter the year to end the computation.
Output
File
Select or enter the name of the file where the results will be stored.
Header
Information entered here will be output in the first line of the output file.