Multiple Regression
回归分析（一元或多元）
直接从excel或记事本拷贝各列数居（因变量y放最右边，自变量x放左边）到左边的数据框，
然后删除最后一个回车键，让光标紧跟着第2列的最后一个数据，
否则这种直接拷贝会添加(0,0)这个数据。
然后直接按计算按钮即可

Linear Correlation and Regression
直接从excel或记事本拷贝2列数居到左边的数据框，
然后删除最后一个回车键，让光标紧跟着第2列的最后一个数据，
否则这种直接拷贝会添加(0,0)这个数据。然后直接按计算按钮即可

Contingency table
A contingency table is input to this routine. Rows represent the different states of one nominal variable, columns represent the states of another nominal variable, and cells contain the counts of occurrences of that specific state (row, column) of the two variables. A measure and probability of association of the two variables (based on Chi-square) is then given.
For example, rows may represent taxa and columns samples as usual (with specimen counts in the cells). The contingency table analysis then gives information on whether the two variables of taxon and locality are associated. If not, the data matrix is not very informative. For details, see Press et al. (1992).
Reference
Press, W.H., S.A. Teukolsky, W.T. Vetterling & B.P. Flannery. 1992. Numerical Recipes in C. Cambridge University Press.

The Correlation coefficient

Example:
R = 0.7096, p <= 0.03635 (t = 2.665, DF = 7)
y = 0.7919 * x + 132.4