Description Usage Arguments Value
Calculate the p-value for a tree (grouping).
1 2 3 | sid_p_tree_es(data_train, data_test, tree, g0 = NULL, classifier = svm,
Rmin = 250, Rmax = 500, parallel = TRUE, return_raw = FALSE,
alpha = 0.05, z = 2.57)
|
data_train |
Training data. |
data_test |
Testing data. |
tree |
The tree |
g0 |
The Baseline goodness, if known. Can be |
classifier |
A classifier function, default is svm (from the e1071 package). |
Rmin |
Ninimum number of replications. Default is 250. |
Rmax |
Maximum number of replications. Default is 500. |
parallel |
Calculate in parallel (Boolean, default is |
return_raw |
Return raw data used in the p-value calculation (Boolean, default is |
alpha |
The confidence level at which we are evaluating statistical significance of the tree. |
z |
Parameter for confidence band. Use 1.96 for 95 percent, 2.25 for 97.5 percent and 2.57 for 99 percent. Default is 2.57. |
The p-value for the tree
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