ppc.cv {ppc} | R Documentation |
Cross-validation for PPC analysis
Description
This function does K-fold cross-validation for PPC analysis
Usage
ppc.cv(ppc.fit, data, user.parms)
Arguments
ppc.fit |
Result of call to ppc.predict |
data |
List containing mass spec data |
user.parms |
List of user defiend parameters |
Value
err |
CV error rate for each threshold value |
se |
se of CV error rate |
confusion |
Cnfusion matrix for each threshold value |
threshold |
Threshold vlaues used |
yhat |
Predicted values from CV |
prob |
Cv probabilities |
y |
Training set outcome values |
folds |
Indices defining CV folds |
numsites |
Number of m/z sites surviving shrinkage at each threshold value |
Author(s)
Balasubramanian Narasimhan and Rob Tibshirani
Examples
## for a complete worked example of this function in a PPC analysis see
## http://www-stat.stanford.edu/~tibs/PPC/Rdist/Rscript.rawdata
[Package
ppc version 1.01
Index]