sigFeature: sigFeature is an R package which is able to find out the significant features using support vector machine recursive feature elimination method (SVM-RFE) (Guyon, I., et al. 2002) and t-statistic. Feature selection is an important part dealing with machine learning technology. SVM-RFE is recognized as one of the most effective filtering methods, which is based on a greedy algorithm that only finds the best possible combination for classification without considering the differentially significant features between the classes. To overcome this limitation of SVM-RFE, the proposed approach is tuned to find differentially significant features along with notable classification accuracy. This package is able to enumerate the feature selection of any two-dimensional (for binary classification) data such as a micro array etc. This vignette explains the use of the package in a publicly available micro array data set.
Error in h(simpleError(msg, call)) : error in evaluating the argument 'x' in selecting a method for function 'mean': argument "FUN" is missing, with no default
Hello,
I am using
sigFeaturepackage to apply SVM-RFE based feature selection method.When I exactly follow the exemplary code of the package, I faced an issue on sigCVError function.
>featsweepSigFe = lapply(1:400, sigCVError, FeatureBasedonFrequency, inputdata)Error in h(simpleError(msg, call)) : error in evaluating the argument 'x' in selecting a method for function 'mean': argument "FUN" is missing, with no defaultCan you help me to fix this issue, please?
Session info of mine;