Data Splitting Algorithms for Model Developments
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Documentation for package ‘DSAM’ version 1.0.2
Help Pages
| checkFull | Check whether the sample set is full |
| dataSplit | Main function of data splitting algorithm |
| DP.initialSample | Initial sampling of DUPLEX |
| DP.reSample | Repeat sampling of DUPLEX |
| DSAM_test_largeData | large test dataset |
| DSAM_test_modData | Moderate test dataset |
| DSAM_test_smallData | Small test dataset |
| DUPLEX | 'DSAM' - DUPLEX algorithm |
| getAUC | Get the AUC value between two datasets |
| getMax | Get the maximum of the output column from the original data set |
| getMean | Get the mean and standard deviation of the output column from the original data set |
| getMin | Get the minimum of the output column from the original data set |
| getSnen | Get sampling number of each SOM neuron |
| MDUPLEX | 'DSAM' - MDUPLEX algorithm |
| par.default | Default parameter list |
| remainUnsample | Get the remain unsampled data after 'SSsample' |
| SBSS.P | 'DSAM' - SBSS.P algorithm |
| selectData | Select specific split data |
| somCluster | Self-organized map clustering |
| SOMPLEX | 'DSAM' - SOMPLEX algorithm |
| SS | 'DSAM' - SS algorithm |
| SSsample | Core function of SS sampling |
| standardise | Standardized data |
| TIMECON | 'DSAM' - Time-consecutive algorithm |