Man pages for GROAN
Genomic Regression Workbench
| addRegressor | Add an extra regressor to a Workbench |
| are.compatible | Check two GROAN.NoisyDataSet for dimension compatibility |
| artificialGenotypes | Create a set of artificial genotypes |
| artificialPhenotypes | Create a set of artificial phenotypes |
| createNoisyDataset | Noisy Data Set Constructor |
| createRunId | Generate a random run id |
| createWorkbench | Workbench constructor |
| dummy.function | Dummy function for import management |
| getExtraCovariatesNames | String of extra covariates names |
| getNoisyPhenotype | Generate an instance of noisy phenotypes |
| GROAN.AI | Example data for pea AI lines |
| GROAN.KI | Example data for pea KI lines |
| GROAN.pea.kinship | [DEPRECATED] |
| GROAN.pea.SNPs | [DEPRECATED] |
| GROAN.pea.yield | [DEPRECATED] |
| GROAN.run | Compare Genomic Regressors on a Noisy Dataset |
| is.boolean | Is a boolean? |
| is.in.range | Is in the passed numeric range |
| is.naturalnumber | Is a positive integer? |
| is.single.slot | Is a single slot thing? |
| is.string | Is a string? |
| measurePredictionPerformance | Measure Performance of a Prediction |
| ndcg | Function to calculate mean Normalized Discounted Cumulative... |
| noiseInjector.dummy | Noise Injector dummy function |
| noiseInjector.norm | Inject Normal Noise |
| noiseInjector.swapper | Swap phenotypes between samples |
| noiseInjector.unif | Inject Uniform Noise |
| phenoRegressor.BGLR | Regression using BGLR package |
| phenoregressor.BGLR.multikinships | Multi-matrix GBLUP using BGLR |
| phenoRegressor.dummy | Regression dummy function |
| phenoRegressor.RFR | Random Forest Regression using package randomForest |
| phenoRegressor.rrBLUP | SNP-BLUP or G-BLUP using rrBLUP package |
| phenoRegressor.rrBLUP.G | G-BLUP using rrBLUP library |
| phenoRegressor.rrBLUP.SNP | SNP-BLUP using rrBLUP library |
| phenoRegressor.SVR | Support Vector Regression using package e1071 |
| plotResult | Plot results of a run |
| print.GROAN.NoisyDataset | Print a GROAN Noisy Dataset object |
| print.GROAN.Workbench | Print a GROAN Workbench object |
| stratified_crossvalidation_folds | Assignments for stratified crossvalidation |
| summary.GROAN.NoisyDataset | Summary for GROAN Noisy Dataset object |
| summary.GROAN.Result | Summary of GROAN.Result |
