Man pages for dprocter/modeid
modeid: Identification of travel modes from GPS and accelerometry data
| confusion.matrix | Confusion matrix |
| cross.validator | Model cross-validation |
| data.loss.gps | Data loss due to GPS cleaning |
| distance.moved | Distance moved |
| fitted.busmod | The fitted model from Procter et al 2018 including buses |
| fitted.fullmod | The full fitted model from Procter et al 2018 |
| foldpred | Predict modal travel mode from cross-validated model |
| gps.acc.merge | Merging GPS and accelerometer files |
| gps.cleaner | Cleaning of GPS data |
| model.acc | Model accuracy |
| near.train | Distance from all points to the nearest train line |
| nwmod | The fitted model to predict nonwear |
| nw.predict | non-wear predictor |
| output.summary | Create summaries of processed files |
| overall.acc | Overall accuracy of crossvalidated model |
| pred.data | selection of veriables neccessary for prediction |
| process.acc | Processing of accelerometer data files |
| process.folder | Process a folder containing accelerometer and GPS data |
| rollav.calc | Calculate rolling averages from a dataset |
| train.data | Training data from Procter et al (2018) |
| ug.journeys | Underground journey identifier |
