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 |
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