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- PACS_entropy(ruck_slices_oriented, names)
- Get entropy from PACS locations
Using heatmaps and their shannon entropy
Args:
ruck_slices_oriented (list): DataFrames for each movement period
names (list): list of soldier names
Returns:
entropy_df (DataFrame): dataframe of entropy values, index corresponds to movement periods and columns are names
- VARX_model(ruck_slices_oriented, names, time_window=100, resid=False)
- a vector autoregressive model with moving average and exogenous variables
for each soldier in their PACS coord system
exog vars are other soldiers
Args:
ruck_slices_oriented (list): list of oriented dataset dfs
names (list): list of names
time_window (int, optional): rolling time window for predictions. Defaults to 100.
resid (bool, optional): using the resudials of the model as the error if True, otherwise predict a 'test'. Defaults to False.
Returns:
VARX_errs (list): list of dataframes for each movement period, showing the VARX error over time
- VAR_model(ruck_slices_oriented, names, time_window=100, resid=False)
- a vector autoregressive model for each soldier in their PACS coord system
Args:
ruck_slices_oriented (list): list of PACS oriented dataset dfs
names (list): list of names
time_window (int, optional): rolling time window for predictions. Defaults to 100.
resid (bool, optional): using the resudials of the model as the error if True, otherwise predict a 'test'. Defaults to False.
Returns:
VAR_errs (list): list of dataset dfs that show each soldiers VAR error over time
- time_series_metric_entropy(metric, range=[-10, 10], bins=100)
- Get an approximate entropy value from time-series metrics extracted from the GPS data
Most metrics are in a list of dataframes, one for each movement period
Get Approximate Entropy for each movement period and return the average
Customize range and bin count
Args:
metric (list): list of DataFrames that include a metric over time for each individual
range (list, optional): range of bins for Entropy Histogram. Defaults to [-10,10].
bins (int, optional): number of bins for Entropy Histogram. Defaults to 100.
Returns:
entropies (pd.Series): Series with the average entropy over movement periods for each individual
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