sampling_rate
estimates the sampling rate based on the average time
intervals between adjacent samples for the input multi-channel signal.
sampling_rate(df)
df | dataframe. Input dataframe of the multi-channel signal. The first column is the timestamps in POSXlct format and the following columns are accelerometer values. |
---|
number. The estimated sampling rate in Hz.
This function accepts a dataframe of multi-channel signal, computes the duration of the sequence, and gets the sampling rate by dividing the number of samples by it.
This function is a utility function that was used in various part in the algorithm whenever we need to know the sampling rate.
Other utility functions:
clip_data()
,
cut_off_signal()
,
interpolate_signal()
,
parse_epoch_string()
,
segment_data()
,
simulate_new_data()
# Get the test data df = sample_raw_accel_data # Default sampling rate is 80Hz sampling_rate(df)#> [1] 80#> [1] 30#> [1] 100