Description Usage Arguments Value Examples
The package sitsfeats provides a set of basics metrics:
The max_ts()
retrieves the maximum value contained in the time
series.
The min_ts()
retrieves the minimum value contained in the time
series.
The mean_ts()
retrieves the mean value of the time series.
The median_ts()
retrieves the median value of the time series.
The sum_ts()
retrieves the sum of all time series points.
The std_ts()
retrieves the standard deviation of the time
series.
The skew_ts()
retrieves the skewness of the time series.
The kurt_ts()
retrieves the kurtosis of the time series.
The amplitude_ts()
retrieves the amplitude of the time series.
The fslope_ts()
retrieves the first slope of the time series.
The abs_sum_ts()
retrieves the absolute sum of the time series
points.
The amd_ts()
retrieves the absolute mean of the difference
between each point in the time series.
The mse_ts()
retrieves the mean spectral energy of the time
series.
The fqr_ts()
retrieves the value of the first quartile of the
time series (0.25).
The sqr_ts()
retrieves the value of the second quartile of the
time series (0.50).
The tqr_ts()
retrieves the value of the third quartile of the
time series (0.75).
The iqr_ts()
retrieves the interquartile range
(difference between the third and first quartile).
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | max_ts(timeseries)
min_ts(timeseries)
mean_ts(timeseries)
median_ts(timeseries)
sum_ts(timeseries)
std_ts(timeseries)
skew_ts(timeseries)
kurt_ts(timeseries)
amplitude_ts(timeseries)
fslope_ts(timeseries)
abs_sum_ts(timeseries)
amd_ts(timeseries)
mse_ts(timeseries)
fqr_ts(timeseries)
sqr_ts(timeseries)
tqr_ts(timeseries)
iqr_ts(timeseries)
|
timeseries |
a |
a numeric
vector for each metric in each time series
1 2 | data("timeseries")
mean_values <- sitsfeats::mean_ts(timeseries)
|
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