View source: R/ts_norm_swminmax.R
ts_norm_swminmax | R Documentation |
The ts_norm_swminmax function creates an object for normalizing a time series based on the "sliding window min-max scaling" method
ts_norm_swminmax(remove_outliers = TRUE)
remove_outliers |
logical: if TRUE (default) outliers will be removed. |
returns a ts_norm_swminmax
object.
# time series to normalize
data(sin_data)
# convert to sliding windows
ts <- ts_data(sin_data$y, 10)
ts_head(ts, 3)
summary(ts[,10])
# normalization
preproc <- ts_norm_swminmax()
preproc <- fit(preproc, ts)
tst <- transform(preproc, ts)
ts_head(tst, 3)
summary(tst[,10])
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