ts_sd: Standard Deviation estimates

In FredHasselman/casnet: A Toolbox for Studying Complex Adaptive Systems and Networks

Standard Deviation estimates

Description

Calculates the population estimate of the standard deviation, or the unadjusted standard deviation.

Usage

ts_sd(y, na.rm = TRUE, type = c("Bessel", "unadjusted")[1], silent = TRUE)

Arguments

y	Time series or numeric vector
na.rm	Remove missing values before calculations
type	Apply Bessel's correction (divide by N-1) or return unadjusted SD (divide by N)
silent	Silent-ish mode (default = TRUE)

Value

Standard deviation of y

See Also

Other Time series operations: ts_center(), ts_changeindex(), ts_checkfix(), ts_detrend(), ts_diff(), ts_discrete(), ts_duration(), ts_embed(), ts_integrate(), ts_levels(), ts_peaks(), ts_permtest_block(), ts_permtest_transmat(), ts_rasterize(), ts_slice(), ts_slopes(), ts_standardise(), ts_sumorder(), ts_symbolic(), ts_trimfill(), ts_windower()

FredHasselman/casnet documentation built on April 20, 2024, 3:05 p.m.