ts_fil_ma: Moving Average (MA)
In tspredit: Time Series Prediction with Integrated Tuning
ts_fil_ma R Documentation
Moving Average (MA)
Description
Smooth out fluctuations and reduce noise by averaging over a
fixed-size rolling window.
Usage
ts_fil_ma(ma = 3)
Arguments
ma
moving average size
Details
Larger windows produce smoother series but may lag turning points.
Value
A ts_fil_ma object.
Examples
# time series with noise
library(daltoolbox)
data(tsd)
tsd$y[9] <- 2*tsd$y[9]
# filter
filter <- ts_fil_ma(3)
filter <- fit(filter, tsd$y)
y <- transform(filter, tsd$y)
# plot
plot_ts_pred(y=tsd$y, yadj=y)
tspredit documentation built on Feb. 11, 2026, 9:08 a.m.
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| ts_fil_ma | R Documentation |
Moving Average (MA)
Description
Smooth out fluctuations and reduce noise by averaging over a fixed-size rolling window.
Usage
ts_fil_ma(ma = 3)
Arguments
ma |
moving average size |
Details
Larger windows produce smoother series but may lag turning points.
Value
A ts_fil_ma object.
Examples
# time series with noise
library(daltoolbox)
data(tsd)
tsd$y[9] <- 2*tsd$y[9]
# filter
filter <- ts_fil_ma(3)
filter <- fit(filter, tsd$y)
y <- transform(filter, tsd$y)
# plot
plot_ts_pred(y=tsd$y, yadj=y)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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