psd: Power spectrum analaysis for time series
In eik4862/Subway: Time Series Analysis & Visualization
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Take time series data and perform power specturm analysis.
Through FFT, it lists up the most probable periods for seasonal term.
Up to 10 most likely suggestions will be printed out to the console based on estimated PSD(Power Spectrum Density).
Usage
1
Arguments
data
Time series data or list of them to be plotted.
The data should be either ts object or numeric vector.
plot
If TRUE, the plot of estimated PSD will be presented.
Otherwise, not. (default = TRUE)
Value
A list containing the following elements:
period Data frame holding suggested periods and corresponding PSD. Ordered by PSD.
plot ggplot object of the plot. (Returned only if plot is TRUE.)
Author(s)
Sanghyun Park, Daun Jeong, and Sehun Kim
Examples
1
2
3
# 228 is the station code for SNU
data <- get.subway(228)
psd(data$total)
eik4862/Subway documentation built on Sept. 24, 2021, 3:39 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
Take time series data and perform power specturm analysis. Through FFT, it lists up the most probable periods for seasonal term. Up to 10 most likely suggestions will be printed out to the console based on estimated PSD(Power Spectrum Density).
Usage
1 |
Arguments
data |
Time series data or list of them to be plotted.
The data should be either |
plot |
If |
Value
A list containing the following elements:
period | Data frame holding suggested periods and corresponding PSD. Ordered by PSD. |
plot | ggplot object of the plot. (Returned only if plot is TRUE.) |
Author(s)
Sanghyun Park, Daun Jeong, and Sehun Kim
Examples
1 2 3 | # 228 is the station code for SNU
data <- get.subway(228)
psd(data$total)
|
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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