| Title: | The Chi-Square Periodogram |
|---|---|
| Description: | The circadian period of a time series data is predicted and the statistical significance of the periodicity are calculated using the chi-square periodogram. |
| Authors: | Hitoshi Iuchi, Rikuhiro G. Yamada |
| Maintainer: | Hitoshi Iuchi <[email protected]> |
| License: | MIT + file LICENSE |
| Version: | 0.1.2 |
| Built: | 2025-01-22 06:43:42 UTC |
| Source: | CRAN |
calculate Qp
calcQp(values, varPer)calcQp(values, varPer)
values |
activity values (each value represents the measured activity in a minute) |
varPer |
a period at which the chi-squared statistics is to be calculated |
a numeric of the calculated chi-squared statistics at the given varPer
Calculate chi-square periodogram
chiSqPeriodogram(activityDF, res = 0.1)chiSqPeriodogram(activityDF, res = 0.1)
activityDF |
data frame containing time and activity values |
res |
time resolution for calculating chi-squared statistics |
data frame of two columns (dateTime (min), Qp value)
Draw a graph of chi-square periodogram
chiSqPeriodogramPlot(chiSqPrdgmDF)chiSqPeriodogramPlot(chiSqPrdgmDF)
chiSqPrdgmDF |
data frame containing three column (testPerVec, Qp.act, Qp.sig) |
ggplot object
oscillation <- sin(seq(0, 2 * pi * 10, by = 2 * pi / 1440)) oscillation.df <- data.frame(dateTime = 1:length(oscillation), value = oscillation) chiSqPeriodogramPlot(chiSqPeriodogram(oscillation.df))oscillation <- sin(seq(0, 2 * pi * 10, by = 2 * pi / 1440)) oscillation.df <- data.frame(dateTime = 1:length(oscillation), value = oscillation) chiSqPeriodogramPlot(chiSqPeriodogram(oscillation.df))
find the peak value from chi-squared periodogram
getPeak(x, y, z, p)getPeak(x, y, z, p)
x |
times at which each chi-squared statistics is calculated |
y |
chi-squared statistics calculated from an activity data |
z |
chi-squared statistics calculated from a null-hypothesis |
p |
number of points to be used for fitting a quadratic function |
data frame with five numerics