| Type: | Package |
| Title: | The Chi-Square Periodogram |
| Version: | 0.1.2 |
| Author: | Hitoshi Iuchi, Rikuhiro G. Yamada |
| Maintainer: | Hitoshi Iuchi <hiuchi@sfc.keio.ac.jp> |
| 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. |
| License: | MIT + file LICENSE |
| Suggests: | testthat |
| Encoding: | UTF-8 |
| LazyData: | true |
| RoxygenNote: | 6.0.1 |
| Imports: | ggplot2, reshape2 |
| NeedsCompilation: | no |
| Packaged: | 2017-06-08 07:55:48 UTC; hiuchi |
| Repository: | CRAN |
| Date/Publication: | 2017-06-08 11:37:17 UTC |
calculate Qp
Description
calculate Qp
Usage
calcQp(values, varPer)
Arguments
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 |
Value
a numeric of the calculated chi-squared statistics at the given varPer
Calculate chi-square periodogram
Description
Calculate chi-square periodogram
Usage
chiSqPeriodogram(activityDF, res = 0.1)
Arguments
activityDF |
data frame containing time and activity values |
res |
time resolution for calculating chi-squared statistics |
Value
data frame of two columns (dateTime (min), Qp value)
Draw a graph of chi-square periodogram
Description
Draw a graph of chi-square periodogram
Usage
chiSqPeriodogramPlot(chiSqPrdgmDF)
Arguments
chiSqPrdgmDF |
data frame containing three column (testPerVec, Qp.act, Qp.sig) |
Value
ggplot object
Examples
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
Description
find the peak value from chi-squared periodogram
Usage
getPeak(x, y, z, p)
Arguments
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 |
Value
data frame with five numerics