dc_ccp | R Documentation |
Computes significant peaks in the dynamic complexity time series.
dc_ccp(
df_win,
alpha_item = 0.05,
alpha_time = 0.05,
doPlot = FALSE,
useVarNames = TRUE,
colOrder = TRUE,
useTimeVector = NA,
timeStamp = "31-01-1999",
markID = NA,
markIDcolour = "grey",
markIDlabel = "Time points of interest marked grey",
markIDalpha = 0.5,
NAdates = 1:(win - 1),
trimFirstWin = TRUE
)
df_win |
A data frame containing series of Dynamic Complexity values obtained by running function |
alpha_item |
The significance level of the one-sided Z-test used to determine which peaks are |
alpha_time |
The significance level of the one-sided Z-test used to determine if the number of significant peaks (as determined by |
doPlot |
If |
useVarNames |
Use the column names of |
colOrder |
If |
useTimeVector |
Parameter used for plotting. A vector of length |
timeStamp |
If |
markID |
Numeric vector of integers in the range |
markIDcolour |
Colour of time point markers (default = |
markIDlabel |
Label added to subtitle explaining time point markers (default = |
markIDalpha |
Alpha of time point marker colour (default = |
NAdates |
Should some dates be considered |
trimFirstWin |
Display the first empty window ( |
A list with a dataframe of binary complexity peak indices and a cumulative complexity peak index, a CCP diagram.
Merlijn Olthof
Fred Hasselman
Haken H, & Schiepek G. (2006). Synergetik in der Psychologie. Selbstorganisation verstehen und gestalten. Hogrefe, Göttingen.
Schiepek, G. (2003). A Dynamic Systems Approach to Clinical Case Formulation. European Journal of Psychological Assessment, 19, 175-184. https://doi.org/10.1027//1015-5759.19.3.175
Schiepek, G., & Strunk, G. (2010). The identification of critical fluctuations and phase transitions in short term and coarse-grained time series-a method for the real-time monitoring of human change processes. Biological cybernetics, 102(3), 197-207. https://doi.org/10.1007/s00422-009-0362-1
Other Dynamic Complexity functions:
dc_d()
,
dc_f()
,
dc_win()
,
plotDC_ccp()
,
plotDC_lvl()
,
plotDC_res()
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