Computes significant peaks in the dynamic complexity time series.
Usage
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
)
Arguments
- df_win
A data frame containing series of Dynamic Complexity values obtained by running function
dc_win()
- alpha_item
The significance level of the one-sided Z-test used to determine which peaks are
> 0
.- alpha_time
The significance level of the one-sided Z-test used to determine if the number of significant peaks (as determined by
alpha_item
) at a specific time stamp are> 0
.- doPlot
If
TRUE
shows a Complexity Resonance Diagram of the Dynamic Complexity and returns an invisibleggplot2::ggplot()
object. (default =FALSE
)- useVarNames
Use the column names of
df
as variable names in the Complexity Resonance Diagram (default =TRUE
)- colOrder
If
TRUE
, the order of the columns indf
determines the of variables on the y-axis. UseFALSE
for alphabetic/numeric order. UseNA
to sort by by mean value of Dynamic Complexity (default =TRUE
)- useTimeVector
Parameter used for plotting. A vector of length
NROW(df)
, containing date/time information (default =NA
)- timeStamp
If
useTimeVector
is notNA
, a character string that can be passed tolubridate::stamp()
to format the the dates/times passed inuseTimeVector
(default ="01-01-1999"
)- markID
Numeric vector of integers in the range
[length of window, length of timeseries]
. Vertical lines will be drawn at these indices (default =NA
)- markIDcolour
Colour of time point markers (default =
"red"
)- markIDlabel
Label added to subtitle explaining time point markers (default =
Time points of interest marked red
)- markIDalpha
Alpha of time point marker colour (default =
.5
)- NAdates
Should some dates be considered
NA
? Provide a numerical vector with indices, the default is to set1:(win-1)
to NA. (default =1:(win-1)
)- trimFirstWin
Display the first empty window (
1:win-1
)? (default =TRUE
)
Value
A list with a dataframe of binary complexity peak indices and a cumulative complexity peak index, a CCP diagram.
References
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
See also
Other Dynamic Complexity functions:
dc_d()
,
dc_f()
,
dc_win()
,
plotDC_ccp()
,
plotDC_lvl()
,
plotDC_res()