Man pages for FredHasselman/casnet
A Toolbox for Studying Complex Adaptive Systems and NETworks

add_alphaAdd transparency to a colour
as.numeric_characterCharacter vector to named numeric vector
as.numeric_discreteDiscrete (factor or character) to numeric vector
as.numeric_factorNumeric factor to numeric vector
bandReplaceReplace matrix diagonals
casnet-deprecatedDeprecated functions in package 'casnet'.
casnet-packagecasnet: A Toolbox for Studying Complex Adaptive Systems and...
crit_in-deprecatedCritical Instability
dc_ccpCumulative Complexity Peaks (CCP)
DC_DDistribution Uniformity Distribution Uniformity is one of two...
DC_D-deprecatedDistribution Uniformity
DC_FFluctuation Intensity
DC_F-deprecatedFluctuation Intensity
dc_winDynamic Complexity
di2biDistance to binary matrix
di2weDistance 2 weighted matrix
dist_hammingCalculate Hamming distance
dyn_comp-deprecatedDynamic Complexity
elascerElastic Scaler - A Flexible Rescale Function
est_emDimEstimate number of embedding dimensions
est_emLagEstimate embedding lag (tau)
est_parametersEstimate (C)RQA parameters
est_radiusFind fixed or optimal radius
factor_obs_expAdd expected factor labels to observed values
fd_allanAllan Variance Analysis
fd_boxcount2D2D Boxcount for 1D signal
fd_dfaDetrended Fluctuation Analysis (DFA)
fd_mfdfaMulti-fractal Detrended Fluctuation Analysis
fd_psdPower Spectral Density Slope (PSD).
fd_RRRelative Roughness
fd_sdaStandardised Dispersion Analysis (SDA).
fd_sevCalculate FD using Sevcik's method
flight_CauchyCreate Cauchy Flight
flight_LevyParetoCreate a Levy-Pareto flight
flight_RayleighCreate Rayleigh Flight (Brownian Motion)
fltrITWrapper for filtfilt
getColoursGet some nice colours
get_fluctGet fluctuations (internal)
get_osWhich OS is running?
growth_acExamples of dynamical growth models (maps)
growth_ac_condExamples of conditional dynamical growth models (maps)
HeavisideHeaviside step function
layout_as_spiralLayout a graph on a spiral
make_spiral_focusSpiral Graph with Epoch Focus
make_spiral_graphMake Spiral Graph
mifMutual Information Function
mi_interlayerInter-layer mutual information
mi_matMutual Information variations
monoHmono Hurst
mrnMultiplex Recurrence Network
noise_fBmGenerate fractional Brownian motion
noise_fGnGenerate fractional Gaussian noise
noise_powerlawGenerate noise series with power law scaling exponent
pacf_fisherZFisherZ for PACF
plotDC_ccpPlot Cumulative Complexity Peaks
plotDC_lvlPlot Peaks versus Levels
plotDC_resPlot Complexity Resonance Diagram
plotFD_loglogPlot output from fluctuation analyses based on log-log...
plotMRN_winPlot windowed Multiplex Recurrence Network measures
plotNET_BAExample of Barabasi scale-free network
plotNET_groupColourVertex and Edge Group Colours
plotNET_groupWeightSet Edge weights by group
plotNET_prepPlot Network Based on RQA
plotNET_SWExample of Strogatz-Watts small-world network
plotRED_acfPlot ACF and PACF
plotRED_mifPlot various MI functions
plotSUR_histSurrogate Test
plotTS_multiPlot Multivariate Time Series Data
repmatRepeat Copies of a Matrix
rnCreate a Recurrence Network Matrix
RNGRandom Number Sequences
rn_multiplexMutliplex Recurrence Network
rn_plotPlot (thresholded) distance matrix as a network
rn_recSpecRecurrence Time Spectrum
rn_scaleoGramRecurrence Time Scaleogram
rpCreate a Distance Matrix
rp_checkfixCheck a Recurrence Matrix
rp_clFast (C)RQA (command line crp)
rp_copy_attributesCopy Matrix Attributes
rp_diagProfileDiagonal Recurrence Profile
rp_emptyEmpty results vector
rp_lineDistLine length distributions
rp_measuresGet (C)RQA measures based on a binary matrix
rp_measures_mainGet (C)RQA measures from a Recurrence Matrix
rp_plotPlot (thresholded) distance matrix as a recurrence plot
rp_prepPrepare matrix
sa2fd_dfaInformed Dimension estimate from DFA slope (H)
sa2fd_psdInformed Dimension estimate from Spectral Slope (aplha)
sa2fd_sdaInformed Dimension estimate from SDA slope.
set_command_line_rpSet command line RQA executable
ssg_gwf2longImport GridWare files
ssg_winnowingWinnowing procedure for SSG
SWtestESmall World test
symbolizeConvert numeric vectors to symbolic vectors.
symHelperCorrect for plateaus in symbolic series
tidyevalTidy eval helpers
try_CATCHtryCatch both warnings (with value) and errors
ts_centerCenter a vector
ts_changeindexFind change indices
ts_checkfixCheck and/or Fix a vector
ts_detrendDetrend a time series
ts_diffDerivative of time series
ts_discreteDiscrete representation
ts_durationTime series to Duration series
ts_embedDelay embedding of a time series
ts_integrateCreate a timeseries profile
ts_levelsDetect levels in time series
ts_peaksFind Peaks or Wells
ts_permtest_blockPermutation Test: Block Randomisation
ts_permtest_transmatPermutation Test: Transition Matrix
ts_rasterizeTurn a 1D time series vector into a 2D curve
ts_sdStandard Deviation estimates
ts_sliceSlice a Matrix
ts_standardiseStandardise a vector
ts_sumorderAdjust time series by summation order
ts_symbolicSymbolic representation
ts_transmatTransition matrix
ts_trimfillTrim or Fill Vectors
ts_windowerGet sliding window indices
win_slideSliding window analysis
FredHasselman/casnet documentation built on Dec. 11, 2019, 6:17 p.m.