traceFreq {astrochron} | R Documentation |
Frequency-domain minimal tuning: Use interactive graphical interface to trace frequency drift.
traceFreq(spec,color=2,h=6,w=4,ydir=1,xmin=NULL,xmax=NULL,ymin=NULL,ymax=NULL,ncolors=100, path=1,pl=0)
spec |
Time-frequency spectral results to evaluate. Must have the following format: column 1=frequency; remaining columns (2 to n)=power, amplitude or probability; titles for columns 2 to n must be the location (depth or height). Note that this format is ouput by function eha. |
color |
Line color for tracing. 1 = transparent black; 2 = transparent white; 3 = transparent yellow |
h |
Height of plot in inches. |
w |
Width of plot in inches. |
ydir |
Direction for y-axis in plots (depth or height). -1 = values increase downwards (slower plotting!), 1 = values increase upwards. |
xmin |
Minimum spatial frequency to plot. |
xmax |
Maximum spatial frequency to plot. |
ymin |
Minimum depth/height to plot. |
ymax |
Maximum depth/height to plot. |
ncolors |
Number of colors to use in plot. |
path |
How do you want to represent the spatial frequency path?: 1=lines and points; 2=lines; 3=points |
pl |
An option for the color plots: 0=linear scale; 1=plot log of value, 2=normalize to maximum value |
## Not run: # Check to see if this is an interactive R session, for compliance with CRAN standards. # YOU CAN SKIP THE FOLLOWING LINE IF YOU ARE USING AN INTERACTIVE SESSION. if(interactive()) { # Generate example series with 3 terms using function 'cycles'. # Then convert from time to space with sedimentation rate that increases from 1 to 5 cm/ka, using # function 'sedramp'. # Finally interpolate to median sampling interval using function 'linterp'. dat=linterp(sedRamp(cycles(freqs=c(1/100,1/40,1/20),start=1,end=2500,dt=5))) # EHA anlaysis, output amplitude results out=eha(dat,output=3) ## Interactively track frequency drift freq=traceFreq(out) } ## End(Not run)