Description Usage Arguments Author(s) References See Also Examples
View source: R/paper-plotting-functions.R
Plot the timescale dependence of proxy signal-to-noise ratios.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 |
spec |
a (named) list of signal-to-noise ratio data sets: each data set
itself should be list containing at least a named element |
f.cut |
Shall the spectra be cut at the cutoff frequency constrained
by the diffusion correction strength? Defaults to |
names |
an optional character vector of names of the proxy data
sets. If |
col |
a numeric or character vector of colors to use for the plotting
with length recycled to match |
xlim |
the x limits (x1, x2) of the plot. |
ylim |
the y limits (y1, y2) of the plot. |
plt.ann |
if |
xlab |
if not |
ylab |
if not |
xtm |
if not |
ytm |
if not |
xtl |
x axis tick mark labels. If |
ytl |
equivalent to |
Thomas Münch
Münch, T. and Laepple, T.: What climate signal is contained in decadal- to centennial-scale isotope variations from Antarctic ice cores? Clim. Past, 14, 2053–2070, https://doi.org/10.5194/cp-14-2053-2018, 2018.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | # Plot Figure 3 in Münch and Laepple (2018)
# (DML and WAIS oxygen isotope data sets):
# Load main spectral results
DWS <- WrapSpectralResults(
dml1 = dml$dml1, dml2 = dml$dml2, wais = wais,
diffusion = diffusion.tf,
time.uncertainty = time.uncertainty.tf,
df.log = c(0.15, 0.15, 0.1))
# Calculate the final signal-to-noise ratio spectra
SNR <- proxysnr:::PublicationSNR(DWS)
# Plot it
PlotSNR(SNR, f.cut = TRUE,
names = c("DML", "WAIS"),
col = c("black", "dodgerblue4"))
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