Plot Layer-Counted Proxy Records Uncertainties

Plot Layer-Counted Proxy Records Uncertainties

Usage

# S4 method for class 'ProxyRecord,missing'
plot(
  x,
  calendar = getOption("ananke.calendar"),
  iqr = TRUE,
  xlab = NULL,
  ylab = NULL,
  col = grDevices::hcl.colors(12, "YlOrRd", rev = TRUE),
  col.mean = "black",
  col.iqr = col.mean,
  lty.mean = 1,
  lty.iqr = 3,
  lwd.mean = 2,
  lwd.iqr = lwd.mean,
  ...
)

Arguments

x

A ProxyRecord object.

calendar

An aion::TimeScale object specifying the target calendar (see aion::calendar()). If NULL, rata die are returned.

iqr

A logical scalar: should the mean and IQR be displayed?

xlab, ylab

A character string giving a label for the x and y axis.

col

A list of colors such as that generated by grDevices::hcl.colors().

col.mean, col.iqr

A specification for the line colors. Only used if iqr is TRUE.

lty.mean, lty.iqr

A specification for the line types. Only used if iqr is TRUE.

lwd.mean, lwd.iqr

A specification for the line widths. Only used if iqr is TRUE.

...

Further parameters to be passed to graphics::image().

Value

plot() is called it for its side-effects: it results in a graphic being displayed. Invisibly returns x.

See also

Other proxy tools: proxy_ensemble()

Author

N. Frerebeau

Examples

if (FALSE) { # \dontrun{
## Get NGRIP records
data("ngrip2010", package = "folio")
ngrip2010 <- subset(ngrip2010, !is.na(MCE))
ngrip2010 <- ngrip2010[nrow(ngrip2010):1, ] # Sort in chronological order

## Replicate fig. 3d from Boers et al. (2017)
## /!\ This may take a while... /!\
ngrip_record <- proxy_ensemble(
  depth = ngrip2010$depth,
  proxy = ngrip2010$delta,
  proxy_error = 0.01,
  step = 0.001,
  time = ngrip2010$age,
  time_error = ngrip2010$MCE,
  calendar = b2k(), # /!\
  by = 20,
  n = 30
)

plot(ngrip_record)
} # }