plot_timeseries: Plot time series of data

In tcarruth/MSEtool: Management Strategy Evaluation Toolkit

Description

Plot time series of observed (with lognormally-distributed error bars) vs. predicted data.

Usage

plot_timeseries(
  Year,
  obs,
  fit = NULL,
  obs_CV = NULL,
  obs_CV_CI = 0.95,
  obs_upper = NULL,
  obs_lower = NULL,
  obs_ind_blue = NULL,
  fit_linewidth = 3,
  fit_color = "red",
  label = "Observed data"
)

Arguments

Year	A vector of years for the data.
obs	A vector of observed data.
fit	A vector of predicted data (e.g., from an assessment model).
obs_CV	A vector of year-specific coefficient of variation in the observed data.
obs_CV_CI	The confidence interval for the error bars based for obs_CV.
obs_upper	A vector of year-specific upper bounds for the error bars of the observed data (in lieu of argument obs_CV).
obs_lower	A vector of year-specific lower bounds for the error bars of the observed data (in lieu of argument obs_CV).
obs_ind_blue	Indices of obs for which the plotted points and error bars will be blue.
fit_linewidth	Argument lwd for fitted line.
fit_color	Color of fitted line.
label	Character string that describes the data to label the y-axis.

Author(s)

Q. Huynh

See Also

plot_residuals

Examples

data(Red_snapper)
plot_timeseries(Red_snapper@Year, Red_snapper@Cat[1, ],
obs_CV = Red_snapper@CV_Cat, label = "Catch")

tcarruth/MSEtool documentation built on Oct. 19, 2020, 6:09 a.m.