plot_data_timeline: plot_data_timeline

In nikolaifish/bamExtras: Functions and Data in Support of Stock Assessments with the Beaufort Assessment Model (BAM)

plot_data_timeline

Description

Make a data timeline table from the BAM rdat output t.series object. Note: plot_data_timeline() uses the plot.matrix package

Usage

plot_data_timeline(
  rdat,
  key_data_type_abb = c(L = "landings", D = "discards", U = "index", acomp = "age comp",
    lcomp = "length comp"),
  key_fleet_abb = c(cHL = "com handline", cOT = "com other", cLL = "com longline", rGN =
    "rec general", rHB = "rec headboat", rHB.D = "rec headboat discards", sTV =
    "SERFS trap video"),
  data_types = c("L", "D", "U", "acomp", "lcomp"),
  FUN_col = "rainbow",
  t.series.row.trunc = 1
)

Arguments

rdat	(list) object read in with dget()
key_data_type_abb	data type abbreviation key
key_fleet_abb	fleet abbreviation key
data_types	data types to include in plot
t.series.row.trunc	truncate rows of t.series object by this value to avoid plotting projection year or show what available data would look like in retrospective runs

Author(s)

Kyle Shertzer and Nikolai Klibansky

Examples

## Not run: 
## Data timeline plot Examples
par(mar=c(3,12,1,8),mgp=c(1,0.3,0),tck=0,las=2)
rdat <- rdat_GrayTriggerfish
plot_data_timeline(rdat,FUN_col = "heat.colors")

par(mar=c(3,12,1,8),mgp=c(1,0.3,0),tck=0,las=2)
library(viridisLite)
plot_data_timeline(rdat,data_types = c("acomp","lcomp"),FUN_col = "viridis")

## End(Not run)

nikolaifish/bamExtras documentation built on July 21, 2023, 8:26 a.m.