Construct a base tic-tac-toe plot for presenting predator-prey PSD values. Predator-prey PSD values are added with plotCI from plotrix.

tictactoe(predobj = c(30, 70), preyobj = c(30, 70),
  predlab = "Predator PSD", preylab = "Prey PSD", obj.col = "black",
  obj.trans = 0.2, bnd.col = "black", bnd.lwd = 1, bnd.lty = 2)

Arguments

predobj

A vector of length 2 that contains the target objective range for the predator.

preyobj

A vector of length 2 that contains the target objective range for the prey.

predlab

A string representing a label for the x-axis.

preylab

A string representing a label for the y-axis.

obj.col

A string designating a color to which the target objective regions should be shaded.

obj.trans

A numeric (decimal) that indicates the level of transparency for marking the target objective regions.

bnd.col

A string that indicates a color for the boundaries of the target objective regions.

bnd.lwd

A numeric that indicates the line width for the boundaries of the target objective regions.

bnd.lty

A numeric that indicates the line type for the boundaries of the target objective regions.

Value

None. However, a graphic is produced.

Details

This function simply creates a base tic-tac-toe plot. Observed values, with confidence intervals, are added to this plot with plotCI from plotrix; see examples.

IFAR Chapter

6-Size Structure.

References

Ogle, D.H. 2016. Introductory Fisheries Analyses with R. Chapman & Hall/CRC, Boca Raton, FL.

See also

See psdVal and psdCalc for related functionality.

Examples

## Create hypothetical data for plotting one point .. similar to what might come from psdCalc() prey <- c(45.4,30.2,56.8) pred <- c(24.5,10.2,36.7) names(prey) <- names(pred) <- c("Estimate","95% LCI","95% UCI") prey
#> Estimate 95% LCI 95% UCI #> 45.4 30.2 56.8
pred
#> Estimate 95% LCI 95% UCI #> 24.5 10.2 36.7
tictactoe()
if (require(plotrix)) { plotCI(prey[1],pred[1],li=prey[2],ui=prey[3],err="x",pch=16,add=TRUE) plotCI(prey[1],pred[1],li=pred[2],ui=pred[3],err="y",pch=16,add=TRUE) }
#> Loading required package: plotrix
## Create hypothetical data for plotting three points .. similar to what might come from psdCalc() prey <- rbind(c(45.4,30.2,56.8), c(68.2,56.7,79.4), c(17.1, 9.5,26.3)) pred <- rbind(c(24.5,10.2,36.7), c(14.2, 7.1,21.3), c(16.3, 8.2,24.4)) colnames(prey) <- colnames(pred) <- c("Estimate","95% LCI","95% UCI") prey
#> Estimate 95% LCI 95% UCI #> [1,] 45.4 30.2 56.8 #> [2,] 68.2 56.7 79.4 #> [3,] 17.1 9.5 26.3
pred
#> Estimate 95% LCI 95% UCI #> [1,] 24.5 10.2 36.7 #> [2,] 14.2 7.1 21.3 #> [3,] 16.3 8.2 24.4
tictactoe()
if (require(plotrix)) { plotCI(prey[,1],pred[,1],li=prey[,2],ui=prey[,3],err="x",pch=16,add=TRUE) plotCI(prey[,1],pred[,1],li=pred[,2],ui=pred[,3],err="y",pch=16,add=TRUE) }
lines(prey[,1],pred[,1])
text(prey[,1],pred[,1],labels=c(2010,2011,2012),adj=c(-0.5,-0.5))