psdCalc | R Documentation |
Convenience function for calculating (traditional) PSD-X and (incremental) PSD X-Y values for all Gabelhouse lengths and increments thereof.
psdCalc(
formula,
data,
species,
units = c("mm", "cm", "in"),
method = c("multinomial", "binomial"),
conf.level = 0.95,
addLens = NULL,
addNames = NULL,
justAdds = FALSE,
what = c("all", "traditional", "incremental", "none"),
drop0Est = TRUE,
showIntermediate = FALSE,
digits = 0
)
formula |
A formula of the form |
data |
A data.frame that minimally contains the observed lengths given in the variable in |
species |
A string that contains the species name for which Gabelhouse lengths exist. See |
units |
A string that indicates the type of units used for the lengths. Choices are |
method |
A character that identifies the confidence interval method to use. See details in |
conf.level |
A number that indicates the level of confidence to use for constructing confidence intervals (default is |
addLens |
A numeric vector that contains minimum lengths for additional categories. See |
addNames |
A string vector that contains names for the additional lengths added with |
justAdds |
A logical that indicates whether just the values related to the length sin |
what |
A string that indicates the type of PSD values that will be printed. See details. |
drop0Est |
A logical that indicates whether the PSD values that are zero should be dropped from the output. |
showIntermediate |
A logical that indicates whether the number of fish in the category and the number of stock fish (i.e., “intermediate” values) should be included in the returned matrix. Default is to not include these values. |
digits |
A numeric that indicates the number of decimals to round the result to. Default is zero digits following the recommendation of Neumann and Allen (2007). |
Computes the (traditional) PSD-X and (incremental) PSD X-Y values, with associated confidence intervals, for each Gabelhouse length. All PSD-X and PSD X-Y values are printed if what="all"
(DEFAULT), only PSD-X values are printed if what="traditional"
, only PSD X-Y values are printed if what="incremental"
, and nothing is printed (but the matrix is still returned) if what="none"
.
Confidence intervals can be computed with either the multinomial (Default) or binomial distribution as set in method
See details in psdCI
for more information.
This function may be used for species for which Gabelhouse length categories are not defined. In this case do not include a name in species
, but define at least two lengths in addLens
where the first category MUST be called “stock”.
A matrix with columns that contain the computed PSD-X or PSD X-Y values and associated confidence intervals. If showIntermediate=TRUE
then the number of fish in the category and the number of stock fish will also be shown.
Point estimate calculations match those constructed "by hand."
6-Size Structure.
Derek H. Ogle, DerekOgle51@gmail.com
Ogle, D.H. 2016. Introductory Fisheries Analyses with RChapman & Hall/CRC, Boca Raton, FL.
Guy, C.S., R.M. Neumann, and D.W. Willis. 2006. New terminology for proportional stock density (PSD) and relative stock density (RSD): proportional size structure (PSS). Fisheries 31:86-87. [Was (is?) from http://pubstorage.sdstate.edu/wfs/415-F.pdf.]
Guy, C.S., R.M. Neumann, D.W. Willis, and R.O. Anderson2006Proportional size distribution (PSD): A further refinement of population size structure index terminology. Fisheries. 32:348. [Was (is?) from http://pubstorage.sdstate.edu/wfs/450-F.pdf.]
Neumann, R.M. and Allen, M.S. 2007. Size structure. In Guy, C.S. and Brown, M.L., editors, Analysis and Interpretation of Freshwater Fisheries Data, Chapter 9, pages 375-421. American Fisheries Society, Bethesda, MD.
Willis, D.W., B.R. Murphy, and C.S. Guy. 1993. Stock density indices: development, use, and limitations. Reviews in Fisheries Science 1:203-222. [Was (is?) from http://web1.cnre.vt.edu/murphybr/web/Readings/Willis%20et%20al.pdf.]
See psdVal
, psdPlot
, psdAdd
, PSDlit
, tictactoe
, lencat
, and rcumsum
for related functionality.
## Random length data
# suppose this is yellow perch to the nearest mm
yepdf <- data.frame(yepmm=round(c(rnorm(100,mean=125,sd=15),
rnorm(50,mean=200,sd=25),
rnorm(20,mean=300,sd=40)),0),
species=rep("Yellow Perch",170))
psdCalc(~yepmm,data=yepdf,species="Yellow perch",digits=1)
psdCalc(~yepmm,data=yepdf,species="Yellow perch",digits=1,drop0Est=TRUE)
## add a length
psdCalc(~yepmm,data=yepdf,species="Yellow perch",addLens=150)
## add lengths with names
psdCalc(~yepmm,data=yepdf,species="Yellow perch",addLens=150,addNames="minLen")
psdCalc(~yepmm,data=yepdf,species="Yellow perch",addLens=c("minLen"=150))
psdCalc(~yepmm,data=yepdf,species="Yellow perch",addLens=c(150,275),addNames=c("minSlot","maxSlot"))
psdCalc(~yepmm,data=yepdf,species="Yellow perch",addLens=c("minLen"=150,"maxslot"=275))
## add lengths with names, return just those values that use those lengths
psdCalc(~yepmm,data=yepdf,species="Yellow perch",addLens=c("minLen"=150),justAdds=TRUE)
psdCalc(~yepmm,data=yepdf,species="Yellow perch",addLens=c("minLen"=150),justAdds=TRUE,
what="traditional")
psdCalc(~yepmm,data=yepdf,species="Yellow perch",addLens=c(150,275),
addNames=c("minSlot","maxSlot"),justAdds=TRUE)
psdCalc(~yepmm,data=yepdf,species="Yellow perch",addLens=c(150,275),
addNames=c("minSlot","maxSlot"),justAdds=TRUE,what="traditional")
## different output types
psdCalc(~yepmm,data=yepdf,species="Yellow perch",addLens=150,what="traditional")
psdCalc(~yepmm,data=yepdf,species="Yellow perch",addLens=150,what="incremental")
psdCalc(~yepmm,data=yepdf,species="Yellow perch",addLens=150,what="none")
## Show intermediate values
psdCalc(~yepmm,data=yepdf,species="Yellow perch",showInterm=TRUE)
psdCalc(~yepmm,data=yepdf,species="Yellow perch",what="traditional",showInterm=TRUE)
psdCalc(~yepmm,data=yepdf,species="Yellow perch",what="incremental",showInterm=TRUE)
## Control the digits
psdCalc(~yepmm,data=yepdf,species="Yellow perch",digits=1)
## Working with a species not in PSDlit ... same data, but don't give species
psdCalc(~yepmm,data=yepdf,addLens=c("stock"=130,"quality"=200,"preferred"=250,
"memorable"=300,"trophy"=380))
psdCalc(~yepmm,data=yepdf,addLens=c("stock"=130,"quality"=200,
"preferred"=250,"name1"=220))
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