WSlit {FSA} | R Documentation |
All known standard weight equations.
Description
Parameters for all known standard weight equations.
Format
A data frame with observations on the following 13 variables:
- species
Species name. Use
wsVal()
to see the list of available species.- units
Units of measurements.
Metric
uses lengths in mm and weight in grams.English
uses lengths in inches and weight in pounds.- type
Type of equation (
linear
orquadratic
).- ref
Reference quartile (
75
,50
, or25
).- measure
The type of length measurement used – total length (
TL
) or fork length (FL
).- method
The type of method used to derive the equation (Regression Line Percentile (
RLP
; see Murphy et al. (1990) and Murphy et al. (1991)), Empirical Percentile (EmP
; see Gerow et al. (2005)), orOther
).- min.len
Minimum total length (mm or in, depending on
units
) for which the equation should be applied.- max.len
Maximum total length (mm or in, depending on
units
) for which the equation should be applied.- int
The intercept for the model.
- slope
The slope for the linear equation or the linear coefficient for the quadratic equation.
- quad
The quadratic coefficient in the quadratic equation.
- source
Source of the equation. These match the sources given in Neumann et al. (2012).
- comment
Comments about use of equation.
Details
The minimum TL for the English units were derived by rounding the converted minimum TL for the metric units to what seemed like common units (inches, half inches, or quarter inches).
Topic(s)
Relative weight
Standard weight
Condition
IFAR Chapter
8-Condition.
Source
Most of these equations can be found in Neumann et al. (2012). Species not in Neumann et al. (2012) are noted as such in the comments
variable.
References
Ogle, D.H. 2016. Introductory Fisheries Analyses with R. Chapman & Hall/CRC, Boca Raton, FL.
Gerow, K.G., R.C. Anderson-Sprecher, and W.A. Hubert. 2005. A new method to compute standard weight equations that reduces length-related bias. North American Journal of Fisheries Management 25:1288–1300.
Murphy, B.R., M.L. Brown, and T.A. Springer. 1990. Evaluation of the relative weight (Wr) index, with new applications to walleye. North American Journal of Fisheries Management 10:85–97.
Murphy, B. R., D. W. Willis, and T. A. Springer. 1991. The relative weight index in fisheries management: Status and needs. Fisheries (Bethesda) 16(2):30–38.
Neumann, R.M., C.S. Guy, and D.W. Willis. 2012. Length, Weight, and Associated Indices. Chapter 14 in Zale, A.V., D.L. Parrish, and T.M. Sutton, editors. Fisheries Techniques. American Fisheries Society, Bethesda, MD.
See Also
See wsVal
and wrAdd
for related functionality.
Examples
str(WSlit)
head(WSlit)