BluegillWs: Length-weight regression results for computing Ws for...
In droglenc/FSAWs: Construct and Validate Standard Weight (Ws) Equations for Fish

BluegillWs

R Documentation

Length-weight regression results for computing Ws for Bluegill.

Description

Length-weight regression results from a variety of populations used for computing the standard weight (Ws) equation for Bluegill (Lepomis macrochirus).

Format

A data frame with 27 observations on the following 5 variables:

site: Location of sample.
state: State where location is located.
n: Sample size in regression.
log.a: Intercept of regression.
b: Slope of regression.

Details

Each row contains the intercept (log.a) and slope (b) results from fitting the log_{10}(W) = log_{10}(a) + b log_{10}(L) linear regression model to a population of n fish from the given location and state. Note that W is weight in grams and L is length in mm.

Source

From Table 2 in 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.

Examples

str(BluegillWs)
head(BluegillWs)

## Recreate Murphy et al. (1990) results for bluegills
bg.rlp <- rlp(BluegillWs$log.a,BluegillWs$b,75,395,qtype=6)
coef(bg.rlp)
# compare to log.a=-5.385 and b=3.318

droglenc/FSAWs documentation built on Feb. 3, 2023, 8:48 a.m.