WalleyeWs | R Documentation |
Length-weight regression results from a variety of populations used for computing the standard weight (Ws) equation for Walleye (Sander vitreus).
A data frame with 114 observations on the following 8 variables:
A unique identifier for the sample.
Location of sample.
State where location is located.
Sample size in regression.
Intercept of regression.
Slope of regression.
Coefficient of determination for the regression.
Mean relative weight for the population.
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.
From Table 3 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.
rlp
.
str(WalleyeWs) head(WalleyeWs) ## Recreate Murphy et al. (1990) results for walleye wae.rlp <- rlp(WalleyeWs$log.a,WalleyeWs$b,155,1045,qtype=6) coef(wae.rlp) # compare to log.a=-5.453 and b=3.180
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