BluegillWs | R Documentation |
Length-weight regression results from a variety of populations used for computing the standard weight (Ws) equation for Bluegill (Lepomis macrochirus).
A data frame with 27 observations on the following 5 variables:
Location of sample.
State where location is located.
Sample size in regression.
Intercept of regression.
Slope of regression.
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 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.
WSlit
, WSval
and rlp
in FSA.
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
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