Growth increment data for Red Lakes Walleye (Sander vitreus) in one-fish-per-line format.
Format
A data frame with 1543 observations on the following 13 variables.
- fish
A fish identification number. Unique within a year but not across years.
- yearcap
Year the fish was captured.
- ce
A factor denoting capture gear (
C
=commercial andE
=experimental nets).- agecap
Age of fish at capture.
- lencap
Length of fish at capture.
- inc1
Scale measurement to first annulus.
- inc2
Scale measurement between first and second annulus.
- inc3
Scale measurement between second and third annulus.
- inc4
Scale measurement between third and fourth annulus.
- inc5
Scale measurement between fourth and fifth annulus.
- inc6
Scale measurement between fifth and sixth annulus.
- inc7
Scale measurement between sixth and seventh annulus.
- radcap
Scale radius at time of capture
Source
Cyterski, M.J. and G.R. Spangler. 1996. A tool for age determination. North American Journal of Fisheries Management 16:403-412. CSV file
Examples
data(WalleyeRL)
str(WalleyeRL)
#> 'data.frame': 1543 obs. of 13 variables:
#> $ fish : int 1179 681 691 692 693 702 704 705 649 650 ...
#> $ yearcap: int 1961 1979 1979 1979 1979 1979 1979 1979 1980 1980 ...
#> $ ce : Factor w/ 2 levels "C","E": 1 2 2 2 2 2 2 2 2 2 ...
#> $ agecap : int 1 1 1 1 1 1 1 1 1 1 ...
#> $ lencap : int 236 216 188 198 216 211 178 170 193 193 ...
#> $ inc1 : num 1.357 0.699 0.852 0.966 1.26 ...
#> $ inc2 : num 0.993 0.563 0.647 0.72 0.833 ...
#> $ inc3 : num NA NA NA NA NA NA NA NA NA NA ...
#> $ inc4 : num NA NA NA NA NA NA NA NA NA NA ...
#> $ inc5 : num NA NA NA NA NA NA NA NA NA NA ...
#> $ inc6 : num NA NA NA NA NA NA NA NA NA NA ...
#> $ inc7 : num NA NA NA NA NA NA NA NA NA NA ...
#> $ radcap : num 2.35 1.26 1.5 1.69 2.09 ...
head(WalleyeRL)
#> fish yearcap ce agecap lencap inc1 inc2 inc3 inc4 inc5 inc6 inc7 radcap
#> 1 1179 1961 C 1 236 1.3568 0.9926 NA NA NA NA NA 2.3494
#> 2 681 1979 E 1 216 0.6986 0.5630 NA NA NA NA NA 1.2616
#> 3 691 1979 E 1 188 0.8515 0.6467 NA NA NA NA NA 1.4982
#> 4 692 1979 E 1 198 0.9659 0.7202 NA NA NA NA NA 1.6861
#> 5 693 1979 E 1 216 1.2599 0.8333 NA NA NA NA NA 2.0932
#> 6 702 1979 E 1 211 0.8349 0.5005 NA NA NA NA NA 1.3354