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Ages assigned at two different times by Reader A to the otoliths of Jackass Morwong (Nemadactylus macropterus).

Format

A data frame with 217 paired observations on the following 2 variables.

first

Ages assigned on the first reading

second

Ages assigned on the second reading

Source

From Table 5 of Restall, J.E., and K. Krusic-Golub. 2004. Development of jackass morwong age-length keys for 2000-2002. Final report to Australian Fisheries Management Authority. 13 pp. Primary Industries Research Victoria, Queenscliff. CSV file

Topic(s)

  • Age Comparison

  • Age Precision

  • Age Bias

  • Ageing Error

Examples

data(Morwong1)
str(Morwong1)
#> 'data.frame':	217 obs. of  2 variables:
#>  $ first : int  2 3 3 3 3 3 3 3 3 3 ...
#>  $ second: int  3 3 3 3 3 3 3 3 3 4 ...
head(Morwong1)
#>   first second
#> 1     2      3
#> 2     3      3
#> 3     3      3
#> 4     3      3
#> 5     3      3
#> 6     3      3
plot(second~first,data=Morwong1)

xtabs(~first+second,data=Morwong1)
#>      second
#> first  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 25 30
#>    2   1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0
#>    3   8  5  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0
#>    4   3 24  5  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0
#>    5   0  4 14  4  2  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0
#>    6   0  0  4 11  9  5  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0
#>    7   0  0  0  5 22 10  3  2  0  0  0  0  0  0  0  0  0  0  0  0  0
#>    8   0  0  0  0  4  5  5  1  0  0  0  0  0  0  0  0  0  0  0  0  0
#>    9   0  0  0  0  0  3  7  2  0  0  0  0  0  0  0  0  0  0  0  0  0
#>    10  0  0  0  0  0  0  1  8  3  1  0  0  0  0  0  0  0  0  0  0  0
#>    11  0  0  0  0  0  1  0  0  4  3  0  0  0  0  0  0  0  0  0  0  0
#>    12  0  0  0  0  0  0  0  0  1  0  3  0  0  0  0  0  0  0  0  0  0
#>    13  0  0  0  0  0  0  0  0  0  0  2  0  0  1  0  0  0  0  0  0  0
#>    14  0  0  0  0  0  0  0  0  0  0  0  3  0  0  0  0  0  0  0  0  0
#>    15  0  0  0  0  0  0  0  0  0  0  0  1  1  2  0  0  0  0  0  0  0
#>    16  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  1  0  0  0  0  0
#>    17  0  0  0  0  0  0  0  0  0  0  0  1  0  0  1  0  0  0  0  0  0
#>    18  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  2  0  1  0  0
#>    19  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  0
#>    20  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  1  0  0
#>    22  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0
#>    24  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0
#>    28  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0
#>    30  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1