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Ages assigned by two different readers to the scales of Striped Bass (Morone saxatilis).

Format

A data frame of 1202 observations on the following 2 variables:

reader1

Ages assigned by the first reader

reader2

Ages assigned by the second reader

Source

From Figure 3 in Chapter 10 (Striped Bass) of the VMRC Final Report on Finfish Ageing, 2003 by the Center for Quantitative Fisheries Ecology at Old Dominion University. CSV file

Topic(s)

  • Age Comparison

  • Age Precision

  • Age Bias

  • Ageing Error

See also

Examples

data(StripedBass4)
str(StripedBass4)
#> 'data.frame':	1202 obs. of  2 variables:
#>  $ reader1: int  2 2 2 2 2 2 2 2 2 2 ...
#>  $ reader2: int  2 2 2 2 2 2 2 2 2 2 ...
head(StripedBass4)
#>   reader1 reader2
#> 1       2       2
#> 2       2       2
#> 3       2       2
#> 4       2       2
#> 5       2       2
#> 6       2       2
plot(reader2~reader1,data=StripedBass4)

xtabs(~reader1+reader2,data=StripedBass4)
#>        reader2
#> reader1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17  18  20
#>      2   50   4   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0
#>      3    0  25   6   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0
#>      4    1   1  25   5   0   0   0   0   0   0   0   0   0   0   0   0   0   0
#>      5    0   0   5  45   6   3   0   0   0   0   0   0   0   0   0   0   0   0
#>      6    0   0   0  10  51  23   3   1   0   0   0   0   0   0   0   0   0   0
#>      7    0   0   0   1  15 149  21   1   2   1   0   0   0   0   0   0   0   0
#>      8    0   0   0   0   2  38  97  29  15   1   0   1   0   0   0   0   0   0
#>      9    0   0   0   1   0   5  25  89  51   4   1   0   0   0   0   0   0   0
#>      10   0   0   0   0   0   0   9  32 144  22  17   0   0   0   0   0   0   0
#>      11   0   0   0   0   0   0   0   4  24  25  13   3   2   0   0   0   0   0
#>      12   0   0   0   0   0   0   0   0   2   4  23   5   6   1   0   0   0   0
#>      13   0   0   0   0   0   0   0   0   1   1   9   8   8   2   0   0   1   0
#>      14   0   0   0   0   0   0   0   0   0   0   1   1   5   2   0   0   0   0
#>      15   0   0   0   0   0   0   0   0   0   0   0   0   4   3   0   1   0   0
#>      16   0   0   0   0   0   0   0   0   0   0   0   0   0   0   2   0   0   0
#>      17   0   0   0   0   0   0   0   0   0   0   0   0   0   0   1   1   0   0
#>      18   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   1   0
#>      19   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   1