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Example dataset from *Ulijaszek and Kerr (1999)* containing repeat measurements of stature `m` carried out by four observers on ten subjects.

Usage

stature

Format

A data frame with 8 columns and 10 rows:

| **Variable** | **Description** | | :--- | :--- | | *subject* | Subject unique identification number | | *m1* | Stature measurements of first observer | | *m2* | Stature measurements of second observer | | *m3* | Stature measurements of third observer | | *m4* | Stature measurements of fourth observer | | *f1* | Results of the first function in the group TEM equation | | *f2* | Results of the second function in the group TEM equation | | *diff* | Difference between `f2` and `f2` (`f2` - `f1`) |

Source

Ulijaszek SJ, Kerr DA. Anthropometric measurement error and the assessment of nutritional status. Br J Nutr. 2007;82: 165–13. doi:10.1017/S0007114599001348

Examples

stature
#>    subject    m1    m2    m3    m4       f1       f2   diff
#> 1        1 0.865 0.863 0.863 0.864 298.4259 298.4256 0.0003
#> 2        2 1.023 1.023 1.027 1.025 419.8412 419.8401 0.0011
#> 3        3 0.982 0.980 0.989 0.985 387.3070 387.3024 0.0046
#> 4        4 0.817 0.816 0.812 0.817 266.0178 266.0161 0.0017
#> 5        5 0.901 0.894 0.900 0.903 323.6446 323.6401 0.0045
#> 6        6 0.880 0.876 0.881 0.881 309.4098 309.4081 0.0017
#> 7        7 0.948 0.947 0.947 0.946 358.7238 358.7236 0.0002
#> 8        8 0.906 0.905 0.907 0.908 328.6974 328.6969 0.0005
#> 9        9 0.924 0.924 0.926 0.924 341.8804 341.8801 0.0003
#> 10      10 0.989 0.987 1.002 0.993 394.2343 394.2210 0.0133