data/urchin.growth.R

"urchin.growth" <-
structure(list(age = c(6.91, 0.91, 2.41, 0.49, 2.41, 3.42, 1.41, 
0.49, 0.49, 3.42, 0.91, 1.41, 0.91, 0.91, 1.91, 1.41, 2.41, 1.41, 
1.91, 3.92, 0.91, 0.49, 0.49, 0.91, 2.41, 5.91, 1.41, 0.49, 0.49, 
5.42, 4.41, 1.41, 4.41, 2.92, 2.92, 0.49, 1.91, 2.41, 4.41, 2.41, 
4.41, 4.41, 1.41, 4.41, 1.41, 0.91, 1.91, 4.41, 0.91, 1.41, 2.92, 
0.91, 5.42, 1.41, 3.92, 0.49, 3.92, 1.91, 2.92, 1.91, 1.91, 4.41, 
3.92, 4.41, 2.92, 1.91, 0.49, 1.41, 0.49, 1.91, 1.91, 2.41, 0.49, 
1.41, 2.41, 2.92, 2.41, 0.49, 1.91, 2.92, 1.91, 1.41, 0.91, 6.91, 
3.92, 3.92, 1.91, 0.91, 2.92, 1.41, 1.91, 3.42, 2.41, 0.91, 4.41, 
2.41, 2.92, 0.49, 0.49, 1.41, 1.91, 3.92, 0.49, 0.91, 0.49, 0.49, 
2.92, 0.91, 1.41, 4.41, 2.92, 2.41, 0.49, 0.49, 6.91, 4.41, 0.91, 
2.92, 0.49, 6.42, 0.49, 0.49, 1.91, 3.92, 5.91, 2.92, 3.42, 3.42, 
0.49, 2.41, 0.49, 3.42, 4.41, 1.91, 0.91, 1.41, 3.42, 0.49, 0.49, 
2.41, 0.49, 4.41, 2.41, 1.41, 0.91, 0.49, 0.49, 2.41, 4.41, 2.41, 
0.49, 3.42, 1.91, 2.92, 0.91, 0.49, 0.49, 0.49, 0.91, 3.92, 4.41, 
5.42, 2.41, 3.92, 3.92, 1.91, 1.41, 3.92, 4.41, 0.49, 0.49, 0.49, 
0.49, 1.91, 0.49, 6.42, 2.41, 1.41, 3.92, 2.92, 0.49, 2.41, 0.91, 
5.91, 1.91, 0.49, 1.91, 4.41, 2.92, 3.92, 6.91, 0.91, 1.41, 2.41, 
0.49, 2.41, 4.41, 2.92, 0.49, 0.91, 1.91, 1.41, 3.42, 1.41, 4.91, 
1.91, 5.42, 2.92, 4.41, 1.91, 1.91, 3.92, 3.92, 3.92, 0.49, 1.41, 
2.41, 2.41, 2.92, 2.41, 0.49, 3.42, 1.41, 1.91, 5.42, 4.41, 0.49, 
1.41, 4.91, 2.41, 5.42, 4.41, 0.91, 2.92, 0.49, 3.42, 0.91, 0.49, 
3.42, 0.91, 4.91, 1.91, 5.42, 0.49, 0.91, 5.91, 4.41, 1.41, 4.41, 
5.91), size = c(57.5, 9.5, 29.5, 0.5, 30.5, 44.5, 24.5, 2.5, 
3.5, 47.5, 4.5, 13.5, 4.5, 14.5, 27.5, 30.5, 27.5, 20.5, 23.5, 
50.5, 15.5, 2.5, 1.5, 13.5, 28.5, 50.5, 18.5, 4.5, 2.5, 54.5, 
48.5, 16.5, 45.5, 48.5, 34.5, 1.5, 35.5, 29.5, 47.5, 30.5, 49.5, 
55.5, 25.5, 58.5, 18.5, 15.5, 29.5, 50.5, 4.5, 13.5, 36.5, 5.5, 
54.5, 14.5, 55.5, 5.5, 47.5, 39.5, 38.5, 26.5, 26.5, 57.5, 45.5, 
50.5, 42.5, 40.5, 6.5, 17.5, 3.5, 24.5, 30.5, 33.5, 1.5, 16.5, 
33.5, 33.5, 23.5, 1.5, 40.5, 48.5, 25.5, 20.5, 1.5, 58.5, 52.5, 
46.5, 23.5, 22.5, 51.5, 20.5, 18.5, 48.5, 29.5, 7.5, 51.5, 48.5, 
49.5, 1.5, 4.5, 19.5, 28.5, 49.5, 5.5, 18.5, 3.5, 3.5, 40.5, 
2.5, 13.5, 53.5, 41.5, 39.5, 9.5, 0.5, 46.5, 58.5, 14.5, 42.5, 
1.5, 65.5, 12.5, 2.5, 38.5, 54.5, 55.5, 48.5, 48.5, 55.5, 1.5, 
47.5, 8.5, 46.5, 53.5, 23.5, 6.5, 12.5, 46.5, 3.5, 1.5, 34.5, 
4.5, 47.5, 34.5, 17.5, 16.5, 2.5, 11.5, 45.5, 56.5, 43.5, 3.5, 
48.5, 27.5, 35.5, 11.5, 1.5, 2.5, 8.5, 2.5, 48.5, 46.5, 54.5, 
33.5, 47.5, 54.5, 22.5, 16.5, 47.5, 57.5, 5.5, 1.5, 4.5, 2.5, 
23.5, 1.5, 57.5, 30.5, 29.5, 62.5, 45.5, 8.5, 36.5, 6.5, 48.5, 
26.5, 1.5, 15.5, 59.5, 33.5, 37.5, 61.5, 15.5, 21.5, 32.5, 1.5, 
24.5, 54.5, 37.5, 3.5, 18.5, 23.5, 25.5, 42.5, 14.5, 54.5, 27.5, 
58.5, 36.5, 54.5, 19.5, 26.5, 47.5, 52.5, 51.5, 1.5, 14.5, 25.5, 
38.5, 48.5, 42.5, 0.5, 41.5, 21.5, 25.5, 50.5, 55.5, 7.5, 23.5, 
52.5, 26.5, 55.5, 50.5, 18.5, 36.5, 1.5, 53.5, 8.5, 4.5, 53.5, 
18.5, 49.5, 21.5, 53.5, 8.5, 8.5, 59.5, 48.5, 16.5, 50.5, 38.5
)), .Names = c("age", "size"), row.names = c("3997", "991", "2163", 
"15", "2202", "2862", "1575", "293", "358", "2938", "798", "1289", 
"795", "1102", "1923", "1634", "2135", "1484", "1845", "3222", 
"1116", "278", "202", "1088", "2151", "3797", "1441", "439", 
"233", "3737", "3366", "1357", "3343", "2750", "2531", "157", 
"2026", "2169", "3355", "2204", "3377", "3499", "1597", "3527", 
"1433", "1114", "1980", "3396", "800", "1263", "2555", "821", 
"3747", "1308", "3306", "544", "3168", "2063", "2583", "1900", 
"1918", "3515", "3139", "3394", "2674", "2071", "565", "1415", 
"402", "1857", "1995", "2263", "130", "1360", "2267", "2511", 
"2085", "195", "2068", "2754", "1891", "1488", "726", "4003", 
"3261", "3149", "1824", "1209", "2787", "1480", "1710", "2980", 
"2158", "918", "3410", "2461", "2761", "191", "452", "1450", 
"1962", "3192", "519", "1179", "397", "429", "2632", "750", "1274", 
"3459", "2645", "2371", "671", "6", "3951", "3524", "1104", "2669", 
"167", "3949", "717", "234", "2054", "3295", "3826", "2752", 
"2979", "3083", "187", "2458", "647", "2933", "3466", "1828", 
"874", "1246", "2909", "324", "158", "2292", "501", "3358", "2289", 
"1418", "1140", "287", "709", "2432", "3512", "2407", "385", 
"2970", "1941", "2542", "1055", "207", "208", "653", "746", "3174", 
"3351", "3745", "2271", "3161", "3285", "1806", "1369", "3162", 
"3519", "527", "184", "441", "302", "1849", "117", "3922", "2195", 
"1628", "3333", "2716", "654", "2327", "837", "3791", "1911", 
"152", "1680", "3529", "2517", "3101", "4013", "1118", "1512", 
"2235", "188", "2091", "3483", "2576", "421", "1174", "1833", 
"1591", "2826", "1321", "3646", "1935", "3774", "2550", "3469", 
"1721", "1905", "3172", "3268", "3257", "177", "1305", "2105", 
"2349", "2757", "2400", "27", "2819", "1506", "1894", "3706", 
"3492", "623", "1546", "3613", "2123", "3753", "3387", "1177", 
"2561", "69", "3050", "940", "480", "3056", "1176", "3578", "1777", 
"3732", "659", "934", "3858", "3363", "1372", "3395", "3784"), class = "data.frame")
jverzani/UsingR documentation built on Aug. 3, 2020, 11:57 a.m.