possum <- structure(list(site = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L), pop = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("Vic", "other"), class = "factor"), sex = structure(c(2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L), .Label = c("f", "m"), class = "factor"), age = c(8L, 6L, 6L, 6L, 2L, 1L, 2L, 6L, 9L, 6L, 9L, 5L, 5L, 3L, 5L, 4L, 1L, 2L, 5L, 4L, 3L, 3L, 4L, 2L, 3L, 7L, 2L, 4L, 3L, 2L, 3L, 4L, 3L, 2L, 4L, 7L, 2L, 7L, 1L, 3L, 5L, 3L, 2L, NA, 3L, NA, 2L, 5L, 4L, 5L, 5L, 6L, 3L, 7L, 2L, 3L, 4L, 3L, 2L, 2L, 7L, 3L, 6L, 3L, 5L, 3L, 4L, 5L, 5L, 7L, 6L, 1L, 1L, 4L, 6L, 5L, 6L, 1L, 1L, 1L, 3L, 4L, 3L, 3L, 3L, 3L, 2L, 2L, 6L, 3L, 3L, 2L, 3L, 7L, 4L, 4L, 3L, 5L, 3L, 1L, 1L, 6L, 4L, 3L), head_l = c(94.099999999999994, 92.5, 94, 93.200000000000003, 91.5, 93.099999999999994, 95.299999999999997, 94.799999999999997, 93.400000000000006, 91.799999999999997, 93.299999999999997, 94.900000000000006, 95.099999999999994, 95.400000000000006, 92.900000000000006, 91.599999999999994, 94.700000000000003, 93.5, 94.400000000000006, 94.799999999999997, 95.900000000000006, 96.299999999999997, 92.5, 94.400000000000006, 95.799999999999997, 96, 90.5, 93.799999999999997, 92.799999999999997, 92.099999999999994, 92.799999999999997, 94.299999999999997, 91.400000000000006, 90.599999999999994, 94.400000000000006, 93.299999999999997, 89.299999999999997, 92.400000000000006, 84.700000000000003, 91, 88.400000000000006, 85.299999999999997, 90, 85.099999999999994, 90.700000000000003, 91.400000000000006, 90.099999999999994, 98.599999999999994, 95.400000000000006, 91.599999999999994, 95.599999999999994, 97.599999999999994, 93.099999999999994, 96.900000000000006, 103.09999999999999, 99.900000000000006, 95.099999999999994, 94.5, 102.5, 91.299999999999997, 95.700000000000003, 91.299999999999997, 92, 96.900000000000006, 93.5, 90.400000000000006, 93.299999999999997, 94.099999999999994, 98, 91.900000000000006, 92.799999999999997, 85.900000000000006, 82.5, 88.700000000000003, 93.799999999999997, 92.400000000000006, 93.599999999999994, 86.5, 85.799999999999997, 86.700000000000003, 90.599999999999994, 86, 90, 88.400000000000006, 89.5, 88.200000000000003, 98.5, 89.599999999999994, 97.700000000000003, 92.599999999999994, 97.799999999999997, 90.700000000000003, 89.200000000000003, 91.799999999999997, 91.599999999999994, 94.799999999999997, 91, 93.200000000000003, 93.299999999999997, 89.5, 88.599999999999994, 92.400000000000006, 91.5, 93.599999999999994), skull_w = c(60.399999999999999, 57.600000000000001, 60, 57.100000000000001, 56.299999999999997, 54.799999999999997, 58.200000000000003, 57.600000000000001, 56.299999999999997, 58, 57.200000000000003, 55.600000000000001, 59.899999999999999, 57.600000000000001, 57.600000000000001, 56, 67.700000000000003, 55.700000000000003, 55.399999999999999, 56.299999999999997, 58.100000000000001, 58.5, 56.100000000000001, 54.899999999999999, 58.5, 59, 54.5, 56.799999999999997, 56, 54.399999999999999, 54.100000000000001, 56.700000000000003, 54.600000000000001, 55.700000000000003, 57.899999999999999, 59.299999999999997, 54.799999999999997, 56, 51.5, 55, 57, 54.100000000000001, 55.5, 51.5, 55.899999999999999, 54.399999999999999, 54.799999999999997, 63.200000000000003, 59.200000000000003, 56.399999999999999, 59.600000000000001, 61, 58.100000000000001, 63, 63.200000000000003, 61.5, 59.399999999999999, 64.200000000000003, 62.799999999999997, 57.700000000000003, 59, 58, 56.399999999999999, 56.5, 57.399999999999999, 55.799999999999997, 57.600000000000001, 56, 55.600000000000001, 56.399999999999999, 57.600000000000001, 52.399999999999999, 52.299999999999997, 52, 58.100000000000001, 56.799999999999997, 56.200000000000003, 51, 50, 52.600000000000001, 56, 54, 53.799999999999997, 54.600000000000001, 56.200000000000003, 53.200000000000003, 60.700000000000003, 58, 58.399999999999999, 54.600000000000001, 59.600000000000001, 56.299999999999997, 54, 57.600000000000001, 56.600000000000001, 55.700000000000003, 53.100000000000001, 68.599999999999994, 56.200000000000003, 56, 54.700000000000003, 55, 55.200000000000003, 59.899999999999999 ), total_l = c(89, 91.5, 95.5, 92, 85.5, 90.5, 89.5, 91, 91.5, 89.5, 89.5, 92, 89.5, 91.5, 85.5, 86, 89.5, 90, 90.5, 89, 96.5, 91, 89, 84, 91.5, 90, 85, 87, 88, 84, 93, 94, 89, 85.5, 85, 88, 82.5, 80.5, 75, 84.5, 83, 77, 81, 76, 81, 84, 89, 85, 85, 88, 85, 93.5, 91, 91.5, 92.5, 93.700000000000003, 93, 91, 96, 88, 86, 90.5, 88.5, 89.5, 88.5, 86, 85, 88.5, 88, 87, 90, 80.5, 82, 83, 89, 89, 84, 81, 81, 84, 85.5, 82, 81.5, 80.5, 92, 86.5, 93, 87.5, 84.5, 85, 89, 85, 82, 84, 88.5, 83, 86, 84, 86.5, 81.5, 82.5, 89, 82.5, 89), tail_l = c(36, 36.5, 39, 38, 36, 35.5, 36, 37, 37, 37.5, 39, 35.5, 36, 36, 34, 34.5, 36.5, 36, 35, 38, 39.5, 39.5, 36, 34, 35.5, 36, 35, 34.5, 35, 33.5, 37, 39, 37, 36.5, 35.5, 35, 35, 35.5, 34, 36, 36.5, 32, 32, 35.5, 34, 35, 37.5, 34, 37, 38, 36, 40, 38, 43, 38, 38, 41, 39, 40, 39, 38, 39, 38, 38.5, 38, 36.5, 36.5, 38, 37.5, 38, 40, 35, 36.5, 38, 38, 41, 36, 36.5, 36.5, 38, 38, 36.5, 36, 36, 40.5, 38.5, 41.5, 38, 35, 38.5, 38, 37, 38, 35.5, 37.5, 38, 38, 35, 38.5, 36.5, 39, 38, 36.5, 40)), row.names = c(NA, -104L), class = c("tbl_df", "tbl", "data.frame"))