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  1. structure(list(subjectID = structure(c("ADL001", "ADL001", "ADL001",
  2. "ADL001", "ADL002", "ADL002", "ADL002", "ADL002", "ADL002", "ADL002",
  3. "ADL003", "ADL003", "ADL003", "ADL003", "ADL003", "ADL003", "ADL004",
  4. "ADL004", "ADL004", "ADL004", "ADL004", "ADL004", "ADL005", "ADL005",
  5. "ADL005", "ADL005", "ADL005", "ADL005", "ADL006", "ADL006", "ADL006",
  6. "ADL006", "ADL006", "ADL006", "ADL007", "ADL007", "ADL007", "ADL007",
  7. "ADL007", "ADL007", "ADL008", "ADL008", "ADL008", "ADL008", "ADL008",
  8. "ADL009", "ADL009", "ADL009", "ADL009", "ADL009", "ADL009", "ADL010",
  9. "ADL010", "ADL010", "ADL010", "ADL010", "ADL010", "ADL012", "ADL012",
  10. "ADL012", "ADL012", "ADL012", "ADL012", "ADL013", "ADL013", "ADL013",
  11. "ADL013", "ADL013", "ADL013", "ADL014", "ADL014", "ADL014", "ADL014",
  12. "ADL014", "ADL014", "ADL016", "ADL016", "ADL016", "ADL017", "ADL017",
  13. "ADL017", "ADL017", "ADL018", "ADL018", "ADL018", "ADL019", "ADL019",
  14. "ADL019", "ADL019", "ADL019", "ADL019", "ADL020", "ADL020", "ADL020",
  15. "ADL020", "ADL020", "ADL020"), format.sas = "$"), Diet = c("Ultraproc",
  16. "Ultraproc", "Ultraproc", "Unproc", "Ultraproc", "Ultraproc",
  17. "Ultraproc", "Unproc", "Unproc", "Unproc", "Ultraproc", "Ultraproc",
  18. "Ultraproc", "Unproc", "Unproc", "Unproc", "Ultraproc", "Ultraproc",
  19. "Ultraproc", "Unproc", "Unproc", "Unproc", "Ultraproc", "Ultraproc",
  20. "Ultraproc", "Unproc", "Unproc", "Unproc", "Ultraproc", "Ultraproc",
  21. "Ultraproc", "Unproc", "Unproc", "Unproc", "Ultraproc", "Ultraproc",
  22. "Ultraproc", "Unproc", "Unproc", "Unproc", "Ultraproc", "Ultraproc",
  23. "Unproc", "Unproc", "Unproc", "Ultraproc", "Ultraproc", "Ultraproc",
  24. "Unproc", "Unproc", "Unproc", "Ultraproc", "Ultraproc", "Ultraproc",
  25. "Unproc", "Unproc", "Unproc", "Ultraproc", "Ultraproc", "Ultraproc",
  26. "Unproc", "Unproc", "Unproc", "Ultraproc", "Ultraproc", "Ultraproc",
  27. "Unproc", "Unproc", "Unproc", "Ultraproc", "Ultraproc", "Ultraproc",
  28. "Unproc", "Unproc", "Unproc", "Ultraproc", "Ultraproc", "Ultraproc",
  29. "Ultraproc", "Ultraproc", "Ultraproc", "Unproc", "Unproc", "Unproc",
  30. "Unproc", "Ultraproc", "Ultraproc", "Ultraproc", "Unproc", "Unproc",
  31. "Unproc", "Ultraproc", "Ultraproc", "Ultraproc", "Unproc", "Unproc",
  32. "Unproc"), date = structure(c(17659, 17660, 17661, NA, 17659,
  33. 17660, 17661, 17673, 17674, 17679, 17677, 17678, 17680, 17691,
  34. 17692, 17695, 17687, 17688, 17689, 17673, 17674, 17675, 17710,
  35. 17711, 17712, 17695, 17696, 17698, 17703, 17705, 17708, 17717,
  36. 17718, 17719, 17690, 17691, 17694, 17704, 17705, 17708, 17731,
  37. 17733, 17745, 17746, 17747, 17744, 17745, 17746, 17730, 17731,
  38. 17733, 17738, 17739, 17740, 17723, 17724, 17729, 17766, 17770,
  39. 17771, 17750, 17751, 17752, 17751, 17752, 17753, 17770, 17771,
  40. 17772, 17775, 17778, 17779, 17758, 17759, 17760, 17816, 17816,
  41. 17818, 17806, 17807, 17808, 17821, 17807, 17808, 17809, 17785,
  42. 17786, 17787, 17800, 17801, 17802, 17800, 17801, 17802, 17785,
  43. 17786, 17787), class = "Date", format.sas = "DATE"), rep = structure(c("hs_1",
  44. "hs_2", "hs_3", "hs_2", "hs_1", "hs_2", "hs_3", "hs_1", "hs_2",
  45. "hs_3", "hs_1", "hs_2", "hs_3", "hs_1", "hs_2", "hs_3", "hs_1",
  46. "hs_2", "hs_3", "hs_1", "hs_2", "hs_3", "hs_1", "hs_2", "hs_3",
  47. "hs_1", "hs_2", "hs_3", "hs_1", "hs_2", "hs_3", "hs_1", "hs_2",
  48. "hs_3", "hs_1", "hs_2", "hs_3", "hs_1", "hs_2", "hs_3", "hs_1",
  49. "hs_2", "hs_1", "hs_2", "hs_3", "hs_1", "hs_2", "hs_3", "hs_1",
  50. "hs_2", "hs_3", "hs_1", "hs_2", "hs_3", "hs_1", "hs_2", "hs_3",
  51. "hs_1", "hs_2", "hs_3", "hs_1", "hs_2", "hs_3", "hs_1", "hs_2",
  52. "hs_3", "hs_1", "hs_2", "hs_3", "hs_1", "hs_2", "hs_3", "hs_1",
  53. "hs_2", "hs_3", "hs_1", "hs_2", "hs_3", "hs_1", "hs_2", "hs_3",
  54. "hs_1", "hs_1", "hs_2", "hs_3", "hs_1", "hs_2", "hs_3", "hs_1",
  55. "hs_2", "hs_3", "hs_1", "hs_2", "hs_3", "hs_1", "hs_2", "hs_3"
  56. ), label = "replicate"), HungryAve = structure(c(27.75, 41.5,
  57. 22, 9.66666666666667, 48.3636363636364, 48.8181818181818, 48.5454545454545,
  58. 45.4545454545455, 44.0909090909091, 51.2, 38.6363636363636, 40,
  59. 42.9090909090909, 44.5454545454545, 38.7272727272727, 40.5454545454545,
  60. 38.0909090909091, 34.0909090909091, 35.8181818181818, 35.6363636363636,
  61. 36.6363636363636, 36.2727272727273, 23.5454545454545, 15.1818181818182,
  62. 19.5454545454545, 14.6363636363636, 19.1818181818182, 10.0909090909091,
  63. 48, 51.0909090909091, 61.1428571428571, 34.3, 27.4, 30.7777777777778,
  64. 25.5454545454545, 26.4545454545455, 15.2727272727273, 25.4545454545455,
  65. 31, 34.2, 55.6363636363636, 33.6363636363636, 38.4, 26, 28.6363636363636,
  66. 35.4545454545455, 35.7777777777778, 30.6363636363636, 36.3636363636364,
  67. 41.9090909090909, 45, 40.0909090909091, 38.0909090909091, 43.8181818181818,
  68. 36.5454545454545, 51.6363636363636, 41.7272727272727, 46.2727272727273,
  69. 36.3636363636364, 47.0909090909091, 69.2727272727273, 63.8181818181818,
  70. 50.2727272727273, 30.5454545454545, 41.3636363636364, 40, 31.6363636363636,
  71. 34, 34.8181818181818, 21.0909090909091, 31.7272727272727, 66.0909090909091,
  72. 22.4545454545455, 66.9090909090909, 33.8181818181818, 41.4285714285714,
  73. 25.75, 32.8181818181818, 29.7272727272727, 27.9090909090909,
  74. 36, 47.1, 43.4545454545455, 46.6363636363636, 44.2727272727273,
  75. 9.2, 2.5, 33, 11.7272727272727, 24.1818181818182, 19.2727272727273,
  76. 38.3333333333333, 43, 27.0909090909091, 59.2222222222222, 61.1,
  77. 53.8888888888889), label = "average VAS for hungry"), SatisfiedAve = structure(c(22.5,
  78. 43.5, 44.1428571428571, 87.6666666666667, 51.2727272727273, 50.3636363636364,
  79. 49.2727272727273, 52.1818181818182, 55.2727272727273, 46.7, 58.6363636363636,
  80. 58.1818181818182, 55.0909090909091, 51, 59.6363636363636, 56.6363636363636,
  81. 55.4545454545455, 54.5454545454545, 63.6363636363636, 57.4545454545455,
  82. 55.5454545454545, 51.8181818181818, 82.4545454545455, 81.1818181818182,
  83. 80.5454545454545, 83.8181818181818, 76.3636363636364, 86.6363636363636,
  84. 60.3636363636364, 50.2727272727273, 44.5714285714286, 61.7, 64.8,
  85. 63.1111111111111, 49, 51.3636363636364, 59.7272727272727, 52.7272727272727,
  86. 53.2727272727273, 49.4, 40.1818181818182, 63.7272727272727, 57.4,
  87. 71.0909090909091, 63.8181818181818, 58.6363636363636, 57.8888888888889,
  88. 74.3636363636364, 58.6363636363636, 46.2727272727273, 37.3636363636364,
  89. 59.1818181818182, 54.4545454545455, 56.6363636363636, 49.2727272727273,
  90. 52.3636363636364, 43.2727272727273, 52.5454545454545, 57.2727272727273,
  91. 53, 21.4545454545455, 34, 48, 56.6363636363636, 47.4545454545455,
  92. 59.4545454545455, 57.1818181818182, 53.7272727272727, 53.0909090909091,
  93. 77.7272727272727, 70.9090909090909, 35.1818181818182, 73.6363636363636,
  94. 34.8181818181818, 61.6363636363636, 52, 64.5, 50.7272727272727,
  95. 62.2727272727273, 58.1818181818182, 56.6363636363636, 43.8, 53.0909090909091,
  96. 47.7272727272727, 54, 86.6, 94.8333333333333, 66, 89.7272727272727,
  97. 78.7272727272727, 87.4545454545455, 57.5, 49.75, 62.2727272727273,
  98. 29.1111111111111, 35.7, 41.7777777777778), label = "average of satisfied VAS"),
  99. FullnessAve = structure(c(52.5, 51.5, 72.1428571428571, 94.6666666666667,
  100. 51.7272727272727, 50.4545454545455, 50.1818181818182, 52.3636363636364,
  101. 55.6363636363636, 45.5, 54.8181818181818, 56.3636363636364,
  102. 54, 49.0909090909091, 58.8181818181818, 56.1818181818182,
  103. 50.4545454545455, 45.2727272727273, 63.4545454545455, 56.8181818181818,
  104. 53.4545454545455, 46.9090909090909, 78.1818181818182, 85.6363636363636,
  105. 81.2727272727273, 87.3636363636364, 76.6363636363636, 88.8181818181818,
  106. 60.1818181818182, 53.3636363636364, 43.2857142857143, 58,
  107. 59.4, 56.2222222222222, 49.0909090909091, 42, 61, 49.5454545454545,
  108. 54, 47.3, 36.0909090909091, 64.6363636363636, 59.6, 71, 60.7272727272727,
  109. 68.3636363636364, 61.6666666666667, 60.2727272727273, 67.9090909090909,
  110. 52.0909090909091, 50.0909090909091, 60.1818181818182, 56.8181818181818,
  111. 55.9090909090909, 57.5454545454545, 52.7272727272727, 38.8181818181818,
  112. 53.6363636363636, 57.9090909090909, 50.6363636363636, 24.0909090909091,
  113. 31.9090909090909, 48.6363636363636, 59.7272727272727, 49.8181818181818,
  114. 58.1818181818182, 58.8181818181818, 54.8181818181818, 56.5454545454545,
  115. 71.2727272727273, 66.7272727272727, 33.4545454545455, 74.7272727272727,
  116. 32.5454545454545, 66.5454545454545, 60.4285714285714, 61.75,
  117. 54.7272727272727, 60.8181818181818, 56.8181818181818, 48.7272727272727,
  118. 41.2, 56.6363636363636, 51.5454545454545, 51.1818181818182,
  119. 83.7, 94, 61.0909090909091, 90.2727272727273, 77.4545454545455,
  120. 83.5454545454545, 49.8333333333333, 41.625, 59, 24.6666666666667,
  121. 31.4, 35), label = "Average VAS for fullness"), EatingCapacityAve = structure(c(30.75,
  122. 50, 12.1428571428571, 11, 48.1818181818182, 49.2727272727273,
  123. 48.1818181818182, 48.6363636363636, 43.9090909090909, 52.8,
  124. 50.7272727272727, 44.8181818181818, 50.2727272727273, 63.3636363636364,
  125. 48.0909090909091, 45.9090909090909, 47.9090909090909, 47.9090909090909,
  126. 40, 49.7272727272727, 50.9090909090909, 45.5454545454545,
  127. 26.7272727272727, 21.5454545454545, 25, 25.4545454545455,
  128. 23.5454545454545, 16.2727272727273, 46.0909090909091, 43.5454545454545,
  129. 55.4285714285714, 36.3, 33.1, 37.2222222222222, 36.5454545454545,
  130. 40.2727272727273, 23, 28.1818181818182, 35.5454545454545,
  131. 47.5, 58.0909090909091, 50.3636363636364, 38.2, 38.2727272727273,
  132. 56.1818181818182, 44.2727272727273, 38.7777777777778, 43,
  133. 33.8181818181818, 46, 50.4545454545455, 41.1818181818182,
  134. 42.2727272727273, 44.9090909090909, 43.2727272727273, 44.7272727272727,
  135. 51.6363636363636, 48.0909090909091, 36.2727272727273, 47.6363636363636,
  136. 85.5454545454545, 75.0909090909091, 52.3636363636364, 36.9090909090909,
  137. 51.9090909090909, 42.4545454545455, 34.7272727272727, 37.7272727272727,
  138. 35.9090909090909, 31.1818181818182, 39.6363636363636, 68.6363636363636,
  139. 33.1818181818182, 69.5454545454545, 47.2727272727273, 47.5714285714286,
  140. 33.25, 49.7272727272727, 39.9090909090909, 45.8181818181818,
  141. 49.2727272727273, 59.7, 49.2727272727273, 49.9090909090909,
  142. 47.1818181818182, 5.8, 3.5, 43.0909090909091, 16.5454545454545,
  143. 30.7272727272727, 19.2727272727273, 42.5, 50.125, 39.5454545454545,
  144. 61, 63, 61.2222222222222), label = "average VAS for eating capacity"),
  145. EI = structure(c(2880.55, 3111.74, 2757.34, NA, 2713.9, 3294.15,
  146. 3031.12, 2468.77, 2071.33, 2528.44, 3397.33, 2731.24, 2403.7,
  147. 2524.57, 2727.87, 2563.48, 2979.61, 3117.42, 3117.28, 2665.26,
  148. 2545.94, 2664.36, 3172.68, 2133.31, 3201.84, 2728.35, 2906.82,
  149. 2185.59, 3137.88, 2651.58, 1999.09, 2149.8, 1920.07, 2060.68,
  150. 2273.73, 2398.16, 1709.25, 1859.78, 2274.01, 1470.56, 5285.19,
  151. 5641.93, 4002.17, 3911.13, 3292.56, 3269.14, 2484.08, 3151.46,
  152. 2065.89, 2318.57, 1300.98, 5160.35, 4274.66, 4938.86, 4047.31,
  153. 3772.75, 3670.4, 1493.33, 1517.31, 2107.27, 1444.76, 1185.74,
  154. 1800.19, 3618.91, 3811.87, 4172.88, 3369.54, 3401.08, 3223.02,
  155. 2280.9, 1841, 2153.44, 2145.25, 1756.56, 2127.57, 2247.17,
  156. 2247.17, 2096.67, 2561.12, 2692.94, 2799.78, 2356.92, 2788.38,
  157. 2313.97, 2943.48, 2300.76, 2965.4, 2334.21, 2813.31, 2414.14,
  158. 3209.32, 1295.26, 1449.05, 2166.89, 865.36, 1069.2, 1083.25
  159. ), label = "energy intake on the day, Kcal/d")), row.names = c(NA,
  160. -97L), class = "data.frame")
  161.  
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