r - How should I use ezANOVA() if I already collapsed the data to cell means? -
i want repeated measures anova using ezanova() ez pacakge. experimental designs two-way repeated measures design: soa (which has 4 levels) x congruency (which has 3 levels), , data bellow organized according above order (i.e., soa x congruency), "subject" being id column. question how should use ezanova() if collapsed data cell means (the data bellow after collapsed dependent variables each subject according soa x congruency)?
subject mrt1 mrt2 mrt3 mrt4 mrt5 mrt6 mrt7 mrt8 mrt9 mrt10 mrt11 mrt12 99 1039.3 1078.1176 997.5323 873.4615 1024 916.2 1061.0909 1008.7778 919.7879 1053 1052.9615 953.619 5203 1020.4545 1098.6667 911.2642 941.25 944.2857 976.1053 949 992.4167 870.4308 783.9091 852.1176 927.8852 5205 1373.7273 1074.2143 986.7397 1193.4615 1031.9545 1108.4789 1041.2727 1036.0625 989.0714 1180.5 908.9688 944.2024 5306 1012.375 1038.8421 949.4938 1320 1213.5714 1003.3133 1027.3333 970.2778 922.3939 1102 971.4286 943.5634 5307 1397.8333 1243.4 1114 1038 1187.6 1046.2588 1121.4 1376.0833 1080.6615 1075.2727 1159.2381 1060.6818 5308 809.9091 1193.75 1061.2895 923.7647 1128.4286 959.5783 771 1499.25 998.875 925.8462 1074.4 1022.3418 5309 1185 1257.2857 1230.1 1231.8333 1167.4545 1197.2051 1332.4444 1323.9 1334.359 1331.6 1418.5714 1198.8378 5410 1093.7 1154.2778 991.0147 1238.3846 1040.4783 1010.2 1009.3636 1161.6 1016.0946 1140.25 1020.1481 986.5312 5511 881.8182 1082.2 752.5455 1119.2222 969.25 848.8602 958.9444 850.3448 805.75 860.3 902.1579 758.1875 5512 879 1039 951.9138 866.4545 1146.7 898.2841 988 1078.3214 911.4203 1365.7273 1179 924.4928 5513 1239.3333 1063.9565 1013.1111 1018.25 1244.5625 1091.0847 1031.6667 1035.2381 1035.8727 1013.25 1016.5238 1045.9444 5614 1151.5385 1044.4545 1050.5303 1046.2727 1116.1154 1037.9577 1080.7647 1192.1053 1054.9688 1100 995.625 1065.1408 5715 1432 1307.1765 1152.6087 1124.7778 1305.9091 1125.7792 1210.5 1268.7647 1167.8 1199.5 1137.0476 1115.8462 5716 996.7143 1355 1108.4231 1026.8 1251.4286 1108.3333 1130.2857 1196.5333 1071 919.4545 1183.4286 1040.9796 5817 1046.9 1075.8276 865.7534 1058.1818 1101.9259 877.2143 923.5 1063.25 880.44 1050.2 984.24 919.8913
any appreciated,
ayala
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