R 重新排列眼球跟踪数据
我有一个眼睛跟踪数据文件，我需要转换。让我解释一下，我的数据格式如下：R 重新排列眼球跟踪数据,r,R,我有一个眼睛跟踪数据文件，我需要转换。让我解释一下，我的数据格式如下： Event; Info; Pupil size Message; Start_trial_0; Fixation; L; 1020 Fixation; L; 1200 Fixation; L; 980 Fixation; L; 990 Fixation; L; 1003 Message; Trial_0; Message; ACC_1; Message; RT_850; Message; Stop_trial_0; Mes
Event; Info; Pupil size
Message; Start_trial_0;
Fixation; L; 1020
Fixation; L; 1200
Fixation; L; 980
Fixation; L; 990
Fixation; L; 1003
Message; Trial_0;
Message; ACC_1;
Message; RT_850;
Message; Stop_trial_0;
Message; Start_trial_1;
Fixation; L; 1023
Fixation; L; 1020
Fixation; L; 997
Fixation; L; 1123
Message; Trial_1;
Message; ACC_1;
Message; RT_920;
Message; Stop_trial_1;
Message; Strat_trial_2;
...
Trial_0; ACC_0; RT_850; Fixation; L; 1020
Trial_0; ACC_0; RT_850; Fixation; L; 1200
Trial_0; ACC_0; RT_850; Fixation; L; 980
Trial_0; ACC_0; RT_850; Fixation; L; 990
Trial_0; ACC_0; RT_850; Fixation; L; 1003
Trial_1; ACC_1; RT_920; Fixation; L; 1023
Trial_1; ACC_1; RT_920; Fixation; L; 1020
Trial_1; ACC_1; RT_920; Fixation; L; 997
Trial_1; ACC_1; RT_920; Fixation; L; 1123
...
Jibs.通常的方法是将您的行拆分为所有相同测试的bucket，然后取出元数据和数据行，并将它们制作成一个数据帧（假设这是您最终想要的） 在这里，我们对字符串进行两次子集：首先，我们得到所有
消息行（但不是开始*
/停止*
行），然后我们得到所有非消息行
对于消息，我们去掉了“Message；”，剩下的是元数据值（向量为“Trial\u 0；”、“ACC\u 1；”、…
等）。然后，您可以将所有这些内容重新组合到一个元数据行中：“Trial\u 0；ACC\u 1；RT\u 850；”
- 此时，如果消息全部为空（如header和partial-trial），我们只返回
NULL
对于观察结果，我们只是照原样处理。然后，我们将信息和观察结果放在一起，在每条观察线前重复信息
要使用此函数，我们首先将所有行从上面拆分为组，然后在每组字符串上映射函数unlist
将它从一个向量列表中提取到一个向量，然后str_split（…，“；”，simplify=T）
将它分解为一个包含列的字符矩阵。最后，as.data.frame
使其成为一个数据帧
注意事项：
如果您的元数据并非总是按照“试用”、“ACC”、“RT”的顺序排列，那么您可能需要专门提取这些元数据。您可以使用与我用于消息的代码模式相同的代码模式
，但每个消息都可以单独使用。然后您可以确保它们存在并且顺序正确。为您的问题提供了完美的解决方法。我的方法略有不同，但结果相似。为了完成和/或多样性，我将发布它
我的想法如下：
首先读取文件并将其传递到数据帧df
library(dplyr) # load the libraries we are going to be using first
library(tidyr)
library(zoo)
df <- read.csv('~/Desktop/test', sep = ';', header = T) # I named your .txt file test here and put it on my Desktop
>df
Event Info Pupil.size
1 Message Start_trial_0 NA
2 Fixation L 1020
3 Fixation L 1200
4 Fixation L 980
5 Fixation L 990
6 Fixation L 1003
7 Message Trial_0 NA
8 Message ACC_0 NA
9 Message RT_850 NA
10 Message Stop_trial_0 NA
11 Message Start_trial_1 NA
12 Fixation L 1023
13 Fixation L 1020
14 Fixation L 997
15 Fixation L 1123
16 Message Trial_1 NA
17 Message ACC_1 NA
18 Message RT_920 NA
19 Message Stop_trial_1 NA
20 Message Strat_trial_2 NA
选项2（新的输入文件-请记住，这会保留您可能想要删除的中间试验数据）：
现在，我们可以在Info列中删除带有试用版“metadata”的行
df <- df %>% filter(!grepl('[T,t]rial', df$Info))
然后，只需将我们的df和两个新的数据帧连接起来，以获取ACC和RT信息，删除额外的列和剩余的行（消息行）
df%select（-ACC，-RT）%%>%filter（！Event=='Message'）
然后用修正列名来结束这一切
colnames(df) <- c('Event', 'Info', 'Pupil.size', 'Trial', 'ACC', 'RT')
> df
Event Info Pupil.size Trial ACC RT
1 Fixation L 1020 trial_0 ACC_0 RT_850
2 Fixation L 1200 trial_0 ACC_0 RT_850
3 Fixation L 980 trial_0 ACC_0 RT_850
4 Fixation L 990 trial_0 ACC_0 RT_850
5 Fixation L 1003 trial_0 ACC_0 RT_850
6 Fixation L 1023 trial_1 ACC_1 RT_920
7 Fixation L 1020 trial_1 ACC_1 RT_920
8 Fixation L 997 trial_1 ACC_1 RT_920
9 Fixation L 1123 trial_1 ACC_1 RT_920
colnames（df）df
事件信息瞳孔大小试验ACC RT
1固定L1020试验根据RT 850
2固定L1200试验根据RTU 850
3固定L980试验依据RT 850
4固定L990试验依据RT 850
5固定L1003试验根据RT 850
6固定L1023试验1附件1 RT 920
7固定L1020试验依据1 RT 920
8固定L997试验1附件1 RT 920
9固定L1123试验1附件1 RT 920
您现在可以将其保存为新的.csv，或将其保留为数据帧，以便在R中进行进一步操作
我承认这是一个有点复杂的解决方案，但我想提供我的思考过程，希望向你们展示，有很多方法可以用R来解决你们的问题，你们可以逐步解决你们的问题
希望这有帮助@Brian这是我的数据集示例：
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
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1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,
2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,
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2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("EFI",
"MSG"), class = "factor"), Info = structure(c(127L, 51L, 51L,
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3L, 113L, 7L, 217L, 204L, 160L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 16L, 78L, 220L, 2L, 104L, 7L, 216L, 205L, 161L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 17L, 79L, 219L,
3L, 109L, 7L, 216L, 206L, 163L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 23L, 54L, 219L, 3L, 105L, 7L, 216L, 208L, 51L, 164L,
51L, 51L, 51L, 51L, 51L, 24L, 54L, 220L, 3L, 92L, 7L, 217L, 209L,
165L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 47L, 70L,
220L, 3L, 87L, 7L, 217L, 210L, 166L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L), .Label = c("36=32mod4", "correct_0",
"correct_1", "difficulty_Easy", "difficulty_Hard", "difficulty_Intermediate",
"difficulty_Very", "id_1058", "id_10975", "id_11207", "id_1129",
"id_12052", "id_12069", "id_12131", "id_12453", "id_13285", "id_13741",
"id_13817", "id_14467", "id_14596", "id_14907", "id_15262", "id_1544",
"id_1555", "id_15661", "id_15684", "id_15693", "id_1685", "id_2295",
"id_2479", "id_2820", "id_313", "id_3645", "id_3985", "id_4333",
"id_4541", "id_5249", "id_5426", "id_5684", "id_5756", "id_6016",
"id_6326", "id_7019", "id_7064", "id_7885", "id_8660", "id_8728",
"id_9028", "id_9263", "id_9419", "L", "modulo_26", "modulo_36",
"modulo_40", "modulo_42", "modulo_46", "modulo_47", "modulo_50",
"modulo_55", "modulo_57", "modulo_58", "modulo_59", "modulo_63",
"modulo_64", "modulo_65", "modulo_66", "modulo_68", "modulo_71",
"modulo_74", "modulo_77", "modulo_78", "modulo_79", "modulo_80",
"modulo_85", "modulo_86", "modulo_89", "modulo_90", "modulo_93",
"modulo_94", "modulo_96", "modulo_97", "modulo_98", "modulo_99",
"RT_10590", "RT_1367", "RT_14182", "RT_15412", "RT_1550", "RT_17151",
"RT_17302", "RT_1736", "RT_1891", "RT_2002", "RT_2227", "RT_2241",
"RT_2432", "RT_2510", "RT_2624", "RT_2660", "RT_2840", "RT_2956",
"RT_2984", "RT_3029", "RT_3154", "RT_3273", "RT_3283", "RT_3727",
"RT_3900", "RT_4493", "RT_4544", "RT_4840", "RT_5095", "RT_5368",
"RT_5583", "RT_5618", "RT_6009", "RT_6385", "RT_6423", "RT_6489",
"RT_6689", "RT_7471", "RT_7669", "RT_7697", "RT_8156", "RT_8752",
"RT_8784", "start_consigne", "start_trial_0", "start_trial_1",
"start_trial_10", "start_trial_11", "start_trial_12", "start_trial_13",
"start_trial_14", "start_trial_15", "start_trial_16", "start_trial_17",
"start_trial_18", "start_trial_19", "start_trial_2", "start_trial_20",
"start_trial_21", "start_trial_22", "start_trial_23", "start_trial_24",
"start_trial_25", "start_trial_26", "start_trial_27", "start_trial_28",
"start_trial_29", "start_trial_3", "start_trial_30", "start_trial_31",
"start_trial_32", "start_trial_33", "start_trial_34", "start_trial_35",
"start_trial_36", "start_trial_37", "start_trial_38", "start_trial_39",
"start_trial_4", "start_trial_40", "start_trial_41", "start_trial_42",
"start_trial_43", "start_trial_5", "start_trial_6", "start_trial_7",
"start_trial_8", "start_trial_9", "stop_consigne", "stop_trial_0",
"stop_trial_1", "stop_trial_10", "stop_trial_11", "stop_trial_12",
"stop_trial_13", "stop_trial_14", "stop_trial_15", "stop_trial_16",
"stop_trial_17", "stop_trial_18", "stop_trial_19", "stop_trial_2",
"stop_trial_20", "stop_trial_21", "stop_trial_22", "stop_trial_23",
"stop_trial_24", "stop_trial_25", "stop_trial_26", "stop_trial_27",
"stop_trial_28", "stop_trial_29", "stop_trial_3", "stop_trial_30",
"stop_trial_31", "stop_trial_32", "stop_trial_33", "stop_trial_34",
"stop_trial_35", "stop_trial_36", "stop_trial_37", "stop_trial_38",
"stop_trial_39", "stop_trial_4", "stop_trial_40", "stop_trial_41",
"stop_trial_42", "stop_trial_5", "stop_trial_6", "stop_trial_7",
"stop_trial_8", "stop_trial_9", "strat_1", "strat_2", "strat_4",
"val_0", "val_1"), class = "factor"), PS = c(NA, 904L, 906L,
838L, 805L, 789L, 797L, 876L, 924L, 928L, 964L, 957L, 935L, 861L,
834L, 856L, 846L, 811L, 825L, 869L, 904L, 936L, 969L, 965L, 1016L,
1018L, 1030L, 1015L, 999L, 987L, 1017L, 1064L, 1080L, 1061L,
1075L, 1046L, 1005L, 1014L, 1023L, 1040L, 1051L, 1046L, 1010L,
971L, 994L, 1071L, 1082L, 1120L, 1119L, 1044L, 1023L, 978L, 947L,
925L, 900L, 940L, NA, 963L, NA, 995L, 1013L, 1046L, 1005L, 1013L,
1043L, 1146L, 1205L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1306L,
1334L, 1285L, 1297L, 1257L, 1206L, 1206L, 1256L, 1252L, 1189L,
1254L, 1214L, 1203L, 1207L, 1263L, 1224L, 1235L, 1258L, 1210L,
1186L, 1201L, 1271L, 1246L, 1274L, 1337L, 1325L, 1551L, 1733L,
1812L, 1568L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1272L, 1218L,
1227L, 1165L, 1145L, 1192L, 1199L, 1208L, 1248L, 1280L, 1224L,
NA, NA, NA, NA, NA, NA, NA, NA, 1220L, NA, 1229L, 1250L, 1372L,
1102L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1141L, 1163L, 1146L,
1129L, 1190L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1182L, 1152L,
1134L, 1179L, 1178L, 1267L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1272L, 1186L, 1164L, 1173L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1265L, 1191L, 1109L, 1150L, 1125L, 1090L, 1139L, 1205L, NA, NA,
NA, NA, NA, NA, NA, NA, NA, 1277L, 1164L, 1122L, 1113L, 1115L,
1121L, 1168L, NA, NA, NA, NA, NA, NA, NA, NA, 1235L, NA, 1207L,
1164L, 1145L, 1177L, 1242L, 1224L, 1281L, NA, NA, NA, NA, NA,
NA, NA, NA, NA, 1234L, 1232L, 1204L, 1198L, 1108L, 1131L, 1220L,
1228L, 1227L, 1231L, 1299L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1211L, 1266L, 1294L, 1292L, 1129L, 1182L, 1175L, 1211L, 1233L,
1206L, 1185L, 1307L, 1209L, 1206L, NA, NA, NA, NA, NA, NA, NA,
NA, NA, 1245L, 1264L, 1283L, 1246L, 1290L, 1344L, 1311L, 1267L,
1201L, 1188L, 1164L, 1218L, 1188L, 1156L, 1144L, 1121L, 1145L,
1176L, 1155L, 1103L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1173L,
1223L, 1218L, 1170L, 1120L, 1084L, 1096L, 1092L, 985L, NA, NA,
NA, NA, NA, NA, NA, NA, NA, 1043L, 1092L, 1090L, 1126L, 1099L,
1125L, 1175L, 1099L, 1102L, 1188L, 1215L, 1225L, 1197L, 1268L,
NA, NA, NA, NA, NA, NA, NA, NA, NA, 1292L, 1338L, 1322L, 1284L,
1296L, 1273L, 1251L, 1216L, 1205L, 1200L, 1165L, 1097L, 1132L,
1209L, 1243L, 1295L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1288L,
1286L, 1243L, 1245L, 1215L, 1213L, 1215L, 1283L, 1280L, 1275L,
1334L, 1301L, 1205L, 1215L, 1267L, 1245L, 1203L, 1071L, 1113L,
1160L, 1211L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1243L, 1249L,
1268L, 1266L, 1299L, 1363L, 1215L, NA, NA, NA, NA, NA, NA, NA,
NA, NA, 938L, 831L, 929L, 999L, 1033L, 1090L, 1092L, 1094L, 1139L,
1144L, 1225L, 1203L, 1199L, 1261L, 1221L, 1230L, NA, NA, NA,
NA, NA, NA, NA, NA, NA, 1291L, 1308L, 1270L, 1250L, 1276L, 1226L,
1197L, 1201L, 1213L, 1195L, 1202L, 1201L, 1194L, 1192L, 1190L,
1206L, 1244L, 1203L, 1228L, 1239L, 1218L, 1218L, 1217L, 1218L,
1202L, 1224L, 1177L, 1134L, 1134L, 1152L, 1159L, 1162L, 1168L,
1107L, 1175L, 1200L, 1173L, 1203L, NA, NA, NA, NA, NA, NA, NA,
NA, NA, 1266L, 1278L, 1227L, 1188L, 1184L, 1178L, 1167L, 1194L,
1131L, 1166L, 1203L, 1211L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1223L, 1226L, 1218L, 1208L, 1142L, 1105L, 1122L, 1156L, NA, NA,
NA, NA, NA, NA, NA, NA, NA, 1118L, 1133L, 1150L, 1115L, 1070L,
1078L, 1145L, 1156L, 1175L, 1172L, 1129L, 1134L, 1089L, 1144L,
1171L, 1179L, 1195L, 1194L, 1231L, 1275L, 1250L, 1273L, 1268L,
1221L, 1245L, 1211L, 1195L, 1197L, 1194L, 1140L, 1168L, 1220L,
1197L, 1191L, 1240L, 1288L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1339L, 1327L, 1324L, 1320L, 1242L, 1231L, 1253L, 1255L, 1268L,
NA, NA, NA, NA, NA, NA, NA, NA, NA, 1297L, 1303L, 1282L, 1252L,
1200L, 1202L, 1191L, 1177L, 1220L, NA, NA, NA, NA, NA, NA, NA,
NA, NA, 1221L, 1224L, 1203L, 1162L, 1175L, 1187L, 1184L, 1165L,
NA, NA, NA, NA, NA, NA, NA, NA, NA, 1200L, 1225L, 1200L, 1205L,
1219L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1269L, 1209L, 1161L,
1171L, 1165L, 1140L, 1120L, 1127L, 1076L, 1081L, 1081L, 1114L,
NA, NA, NA, NA, NA, NA, NA, NA, NA, 1181L, 1186L, 1189L, 1200L,
1179L, 1186L, 1171L, 1134L, 1012L, 1004L, 1134L, 1090L, 1146L,
1222L, 1309L, 1334L, 1354L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1240L, 1121L, 1101L, 1104L, 1142L, 1157L, NA, NA, NA, NA, NA,
NA, NA, NA, NA, 1197L, 1264L, 1217L, 1181L, 1173L, 1160L, 1147L,
1174L, 1188L, 1183L, 1162L, 1188L, 1273L, NA, NA, NA, NA, NA,
NA, NA, NA, NA, 1303L, 1335L, 1346L, 1284L, 1227L, 1245L, 1295L,
1291L, 1284L, 1125L, 1176L, 1214L, 1206L, 1216L, 1232L, 1234L,
1268L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1326L, 1284L, 1265L,
1237L, 1206L, 1212L, 1197L, 1181L, 1216L, 1222L, 1205L, 1148L,
1163L, 1154L, 1138L, 1146L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1250L, 1229L, 1209L, 1199L, 1165L, 1191L, 1145L, 1130L, 1116L,
NA, NA, NA, NA, NA, NA, NA, NA, 1101L, NA, 1113L, 1126L, 1138L,
1160L, 1128L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1155L, 1132L,
1122L, 1146L, 1145L, 1146L, 1171L, 1103L, 1170L, 1136L, 1177L,
1108L, 1106L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1175L, 1192L,
1129L, 1163L, 1187L, 1177L, 1162L, 1184L, 1129L, NA, NA, NA,
NA, NA, NA, NA, NA, NA, 1221L, 1113L, 1089L, 1099L, 1022L, 995L,
947L, 1012L, 1065L, 1114L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1163L, 1094L, 1098L, 1139L, 1130L, 1117L, 1087L, 1084L, NA, NA,
NA, NA, NA, NA, NA, NA, NA, 1137L, 1145L, 1130L, 1105L, 1123L,
1112L, 1048L, 1055L, 1078L, 1147L, NA, NA, NA, NA, NA, NA, NA,
NA, NA, 1207L, 1164L, 1169L, 1188L, 1189L, 1140L, 1099L, 1178L,
NA, NA, NA, NA, NA, NA, NA, NA, 1208L, NA, 1258L, 1207L, 1158L,
1140L, 1099L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1123L, 1083L,
1043L, 1066L, 1082L, 1049L, 1040L, 1090L, 1112L, 1069L, 1079L,
1061L, 1029L, 1032L, 1046L, 1170L, 1197L, 956L, 941L, 1076L,
1136L, 1208L, 1213L, 1207L, 1186L, 1225L, 1222L, 1232L, 1169L,
1102L, 1144L, 1178L, 1218L, 1211L, 1229L, NA, NA, NA, NA, NA,
NA, NA, NA, NA, 1255L, 1260L, 1236L, 1271L, 1312L, 1346L, 1272L,
1171L, 1192L, 1235L, 1296L), Modulo = 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, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 4L, 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, 13L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 19L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 44L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 9L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 14L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 26L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 43L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 8L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 27L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 39L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 42L, 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, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
18L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 29L, 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, 7L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 10L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 23L, 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, 24L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 15L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 17L, 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, 40L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 41L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 11L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
22L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 28L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 30L, 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, 16L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 33L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 34L, 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,
37L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 12L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 20L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 21L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 38L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 31L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 32L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 35L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 36L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 5L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 6L, 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, 25L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L), .Label = c(" ", "26=12mod6", "36=16mod4", "36=32mod4",
"40=33mod8", "40=36mod2", "42=12mod6", "46=34mod6", "47=44mod2",
"50=20mod4", "55=20mod4", "57=15mod6", "58=52mod4", "59=57mod2",
"63=33mod4", "64=24mod8", "65=35mod6", "65=51mod6", "66=61mod6",
"68=26mod6", "71=21mod6", "71=31mod4", "74=53mod8", "77=53mod4",
"77=69mod2", "78=75mod4", "79=67mod6", "80=40mod4", "85=65mod4",
"86=50mod8", "89=32mod2", "89=35mod2", "89=49mod4", "90=50mod6",
"93=13mod8", "94=43mod4", "94=61mod4", "96=54mod4", "96=82mod6",
"97=75mod2", "98=76mod2", "99=85mod8", "99=91mod8", "99=93mod6"
), class = "factor")), class = "data.frame", row.names = c(NA,
-997L))
1 MSG start_consigne NA
2 EFI L 904
3 EFI L 906
4 EFI L 838
5 EFI L 805
6 EFI L 789
7 EFI L 797
8 EFI L 876
9 EFI L 924
10 EFI L 928
11 EFI L 964
12 EFI L 957
13 EFI L 935
14 EFI L 861
15 EFI L 834
16 EFI L 856
17 EFI L 846
18 EFI L 811
19 EFI L 825
20 EFI L 869
21 EFI L 904
22 EFI L 936
23 EFI L 969
24 EFI L 965
25 EFI L 1016
26 EFI L 1018
27 EFI L 1030
28 EFI L 1015
29 EFI L 999
30 EFI L 987
31 EFI L 1017
32 EFI L 1064
33 EFI L 1080
34 EFI L 1061
35 EFI L 1075
36 EFI L 1046
37 EFI L 1005
38 EFI L 1014
39 EFI L 1023
40 EFI L 1040
41 EFI L 1051
42 EFI L 1046
43 EFI L 1010
44 EFI L 971
45 EFI L 994
46 EFI L 1071
47 EFI L 1082
48 EFI L 1120
49 EFI L 1119
50 EFI L 1044
51 EFI L 1023
52 EFI L 978
53 EFI L 947
54 EFI L 925
55 EFI L 900
56 EFI L 940
57 MSG stop_consigne NA
58 EFI L 963
59 MSG start_trial_0 NA
60 EFI L 995
61 EFI L 1013
62 EFI L 1046
63 EFI L 1005
64 EFI L 1013
65 EFI L 1043
66 EFI L 1146
67 EFI L 1205
68 MSG id_1129 NA
69 MSG 36=32mod4 NA 36=32mod4
70 MSG val_1 NA
71 MSG correct_1 NA
72 MSG RT_2241 NA
73 MSG difficulty_Very NA
74 MSG strat_4 NA
75 MSG stop_trial_0 NA
76 MSG start_trial_1 NA
77 EFI L 1306
78 EFI L 1334
79 EFI L 1285
80 EFI L 1297
81 EFI L 1257
82 EFI L 1206
83 EFI L 1206
84 EFI L 1256
85 EFI L 1252
86 EFI L 1189
87 EFI L 1254
88 EFI L 1214
89 EFI L 1203
90 EFI L 1207
91 EFI L 1263
92 EFI L 1224
93 EFI L 1235
94 EFI L 1258
95 EFI L 1210
96 EFI L 1186
97 EFI L 1201
98 EFI L 1271
99 EFI L 1246
100 EFI L 1274
101 EFI L 1337
102 EFI L 1325
103 EFI L 1551
104 EFI L 1733
105 EFI L 1812
106 EFI L 1568
107 MSG id_4333 NA
108 MSG modulo_58 NA 58=52mod4
109 MSG val_0 NA
110 MSG correct_1 NA
111 MSG RT_14182 NA
112 MSG difficulty_Very NA
113 MSG strat_4 NA
114 MSG stop_trial_1 NA
115 MSG start_trial_2 NA
116 EFI L 1272
117 EFI L 1218
118 EFI L 1227
119 EFI L 1165
120 EFI L 1145
121 EFI L 1192
122 EFI L 1199
123 EFI L 1208
124 EFI L 1248
125 EFI L 1280
126 EFI L 1224
127 MSG id_6016 NA
128 MSG modulo_66 NA 66=61mod6
129 MSG val_0 NA
130 MSG correct_1 NA
131 MSG RT_3727 NA
132 MSG difficulty_Very NA
133 MSG strat_1 NA
134 MSG stop_trial_2 NA
135 EFI L 1220
136 MSG start_trial_3 NA
137 EFI L 1229
138 EFI L 1250
139 EFI L 1372
140 EFI L 1102
141 MSG id_15693 NA
142 MSG modulo_99 NA 99=93mod6
143 MSG val_1 NA
144 MSG correct_1 NA
145 MSG RT_2624 NA
146 MSG difficulty_Very NA
147 MSG strat_1 NA
148 MSG stop_trial_3 NA
149 MSG start_trial_4 NA````
这是一个相当复杂的数据争用过程。你是否每次试验只有一个ACC代码和一个RT代码，或者它们可以是多个？是的，这非常复杂，远远超出了我在R。。。是的，我每个试验只有一个ACC和一个RT代码，因为它代表了这个试验的准确性和反应时间。我有一个2000赫兹的眼动跟踪器，这就是为什么我有这么大的文件。非常感谢Brian，这看起来是一个很好的解决方案，问题是我正在努力完成第一步，Stru-split和str-detect返回我一个错误：“参数不是原子向量：强制”我的第一行代码是：S1_data@Jibs我想说不要使用read.csv
。您需要将行作为字符串读入，以便自己拆分它们。尝试readLines
（然后您可以跳过“\n”
）上的拆分。我有点困惑，你是如何从原始数据中选择多个列（1-6,9），而这些列似乎只有3个。哦，好的。我想这可能是一个问题，在读取每一行作为一个向量，但不知道如何解决这个问题。对于多列选择，它来自一个旧版本，我也保持了眼睛的位置。现在我只想要学生的尺寸。嗨，布莱恩，希望你还在里面。readlines比read.csv工作得更好。您是对的。我现在对最后一个拆分函数有一个问题。它返回一条错误消息：警告消息：在split.default（eye_line，eye_start）中：数据长度不是split variable的倍数实际上我不知道如何处理eye_line Hi Steve，非常感谢您的回复。这也是一个很好的解决方案。它一开始很好，但是当用na.locf替换NAs时，它给我带来了一个错误；替换有939行，数据有997行。我想我已经发现了问题所在。在我的数据中，我有一些试验间的瞳孔大小测量。因此，NAs bteween每次试验都可能存在问题。我不知道如何解决这个问题。我明白你的意思。这些行可能有什么显著的特征吗？像M
library(dplyr) # load the libraries we are going to be using first
library(tidyr)
library(zoo)
df <- read.csv('~/Desktop/test', sep = ';', header = T) # I named your .txt file test here and put it on my Desktop
>df
Event Info Pupil.size
1 Message Start_trial_0 NA
2 Fixation L 1020
3 Fixation L 1200
4 Fixation L 980
5 Fixation L 990
6 Fixation L 1003
7 Message Trial_0 NA
8 Message ACC_0 NA
9 Message RT_850 NA
10 Message Stop_trial_0 NA
11 Message Start_trial_1 NA
12 Fixation L 1023
13 Fixation L 1020
14 Fixation L 997
15 Fixation L 1123
16 Message Trial_1 NA
17 Message ACC_1 NA
18 Message RT_920 NA
19 Message Stop_trial_1 NA
20 Message Strat_trial_2 NA
df <- df %>% mutate(trial=ifelse(Event=='Message'&grepl('trial', df$Info), gsub('.*_(trial_\\d)$', '\\1', df$Info), NA))
Event Info Pupil.size trial
1 Message Start_trial_0 NA trial_0
2 Fixation L 1020 <NA>
3 Fixation L 1200 <NA>
4 Fixation L 980 <NA>
5 Fixation L 990 <NA>
6 Fixation L 1003 <NA>
7 Message Trial_0 NA <NA>
8 Message ACC_0 NA <NA>
9 Message RT_850 NA <NA>
10 Message Stop_trial_0 NA trial_0
11 Message Start_trial_1 NA trial_1
12 Fixation L 1023 <NA>
13 Fixation L 1020 <NA>
14 Fixation L 997 <NA>
15 Fixation L 1123 <NA>
16 Message Trial_1 NA <NA>
17 Message ACC_1 NA <NA>
18 Message RT_920 NA <NA>
19 Message Stop_trial_1 NA trial_1
20 Message Strat_trial_2 NA trial_2
df <- df %>% mutate(trial=ifelse(Event=='MSG'&grepl('trial', df$Info), gsub('.*_(trial_\\d)$', '\\1', df$Info),
ifelse(Event=='MSG'&grepl('consigne', df$Info), gsub('.*_(consigne)$', '\\1', df$Info),
NA)))
df$trial <- na.locf(df$trial)
> df
Event Info Pupil.size trial
1 Message Start_trial_0 NA trial_0
2 Fixation L 1020 trial_0
3 Fixation L 1200 trial_0
4 Fixation L 980 trial_0
5 Fixation L 990 trial_0
6 Fixation L 1003 trial_0
7 Message Trial_0 NA trial_0
8 Message ACC_0 NA trial_0
9 Message RT_850 NA trial_0
10 Message Stop_trial_0 NA trial_0
11 Message Start_trial_1 NA trial_1
12 Fixation L 1023 trial_1
13 Fixation L 1020 trial_1
14 Fixation L 997 trial_1
15 Fixation L 1123 trial_1
16 Message Trial_1 NA trial_1
17 Message ACC_1 NA trial_1
18 Message RT_920 NA trial_1
19 Message Stop_trial_1 NA trial_1
20 Message Strat_trial_2 NA trial_2
df <- df %>% filter(!grepl('[T,t]rial', df$Info))
df <- df %>% mutate(ACC=ifelse(grepl('ACC', df$Info), as.character(df$Info), NA),
RT=ifelse(grepl('RT', df$Info), as.character(df$Info), NA))
> df
Event Info Pupil.size trial ACC RT
1 Fixation L 1020 trial_0 <NA> <NA>
2 Fixation L 1200 trial_0 <NA> <NA>
3 Fixation L 980 trial_0 <NA> <NA>
4 Fixation L 990 trial_0 <NA> <NA>
5 Fixation L 1003 trial_0 <NA> <NA>
6 Message ACC_0 NA trial_0 ACC_0 <NA>
7 Message RT_850 NA trial_0 <NA> RT_850
8 Fixation L 1023 trial_1 <NA> <NA>
9 Fixation L 1020 trial_1 <NA> <NA>
10 Fixation L 997 trial_1 <NA> <NA>
11 Fixation L 1123 trial_1 <NA> <NA>
12 Message ACC_1 NA trial_1 ACC_1 <NA>
13 Message RT_920 NA trial_1 <NA> RT_920
infoACC <- df %>% group_by(trial, Info) %>% summarize() %>% filter(grepl('ACC', Info))
> infoACC
# A tibble: 2 x 2
# Groups: trial [2]
trial Info
<chr> <fct>
1 trial_0 " ACC_0"
2 trial_1 " ACC_1"
infoRT <- df %>% group_by(trial, Info) %>% summarize() %>% filter(grepl('RT', Info))
> infoRT
# A tibble: 2 x 2
# Groups: trial [2]
trial Info
<chr> <fct>
1 trial_0 " RT_850"
2 trial_1 " RT_920"
df <- left_join(left_join(df, infoACC, by='trial'), infoRT, by='trial') %>% select(-ACC, -RT) %>% filter(!Event=='Message')
colnames(df) <- c('Event', 'Info', 'Pupil.size', 'Trial', 'ACC', 'RT')
> df
Event Info Pupil.size Trial ACC RT
1 Fixation L 1020 trial_0 ACC_0 RT_850
2 Fixation L 1200 trial_0 ACC_0 RT_850
3 Fixation L 980 trial_0 ACC_0 RT_850
4 Fixation L 990 trial_0 ACC_0 RT_850
5 Fixation L 1003 trial_0 ACC_0 RT_850
6 Fixation L 1023 trial_1 ACC_1 RT_920
7 Fixation L 1020 trial_1 ACC_1 RT_920
8 Fixation L 997 trial_1 ACC_1 RT_920
9 Fixation L 1123 trial_1 ACC_1 RT_920
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, 1L, 1L,
1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 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, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,
2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L,
1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 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, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 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, 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, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 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, 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, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
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, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 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, 1L,
1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 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, 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, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 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, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("EFI",
"MSG"), class = "factor"), Info = structure(c(127L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 172L, 51L, 128L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
11L, 1L, 220L, 3L, 95L, 7L, 218L, 173L, 129L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 35L, 61L, 219L, 3L, 86L, 7L, 218L, 174L, 140L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 41L, 66L, 219L,
3L, 107L, 7L, 216L, 185L, 51L, 151L, 51L, 51L, 51L, 51L, 27L,
83L, 220L, 3L, 98L, 7L, 216L, 196L, 162L, 51L, 51L, 51L, 51L,
51L, 30L, 57L, 219L, 3L, 88L, 7L, 217L, 207L, 167L, 51L, 51L,
51L, 51L, 51L, 51L, 36L, 62L, 220L, 3L, 93L, 7L, 217L, 211L,
168L, 51L, 51L, 51L, 51L, 48L, 71L, 219L, 3L, 85L, 7L, 216L,
212L, 169L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 26L, 83L,
220L, 3L, 102L, 7L, 216L, 213L, 170L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 29L, 56L, 220L, 3L, 101L, 4L, 218L, 214L, 51L, 171L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 49L, 72L, 220L, 2L, 103L,
4L, 216L, 215L, 130L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 20L, 80L, 219L, 3L, 116L, 4L, 218L, 175L, 131L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 25L, 83L, 219L, 3L, 125L, 4L, 216L, 176L, 132L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 32L, 52L, 219L, 3L, 126L, 4L, 218L,
177L, 133L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 8L,
53L, 220L, 3L, 97L, 4L, 218L, 178L, 134L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 40L, 65L, 219L,
3L, 117L, 4L, 216L, 179L, 135L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 9L, 74L, 220L,
3L, 121L, 4L, 216L, 180L, 136L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 28L, 55L, 220L, 3L, 84L, 6L, 218L, 181L, 137L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 31L, 58L, 219L, 3L, 112L, 6L, 218L,
182L, 138L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 45L, 69L, 219L, 3L, 120L, 6L, 216L,
183L, 139L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 46L, 70L, 220L, 2L, 90L, 6L, 216L, 184L, 141L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 37L, 63L,
219L, 3L, 114L, 6L, 216L, 186L, 142L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 39L, 65L, 220L, 3L, 100L, 6L, 216L, 187L, 143L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 21L, 81L, 220L,
2L, 89L, 6L, 217L, 188L, 144L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 22L, 82L, 220L, 3L, 106L, 6L, 217L, 189L, 145L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 33L, 59L, 219L,
3L, 110L, 5L, 216L, 190L, 146L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 44L, 68L, 220L, 3L, 99L, 5L, 216L, 191L, 147L, 51L,
51L, 51L, 51L, 51L, 50L, 73L, 220L, 3L, 91L, 5L, 218L, 192L,
148L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 10L, 75L, 219L, 2L, 115L, 5L, 218L, 193L, 149L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 38L, 64L, 220L, 3L, 124L, 5L, 218L, 194L, 150L, 51L,
51L, 51L, 51L, 51L, 51L, 14L, 76L, 220L, 3L, 94L, 5L, 216L, 195L,
152L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 15L, 77L, 219L, 3L, 118L, 5L, 218L, 197L, 153L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 18L, 79L, 219L, 3L, 122L, 5L, 216L, 198L, 154L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 34L, 60L, 220L, 3L, 119L, 7L, 216L, 199L, 155L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 42L, 67L, 220L,
3L, 108L, 7L, 218L, 200L, 51L, 156L, 51L, 51L, 51L, 51L, 51L,
43L, 68L, 219L, 3L, 96L, 7L, 216L, 201L, 157L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 19L, 80L, 219L,
3L, 123L, 7L, 218L, 202L, 158L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 12L, 76L, 219L, 3L, 111L, 7L, 217L, 203L, 159L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 13L, 76L, 220L,
3L, 113L, 7L, 217L, 204L, 160L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 16L, 78L, 220L, 2L, 104L, 7L, 216L, 205L, 161L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 17L, 79L, 219L,
3L, 109L, 7L, 216L, 206L, 163L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 23L, 54L, 219L, 3L, 105L, 7L, 216L, 208L, 51L, 164L,
51L, 51L, 51L, 51L, 51L, 24L, 54L, 220L, 3L, 92L, 7L, 217L, 209L,
165L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 47L, 70L,
220L, 3L, 87L, 7L, 217L, 210L, 166L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L), .Label = c("36=32mod4", "correct_0",
"correct_1", "difficulty_Easy", "difficulty_Hard", "difficulty_Intermediate",
"difficulty_Very", "id_1058", "id_10975", "id_11207", "id_1129",
"id_12052", "id_12069", "id_12131", "id_12453", "id_13285", "id_13741",
"id_13817", "id_14467", "id_14596", "id_14907", "id_15262", "id_1544",
"id_1555", "id_15661", "id_15684", "id_15693", "id_1685", "id_2295",
"id_2479", "id_2820", "id_313", "id_3645", "id_3985", "id_4333",
"id_4541", "id_5249", "id_5426", "id_5684", "id_5756", "id_6016",
"id_6326", "id_7019", "id_7064", "id_7885", "id_8660", "id_8728",
"id_9028", "id_9263", "id_9419", "L", "modulo_26", "modulo_36",
"modulo_40", "modulo_42", "modulo_46", "modulo_47", "modulo_50",
"modulo_55", "modulo_57", "modulo_58", "modulo_59", "modulo_63",
"modulo_64", "modulo_65", "modulo_66", "modulo_68", "modulo_71",
"modulo_74", "modulo_77", "modulo_78", "modulo_79", "modulo_80",
"modulo_85", "modulo_86", "modulo_89", "modulo_90", "modulo_93",
"modulo_94", "modulo_96", "modulo_97", "modulo_98", "modulo_99",
"RT_10590", "RT_1367", "RT_14182", "RT_15412", "RT_1550", "RT_17151",
"RT_17302", "RT_1736", "RT_1891", "RT_2002", "RT_2227", "RT_2241",
"RT_2432", "RT_2510", "RT_2624", "RT_2660", "RT_2840", "RT_2956",
"RT_2984", "RT_3029", "RT_3154", "RT_3273", "RT_3283", "RT_3727",
"RT_3900", "RT_4493", "RT_4544", "RT_4840", "RT_5095", "RT_5368",
"RT_5583", "RT_5618", "RT_6009", "RT_6385", "RT_6423", "RT_6489",
"RT_6689", "RT_7471", "RT_7669", "RT_7697", "RT_8156", "RT_8752",
"RT_8784", "start_consigne", "start_trial_0", "start_trial_1",
"start_trial_10", "start_trial_11", "start_trial_12", "start_trial_13",
"start_trial_14", "start_trial_15", "start_trial_16", "start_trial_17",
"start_trial_18", "start_trial_19", "start_trial_2", "start_trial_20",
"start_trial_21", "start_trial_22", "start_trial_23", "start_trial_24",
"start_trial_25", "start_trial_26", "start_trial_27", "start_trial_28",
"start_trial_29", "start_trial_3", "start_trial_30", "start_trial_31",
"start_trial_32", "start_trial_33", "start_trial_34", "start_trial_35",
"start_trial_36", "start_trial_37", "start_trial_38", "start_trial_39",
"start_trial_4", "start_trial_40", "start_trial_41", "start_trial_42",
"start_trial_43", "start_trial_5", "start_trial_6", "start_trial_7",
"start_trial_8", "start_trial_9", "stop_consigne", "stop_trial_0",
"stop_trial_1", "stop_trial_10", "stop_trial_11", "stop_trial_12",
"stop_trial_13", "stop_trial_14", "stop_trial_15", "stop_trial_16",
"stop_trial_17", "stop_trial_18", "stop_trial_19", "stop_trial_2",
"stop_trial_20", "stop_trial_21", "stop_trial_22", "stop_trial_23",
"stop_trial_24", "stop_trial_25", "stop_trial_26", "stop_trial_27",
"stop_trial_28", "stop_trial_29", "stop_trial_3", "stop_trial_30",
"stop_trial_31", "stop_trial_32", "stop_trial_33", "stop_trial_34",
"stop_trial_35", "stop_trial_36", "stop_trial_37", "stop_trial_38",
"stop_trial_39", "stop_trial_4", "stop_trial_40", "stop_trial_41",
"stop_trial_42", "stop_trial_5", "stop_trial_6", "stop_trial_7",
"stop_trial_8", "stop_trial_9", "strat_1", "strat_2", "strat_4",
"val_0", "val_1"), class = "factor"), PS = c(NA, 904L, 906L,
838L, 805L, 789L, 797L, 876L, 924L, 928L, 964L, 957L, 935L, 861L,
834L, 856L, 846L, 811L, 825L, 869L, 904L, 936L, 969L, 965L, 1016L,
1018L, 1030L, 1015L, 999L, 987L, 1017L, 1064L, 1080L, 1061L,
1075L, 1046L, 1005L, 1014L, 1023L, 1040L, 1051L, 1046L, 1010L,
971L, 994L, 1071L, 1082L, 1120L, 1119L, 1044L, 1023L, 978L, 947L,
925L, 900L, 940L, NA, 963L, NA, 995L, 1013L, 1046L, 1005L, 1013L,
1043L, 1146L, 1205L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1306L,
1334L, 1285L, 1297L, 1257L, 1206L, 1206L, 1256L, 1252L, 1189L,
1254L, 1214L, 1203L, 1207L, 1263L, 1224L, 1235L, 1258L, 1210L,
1186L, 1201L, 1271L, 1246L, 1274L, 1337L, 1325L, 1551L, 1733L,
1812L, 1568L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1272L, 1218L,
1227L, 1165L, 1145L, 1192L, 1199L, 1208L, 1248L, 1280L, 1224L,
NA, NA, NA, NA, NA, NA, NA, NA, 1220L, NA, 1229L, 1250L, 1372L,
1102L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1141L, 1163L, 1146L,
1129L, 1190L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1182L, 1152L,
1134L, 1179L, 1178L, 1267L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1272L, 1186L, 1164L, 1173L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1265L, 1191L, 1109L, 1150L, 1125L, 1090L, 1139L, 1205L, NA, NA,
NA, NA, NA, NA, NA, NA, NA, 1277L, 1164L, 1122L, 1113L, 1115L,
1121L, 1168L, NA, NA, NA, NA, NA, NA, NA, NA, 1235L, NA, 1207L,
1164L, 1145L, 1177L, 1242L, 1224L, 1281L, NA, NA, NA, NA, NA,
NA, NA, NA, NA, 1234L, 1232L, 1204L, 1198L, 1108L, 1131L, 1220L,
1228L, 1227L, 1231L, 1299L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1211L, 1266L, 1294L, 1292L, 1129L, 1182L, 1175L, 1211L, 1233L,
1206L, 1185L, 1307L, 1209L, 1206L, NA, NA, NA, NA, NA, NA, NA,
NA, NA, 1245L, 1264L, 1283L, 1246L, 1290L, 1344L, 1311L, 1267L,
1201L, 1188L, 1164L, 1218L, 1188L, 1156L, 1144L, 1121L, 1145L,
1176L, 1155L, 1103L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1173L,
1223L, 1218L, 1170L, 1120L, 1084L, 1096L, 1092L, 985L, NA, NA,
NA, NA, NA, NA, NA, NA, NA, 1043L, 1092L, 1090L, 1126L, 1099L,
1125L, 1175L, 1099L, 1102L, 1188L, 1215L, 1225L, 1197L, 1268L,
NA, NA, NA, NA, NA, NA, NA, NA, NA, 1292L, 1338L, 1322L, 1284L,
1296L, 1273L, 1251L, 1216L, 1205L, 1200L, 1165L, 1097L, 1132L,
1209L, 1243L, 1295L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1288L,
1286L, 1243L, 1245L, 1215L, 1213L, 1215L, 1283L, 1280L, 1275L,
1334L, 1301L, 1205L, 1215L, 1267L, 1245L, 1203L, 1071L, 1113L,
1160L, 1211L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1243L, 1249L,
1268L, 1266L, 1299L, 1363L, 1215L, NA, NA, NA, NA, NA, NA, NA,
NA, NA, 938L, 831L, 929L, 999L, 1033L, 1090L, 1092L, 1094L, 1139L,
1144L, 1225L, 1203L, 1199L, 1261L, 1221L, 1230L, NA, NA, NA,
NA, NA, NA, NA, NA, NA, 1291L, 1308L, 1270L, 1250L, 1276L, 1226L,
1197L, 1201L, 1213L, 1195L, 1202L, 1201L, 1194L, 1192L, 1190L,
1206L, 1244L, 1203L, 1228L, 1239L, 1218L, 1218L, 1217L, 1218L,
1202L, 1224L, 1177L, 1134L, 1134L, 1152L, 1159L, 1162L, 1168L,
1107L, 1175L, 1200L, 1173L, 1203L, NA, NA, NA, NA, NA, NA, NA,
NA, NA, 1266L, 1278L, 1227L, 1188L, 1184L, 1178L, 1167L, 1194L,
1131L, 1166L, 1203L, 1211L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1223L, 1226L, 1218L, 1208L, 1142L, 1105L, 1122L, 1156L, NA, NA,
NA, NA, NA, NA, NA, NA, NA, 1118L, 1133L, 1150L, 1115L, 1070L,
1078L, 1145L, 1156L, 1175L, 1172L, 1129L, 1134L, 1089L, 1144L,
1171L, 1179L, 1195L, 1194L, 1231L, 1275L, 1250L, 1273L, 1268L,
1221L, 1245L, 1211L, 1195L, 1197L, 1194L, 1140L, 1168L, 1220L,
1197L, 1191L, 1240L, 1288L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1339L, 1327L, 1324L, 1320L, 1242L, 1231L, 1253L, 1255L, 1268L,
NA, NA, NA, NA, NA, NA, NA, NA, NA, 1297L, 1303L, 1282L, 1252L,
1200L, 1202L, 1191L, 1177L, 1220L, NA, NA, NA, NA, NA, NA, NA,
NA, NA, 1221L, 1224L, 1203L, 1162L, 1175L, 1187L, 1184L, 1165L,
NA, NA, NA, NA, NA, NA, NA, NA, NA, 1200L, 1225L, 1200L, 1205L,
1219L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1269L, 1209L, 1161L,
1171L, 1165L, 1140L, 1120L, 1127L, 1076L, 1081L, 1081L, 1114L,
NA, NA, NA, NA, NA, NA, NA, NA, NA, 1181L, 1186L, 1189L, 1200L,
1179L, 1186L, 1171L, 1134L, 1012L, 1004L, 1134L, 1090L, 1146L,
1222L, 1309L, 1334L, 1354L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1240L, 1121L, 1101L, 1104L, 1142L, 1157L, NA, NA, NA, NA, NA,
NA, NA, NA, NA, 1197L, 1264L, 1217L, 1181L, 1173L, 1160L, 1147L,
1174L, 1188L, 1183L, 1162L, 1188L, 1273L, NA, NA, NA, NA, NA,
NA, NA, NA, NA, 1303L, 1335L, 1346L, 1284L, 1227L, 1245L, 1295L,
1291L, 1284L, 1125L, 1176L, 1214L, 1206L, 1216L, 1232L, 1234L,
1268L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1326L, 1284L, 1265L,
1237L, 1206L, 1212L, 1197L, 1181L, 1216L, 1222L, 1205L, 1148L,
1163L, 1154L, 1138L, 1146L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1250L, 1229L, 1209L, 1199L, 1165L, 1191L, 1145L, 1130L, 1116L,
NA, NA, NA, NA, NA, NA, NA, NA, 1101L, NA, 1113L, 1126L, 1138L,
1160L, 1128L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1155L, 1132L,
1122L, 1146L, 1145L, 1146L, 1171L, 1103L, 1170L, 1136L, 1177L,
1108L, 1106L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1175L, 1192L,
1129L, 1163L, 1187L, 1177L, 1162L, 1184L, 1129L, NA, NA, NA,
NA, NA, NA, NA, NA, NA, 1221L, 1113L, 1089L, 1099L, 1022L, 995L,
947L, 1012L, 1065L, 1114L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1163L, 1094L, 1098L, 1139L, 1130L, 1117L, 1087L, 1084L, NA, NA,
NA, NA, NA, NA, NA, NA, NA, 1137L, 1145L, 1130L, 1105L, 1123L,
1112L, 1048L, 1055L, 1078L, 1147L, NA, NA, NA, NA, NA, NA, NA,
NA, NA, 1207L, 1164L, 1169L, 1188L, 1189L, 1140L, 1099L, 1178L,
NA, NA, NA, NA, NA, NA, NA, NA, 1208L, NA, 1258L, 1207L, 1158L,
1140L, 1099L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1123L, 1083L,
1043L, 1066L, 1082L, 1049L, 1040L, 1090L, 1112L, 1069L, 1079L,
1061L, 1029L, 1032L, 1046L, 1170L, 1197L, 956L, 941L, 1076L,
1136L, 1208L, 1213L, 1207L, 1186L, 1225L, 1222L, 1232L, 1169L,
1102L, 1144L, 1178L, 1218L, 1211L, 1229L, NA, NA, NA, NA, NA,
NA, NA, NA, NA, 1255L, 1260L, 1236L, 1271L, 1312L, 1346L, 1272L,
1171L, 1192L, 1235L, 1296L), Modulo = 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, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 4L, 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, 13L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 19L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 44L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 9L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 14L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 26L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 43L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 8L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 27L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 39L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 42L, 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, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
18L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 29L, 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, 7L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 10L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 23L, 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, 24L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 15L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 17L, 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, 40L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 41L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 11L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
22L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 28L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 30L, 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, 16L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 33L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 34L, 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,
37L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 12L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 20L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 21L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 38L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 31L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 32L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 35L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 36L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 5L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 6L, 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, 25L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L), .Label = c(" ", "26=12mod6", "36=16mod4", "36=32mod4",
"40=33mod8", "40=36mod2", "42=12mod6", "46=34mod6", "47=44mod2",
"50=20mod4", "55=20mod4", "57=15mod6", "58=52mod4", "59=57mod2",
"63=33mod4", "64=24mod8", "65=35mod6", "65=51mod6", "66=61mod6",
"68=26mod6", "71=21mod6", "71=31mod4", "74=53mod8", "77=53mod4",
"77=69mod2", "78=75mod4", "79=67mod6", "80=40mod4", "85=65mod4",
"86=50mod8", "89=32mod2", "89=35mod2", "89=49mod4", "90=50mod6",
"93=13mod8", "94=43mod4", "94=61mod4", "96=54mod4", "96=82mod6",
"97=75mod2", "98=76mod2", "99=85mod8", "99=91mod8", "99=93mod6"
), class = "factor")), class = "data.frame", row.names = c(NA,
-997L))
1 MSG start_consigne NA
2 EFI L 904
3 EFI L 906
4 EFI L 838
5 EFI L 805
6 EFI L 789
7 EFI L 797
8 EFI L 876
9 EFI L 924
10 EFI L 928
11 EFI L 964
12 EFI L 957
13 EFI L 935
14 EFI L 861
15 EFI L 834
16 EFI L 856
17 EFI L 846
18 EFI L 811
19 EFI L 825
20 EFI L 869
21 EFI L 904
22 EFI L 936
23 EFI L 969
24 EFI L 965
25 EFI L 1016
26 EFI L 1018
27 EFI L 1030
28 EFI L 1015
29 EFI L 999
30 EFI L 987
31 EFI L 1017
32 EFI L 1064
33 EFI L 1080
34 EFI L 1061
35 EFI L 1075
36 EFI L 1046
37 EFI L 1005
38 EFI L 1014
39 EFI L 1023
40 EFI L 1040
41 EFI L 1051
42 EFI L 1046
43 EFI L 1010
44 EFI L 971
45 EFI L 994
46 EFI L 1071
47 EFI L 1082
48 EFI L 1120
49 EFI L 1119
50 EFI L 1044
51 EFI L 1023
52 EFI L 978
53 EFI L 947
54 EFI L 925
55 EFI L 900
56 EFI L 940
57 MSG stop_consigne NA
58 EFI L 963
59 MSG start_trial_0 NA
60 EFI L 995
61 EFI L 1013
62 EFI L 1046
63 EFI L 1005
64 EFI L 1013
65 EFI L 1043
66 EFI L 1146
67 EFI L 1205
68 MSG id_1129 NA
69 MSG 36=32mod4 NA 36=32mod4
70 MSG val_1 NA
71 MSG correct_1 NA
72 MSG RT_2241 NA
73 MSG difficulty_Very NA
74 MSG strat_4 NA
75 MSG stop_trial_0 NA
76 MSG start_trial_1 NA
77 EFI L 1306
78 EFI L 1334
79 EFI L 1285
80 EFI L 1297
81 EFI L 1257
82 EFI L 1206
83 EFI L 1206
84 EFI L 1256
85 EFI L 1252
86 EFI L 1189
87 EFI L 1254
88 EFI L 1214
89 EFI L 1203
90 EFI L 1207
91 EFI L 1263
92 EFI L 1224
93 EFI L 1235
94 EFI L 1258
95 EFI L 1210
96 EFI L 1186
97 EFI L 1201
98 EFI L 1271
99 EFI L 1246
100 EFI L 1274
101 EFI L 1337
102 EFI L 1325
103 EFI L 1551
104 EFI L 1733
105 EFI L 1812
106 EFI L 1568
107 MSG id_4333 NA
108 MSG modulo_58 NA 58=52mod4
109 MSG val_0 NA
110 MSG correct_1 NA
111 MSG RT_14182 NA
112 MSG difficulty_Very NA
113 MSG strat_4 NA
114 MSG stop_trial_1 NA
115 MSG start_trial_2 NA
116 EFI L 1272
117 EFI L 1218
118 EFI L 1227
119 EFI L 1165
120 EFI L 1145
121 EFI L 1192
122 EFI L 1199
123 EFI L 1208
124 EFI L 1248
125 EFI L 1280
126 EFI L 1224
127 MSG id_6016 NA
128 MSG modulo_66 NA 66=61mod6
129 MSG val_0 NA
130 MSG correct_1 NA
131 MSG RT_3727 NA
132 MSG difficulty_Very NA
133 MSG strat_1 NA
134 MSG stop_trial_2 NA
135 EFI L 1220
136 MSG start_trial_3 NA
137 EFI L 1229
138 EFI L 1250
139 EFI L 1372
140 EFI L 1102
141 MSG id_15693 NA
142 MSG modulo_99 NA 99=93mod6
143 MSG val_1 NA
144 MSG correct_1 NA
145 MSG RT_2624 NA
146 MSG difficulty_Very NA
147 MSG strat_1 NA
148 MSG stop_trial_3 NA
149 MSG start_trial_4 NA````
structure(list(Event = structure(c(2L, 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, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 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, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,
2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L,
1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 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, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 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, 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, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 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, 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, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
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, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 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, 1L,
1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 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, 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, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 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, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("EFI",
"MSG"), class = "factor"), Info = structure(c(127L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 172L, 51L, 128L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
11L, 1L, 220L, 3L, 95L, 7L, 218L, 173L, 129L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 35L, 61L, 219L, 3L, 86L, 7L, 218L, 174L, 140L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 41L, 66L, 219L,
3L, 107L, 7L, 216L, 185L, 51L, 151L, 51L, 51L, 51L, 51L, 27L,
83L, 220L, 3L, 98L, 7L, 216L, 196L, 162L, 51L, 51L, 51L, 51L,
51L, 30L, 57L, 219L, 3L, 88L, 7L, 217L, 207L, 167L, 51L, 51L,
51L, 51L, 51L, 51L, 36L, 62L, 220L, 3L, 93L, 7L, 217L, 211L,
168L, 51L, 51L, 51L, 51L, 48L, 71L, 219L, 3L, 85L, 7L, 216L,
212L, 169L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 26L, 83L,
220L, 3L, 102L, 7L, 216L, 213L, 170L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 29L, 56L, 220L, 3L, 101L, 4L, 218L, 214L, 51L, 171L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 49L, 72L, 220L, 2L, 103L,
4L, 216L, 215L, 130L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 20L, 80L, 219L, 3L, 116L, 4L, 218L, 175L, 131L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 25L, 83L, 219L, 3L, 125L, 4L, 216L, 176L, 132L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 32L, 52L, 219L, 3L, 126L, 4L, 218L,
177L, 133L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 8L,
53L, 220L, 3L, 97L, 4L, 218L, 178L, 134L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 40L, 65L, 219L,
3L, 117L, 4L, 216L, 179L, 135L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 9L, 74L, 220L,
3L, 121L, 4L, 216L, 180L, 136L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 28L, 55L, 220L, 3L, 84L, 6L, 218L, 181L, 137L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 31L, 58L, 219L, 3L, 112L, 6L, 218L,
182L, 138L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 45L, 69L, 219L, 3L, 120L, 6L, 216L,
183L, 139L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 46L, 70L, 220L, 2L, 90L, 6L, 216L, 184L, 141L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 37L, 63L,
219L, 3L, 114L, 6L, 216L, 186L, 142L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 39L, 65L, 220L, 3L, 100L, 6L, 216L, 187L, 143L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 21L, 81L, 220L,
2L, 89L, 6L, 217L, 188L, 144L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 22L, 82L, 220L, 3L, 106L, 6L, 217L, 189L, 145L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 33L, 59L, 219L,
3L, 110L, 5L, 216L, 190L, 146L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 44L, 68L, 220L, 3L, 99L, 5L, 216L, 191L, 147L, 51L,
51L, 51L, 51L, 51L, 50L, 73L, 220L, 3L, 91L, 5L, 218L, 192L,
148L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 10L, 75L, 219L, 2L, 115L, 5L, 218L, 193L, 149L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 38L, 64L, 220L, 3L, 124L, 5L, 218L, 194L, 150L, 51L,
51L, 51L, 51L, 51L, 51L, 14L, 76L, 220L, 3L, 94L, 5L, 216L, 195L,
152L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 15L, 77L, 219L, 3L, 118L, 5L, 218L, 197L, 153L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 18L, 79L, 219L, 3L, 122L, 5L, 216L, 198L, 154L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 34L, 60L, 220L, 3L, 119L, 7L, 216L, 199L, 155L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 42L, 67L, 220L,
3L, 108L, 7L, 218L, 200L, 51L, 156L, 51L, 51L, 51L, 51L, 51L,
43L, 68L, 219L, 3L, 96L, 7L, 216L, 201L, 157L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 19L, 80L, 219L,
3L, 123L, 7L, 218L, 202L, 158L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 12L, 76L, 219L, 3L, 111L, 7L, 217L, 203L, 159L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 13L, 76L, 220L,
3L, 113L, 7L, 217L, 204L, 160L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 16L, 78L, 220L, 2L, 104L, 7L, 216L, 205L, 161L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 17L, 79L, 219L,
3L, 109L, 7L, 216L, 206L, 163L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 23L, 54L, 219L, 3L, 105L, 7L, 216L, 208L, 51L, 164L,
51L, 51L, 51L, 51L, 51L, 24L, 54L, 220L, 3L, 92L, 7L, 217L, 209L,
165L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 47L, 70L,
220L, 3L, 87L, 7L, 217L, 210L, 166L, 51L, 51L, 51L, 51L, 51L,
51L, 51L, 51L, 51L, 51L, 51L), .Label = c("36=32mod4", "correct_0",
"correct_1", "difficulty_Easy", "difficulty_Hard", "difficulty_Intermediate",
"difficulty_Very", "id_1058", "id_10975", "id_11207", "id_1129",
"id_12052", "id_12069", "id_12131", "id_12453", "id_13285", "id_13741",
"id_13817", "id_14467", "id_14596", "id_14907", "id_15262", "id_1544",
"id_1555", "id_15661", "id_15684", "id_15693", "id_1685", "id_2295",
"id_2479", "id_2820", "id_313", "id_3645", "id_3985", "id_4333",
"id_4541", "id_5249", "id_5426", "id_5684", "id_5756", "id_6016",
"id_6326", "id_7019", "id_7064", "id_7885", "id_8660", "id_8728",
"id_9028", "id_9263", "id_9419", "L", "modulo_26", "modulo_36",
"modulo_40", "modulo_42", "modulo_46", "modulo_47", "modulo_50",
"modulo_55", "modulo_57", "modulo_58", "modulo_59", "modulo_63",
"modulo_64", "modulo_65", "modulo_66", "modulo_68", "modulo_71",
"modulo_74", "modulo_77", "modulo_78", "modulo_79", "modulo_80",
"modulo_85", "modulo_86", "modulo_89", "modulo_90", "modulo_93",
"modulo_94", "modulo_96", "modulo_97", "modulo_98", "modulo_99",
"RT_10590", "RT_1367", "RT_14182", "RT_15412", "RT_1550", "RT_17151",
"RT_17302", "RT_1736", "RT_1891", "RT_2002", "RT_2227", "RT_2241",
"RT_2432", "RT_2510", "RT_2624", "RT_2660", "RT_2840", "RT_2956",
"RT_2984", "RT_3029", "RT_3154", "RT_3273", "RT_3283", "RT_3727",
"RT_3900", "RT_4493", "RT_4544", "RT_4840", "RT_5095", "RT_5368",
"RT_5583", "RT_5618", "RT_6009", "RT_6385", "RT_6423", "RT_6489",
"RT_6689", "RT_7471", "RT_7669", "RT_7697", "RT_8156", "RT_8752",
"RT_8784", "start_consigne", "start_trial_0", "start_trial_1",
"start_trial_10", "start_trial_11", "start_trial_12", "start_trial_13",
"start_trial_14", "start_trial_15", "start_trial_16", "start_trial_17",
"start_trial_18", "start_trial_19", "start_trial_2", "start_trial_20",
"start_trial_21", "start_trial_22", "start_trial_23", "start_trial_24",
"start_trial_25", "start_trial_26", "start_trial_27", "start_trial_28",
"start_trial_29", "start_trial_3", "start_trial_30", "start_trial_31",
"start_trial_32", "start_trial_33", "start_trial_34", "start_trial_35",
"start_trial_36", "start_trial_37", "start_trial_38", "start_trial_39",
"start_trial_4", "start_trial_40", "start_trial_41", "start_trial_42",
"start_trial_43", "start_trial_5", "start_trial_6", "start_trial_7",
"start_trial_8", "start_trial_9", "stop_consigne", "stop_trial_0",
"stop_trial_1", "stop_trial_10", "stop_trial_11", "stop_trial_12",
"stop_trial_13", "stop_trial_14", "stop_trial_15", "stop_trial_16",
"stop_trial_17", "stop_trial_18", "stop_trial_19", "stop_trial_2",
"stop_trial_20", "stop_trial_21", "stop_trial_22", "stop_trial_23",
"stop_trial_24", "stop_trial_25", "stop_trial_26", "stop_trial_27",
"stop_trial_28", "stop_trial_29", "stop_trial_3", "stop_trial_30",
"stop_trial_31", "stop_trial_32", "stop_trial_33", "stop_trial_34",
"stop_trial_35", "stop_trial_36", "stop_trial_37", "stop_trial_38",
"stop_trial_39", "stop_trial_4", "stop_trial_40", "stop_trial_41",
"stop_trial_42", "stop_trial_5", "stop_trial_6", "stop_trial_7",
"stop_trial_8", "stop_trial_9", "strat_1", "strat_2", "strat_4",
"val_0", "val_1"), class = "factor"), PS = c(NA, 904L, 906L,
838L, 805L, 789L, 797L, 876L, 924L, 928L, 964L, 957L, 935L, 861L,
834L, 856L, 846L, 811L, 825L, 869L, 904L, 936L, 969L, 965L, 1016L,
1018L, 1030L, 1015L, 999L, 987L, 1017L, 1064L, 1080L, 1061L,
1075L, 1046L, 1005L, 1014L, 1023L, 1040L, 1051L, 1046L, 1010L,
971L, 994L, 1071L, 1082L, 1120L, 1119L, 1044L, 1023L, 978L, 947L,
925L, 900L, 940L, NA, 963L, NA, 995L, 1013L, 1046L, 1005L, 1013L,
1043L, 1146L, 1205L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1306L,
1334L, 1285L, 1297L, 1257L, 1206L, 1206L, 1256L, 1252L, 1189L,
1254L, 1214L, 1203L, 1207L, 1263L, 1224L, 1235L, 1258L, 1210L,
1186L, 1201L, 1271L, 1246L, 1274L, 1337L, 1325L, 1551L, 1733L,
1812L, 1568L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1272L, 1218L,
1227L, 1165L, 1145L, 1192L, 1199L, 1208L, 1248L, 1280L, 1224L,
NA, NA, NA, NA, NA, NA, NA, NA, 1220L, NA, 1229L, 1250L, 1372L,
1102L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1141L, 1163L, 1146L,
1129L, 1190L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1182L, 1152L,
1134L, 1179L, 1178L, 1267L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1272L, 1186L, 1164L, 1173L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1265L, 1191L, 1109L, 1150L, 1125L, 1090L, 1139L, 1205L, NA, NA,
NA, NA, NA, NA, NA, NA, NA, 1277L, 1164L, 1122L, 1113L, 1115L,
1121L, 1168L, NA, NA, NA, NA, NA, NA, NA, NA, 1235L, NA, 1207L,
1164L, 1145L, 1177L, 1242L, 1224L, 1281L, NA, NA, NA, NA, NA,
NA, NA, NA, NA, 1234L, 1232L, 1204L, 1198L, 1108L, 1131L, 1220L,
1228L, 1227L, 1231L, 1299L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1211L, 1266L, 1294L, 1292L, 1129L, 1182L, 1175L, 1211L, 1233L,
1206L, 1185L, 1307L, 1209L, 1206L, NA, NA, NA, NA, NA, NA, NA,
NA, NA, 1245L, 1264L, 1283L, 1246L, 1290L, 1344L, 1311L, 1267L,
1201L, 1188L, 1164L, 1218L, 1188L, 1156L, 1144L, 1121L, 1145L,
1176L, 1155L, 1103L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1173L,
1223L, 1218L, 1170L, 1120L, 1084L, 1096L, 1092L, 985L, NA, NA,
NA, NA, NA, NA, NA, NA, NA, 1043L, 1092L, 1090L, 1126L, 1099L,
1125L, 1175L, 1099L, 1102L, 1188L, 1215L, 1225L, 1197L, 1268L,
NA, NA, NA, NA, NA, NA, NA, NA, NA, 1292L, 1338L, 1322L, 1284L,
1296L, 1273L, 1251L, 1216L, 1205L, 1200L, 1165L, 1097L, 1132L,
1209L, 1243L, 1295L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1288L,
1286L, 1243L, 1245L, 1215L, 1213L, 1215L, 1283L, 1280L, 1275L,
1334L, 1301L, 1205L, 1215L, 1267L, 1245L, 1203L, 1071L, 1113L,
1160L, 1211L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1243L, 1249L,
1268L, 1266L, 1299L, 1363L, 1215L, NA, NA, NA, NA, NA, NA, NA,
NA, NA, 938L, 831L, 929L, 999L, 1033L, 1090L, 1092L, 1094L, 1139L,
1144L, 1225L, 1203L, 1199L, 1261L, 1221L, 1230L, NA, NA, NA,
NA, NA, NA, NA, NA, NA, 1291L, 1308L, 1270L, 1250L, 1276L, 1226L,
1197L, 1201L, 1213L, 1195L, 1202L, 1201L, 1194L, 1192L, 1190L,
1206L, 1244L, 1203L, 1228L, 1239L, 1218L, 1218L, 1217L, 1218L,
1202L, 1224L, 1177L, 1134L, 1134L, 1152L, 1159L, 1162L, 1168L,
1107L, 1175L, 1200L, 1173L, 1203L, NA, NA, NA, NA, NA, NA, NA,
NA, NA, 1266L, 1278L, 1227L, 1188L, 1184L, 1178L, 1167L, 1194L,
1131L, 1166L, 1203L, 1211L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1223L, 1226L, 1218L, 1208L, 1142L, 1105L, 1122L, 1156L, NA, NA,
NA, NA, NA, NA, NA, NA, NA, 1118L, 1133L, 1150L, 1115L, 1070L,
1078L, 1145L, 1156L, 1175L, 1172L, 1129L, 1134L, 1089L, 1144L,
1171L, 1179L, 1195L, 1194L, 1231L, 1275L, 1250L, 1273L, 1268L,
1221L, 1245L, 1211L, 1195L, 1197L, 1194L, 1140L, 1168L, 1220L,
1197L, 1191L, 1240L, 1288L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1339L, 1327L, 1324L, 1320L, 1242L, 1231L, 1253L, 1255L, 1268L,
NA, NA, NA, NA, NA, NA, NA, NA, NA, 1297L, 1303L, 1282L, 1252L,
1200L, 1202L, 1191L, 1177L, 1220L, NA, NA, NA, NA, NA, NA, NA,
NA, NA, 1221L, 1224L, 1203L, 1162L, 1175L, 1187L, 1184L, 1165L,
NA, NA, NA, NA, NA, NA, NA, NA, NA, 1200L, 1225L, 1200L, 1205L,
1219L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1269L, 1209L, 1161L,
1171L, 1165L, 1140L, 1120L, 1127L, 1076L, 1081L, 1081L, 1114L,
NA, NA, NA, NA, NA, NA, NA, NA, NA, 1181L, 1186L, 1189L, 1200L,
1179L, 1186L, 1171L, 1134L, 1012L, 1004L, 1134L, 1090L, 1146L,
1222L, 1309L, 1334L, 1354L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1240L, 1121L, 1101L, 1104L, 1142L, 1157L, NA, NA, NA, NA, NA,
NA, NA, NA, NA, 1197L, 1264L, 1217L, 1181L, 1173L, 1160L, 1147L,
1174L, 1188L, 1183L, 1162L, 1188L, 1273L, NA, NA, NA, NA, NA,
NA, NA, NA, NA, 1303L, 1335L, 1346L, 1284L, 1227L, 1245L, 1295L,
1291L, 1284L, 1125L, 1176L, 1214L, 1206L, 1216L, 1232L, 1234L,
1268L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1326L, 1284L, 1265L,
1237L, 1206L, 1212L, 1197L, 1181L, 1216L, 1222L, 1205L, 1148L,
1163L, 1154L, 1138L, 1146L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1250L, 1229L, 1209L, 1199L, 1165L, 1191L, 1145L, 1130L, 1116L,
NA, NA, NA, NA, NA, NA, NA, NA, 1101L, NA, 1113L, 1126L, 1138L,
1160L, 1128L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1155L, 1132L,
1122L, 1146L, 1145L, 1146L, 1171L, 1103L, 1170L, 1136L, 1177L,
1108L, 1106L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1175L, 1192L,
1129L, 1163L, 1187L, 1177L, 1162L, 1184L, 1129L, NA, NA, NA,
NA, NA, NA, NA, NA, NA, 1221L, 1113L, 1089L, 1099L, 1022L, 995L,
947L, 1012L, 1065L, 1114L, NA, NA, NA, NA, NA, NA, NA, NA, NA,
1163L, 1094L, 1098L, 1139L, 1130L, 1117L, 1087L, 1084L, NA, NA,
NA, NA, NA, NA, NA, NA, NA, 1137L, 1145L, 1130L, 1105L, 1123L,
1112L, 1048L, 1055L, 1078L, 1147L, NA, NA, NA, NA, NA, NA, NA,
NA, NA, 1207L, 1164L, 1169L, 1188L, 1189L, 1140L, 1099L, 1178L,
NA, NA, NA, NA, NA, NA, NA, NA, 1208L, NA, 1258L, 1207L, 1158L,
1140L, 1099L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1123L, 1083L,
1043L, 1066L, 1082L, 1049L, 1040L, 1090L, 1112L, 1069L, 1079L,
1061L, 1029L, 1032L, 1046L, 1170L, 1197L, 956L, 941L, 1076L,
1136L, 1208L, 1213L, 1207L, 1186L, 1225L, 1222L, 1232L, 1169L,
1102L, 1144L, 1178L, 1218L, 1211L, 1229L, NA, NA, NA, NA, NA,
NA, NA, NA, NA, 1255L, 1260L, 1236L, 1271L, 1312L, 1346L, 1272L,
1171L, 1192L, 1235L, 1296L), Modulo = 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, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 4L, 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, 13L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 19L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 44L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 9L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 14L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 26L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 43L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 8L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 27L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 39L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 42L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
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