structure(list(Estimate = c(-0.0974614581011528, -0.102944120217478, 
-0.0985193318511128, -0.00528011742318947, -0.0156169214930947, 
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-0.019037740642764, -0.0183821754879505, -0.00314120385429508, 
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0.00336458226383866, 0.0108114342569888, 0.0114530967267024, 
0.0260415024623851, -0.0482507206919596, -0.0425796140842045, 
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-0.0277714126378907, -0.0136892498296386, 0.012436480333185, 
0.0264620410741897, 0.0267186750336054, 0.0250049320994012, 0.0237379435494645, 
0.00990442015938463, 0.017489774790743, 0.0361915577708129, 0.0137187954923872, 
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-0.10228302769729, -0.0724199133196715, -0.0545868254153771), 
    StdErr = c(0.0563361372761651, 0.0568240398036844, 0.0629583883852926, 
    0.0590259719454491, 0.0521419403476764, 0.0400114211823621, 
    0.0408855834969048, 0.0389939936586042, 0.0357642212960071, 
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    0.0420783681021303, 0.0450622579012045, 0.0442486408124564, 
    0.0452549788209441, 0.04200335277204, 0.0424649723339492, 
    0.0474507377011324, 0.0448667223664483, 0.0427249415282642, 
    0.0464414710022531, 0.0464844013068014, 0.0471014381732942, 
    0.0487540208859619, 0.0476055293319301, 0.0491071877983045, 
    0.0565983064937568, 0.0574830777512418, 0.0589868474880928, 
    0.0571380895761035, 0.0546549895605864, 0.0539848739719683, 
    0.0566094614539591, 0.061780651353428, 0.0588913397981232, 
    0.0553622855377582, 0.055724471840623, 0.0564464081154071, 
    0.0586954784221855, 0.0589661106590313, 0.0610536679979682, 
    0.060667097994836, 0.0625015043912952, 0.062187739547193, 
    0.0575362892953893, 0.0561603080288721, 0.057931211742784, 
    0.0533858700655176, 0.0512845275631689, 0.0526537247920609, 
    0.0504292755243716), Statistic = c(-1.72999894585224, -1.81162973581479, 
    -1.56483249298242, -0.089454137715331, -0.299507870036345, 
    -1.06949230175639, -2.29339344187791, -2.16117958489662, 
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    -0.488873453373442, -0.188215879144894, -0.816033301680219, 
    -0.404055572229316, -0.436855712734256, -0.0697080883337431, 
    -0.292975029341911, -0.295635604874109, -0.169110345478421, 
    0.0792319429147209, 0.227845440993655, 0.255269298103823, 
    0.609515227660585, -1.038957630985, -0.915997902246285, -1.06815901545665, 
    -0.925709346435639, -1.05273809728163, -1.27000007500342, 
    -0.810745047250905, -0.587699027033311, -0.188278904465605, 
    -0.269128513811795, -0.716215505893831, -0.514429516910811, 
    -0.241819114297213, 0.201300570012442, 0.449336713426802, 
    0.482615101130222, 0.44872443422914, 0.420539487666447, 0.168742472599746, 
    0.296607230751182, 0.592782693613385, 0.226132383875605, 
    -0.330689966745106, -0.908177345844764, -0.685518750055347, 
    -0.926742704006806, -1.11786595821265, -1.76543587916231, 
    -1.99442273444567, -1.37539962473065, -1.08244318102481), 
    Prob = c(0.097029317499369, 0.0831228351645213, 0.131278287671305, 
    0.929495409228035, 0.767242464402359, 0.29594408452143, 0.0308849556012112, 
    0.0408778368192851, 0.220532151336018, 0.81656002940535, 
    0.767729031596546, 0.629369035569109, 0.852289808385725, 
    0.422506819800867, 0.689749846053185, 0.66612134662152, 0.945003581431814, 
    0.772059453595114, 0.770051118466666, 0.867127097246937, 
    0.937505084120959, 0.821696358573953, 0.80069002126517, 0.547910518565481, 
    0.30917896372862, 0.368780801492337, 0.29607557252824, 0.363812534332877, 
    0.302945311221062, 0.216260192910372, 0.425479198511032, 
    0.562223753354349, 0.852240951840776, 0.790130979632625, 
    0.480769881708373, 0.611656689601404, 0.810974622319888, 
    0.842159915099365, 0.657220415719346, 0.633741914100044, 
    0.657655877576402, 0.677833076805291, 0.867413293759924, 
    0.769318094620306, 0.558871337302829, 0.823013241858565, 
    0.743748375470851, 0.372814192383965, 0.499585279833462, 
    0.363286511829243, 0.274689664999616, 0.0902123972352142, 
    0.0575842668510941, 0.181710667090231, 0.289811812263943), 
    DF = c(23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L, 24L, 
    24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 
    24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 
    24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 
    24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L), Time = c(15500, 
    15600, 15700, 15800, 15900, 16000, 16100, 16200, 16300, 16400, 
    16500, 16600, 16700, 16800, 16900, 17000, 17100, 17200, 17300, 
    17400, 17500, 17600, 17700, 17800, 17900, 18000, 18100, 18200, 
    18300, 18400, 18500, 18600, 18700, 18800, 18900, 19000, 19100, 
    19200, 19300, 19400, 19500, 19600, 19700, 19800, 19900, 20000, 
    20100, 20200, 20300, 20400, 20500, 20600, 20700, 20800, 20900
    ), CritStatisticPos = c(2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 
    2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 
    2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 
    2, 2, 2, 2, 2, 2), CritStatisticNeg = c(-2, -2, -2, -2, -2, 
    -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, 
    -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, 
    -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, 
    -2, -2, -2, -2, -2), ClusterPos = c(NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_), ClusterNeg = c(NA, 
    NA, NA, NA, NA, NA, 1L, 1L, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA)), eyetrackingR = structure(list(
    data_options = structure(list(participant_column = "ParticipantName", 
        trackloss_column = "TrackLoss", time_column = "TimeFromTrialOnset", 
        trial_column = "Trial", item_columns = NULL, aoi_columns = c("Animate", 
        "Inanimate"), treat_non_aoi_looks_as_missing = TRUE), .Names = c("participant_column", 
    "trackloss_column", "time_column", "trial_column", "item_columns", 
    "aoi_columns", "treat_non_aoi_looks_as_missing")), summarized_by = "ParticipantName", 
    time_bin_size = 100, formula = Prop ~ MCDI_Verbs + MCDI_Nouns, 
    p_adjust_method = "none", alpha = NULL, threshold = -2, test = "lm", 
    predictor = "MCDI_Verbs", positive_runs = list(), negative_runs = list(
        structure(list(start_time = 16100, stop_time = 16300), .Names = c("start_time", 
        "stop_time")))), .Names = c("data_options", "summarized_by", 
"time_bin_size", "formula", "p_adjust_method", "alpha", "threshold", 
"test", "predictor", "positive_runs", "negative_runs")), row.names = c(NA, 
55L), class = c("bin_analysis", "data.frame"), .Names = c("Estimate", 
"StdErr", "Statistic", "Prob", "DF", "Time", "CritStatisticPos", 
"CritStatisticNeg", "ClusterPos", "ClusterNeg"))
