summarySE returning error messages

[mprimbs]

Dear Team,

I tried to use your package on my own data, however summarySE returns the following error:
summarySE(data = df, measurevar = df$latency, groupvars = df$Group) #code I used

Error in .subset2(x, i, exact = exact) : #the error
recursive indexing failed at level 2

$latency is a numeric variable with no missing values, $group is a factor with three levels.

Do you have any ideas where that error could come from?

Best,

Max

Please find a datasample below:
> dput(df[1:200,]) structure(list(X = 1:200, participant = 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, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 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), latency = c(0.960098696, 6.334351009, 1.39179536, 0.841673142, 1.675061081, 1.658431585, 1.458457329, 2.241911558, 1.191686556, 2.591982676, 1.791839304, 0.924987911, 3.058850325, 1.1583546, 0.891616007, 0.875000659, 1.191856615, 0.824967354, 1.42510429, 0.691574893, 1.102011336, 2.725306059, 0.691741069, 0.891612955, 1.825160717, 1.101928387, 1.141847169, 1.491739071, 1.102039356, 0.924991795, 1.508425717, 1.591802351, 0.891627936, 0.825082484, 1.102043517, 1.925172119, 1.101997465, 1.141728155, 0.841649561, 0.858320949, 0.641626202, 0.958340951, 1.125011825, 0.975032313, 1.475141478, 1.441746271, 2.541970178, 2.69199602, 2.591993218, 3.492112759, 0.891657066, 1.101985258, 1.102108434, 1.558537809, 0.808316496, 1.875169054, 0.841759975, 1.508476763, 1.541738808, 0.841595741, 1.101998297, 1.274994389, 0.941690925, 1.491867518, 0.858292652, 2.241910171, 1.141680438, 1.375083747, 1.101917013, 0.641546027, 1.102061827, 0.858312626, 1.208560738, 2.10867917, 3.542164096, 1.15837291, 1.608381357, 1.325054049, 1.225171925, 1.208426744, 2.275233527, 1.241708486, 1.102107879, 2.458607969, 1.691886438, 3.767281924, 1.102027426, 1.541785692, 1.101944477, 4.550688436, 1.158386781, 2.075218213, 1.325091501, 1.625211708, 0.841656774, 0.958333183, 1.102049343, 0.825117994, 1.758627195, 0.975114152, 0.941756119, 0.858252148, 1.101996633, 1.791817942, 1.10198831, 0.741762167, 0.92505477, 1.791876201, 3.058693859, 1.102018549, 1.458378819, 1.54186337, 1.208413982, 1.641769629, 1.441878601, 3.558831322, 1.291858862, 1.141766717, 1.241858016, 1.725183161, 3.208751882, 1.341684933, 1.125178556, 0.791644276, 3.308781316, 1.275049596, 2.008731575, 3.850513744, 3.742129473, 4.134036357, 1.101963065, 3.458804384, 3.833833756, 1.775142394, 1.708453515, 0.624983389, 0.858307078, 0.791663696, 1.441735729, 3.358787988, 1.102092066, 1.341742914, 1.708633284, 1.808515962, 0.841654832, 1.991867934, 1.225080376, 1.475076284, 0.858309852, 0.858388085, 1.175052065, 0.79166869, 1.308392648, 1.102056833, 3.342111885, 2.225207158, 1.608472352, 1.191848015, 1.101982484, 1.108453071, 0.958475223, 1.101981929, 1.841847363, 1.808465472, 2.375262129, 0.741687263, 0.925176836, 1.125000451, 1.275069016, 1.491777633, 1.191844686, 2.642029019, 0.641583479, 0.675082165, 0.958481049, 1.35924490217, 1.90861336524, 1.17521269238, 1.20838180124, 1.10202714906, 1.17521130527, 1.94200163734, 0.924972375722, 1.9252212231, 1.20841592412, 1.10192145134, 1.17519743418, 1.12500267019, 1.10198941969, 1.80849376869, 2.47527020193, 1.6085228425, 2.57527799748, 0.875075285349, 1.10193670954, 1.49179261387, 0.89179660874, 1.47520639491, 1.72512906357, 2.37526712254), Group = structure(c(3L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 2L, 3L, 2L, 3L, 3L, 2L, 2L, 1L, 2L, 3L, 1L, 1L, 1L, 2L, 3L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 3L, 3L, 3L, 2L, 2L, 1L, 3L, 2L, 3L, 1L, 2L, 2L, 3L, 2L, 2L, 3L, 1L, 1L, 2L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 3L, 2L, 1L, 2L, 2L, 1L, 3L, 2L, 3L, 3L, 1L, 1L, 1L, 2L, 2L, 3L, 1L, 3L, 3L, 2L, 3L, 1L, 1L, 3L, 1L, 3L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 3L, 2L, 2L, 3L, 1L, 2L, 2L, 1L, 2L, 3L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 3L, 3L, 2L, 2L, 1L, 2L, 2L, 3L, 2L, 3L, 3L, 2L, 3L, 3L, 2L, 2L, 3L, 1L, 1L, 2L, 1L, 2L, 3L, 1L, 2L, 1L, 3L, 3L, 3L, 1L, 1L, 2L, 3L, 3L, 3L, 2L, 3L, 3L, 1L, 1L, 3L, 3L, 1L, 2L, 3L, 2L, 1L, 3L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 3L, 2L, 1L, 1L, 1L, 1L, 3L, 2L, 2L, 3L, 2L, 1L, 1L, 1L, 3L, 3L, 2L, 1L, 3L, 1L, 1L, 2L, 3L, 1L, 3L, 1L, 1L, 2L, 3L, 3L), .Label = c("1", "2", "3"), class = "factor")), row.names = c(NA, 200L), class = "data.frame")