testmatrix <- structure(list(Participant = c(480L, 480L, 480L, 480L, 480L,
480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L,
480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L,
480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L,
480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L,
480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L,
480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L,
480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L,
480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L,
480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L,
480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L,
480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L,
480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L, 480L,
480L, 480L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L,
485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L,
485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L,
485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L,
485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L,
485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L,
485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L,
485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L,
485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L,
485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L,
485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L, 485L,
485L, 485L, 485L, 485L, 485L, 485L), Time = 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, 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, 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, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 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, 1L, 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, 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, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L), AdpMeanAmp = c(-9.754203056, -0.495155278, -2.195121944,
1.41495425, -6.078787278, 1.346799722, 0.643207778, -15.4532,
0.667331389, -4.870593611, -3.209394444, -3.207669444, -0.929003167,
-2.322763611, -1.296921389, 3.518718889, 5.355625, -0.918338889,
-14.85672222, -6.038286667, -2.475296722, -2.604885278, -2.555607056,
5.275308333, -2.008800833, -9.691686342, -2.302332833, -1.5296975,
-3.321189722, -16.96612778, -8.092960889, -1.811618722, 5.098173056,
4.976565833, 3.345711944, 2.341464722, -1.176499722, -6.47635,
-16.04515556, 2.6965525, 1.342603197, 5.492311111, 1.279819056,
5.013305111, 0.977263333, -14.95686667, -0.472862833, 1.443284222,
-1.187473611, 0.067691667, 2.092128556, 2.4527825, -6.264150556,
-3.402644333, -4.981451667, -0.683365556, 3.637192778, 10.99151278,
2.326602111, 1.598646667, -0.250853056, 0.384139444, -6.602626028,
-10.41632908, 2.315691667, -0.527079778, -8.908269167, -6.391730556,
0.619586389, -9.358659444, -3.740466278, -11.74775556, 5.660477778,
-0.299126667, -4.009585028, 4.333248056, -1.883224278, 3.810443611,
0.97681375, -0.70781625, -4.047147222, -6.918295833, 4.204295556,
6.691665278, 3.022944472, -3.671905, 0.274677833, 4.185016583,
-5.447118889, 0.563756944, -5.773984722, -3.017856667, 4.340719444,
0.245574186, -5.858672222, -4.307608333, -7.513298889, 3.455451389,
3.627268611, -2.989485278, -3.647620556, 6.773490556, 1.754427139,
-0.008031722, 0.279959778, -2.354376389, -2.78783425, -4.001241389,
-4.180244167, 0.291680944, 11.21774722, 3.2920975, -0.640009444,
-9.894127108, -9.379955944, 2.2892225, -10.48888056, -2.548196111,
-1.801460278, 2.33685175, -5.136521389, -9.777996667, 2.74887,
9.425130556, -8.950200556, -1.342131719, 1.229002778, -1.429317103,
4.504315833, 4.5956925, -5.520082222, 2.722141944, 5.467383333,
0.901795556, 3.968634167, -8.456018889, 10.144125, 3.559389167,
2.2215925, 6.922958333, -12.50711111, -0.942239444, -3.135135139,
-5.995455556, -3.319592222, -0.619252944, -1.060613194, -6.642757222,
-0.438860278, -6.192648889, 9.246641667, 0.314120306, 1.417104361,
-4.245389444, 3.700203389, -7.864175, -3.160018167, -1.442484972,
-1.724199972, 0.257440111, -2.894643333, -2.731235, -12.68484722,
-0.949738056, 2.719832528, -1.778345333, -10.17781389, -0.066781972,
2.715815278, -0.430233444, -7.484216667, -2.719353667, 5.186274167,
-5.860130556, -5.951364722, -6.459845833, -2.885905833, 0.378856069,
-7.436405833, 9.127244444, -2.920192778, -1.681440833, -8.517983333,
-9.233713889, 1.85049875, -8.616461667, -2.689207778, -5.694225,
0.122773378, -5.973558333, 2.271115278, -1.250881389, -2.554280333,
-4.398802528, 2.139071889, 0.682897417, 2.626935186, -0.295735,
8.238261111, -2.882626972, -6.961102778, -18.93644444, -5.240122222,
-9.332697222, 6.102175, 0.151331083, -0.949147778, -0.249562889,
-0.772839722, -1.024065611, -6.208188889, 8.204308333, -2.671645139,
0.35774975, 2.044862417, 1.084563806, -2.973022972, -10.93395278,
-3.793119444, -7.836432222, -0.681975778, -1.979107222, -10.81266944,
-5.085684722, -3.207681917, -7.029186944, 2.325443611, -3.830519444,
4.288383889, -6.078538889, 3.090574444, -18.96408333, 0.689698917,
0.02526375, 1.099248583, -13.94686944, 3.142726944, 2.116814725,
1.023272778, 1.269933389, 4.860541667, -2.996058528, -3.843702778,
4.155211583, -0.789725278, 0.596395472, -3.649456944, 4.371523889,
-1.994977778, -0.206682278, 1.856320833, -1.219384139, 4.802146944,
0.015093333, -2.896420556, -6.378116667, -8.245214861, 5.217671667,
-9.632105556, -0.355930056, -9.134325, -6.103533333, -1.977648056,
-2.015617694)), .Names = c("Participant", "Time", "AdpMeanAmp"
), class = "data.frame", row.names = c(NA, -264L))