residuals.nrm.Rd
Method to compute residuals of nrm models
# S3 method for nrm
residuals(object, adj, RMSLE = FALSE, null = FALSE, ...)
nrm object
adjacency against which to compute residuals
logical, return log residuals? default FALSE
logical. use null model?
additional parameters to be passed to and from internal functions.
numeric vector, residuals of nrm model fit against the original data
data('highschool.predictors')
highschool.m <- nrm(w=highschool.predictors[1], adj=contacts.adj, directed=FALSE, selfloops=FALSE)
residuals(highschool.m, contacts.adj)
#> [1] 1.736697e+00 -3.663363e-01 5.775660e+01 -3.591470e-01 1.676138e+01
#> [6] 1.516680e+02 7.285832e+00 -1.389576e-01 -5.846154e-01 -1.553522e+00
#> [11] -7.659767e-01 -5.089433e-01 -7.080860e-01 -6.941918e-01 -3.313154e+00
#> [16] 2.348672e+01 -1.669924e+00 -2.323336e+00 -2.277749e+00 3.531291e+02
#> [21] -4.857671e+00 4.046608e+00 1.366535e+00 1.411866e+01 1.313596e+01
#> [26] -3.123832e+00 -1.842738e+00 -6.046273e+00 -9.356711e-02 1.273396e+00
#> [31] -1.010917e+00 1.008920e+00 -4.730136e+00 3.088633e+01 -6.935220e+00
#> [36] -2.630843e+00 -4.541864e-01 4.033785e+00 6.557178e-01 4.568210e+01
#> [41] -6.289940e+00 1.618933e+01 -9.222166e+00 -3.498391e+00 5.829873e+02
#> [46] 3.640970e-01 4.577487e+00 1.412159e+00 4.236941e-01 -2.750583e+00
#> [51] -1.229100e+00 1.967152e+00 -1.529835e+00 1.924524e+01 2.666586e+00
#> [56] 2.396445e+00 4.598981e+00 1.442062e+00 6.453011e+00 -2.610666e+00
#> [61] -1.166578e+00 -3.827707e+00 3.547985e+00 1.833450e+01 3.778528e+01
#> [66] 3.070315e+02 1.131459e+01 8.880148e+00 4.441965e+00 2.472537e+00
#> [71] 6.270992e+01 7.424205e-01 -5.688547e+00 1.094534e+01 1.423492e+02
#> [76] 1.888156e+02 7.929556e+01 2.843313e+01 7.056193e+00 1.372903e+00
#> [81] 3.127525e+00 -8.553545e-01 1.419176e+02 -1.824213e+00 6.014510e+00
#> [86] 1.729435e+00 1.039560e+01 1.753678e+01 3.548554e+01 4.562583e+00
#> [91] 2.569861e+02 1.903764e-01 3.462060e+00 4.251567e+00 7.266254e+00
#> [96] -1.501984e+00 8.043514e+01 -4.134534e+00 1.220522e+02 1.576587e+01
#> [101] 1.480291e+02 3.700857e+00 1.476694e+01 3.255676e+01 1.207182e+01
#> [106] 3.640223e+00 1.076095e+01 -3.325852e-01 -3.260588e-01 8.344380e+01
#> [111] -2.981184e+00 5.071833e+01 1.344625e-01 -9.927939e-01 6.798214e-01
#> [116] 3.422692e+00 4.520585e-01 1.646990e+01 1.114316e+01 2.649812e-01
#> [121] -7.593038e-01 4.954949e-01 -7.019161e-01 3.118577e-01 -2.284336e+00
#> [126] 5.323920e-01 -4.815424e+00 1.732967e-01 4.904724e+00 9.213784e+00
#> [131] 2.078160e+01 4.843578e+00 6.770756e+00 -1.808339e+00 1.944875e+01
#> [136] 3.310663e+00 4.423311e-01 -3.705347e-01 4.844787e-01 -5.054055e-01
#> [141] 1.758785e+01 -4.620916e+00 8.463356e+00 2.365839e+01 1.461141e+00
#> [146] 2.953687e+00 -8.948476e-01 2.150672e+00 1.462831e+01 -3.281219e-01
#> [151] 9.860698e+00 6.829544e+00 -6.849438e-02 -1.410337e-02 -9.362407e-03
#> [156] -1.303493e-02 -1.277778e-02 -6.108563e-02 -2.729496e-02 -8.957487e-02
#> [161] -3.396362e-02 -3.896174e-02 9.481826e-01 -2.264543e-02 -2.149188e-02
#> [166] -6.006065e-02 -3.362136e-02 -2.883875e-02 -1.281397e-02 -2.704414e-02
#> [171] -1.986861e-02 1.691142e+00 3.794786e+00 6.714486e+00 5.720088e+00
#> [176] -1.335956e+00 -2.559265e+00 3.904125e+01 3.256960e+00 -8.522862e-01
#> [181] -1.333374e-01 5.504397e+00 2.529608e+00 8.686454e+00 1.264430e+00
#> [186] 2.369007e+00 2.179791e+01 2.024082e+02 5.136724e+00 -1.099915e-02
#> [191] 9.821793e+01 4.803701e-01 -7.229589e-01 -7.087722e-01 -3.827950e-01
#> [196] -1.511605e+00 -1.959783e+00 1.185348e-01 1.484191e+01 1.713026e+01
#> [201] 7.450735e-01 2.808910e+00 -1.326052e+00 -1.862550e+00 4.022501e-01
#> [206] 1.229000e+01 2.815016e+02 -1.005262e-01 7.972145e+00 5.739048e+01
#> [211] 3.835748e+00 1.226430e+00 -7.626024e-02 9.448586e-01 1.964123e+00
#> [216] -1.250286e+00 -7.383491e+00 2.199107e+00 -3.212694e+00 -4.272111e+00
#> [221] -8.681840e-01 -1.773153e+00 4.859444e-02 2.272645e-01 -2.378535e+00
#> [226] 5.943035e+00 -2.230708e+00 3.616734e-01 -4.148071e-02 -9.073756e-01
#> [231] -1.297582e+00 -8.996413e-01 2.402244e+00 -8.316488e-01 1.846697e-01
#> [236] 5.108702e+00 -7.454491e+00 -5.705330e+00 3.083570e+01 7.517500e+00
#> [241] 3.169887e+01 2.556421e+00 3.629853e+00 7.917397e+01 2.585746e+01
#> [246] 3.016207e+01 7.498598e+00 2.762936e-01 6.285727e+02 -3.206073e-02
#> [251] -2.005859e+00 -7.753804e-01 1.357039e+00 1.226319e+00 7.485942e+00
#> [256] 2.847936e-01 2.988282e-01 -3.346521e+00 -1.495395e+00 -4.906598e+00
#> [261] 2.138710e+00 6.865053e+00 -1.838970e+00 7.585304e-01 4.821682e+00
#> [266] 2.970961e+01 2.157422e+00 -5.806169e-01 2.976113e-01 3.517620e+00
#> [271] 7.191127e+01 -2.755662e-02 7.397019e+00 -5.268202e-01 1.727056e+00
#> [276] 3.682437e+02 -3.566769e-02 -2.369033e-02 -3.296943e-02 -3.232113e-02
#> [281] -1.543620e-01 -6.897558e-02 -2.263348e-01 -8.584258e-02 -9.846825e-02
#> [286] -1.309469e-01 -5.724831e-02 -5.433455e-02 -1.517724e-01 -8.497878e-02
#> [291] -7.289457e-02 -3.239134e-02 -6.836187e-02 -5.021423e-02 -1.245906e-03
#> [296] -2.780574e-02 -7.041182e-02 1.689517e+01 -8.101464e-02 -6.965667e-02
#> [301] 1.842935e+00 1.231205e+00 -1.069616e+00 9.513724e-01 3.995214e+00
#> [306] -1.236393e+00 -2.337905e+00 -7.836010e-01 -3.192859e+00 -4.245735e+00
#> [311] -8.566503e-01 2.377941e-01 -3.920836e+00 -7.556170e-01 -2.363850e+00
#> [316] 7.949560e+00 -2.169364e-01 4.371788e+00 -4.122537e-02 9.822634e-02
#> [321] 1.271660e+01 6.216008e+02 6.373357e+00 9.741089e+00 3.895813e+00
#> [326] 1.702762e+00 -8.619318e-01 -1.991957e-01 -1.175665e+00 3.889124e-01
#> [331] -2.507320e+00 2.277315e+01 -3.120820e+00 -3.579657e+00 -4.760083e+00
#> [336] -2.081574e+00 -1.975689e+00 2.483033e+00 -1.089446e+00 -1.650218e+00
#> [341] -1.177695e+00 6.514493e+00 -8.254608e-01 -4.622168e-02 2.398898e+01
#> [346] 1.643998e+01 -3.811035e+00 2.605515e+01 -2.532567e+00 -1.168110e-01
#> [351] -2.787506e+00 1.582296e+01 -1.176241e-01 2.836343e+00 8.395552e-01
#> [356] -7.658467e-01 -3.422182e-01 -1.228785e-01 5.740558e-01 -4.885727e-01
#> [361] -6.496913e-01 -2.840956e-01 -2.696427e-01 4.247000e+00 5.783386e-01
#> [366] -3.617112e-01 -1.607349e-01 -3.392288e-01 7.508504e-01 -6.285670e-03
#> [371] 1.586201e+01 1.650601e+00 3.479847e+00 -4.019377e-01 -3.456521e-01
#> [376] -1.591971e-02 3.483058e+00 3.420431e+00 1.408426e+00 6.069419e-01
#> [381] 1.453138e+00 -5.361309e-01 1.441155e+00 -1.143422e+00 -1.751728e+00
#> [386] 1.576807e+00 -1.632440e+00 -1.170756e+00 -9.492593e-01 -9.009714e-01
#> [391] 1.564841e+02 1.759112e+01 -1.208582e+00 1.462935e+00 -1.133467e+00
#> [396] 6.167531e+00 -2.106451e-02 -4.610547e-01 -1.167447e+00 -1.737956e+00
#> [401] 4.765705e+01 -1.154928e+00 -5.325525e-02 -1.727226e+00 2.406353e+01
#> [406] 4.573571e+01 -4.656665e-01 1.690596e+00 -4.304720e-01 -4.220250e-01
#> [411] 1.169858e+02 -3.858585e+00 6.304681e+01 -1.202777e-01 -1.284987e+00
#> [416] -1.708724e+00 -7.472197e-01 -7.092098e-01 1.601958e+01 -1.109015e+00
#> [421] -9.513459e-01 2.551876e+02 -8.922194e-01 9.190749e+00 -1.658881e-02
#> [426] 2.444118e+00 -9.189668e-01 -1.368045e+00 -4.531908e+00 -9.091125e-01
#> [431] -4.192813e-02 -1.359598e+00 -5.243066e-01 -2.080445e-01 1.304868e+00
#> [436] -1.150153e-01 -7.641680e-02 2.893678e+00 -1.042348e-01 5.024774e-01
#> [441] -9.530930e-01 2.270538e+00 7.232887e-01 -3.173966e-01 -4.220644e-01
#> [446] -1.845620e-01 -1.751730e-01 2.251082e+01 5.726071e+00 -2.349835e-01
#> [451] 5.523412e-01 -2.203783e-01 3.306104e+00 -4.087947e-03 4.615699e+00
#> [456] -2.269851e-01 6.620875e-01 1.488059e+01 -2.245511e-01 -1.034669e-02
#> [461] -3.358265e-01 -3.765109e-01 2.948621e+00 7.282830e+01 -5.794171e-01
#> [466] 7.878237e-01 1.194587e+00 -1.205623e-01 -9.857428e-02 -4.243161e+00
#> [471] -2.342911e+00 1.031260e+01 -1.916183e+00 -2.344934e+00 -4.447958e+00
#> [476] -1.945083e+00 -1.846140e+00 -4.155213e+00 -8.868664e-01 -2.476440e+00
#> [481] -1.100472e+00 8.677471e+00 -1.705763e+00 -4.319021e-02 1.305527e+01
#> [486] 1.360785e+01 -3.561141e+00 -1.751749e+00 -2.366503e+00 -1.091508e-01
#> [491] -2.539154e+00 8.700321e+02 2.445843e+01 1.419051e+01 5.756443e-01
#> [496] 1.648178e+00 1.688385e+00 8.128516e+00 5.787514e+00 1.811306e+00
#> [501] -4.673272e+00 -2.535107e+00 -8.318024e+00 3.908446e+02 -3.619329e+00
#> [506] -3.812837e+00 8.953564e-01 -1.997584e+00 2.642189e+01 3.876315e+00
#> [511] 1.332041e+01 -1.907471e-01 4.869472e-01 1.115431e+01 -4.673416e-02
#> [516] 1.977776e+00 4.411610e+00 9.146729e+00 8.022517e+00 -2.560634e+00
#> [521] -1.181058e-01 -3.829481e+00 -3.293402e+00 -5.859925e-01 4.206727e-02
#> [526] -1.541200e+00 2.619316e+00 -4.011878e+00 1.850845e+00 1.900899e+00
#> [531] -1.378812e-01 -1.351751e-01 4.354813e+00 -1.235972e+00 5.403646e-02
#> [536] 1.641159e+00 -4.116013e-01 -5.473336e-01 -2.393426e-01 -2.271671e-01
#> [541] 3.656353e-01 -3.552333e-01 -3.047287e-01 -5.805290e-01 -2.857890e-01
#> [546] 2.100153e+00 -5.305410e-03 8.501634e+00 -2.943567e-01 1.561794e+00
#> [551] 3.354835e+01 7.370880e+01 -1.342183e-02 5.644989e-01 1.511740e+00
#> [556] 1.933368e+00 2.477734e+01 -7.513920e-01 1.381442e+01 3.543756e+00
#> [561] 4.450633e+01 8.242279e-01 -1.167864e-01 2.383751e+01 1.784070e+01
#> [566] 1.239685e+00 -1.456521e+00 8.852385e-01 5.771258e-01 -4.850488e-01
#> [571] 3.549991e-01 1.717947e+00 -2.677046e-01 2.524383e-01 -4.186227e-01
#> [576] -3.591061e-01 3.931588e+01 -3.367868e-01 -1.060418e+00 -6.254367e-03
#> [581] 4.412702e+00 6.531166e-01 2.948360e+01 -7.106873e-01 1.656836e+00
#> [586] -1.581915e-02 7.448679e+01 -5.753869e-01 -7.852462e-02 -2.623904e-01
#> [591] 3.511453e+01 5.781298e+00 -5.376577e-01 4.182363e-01 8.716381e+00
#> [596] 4.396055e+00 -6.572074e-02 -1.482723e+00 -1.453629e+00 1.010623e+02
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#> [606] -2.573718e+00 -2.442799e+00 -4.821326e+00 1.191801e+02 -3.276804e+00
#> [611] 1.054386e+01 -1.073151e+00 3.874295e+01 -5.715595e-02 -1.250053e+00
#> [616] 1.383472e+01 1.782879e+02 3.589135e-01 2.868663e+00 3.855565e+00
#> [621] 1.493170e+02 -3.250293e+00 6.283399e+00 2.605690e+00 2.211531e+01
#> [626] 5.344691e-01 -1.906024e+00 2.769152e+01 1.396299e+00 2.328857e+01
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