Description Usage Arguments Value Examples
pe
takes actual and forecast numeric vectors and returns a
numeric vector where forecast is subtracted from the actual and
then those errors are divided by the actuals.
1 |
y_true |
Ground truth (correct) target values. |
y_pred |
Estimated target values. |
actual |
a numeric vector of actuals. |
forecast |
a numeric vector of forecasts. |
a numeric vector of percent errors.
1 2 | # Examples
pe(1:100, 100:1)
|
[1] -99.00000000 -48.50000000 -31.66666667 -23.25000000 -18.20000000
[6] -14.83333333 -12.42857143 -10.62500000 -9.22222222 -8.10000000
[11] -7.18181818 -6.41666667 -5.76923077 -5.21428571 -4.73333333
[16] -4.31250000 -3.94117647 -3.61111111 -3.31578947 -3.05000000
[21] -2.80952381 -2.59090909 -2.39130435 -2.20833333 -2.04000000
[26] -1.88461538 -1.74074074 -1.60714286 -1.48275862 -1.36666667
[31] -1.25806452 -1.15625000 -1.06060606 -0.97058824 -0.88571429
[36] -0.80555556 -0.72972973 -0.65789474 -0.58974359 -0.52500000
[41] -0.46341463 -0.40476190 -0.34883721 -0.29545455 -0.24444444
[46] -0.19565217 -0.14893617 -0.10416667 -0.06122449 -0.02000000
[51] 0.01960784 0.05769231 0.09433962 0.12962963 0.16363636
[56] 0.19642857 0.22807018 0.25862069 0.28813559 0.31666667
[61] 0.34426230 0.37096774 0.39682540 0.42187500 0.44615385
[66] 0.46969697 0.49253731 0.51470588 0.53623188 0.55714286
[71] 0.57746479 0.59722222 0.61643836 0.63513514 0.65333333
[76] 0.67105263 0.68831169 0.70512821 0.72151899 0.73750000
[81] 0.75308642 0.76829268 0.78313253 0.79761905 0.81176471
[86] 0.82558140 0.83908046 0.85227273 0.86516854 0.87777778
[91] 0.89010989 0.90217391 0.91397849 0.92553191 0.93684211
[96] 0.94791667 0.95876289 0.96938776 0.97979798 0.99000000
Warning messages:
1: In pe(1:100, 100:1) : 'pe' is deprecated. Use 'percent_error' instead.
2: In e(actual, forecast) :
'e' is deprecated. Use 'absolute_error' instead.
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