Description Usage Arguments Details Value See Also Examples
Plots the actual and expected cumulative total repeat transactions by all customers for the calibration and holdout periods, and returns this comparison in a matrix.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | mbgcnbd.PlotTrackingCum(
params,
T.cal,
T.tot,
actual.cu.tracking.data,
xlab = "Week",
ylab = "Cumulative Transactions",
xticklab = NULL,
title = "Tracking Cumulative Transactions",
ymax = NULL,
legend = c("Actual", "Model")
)
bgcnbd.PlotTrackingCum(
params,
T.cal,
T.tot,
actual.cu.tracking.data,
xlab = "Week",
ylab = "Cumulative Transactions",
xticklab = NULL,
title = "Tracking Cumulative Transactions",
ymax = NULL,
legend = c("Actual", "Model")
)
|
params |
A vector with model parameters |
T.cal |
A vector to represent customers' calibration period lengths. |
T.tot |
End of holdout period. Must be a single value, not a vector. |
actual.cu.tracking.data |
A vector containing the cumulative number of repeat transactions made by customers for each period in the total time period (both calibration and holdout periods). |
xlab |
Descriptive label for the x axis. |
ylab |
Descriptive label for the y axis. |
xticklab |
A vector containing a label for each tick mark on the x axis. |
title |
Title placed on the top-center of the plot. |
ymax |
Upper boundary for y axis. |
legend |
plot legend, defaults to 'Actual' and 'Model'. |
Note: Computational time increases with the number of unique values of
T.cal
.
Matrix containing actual and expected cumulative repeat transactions.
mbgcnbd.ExpectedCumulativeTransactions
1 2 3 4 5 6 7 8 9 10 | ## Not run:
data("groceryElog")
groceryElog <- groceryElog[groceryElog$date < "2006-06-30", ]
cbs <- elog2cbs(groceryElog, T.cal = "2006-04-30")
cum <- elog2cum(groceryElog)
params <- mbgcnbd.EstimateParameters(cbs, k = 2)
mbgcnbd.PlotTrackingCum(params, cbs$T.cal,
T.tot = max(cbs$T.cal + cbs$T.star), cum)
## End(Not run)
|
[,1] [,2] [,3] [,4] [,5] [,6] [,7]
actual 1.000000 16.00000 49.00000 116.0000 180.0000 267.0000 379.0000
expected 3.171686 20.46487 56.24811 110.1114 183.4823 274.9019 382.7925
[,8] [,9] [,10] [,11] [,12] [,13] [,14]
actual 493.0000 631.0000 772.0000 931.0000 1105.000 1305.000 1478.000
expected 506.5259 644.6476 796.6312 961.7158 1139.415 1328.743 1519.532
[,15] [,16] [,17] [,18] [,19] [,20] [,21]
actual 1667.000 1800.000 1980.000 2137.000 2283.000 2410.000 2548.000
expected 1706.071 1887.494 2063.866 2235.474 2402.654 2565.729 2724.999
[,22] [,23] [,24] [,25]
actual 2687.000 2790.000 2931.000 3038.00
expected 2880.735 3033.181 3182.554 3329.05
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