From efe6cb01958b7fdc4bc59e8f6e232e28f34210fc Mon Sep 17 00:00:00 2001 From: Anthony Date: Fri, 17 Nov 2017 17:22:26 +1000 Subject: [PATCH] Added link to arXiv preprint. --- README.Rmd | 8 ++++---- README.md | 17 ++++++++--------- 2 files changed, 12 insertions(+), 13 deletions(-) diff --git a/README.Rmd b/README.Rmd index aaef17b..ffe189f 100644 --- a/README.Rmd +++ b/README.Rmd @@ -44,6 +44,10 @@ The focus on this package is: It is up to the user to provide arrival and service times, and therefore very complicated distributions can be simulated (by the user) and tested with this package. +For detailed information regarding the algorithm used in this package see our arXiv preprint: + +Ebert, A., Wu, P., Mengersen, K., & Ruggeri, F. (2017). [Computationally Efficient Simulation of Queues: The R Package queuecomputer](https://arxiv.org/abs/1703.02151). arXiv preprint arXiv:1703.02151. + ## Installation ```{r, eval = FALSE} @@ -88,10 +92,6 @@ summary(queue_1) summary(queue_2) ``` -## More information - -For more information on how to use the package see the package vignettes or the R help files. - ## Acknowledgements I'd like to thank my supervisors [Professor Kerrie Mengersen](https://bragqut.wordpress.com/mengersen/), [Dr Paul Wu](https://bragqut.wordpress.com/people/research-staff/wu/) and [Professor Fabrizio Ruggeri](http://www.mi.imati.cnr.it/fabrizio/). diff --git a/README.md b/README.md index cf29213..ae5e074 100644 --- a/README.md +++ b/README.md @@ -28,6 +28,10 @@ The focus on this package is: It is up to the user to provide arrival and service times, and therefore very complicated distributions can be simulated (by the user) and tested with this package. +For detailed information regarding the algorithm used in this package see our arXiv preprint: + +Ebert, A., Wu, P., Mengersen, K., & Ruggeri, F. (2017). [Computationally Efficient Simulation of Queues: The R Package queuecomputer](https://arxiv.org/abs/1703.02151). arXiv preprint arXiv:1703.02151. + Installation ------------ @@ -77,7 +81,7 @@ head(arrivals_1) head(queue_1$departures_df) #> # A tibble: 6 x 6 #> arrivals service departures waiting system_time server -#> +#> #> 1 100.7552 0.1890576 100.9442 -6.383782e-15 0.1890576 1 #> 2 101.9368 2.5656478 104.5025 4.440892e-15 2.5656478 2 #> 3 102.0825 1.6870828 103.7696 0.000000e+00 1.6870828 1 @@ -89,7 +93,7 @@ head(arrivals_2) head(queue_2$departures_df) #> # A tibble: 6 x 6 #> arrivals service departures waiting system_time server -#> +#> #> 1 120.3923 5.1599751 125.5523 -2.664535e-15 5.159975 1 #> 2 105.6711 1.5841166 107.2552 0.000000e+00 1.584117 1 #> 3 227.5242 0.1136285 290.7928 6.315502e+01 63.268650 1 @@ -107,7 +111,7 @@ summary(queue_1) #> Mean response time: #> 13.7 #> Utilization factor: -#> 0.38410206651912 +#> 0.384 #> Mean queue length: #> 3.7 #> Mean number of customers in system: @@ -123,18 +127,13 @@ summary(queue_2) #> Mean response time: #> 37.2 #> Utilization factor: -#> 0.519160307775743 +#> 0.519 #> Mean queue length: #> 5.71 #> Mean number of customers in system: #> 6.21 ``` -More information ----------------- - -For more information on how to use the package see the package vignettes or the R help files. - Acknowledgements ----------------