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chore(lint/re-run): lint and re-run rmd
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‎DESCRIPTION‎

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lintr,
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devtools,
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xtable,
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data.table
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data.table,
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mockery
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Config/testthat/edition: 3

‎outputs/cores1.png‎

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‎outputs/cores2.png‎

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‎rmarkdown/analysis.Rmd‎

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```{r}
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nan_experiment <- runner(parameters(patient_inter = 0.5))
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tail(nan_experiment[["arrivals"]])
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nan_experiment[["arrivals"]] %>%
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arrange(replication, start_time) %>%
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tail()
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```
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```{r}

‎rmarkdown/analysis.md‎

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Analysis
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================
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Amy Heather
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2025-03-17
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2025-03-18
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- [Set up](#set-up)
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- [Default run](#default-run)
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```
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## % latex table generated in R 4.4.1 by xtable 1.8-4 package
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## % Mon Mar 17 15:49:56 2025
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## % Tue Mar 18 11:22:35 2025
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## \begin{table}[ht]
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## \centering
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## \begin{tabular}{rrllll}
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```
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## % latex table generated in R 4.4.1 by xtable 1.8-4 package
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## % Mon Mar 17 15:50:37 2025
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## % Tue Mar 18 11:23:15 2025
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## \begin{table}[ht]
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## \centering
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## \begin{tabular}{rrl}
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``` r
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nan_experiment <- runner(parameters(patient_inter = 0.5))
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tail(nan_experiment[["arrivals"]])
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nan_experiment[["arrivals"]] %>%
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arrange(replication, start_time) %>%
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tail()
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```
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## name start_time end_time activity_time resource replication
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## 16136 patient78 38.80769 NA NA nurse 100
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## 16137 patient74 37.63360 NA NA nurse 100
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## 16138 patient76 38.71731 NA NA nurse 100
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## 16139 patient134 64.35663 NA NA nurse 100
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## 16140 patient73 36.35539 NA NA nurse 100
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## 16141 patient77 38.74436 NA NA nurse 100
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## 16136 patient153 75.03500 NA NA nurse 100
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## 16137 patient154 75.42285 NA NA nurse 100
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## 16138 patient155 77.16121 NA NA nurse 100
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## 16139 patient156 77.55231 NA NA nurse 100
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## 16140 patient157 78.98730 NA NA nurse 100
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## 16141 patient158 79.84263 NA NA nurse 100
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## serve_start serve_length wait_time wait_time_unseen
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## 16136 NA NA NA 41.19231
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## 16137 NA NA NA 42.36640
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## 16138 NA NA NA 41.28269
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## 16139 NA NA NA 15.64337
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## 16140 NA NA NA 43.64461
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## 16141 NA NA NA 41.25564
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## 16136 NA NA NA 4.9649970
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## 16137 NA NA NA 4.5771491
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## 16138 NA NA NA 2.8387887
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## 16139 NA NA NA 2.4476942
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## 16140 NA NA NA 1.0126951
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## 16141 NA NA NA 0.1573668
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``` r
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nan_experiment[["run_results"]][c(
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cat(sprintf("Notebook run time: %dm %ds", minutes, seconds))
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```
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## Notebook run time: 2m 19s
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## Notebook run time: 2m 2s

‎rmarkdown/choosing_cores.md‎

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Choosing cores
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================
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- [Set up](#set-up)
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- [Run time with varying number of CPU
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```
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##
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## ── R CMD build ───────────────────────────────────────────────────────────────────────────────
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## ── R CMD build ─────────────────────────────────────────────────
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## checking for file ‘/home/amy/Documents/stars/rap_template_r_des/DESCRIPTION’ ... ✔ checking for file ‘/home/amy/Documents/stars/rap_template_r_des/DESCRIPTION’
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## ─ preparing ‘simulation’:
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## checking DESCRIPTION meta-information ... ✔ checking DESCRIPTION meta-information
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## ─ building ‘simulation_0.1.0.tar.gz’
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##
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## Running /opt/R/4.4.1/lib/R/bin/R CMD INSTALL \
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## /tmp/RtmpJhKlRH/simulation_0.1.0.tar.gz --install-tests
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## /tmp/Rtmp2ijted/simulation_0.1.0.tar.gz --install-tests
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## * installing to library ‘/home/amy/.cache/R/renv/library/rap_template_r_des-cd7d6844/linux-ubuntu-noble/R-4.4/x86_64-pc-linux-gnu’
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## * installing *source* package ‘simulation’ ...
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## ** using staged installation
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cat(sprintf("Notebook run time: %dm %ds", minutes, seconds))
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```
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## Notebook run time: 2m 22s
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## Notebook run time: 2m 14s

‎rmarkdown/choosing_replications.md‎

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cat(sprintf("Notebook run time: %dm %ds", minutes, seconds))
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```
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## Notebook run time: 1m 31s
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## Notebook run time: 1m 29s

‎rmarkdown/choosing_warmup.md‎

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Choosing warm-up length
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- [Set-up](#set-up)
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- [Determining appropriate warm-up

‎rmarkdown/generate_exp_results.md‎

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Generate expected results
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- [Set-up](#set-up)
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- [Base case](#base-case)

‎rmarkdown/logs.md‎

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Logs
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- [Set up](#set-up)
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- [Simulation run with logs printed to the

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