Abstract | Introduction | SI | Related work in R | UNIDATA's udunits library | Udunits versus the Unified Code for Units of Measure (UCUM) | Handling data with units in R: the units package | Discussion and conclusions | Acknowledgements | References

Setting units, unit conversion | Unit conversion | Basic manipulations | Arithmetic operations | Unit simplification | Mathematical functions | Summary functions | Printing | Subsetting | Concatenation | Conversion to/from difftime | units in matrix objects | units objects in data.frames | Formatting | Plotting

Introduction | Propagation of uncertainty | Taylor series method | Monte Carlo method | Reporting uncertainty | Related work | Automated uncertainty handling in R: the errors package | Package description and usage | Example: Simultaneous resistance and reactance measurement | Example: Calibration of a thermometer | Discussion | Summary and future work

Introduction | Propagation of uncertainty | Taylor series method | Monte Carlo method | Reporting uncertainty | Related work | Automated uncertainty handling in R: the errors package | Package description and usage | Example: Simultaneous resistance and reactance measurement | Example: Calibration of a thermometer | Discussion | Summary and future work

Introduction | A single customer | A customer arriving at a fixed time | A customer arriving at random | More customers | Many customers | Many random customers | A Service counter | One Service counter | A server with a random service time | Several Service Counters | Several Counters but a Single Queue | Several Counters with individual queues | The bank with a monitor (aka summary statistics) | Multiple runs

Introduction | Priority customers | Priority customers without preemption | Priority customers with preemption | Balking and reneging customers | Balking customers | Reneging (or abandoning) customers | Interrupting a process | Wait until the bank door opens | Wait for the doorman to give a signal | Monitors | Plotting a histogram of monitor results | Monitoring a resource | Plotting from resource monitors

M/M/c/k systems | Custom service policies | State-dependent service rates | Queueing Networks

Introduction | A single customer | A customer arriving at a fixed time | A customer arriving at random | More customers | Many customers | Many random customers | A Service counter | One Service counter | A server with a random service time | Several Service Counters | Several Counters but a Single Queue | Several Counters with individual queues | The bank with a monitor (aka summary statistics) | Multiple runs

Introduction | Priority customers | Priority customers without preemption | Priority customers with preemption | Balking and reneging customers | Balking customers | Reneging (or abandoning) customers | Interrupting a process | Wait until the bank door opens | Wait for the doorman to give a signal | Monitors | Plotting a histogram of monitor results | Monitoring a resource | Plotting from resource monitors

M/M/c/k systems | Custom service policies | State-dependent service rates | Queueing Networks

Introduction | The simulation core design | Terminology | Architecture | The event queue | The simultaneity problem | The trajectory object | Arrival properties | Interaction with resources | Interaction with sources | Branching | Loops | Batching | Asynchronous programming | Reneging | The simulation environment | Resources | Sources | Monitoring and data retrieval | Queuing systems | Replication and parallelization | Best practices | Performance evaluation | Comparison with similar frameworks | Summary | References

Introduction | The simulation core design | Terminology | Architecture | The event queue | The simultaneity problem | The trajectory object | Arrival properties | Interaction with resources | Interaction with sources | Branching | Loops | Batching | Asynchronous programming | Reneging | The simulation environment | Resources | Sources | Monitoring and data retrieval | Queuing systems | Replication and parallelization | Best practices | Performance evaluation | Comparison with similar frameworks | Summary | References

A motivating example | More compelling examples | Delayed release | Parallel tasks | Interleaved resources | Contributing

A motivating example | More compelling examples | Delayed release | Parallel tasks | Interleaved resources | Contributing

Basic usage | Replication | Basic visualisation tools

Available set of activities | Dynamic arguments | Interaction with the environment | Trajectory toolbox: joining and subsetting

Introduction | Carwash | Machine Shop | Movie Renege | Gas Station Refuelling

Example 1 | Example 2

Problem description | Simulation

Abstract | Crosshauling of FH and BH traffic | Mobile traffic backhauling with FTTx | Energy efficiency for massive IoT

Basic usage | Replication | Basic visualisation tools

Available set of activities | Dynamic arguments | Interaction with the environment | Trajectory toolbox: joining and subsetting

Introduction | Carwash | Machine Shop | Movie Renege | Gas Station Refuelling

Example 1 | Example 2

Problem description | Simulation

Abstract | Crosshauling of FH and BH traffic | Mobile traffic backhauling with FTTx | Energy efficiency for massive IoT

Introduction | Available parsers

Introduction | Available parsers

Simulation example | Basic visualisation tools

Simulation example | Basic visualisation tools

Introduction | R Base | Row Subsetting | Row Ordering | Column Transformation | Row Aggregation | Column Joining | (Un)Pivoting | Plotting | Tidyverse | Summary | A Note on data.table

Introduction | R Base | Row Subsetting | Row Ordering | Column Transformation | Row Aggregation | Column Joining | (Un)Pivoting | Plotting | Tidyverse | Summary | A Note on data.table

The model | Measurements | Model accuracy | Effect of corrections | Model transformation and fit | Results | Beethoven's metronome

Data set | Tempo extraction | First steps | Data cleaning | Validation | Results | By conductor | By mark | Metronome distortions