SimFunctions
(Package: SimDesign) :
Skeleton functions for simulations
This function prints skeleton versions of the required functions and work-flow required to run simulations, complete with the correct inputs, class of outputs, and option comments to help with the initial definitions. Use this at the start when defining your simulation.
● Data Source:
CranContrib
● Keywords:
● Alias: SimFunctions
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Summarise
(Package: SimDesign) :
Summarise simulated data using various population comparison statistics
This collapses the simulation results within each condition to composite estimates such as RMSE, bias, Type I error rates, coverage rates, etc.
● Data Source:
CranContrib
● Keywords:
● Alias: Summarise
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Attach
(Package: SimDesign) :
Attach the simulation conditions for easier reference
This function accepts the condition object used to indicate the design conditions and makes the variable names available in the environment from which it is called. This is useful primarily as a convenience function when you prefer to call the variable names in condition directly rather than indexing with condition$sample_size or with(condition, sample_size), for example.
● Data Source:
CranContrib
● Keywords:
● Alias: Attach
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SimClean
(Package: SimDesign) :
Removes/cleans files and folders that have been saved
This function is mainly used in pilot studies where results and datasets have been temporarily saved by runSimulation but should be removed before beginning the full Monte Carlo simulation (e.g., remove files and folders which contained bugs/biased results).
● Data Source:
CranContrib
● Keywords:
● Alias: SimClean
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Analyse
(Package: SimDesign) :
Compute estimates and statistics
Computes all relevant test statistics, parameter estimates, detection rates, and so on. This is the computational heavy lifting portion of the Monte Carlo simulation.
● Data Source:
CranContrib
● Keywords:
● Alias: Analyse
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Generate data from a single row in the design input (see runSimulation).
● Data Source:
CranContrib
● Keywords:
● Alias: Generate
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bias
(Package: SimDesign) :
Compute (relative) bias summary statistic
Computes the (relative) bias of a sample estimate from the parameter value. Accepts estimate and parameter values, as well as estimate values which are in deviation form. If relative bias is requested the estimate and parameter inputs are both required.
● Data Source:
CranContrib
● Keywords:
● Alias: bias
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BF_sim_alternative
(Package: SimDesign) :
(Alternative) Example simulation from Brown and Forsythe (1974)
Example results from the Brown and Forsythe (1974) article on robust estimators for variance ratio tests. Statistical tests and distributions are organized by columns and the unique design conditions are organized by rows. See BF_sim for an alternative form of the same simulation where distributions are also included in the rows. Code for this simulation is available on the wiki (https://github.com/philchalmers/SimDesign/wiki).
● Data Source:
CranContrib
● Keywords: data
● Alias: BF_sim_alternative
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aggregate_simulations
(Package: SimDesign) :
Collapse separate simulation files into a single result
This function grabs all .rds files in the working directory and aggregates them into a single data.frame object or combines all the saved results directories and combines them into one. This is generally useful when results are run piecewise on one node or run independently across different nodes/computers which are not on the same network.
● Data Source:
CranContrib
● Keywords:
● Alias: aggregate_simulations
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add_missing
(Package: SimDesign) :
Add missing values to a vector given a MCAR, MAR, or MNAR scheme
Given an input vector, replace elements of this vector with missing values according to some scheme. Default method replaces input values with a MCAR scheme (where on average 10% of the values will be replaced with NAs). MAR and MNAR are supported by replacing the default FUN argument.
● Data Source:
CranContrib
● Keywords:
● Alias: add_missing
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providing 
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