tableBuilder | R Documentation |

Currently cannot do freqs for final outcomes (can only do freqs for those vars with binbreaks) Also currently can only use a true categorical variable as a groupby variable - this coould be changed.

```
tableBuilder(
env,
statistic = c("frequencies", "means", "quantiles"),
variableName,
dict = env$dict,
grpbyName = "",
CI = TRUE,
logisetexpr = "",
envBase = NULL,
basePop = FALSE,
digits = 1
)
```

`statistic` |
the summary measure to use in producing the dataset - frequencies, means, quantiles |

`variableName` |
the variable to use in producing the dataset |

`dict` |
Dictionary object. |

`grpbyName` |
a subgroup by which to examine the variable |

`CI` |
logical indicating whether 95% confidence intervals should be generated |

`logisetexpr` |
a character expression which defines the logiset variable |

`basePop` |
logical which to allow the users to used the base population |

`digits` |
integer indicating the number of decimal places |

`envName` |
the environment to use - Base, Scenario etc. |

`binbreaks` |
The binbreaks for the outcome variable. |

`env.base` |
Base simulation results |

If the user defined a logiset/subgroup expression inthe scenario weightings screen and then goes to tableBuilder() and sets a grpbyName, then the results they get will be on the entire dataset, not just on their subgroup they defined earlier. The user can not define a logiset expression in tableBuilder - the logisetexpr parameter is there so it can be used to show the user, in the scenario weightings screen, the distributions of the variable of interest for their subgroup only so they can better choose the proportions for their subgroup scenario.

a summary table for the entire or subgroup of the variable of interest.

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