Description Usage Arguments Value Examples

Outcomes are the dependent variables of the statistical models. This function supports both string inputs and actual variables as found in tidy-selection. The inputs should be separated by a comma, where each input is a different outcome You can also specify labels for each outcome.

1 | ```
set_outcomes(object, ..., labels = NULL)
``` |

`object` |
An aba model. The model for which you want to set outcomes |

`...` |
strings or variables. Each comma-seperated value will be a new outcome. If you give variables, then the data of the aba model should already be set. |

`labels` |
vector of strings. Optional labels for printing & plotting. |

An aba model with outcomes set.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ```
data <- adnimerge %>% dplyr::filter(VISCODE == 'bl')
# set with variables
model <- aba_model() %>%
set_data(data) %>%
set_outcomes(CDRSB, ADAS13, MMSE)
# supply labels
model <- aba_model() %>%
set_data(data) %>%
set_outcomes(CDRSB, ADAS13, MMSE, labels=c('CDR-SB','ADAS-13','MMSE'))
# supply strings - data does not need to be set first here. But it will
# result in an error if these variables do not éxist in the eventual data.
model <- aba_model() %>%
set_outcomes('CDRSB', 'ADAS13', 'MMSE')
``` |

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