apci.bar {APCI} | R Documentation |

make barplot for cohort effect

```
apci.bar(model, age, period, outcome_var,
cohort_label = NULL, ...)
```

`model` |
A list, inheriting the corresponding results generated by function apci. |

`age` |
A vector, representing the age group index taking on a small number of distinct values in the data. Usually, the vector should be converted to a factor (or the terms of "category" and "enumerated type"). |

`period` |
An object of class character, similar to the argument of age, representing the time period index in the data. |

`outcome_var` |
An object of class character representing the name of the outcome variable used in APC-I model. The outcome variable itself can be numerical and categorical. |

`cohort_label` |
A vector, representing the labels of cohort groups in the x asix. |

`...` |

```
library("APCI")
## load data
test_data <- APCI::women9017
test_data$acc <- as.factor(test_data$acc)
test_data$pcc <- as.factor(test_data$pcc)
## run APCI model
APC_I <- apci(outcome = "inlfc",
age = "acc",
period = "pcc",
cohort = "ccc",
weight = "wt",
data = test_data,dev.test=FALSE,
family = "gaussian")
## plot the bar plot
apci.bar(model = APC_I, age = "acc",period = "pcc")
```

[Package *APCI* version 1.0.6 Index]