apci.bar {APCI} | R Documentation |

## Make barplot for cohort effect

### Description

Visualize cohort effects estimated by APC-I model with bar plots.

### Usage

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

### Arguments

`model` |
A list recording the results from function |

`age` |
An object of class character 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 indicating the name of the outcome variable used in the model. The outcome variable can be a continuous, binary, categorical, or count variable. |

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

`...` |
Additional arguments to be passed to the function. |

### Value

A bar plot visualizing the cohort effects estimated by APC-I model.

### Examples

```
# load package
library("APCI")
# load data
test_data <- APCI::women9017
test_data$acc <- as.factor(test_data$acc)
test_data$pcc <- as.factor(test_data$pcc)
test_data$educc <- as.factor(test_data$educc)
test_data$educr <- as.factor(test_data$educr)
# fit APC-I model
APC_I <- APCI::apci(outcome = "inlfc",
age = "acc",
period = "pcc",
cohort = "ccc",
weight = "wt",
data = test_data,dev.test=FALSE,
print = TRUE,
family = "gaussian")
summary(APC_I)
## visualizing estimated cohort effects with bar plot
apci.bar(model = APC_I, age = "acc", period = "pcc")
```

*APCI*version 1.0.7 Index]