apci.bar: Visualization for the APC-I model results

In Jiahui1902/APCI: A New Age-Period-Cohort Model for Describing and Investigating Inter-Cohort Differences and Life Course Dynamics

Visualization for the APC-I model results

Description

Visualize the APC-I model results in a simple bar plot.

Usage

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

Arguments

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.
...

Examples

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")

Jiahui1902/APCI documentation built on Sept. 6, 2024, 3:40 a.m.