apci.plot.raw {APCI}

Plotting age and period patterns

Description

Visualize the age and period patterns by plotting the raw scores in each age and period square.

Usage

apci.plot.raw(data, outcome_var, age, period, ...)

Arguments

data

A data frame containing the outcome variable, age group indicator, period group indicator, and covariates to be used in the model. If the variable(s) are not found in data, there will be an error message reminding the users to check the input data again.

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.

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.

...

Additional arguments to be passed to the function.

Value

A plot with two panels showing the age and period trends separately.

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)

# plot the raw pattern
apci.plot.raw(data = test_data, outcome_var = "inlfc",age = "acc",
              period = "pcc")