plot_slopes: Plot derived slopes from a model fitted by 'time_model()'.

In mcanouil/eggla: Early Growth Genetics Longitudinal Analysis

Plot derived slopes from a model fitted by time_model().

Description

Plot derived slopes from a model fitted by time_model().

Usage

plot_slopes(
  fit,
  method,
  period = c(0, 0.5, 1.5, 3.5, 6.5, 10, 12, 17),
  knots = list(cubic_slope = NULL, linear_splines = c(0.75, 5.5, 11), cubic_splines =
    c(1, 8, 12))[[method]]
)

Arguments

fit	A model object from a statistical model such as from a call to time_model().
method	The type of model provided in fit, i.e., one of "cubic_slope", "linear_splines" or "cubic_splines".
period	The intervals knots on which AUCs are to be computed.
knots	The knots as defined fit and according to method.

Value

A patchwork ggplot2 object.

Examples

library(ggplot2)
library(eggla)
data("bmigrowth")
ls_mod <- time_model(
  x = "age",
  y = "log(bmi)",
  cov = NULL,
  data = bmigrowth[bmigrowth[["sex"]] == 0, ],
  method = "linear_splines"
)
plot_slopes(
  fit = ls_mod,
  method = "linear_splines"
)

mcanouil/eggla documentation built on April 5, 2025, 3:06 a.m.