plot_glsmr: Plot functions for glsmr objects

In hughesevoanth/glsmr: GAM and linear stratified observational and MR estimates of exposure on outcome

Plot functions for glsmr objects

Description

This function makes a few useful plots for glsmr objects

Usage

plot_glsmr(
  glsmr_obj,
  add_strata_2_curves = FALSE,
  add_strata_2_points = FALSE,
  brewer_col = "Set1",
  old_plot_scheme = FALSE,
  old_GAM_smooths = FALSE,
  plot_obs_res_betas = FALSE,
  pval_thresh = 0.05
)

Arguments

glsmr_obj	a glsmr object from the function glsmr()
add_strata_2_curves	binary TRUE or FALSE if strata boundaries should be illustrated to curve plots
add_strata_2_points	binary TRUE or FALSE if strata boundaries should be illustrated to dot plots
brewer_col	a brewer.pal color palette string
old_plot_scheme	set to TRUE to get an older version of the plot
old_GAM_smooths	binary TRUE or FALSE. The Default is FALSE. If TRUE the linear and GAM smooths will be derived from the complete data set and the geom_smooth() function of ggplot2, not from predicted values derived from the fitted models.
plot_obs_res_betas	set to TRUE to plot GAM residualized effect estimates for observational data
pval_thresh	The pvalue threshold to use to indicate which point estimates indicate an association between exposure and outcome. The default value is 0.05.

Value

ggplot figure

Examples

plot_glsmr()

hughesevoanth/glsmr documentation built on May 14, 2023, 3:41 p.m.