sim.plot {simfit}

Plot simulated data from a GLM model

Description

Plot simulated data from a GLM model

Usage

sim.plot(
  model,
  xpred = NULL,
  seed = NULL,
  fit.line = TRUE,
  ci = 0.95,
  npoints = "same",
  orig_jitter = 0.1,
  sim_jitter = 0.1
)

Arguments

model

a model object, from (eg) lm glm (Poisson, Negative binomial)

xpred

the predictor to be plotted on the x axis

seed

random seed so that simulation results are replicable

fit.line

if TRUE (default) adds fit line with SE

ci

passes confidence interval width for fit curve (defaults to 0.95)

npoints

number of data points to for fit line. Either specify a number, or "same" will return a simulation of the same size as the original dataset.

orig_jitter

amount of jitter to apply to original dataset (default 0.10)

sim_jitter

amount of jitter to apply to simulated data (default 0.10)

Value

ggplot object with simulated data plotted with original

Examples

## Anwar M, Green JA, Norris P, et al 
## Prospective daily diary study reporting of any and all symptoms in healthy 
## adults in Pakistan: prevalence and #' response
## BMJ Open 2017;7:e014998
data(symptom)
glm.symptom <- glm(actual_help_days ~ symp_days_reported, 
     family = "poisson", data = symptom)
sim.plot(glm.symptom)