predict_with_observations_plot

Description

Plots predictions of the model with observed values

Usage

predict_with_observations_plot(
  data,
  fit,
  conc_col,
  dv_col,
  treatment_predictors,
  control_predictors = NULL,
  reference_threshold = c(
  10
),
  conf_int = 0.9,
  xlabel = "Concentration (
  ng/mL
)",
  ylabel = bquote(
  Delta ~ "QTc (
  ms
)"
),
  title = ""
)

Arguments

Name	Description
data	a dataframe of QTc dataset
fit	the lme model to make predictions with
conc_col	an unquoted column name of drug concentration measurements
dv_col	an unquoted column name of dQTC measurements
treatment_predictors	a list for predictions with model. Should contain a value for each predictor in the model.
control_predictors	an optional list for contrast predictions
reference_threshold	optional vector of numbers to add as horizontal dashed lines
conf_int	a float for the fractional confidence interval. default = 0.9
xlabel	a string for xlabel
ylabel	a string for ylabel
title	a string of the plot title

Returns

a plot

Examples

data <- preprocess(data)
 fit <- fit_prespecified_model(
   data,
   deltaQTCF,
   ID,
   CONC,
   deltaQTCFBL,
   TRTG,
   TAFD,
   "REML",
   TRUE
 )
 predict_with_observations_plot(
   data,
   fit,
   CONC,
   deltaQTCF,
   list(
     CONC = 0,
     TRTG = "Verapamil HCL",
     TAFD = "2 HR",
     deltaQTCFBL = 0
   ),
   conf_int = 0.9
 )