plot_residual_vs_fitted: Plot residual vs. fitted plots for your data

In pernille267/commutability.selectivity: Commutability and non-selectivity evaluation tools

Plot residual vs. fitted plots for your data

Description

Plot residual vs. fitted plots for your data

Usage

plot_residual_vs_fitted(
  data,
  raw = TRUE,
  MOR = TRUE,
  groups = "Comparison",
  units = "mmol/L",
  studentize = TRUE,
  include_curve = TRUE,
  save = FALSE,
  save_path = getwd(),
  save_name = "Auto",
  save_device = "pdf",
  size = 8
)

Arguments

data	A data table or data frame grouped by Comparison where for each comparison, residuals and fitted values are included. If you use a raw data set of type LFDT you must specify MOR, raw and groups correctly. See residual_vs_fitted() for more information
raw	Is data raw, or is it on the appropriate form described in the data argument
MOR	Is your data table containing mean of replicates? Only need to specify if raw = TRUE
groups	What are the grouping column names? Only need to specify if raw = TRUE
units	The units of the analyte considered. These are included in the x-axis and y-axis names of the plots
studentize	Should we studentize the residuals. Default is TRUE
include_curve	Should a smoothing curve be included? Default is TRUE
save	Save plot to disk. Default is FALSE. If TRUE, you may specify saving location, file and other with the next four parameters
save_path	Saving location given by a string. Default is the working directory
save_name	Name of the plot used to save. If save_name = 'Auto', a generic name is used based on data
save_device	What file do you want to save the plot as. Valid inputs are 'pdf', 'png', 'jpeg', and more. Using 'png' will produce plots with retina dpi
size	What should the size of the saved plot be? The number specified is the height of the plot. The width of the plot is calculated based on this and the golden ratio

Value

A plot (ggplot2 object) based on data.

Examples

print(1)

pernille267/commutability.selectivity documentation built on July 20, 2022, 9:11 a.m.