uwSimpleReg: Scatter Plot with Simple Linear Regression Line

In jbirstler/biostatrpts: Functions for UW-Biostatistics Report Creation

Description

This function creates a scatter plot of two continuous variables and adds the fitted simple linear regression line.

Usage

uwSimpleReg(
  Data,
  respVar,
  depVar,
  printPVal = TRUE,
  printModel = TRUE,
  printRsq = TRUE,
  returnList = TRUE,
  ...
)

Arguments

Data	Data frame with response and dependent variable
respVar	String of the response variable's name in Data
depVar	String of the dependent variable's name in Data
printPVal	Logical: TRUE indicates p-value for beta1 = 0 is printed in margin of plot
printModel	Logical: TRUE indicates fitted model is printed in margin of plot
printRsq	Logical: TRUE indicates multiple R-squared is printed in margin of plot
returnList	Logical: TRUE returns list of Coefficient and P-Value
...	Any other arguments that can be used by plot()

Value

Plots a scatterplot and regression line. Returns list of beta1 coefficient and p-value

Author(s)

University of Wisconsin-Madison Biostatistics and Medical Informatics Department, Scott Hetzel M.S.

See Also

plot(), abline(), lm()

Examples

Xvar <- rnorm(50, -10, 1)
Yvar <- 0.5 * Xvar + rnorm(50, 0, 1)

dfLin <- data.frame(Xvar, Yvar)

layout(1)
uwSimpleReg(
  Data = dfLin, respVar = "Yvar", depVar = "Xvar",
  main = "Example of uwSimpleReg",
  ylab = "Example Response", xlab = "Example Explanatory",
  ylim = NULL, xlim = NULL, printPVal = TRUE, printModel = TRUE, printRsq = TRUE
)

jbirstler/biostatrpts documentation built on May 7, 2020, 12:10 a.m.