plot.dr4pl: Make a plot of a 4PL model curve and data

In dr4pl: Dose Response Data Analysis using the 4 Parameter Logistic (4pl) Model

Description

This function displays a dose-response curve and data. As a default, the x-axis represents dose levels in log 10 scale and the y-axis represents responses. The black solid line represents a dose-response curve. The blue filled circles represent data points and red triangles represent outliers.

Usage

## S3 method for class 'dr4pl'
plot(
  x,
  type.curve = "all",
  text.title = "Dose-response plot",
  text.x = "Dose",
  text.y = "Response",
  indices.outlier = NULL,
  breaks.x = NULL,
  breaks.y = NULL,
  ...
)

Arguments

x	‘dr4pl’ object whose data and mean response function will be plotted.
type.curve	Indicator of the type of a dose-response curve. "all" indicates that data and a curve will be plotted while "data" indicates that only data will be plotted.
text.title	Character string for the title of a plot with a default set to "Dose response plot".
text.x	Character string for the x-axis of the plot with a default set to "Dose".
text.y	Character string for the y-axis of the plot with a default set to "Response".
indices.outlier	Pass a vector indicating all indices which are outliers in the data.
breaks.x	Vector of desired break points for the x-axis
breaks.y	Vector of desired break points for the y-axis
...	All arguments that can normally be passed to ggplot.

Author(s)

Hyowon An, [e-mail]

Justin T. Landis, [e-mail]

Aubrey G. Bailey, [e-mail]

Examples

## Not run: 
dr4pl.1 <- dr4pl(Response ~ Dose, data = sample_data_1)

plot(dr4pl.1)

## Able to further edit plots.
library(ggplot2) #needed to change color to green
dr4pl.1 <- dr4pl(Response ~ Dose,
                        data = sample_data_1,
                        text.title = "Sample Data Plot")

a <- plot(dr4pl.1)
a + geom_point(color = "green", size = 5)

## Bring attention to outliers using parameter indices.outlier.
dr4pl.3 <- dr4pl(Response ~ Dose,
                 data = drc_error_3,
                 method.init = "Mead",
                 method.robust = "absolute")
plot(dr4pl.3, indices.outlier = c(90, 101))

## Change the plot title default with parameter text.title.
dr4pl.1 <- dr4pl::dr4pl(Response ~ Dose,
                        data = sample_data_1)
plot(dr4pl.1, text.title = "My New Dose Response plot")

##Change the labels of the x and y axis to your need
library(drc)  # Needed to load 'decontaminants' data set
data.hpc <- subset(decontaminants, group %in% "hpc")
dr4pl.hpc <- dr4pl(count~conc, data = data.hpc)
plot(dr4pl.hpc,
     text.title = "hpc Decontaminants Plot",
     text.x = "Concentration",
     text.y = "Count")

## End(Not run)

dr4pl documentation built on Aug. 17, 2021, 5:06 p.m.