Plot confidence intervals
Usage
plot_ci(
data,
order = "none",
custom_order = NULL,
nudge = 0.3,
log_scale = FALSE,
x_lab = NULL,
y_lab = NULL,
title = NULL
)Arguments
- data
A data frame with the results of the BMD analysis. Data must contain columns "Response", "BMD", "BMDL", and "BMDU". BMD values can be NA.
- order
Indicates how the responses should be ordered. Options are "none" (default), "asc" for ascending BMD values, "desc" for descending BMD values, or a custom order.
- custom_order
A character vector with the custom order of the Responses.
- nudge
A numeric value to nudge the text labels away from points. Default is 0.3.
- log_scale
A logical value indicating if the x-axis should be in log10 scale. Default is false.
- x_lab
A character string with the x-axis label. Default is "BMD" or "log10(BMD)" if log_scale is TRUE.
- y_lab
A character string with the y-axis label. Default is "Response".
- title
A character string with the plot title. Default is "BMD with 90% Confidence Intervals".
Examples
# Plot results from PROAST and ToxicR
dat <- data.frame(Response = c("PROAST MF Min", "PROAST MF Max", "ToxicR MF Min", "ToxicR MF Max"),
BMD = c(NA, NA, 9.641894, 8.100164),
BMDL = c(7.38, 2.98, 8.032936,5.463013),
BMDU = c(10.9, 7.68, 10.97636, 10.04638))
plot <- plot_ci(dat)