hist.sbm {sbd} | R Documentation |
Plot size biased distribution
Description
Plots the frequency histogram of data from a size biased model, with fitted parametric distribution line if the model is parametric without covariates.
Usage
## S3 method for class 'sbm'
hist(x, log = TRUE, add = FALSE, breaks = 20, lpar = list(col = "red"), ...)
Arguments
x |
A size biased model fit of class |
log |
A logical specifying whether to plot the log transformed or untransformed data distribution. |
add |
A logical specifying whether to create a new plot, or add a parametric distribution curve to an existing plot. |
breaks |
Integer defining number of breaks when generating histogram
(passed to |
lpar |
A list of plotting parameters controlling appearance of the
density curve line (if present - passed to |
... |
Additional parameters passed to |
Value
None.
Examples
# Fit and plot log-normal and Weibull models
data(BCI_speed_data)
agoutiData <- subset(BCI_speed_data, species=="agouti")
lmod <- sbm(speed~1, agoutiData, pdf="lnorm")
wmod <- sbm(speed~1, agoutiData, pdf="weibull")
hist(lmod, breaks = 40)
hist(wmod, add=TRUE, lpar=list(col="blue"))
[Package sbd version 0.1.0 Index]