plot.LD50 | R Documentation |
Plot the estimates that best describe lethality of doses.
## S3 method for class 'LD50'
plot(
x,
...,
las.x = 1,
las.y = 1,
lab.PT = "LD50",
at = NULL,
lab.TRD = paste0("Transitional range of doses l=", l * 100, "%"),
col.TRD = "gray",
col.TRD.CI = rgb(0.8, 0.8, 0.8, 0.5),
col.PT.CI = rgb(0.8, 0.8, 0.8, 0.5),
show.CI = TRUE
)
x |
A result file generated by IC50() |
... |
Parameters for plot() |
las.x |
las parameter for x axis |
las.y |
las parameter for y axis |
lab.PT |
Label to describe pivotal dose |
at |
Position of ticks in x-axis |
lab.TRD |
Label to describe transitional range of dose |
col.TRD |
The color of TRD |
col.TRD.CI |
The color of CI of TRD based on range.CI |
col.PT.CI |
The color of CI of PT based on range.CI |
show.CI |
Do the CI for the curve should be shown |
plot.LD50 plot result of IC50() that best describe IC50
Nothing
Marc Girondot marc.girondot@gmail.com
Other LD50 functions:
LD50()
,
LD50_MHmcmc()
,
LD50_MHmcmc_p()
,
logLik.LD50()
,
predict.LD50()
## Not run:
data <- data.frame(Doses=c(80, 120, 150, 150, 180, 200),
Alive=c(10, 12, 8, 6, 2, 1),
Dead=c(0, 1, 5, 6, 9, 15))
LD50_logistic <- LD50(data, equation="logistic")
predict(LD50_logistic, doses=c(140, 170))
plot(LD50_logistic, xlim=c(0, 300))
## End(Not run)
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