Tidy a(n) drc object
Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.
## S3 method for class 'drc' tidy(x, conf.int = FALSE, conf.level = 0.95, ...)
x |
A |
conf.int |
Logical indicating whether or not to include a confidence
interval in the tidied output. Defaults to |
conf.level |
The confidence level to use for the confidence interval
if |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
The tibble has one row for each curve and term in the regression.
The curveid column indicates the curve.
A tibble::tibble() with columns:
conf.high |
Upper bound on the confidence interval for the estimate. |
conf.low |
Lower bound on the confidence interval for the estimate. |
estimate |
The estimated value of the regression term. |
p.value |
The two-sided p-value associated with the observed statistic. |
statistic |
The value of a T-statistic to use in a hypothesis that the regression term is non-zero. |
std.error |
The standard error of the regression term. |
term |
The name of the regression term. |
curve |
Index identifying the curve. |
Other drc tidiers:
augment.drc(),
glance.drc()
if (requireNamespace("drc", quietly = TRUE)) {
library(drc)
mod <- drm(dead / total ~ conc, type,
weights = total, data = selenium, fct = LL.2(), type = "binomial"
)
tidy(mod)
tidy(mod, conf.int = TRUE)
glance(mod)
augment(mod, selenium)
}Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.