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Commit a5ed8986 authored by Sebastian Henz's avatar Sebastian Henz
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Last documentation fixes

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......@@ -12,7 +12,7 @@
* Fixed some errors in the documentation and improved the examples.
## New
* Exporte function `log10_ticks()` for calculating tick mark labels and positions on a base 10 logarithmic axis.
* Export function `log10_ticks()` for calculating tick mark labels and positions on a base 10 logarithmic axis.
* Add example data set `multiple_stress` for use with `multi_tox()`.
* Various minor changes to prepare for CRAN submission.
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......@@ -22,9 +22,10 @@
#' Survival of Daphnia magna exposed to multiple stressors
#'
#' Individuals of Daphnia magna were exposed to combinations of food stress and
#' multiple concentrations of the pesticides esfenvalerate and prochloraz.
#' The survival was recorded at 21 days after contamination.
#' A data set of mixture toxicity experiments. Individuals of Daphnia magna were
#' exposed to combinations of food stress and multiple concentrations of the
#' pesticides esfenvalerate and prochloraz. The survival was recorded at 21 days
#' after contamination.
#'
#' @format A data frame with 58 rows and 4 variables:
#' \describe{
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......@@ -25,11 +25,11 @@
#'
#' The predictions are symmetric, i.e. it does not matter which of the toxicant
#' models is a or b as long as the concentration arguments are supplied in the
#' same order. See the example below.
#' same order.
#'
#' This method is only suitable for experiments without environmental stress.
#' Any environmental stress supplied as arguments to \code{\link{ecxsys}} in
#' \code{model_a} or \code{model_b} is ignored.
#' This method is only suitable for experiments without or with low
#' environmental stress. Any environmental stress supplied as arguments to
#' \code{\link{ecxsys}} in \code{model_a} or \code{model_b} is ignored.
#'
#' @param model_a,model_b The ecxsys models of the toxicants.
#' @param concentration_a,concentration_b The concentrations of the toxicants in
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......@@ -26,7 +26,7 @@
#'
#' @name plot_ecxsys
#'
#' @param model The list returned from \code{\link{ecxsys}}.
#' @param model The object returned from \code{\link{ecxsys}}.
#' @param which A vector of names to plot. Allowed are the column names of the
#' \code{model$curves} data frame. There is also
#' \code{"survival_tox_observed"} and \code{"survival_tox_env_observed"} for
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......@@ -41,11 +41,11 @@ details.
\details{
The predictions are symmetric, i.e. it does not matter which of the toxicant
models is a or b as long as the concentration arguments are supplied in the
same order. See the example below.
same order.
This method is only suitable for experiments without environmental stress.
Any environmental stress supplied as arguments to \code{\link{ecxsys}} in
\code{model_a} or \code{model_b} is ignored.
This method is only suitable for experiments without or with low
environmental stress. Any environmental stress supplied as arguments to
\code{\link{ecxsys}} in \code{model_a} or \code{model_b} is ignored.
}
\examples{
# Using a data set which is included in this package. See ?multiple_stress
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......@@ -26,8 +26,9 @@ A data frame with 58 rows and 4 variables:
multiple_stress
}
\description{
Individuals of Daphnia magna were exposed to combinations of food stress and
multiple concentrations of the pesticides esfenvalerate and prochloraz.
The survival was recorded at 21 days after contamination.
A data set of mixture toxicity experiments. Individuals of Daphnia magna were
exposed to combinations of food stress and multiple concentrations of the
pesticides esfenvalerate and prochloraz. The survival was recorded at 21 days
after contamination.
}
\keyword{datasets}
......@@ -26,7 +26,7 @@ plot_survival(
)
}
\arguments{
\item{model}{The list returned from \code{\link{ecxsys}}.}
\item{model}{The object returned from \code{\link{ecxsys}}.}
\item{which}{A vector of names to plot. Allowed are the column names of the
\code{model$curves} data frame. There is also
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