Plots species sensitivity data and distributions.
Usage
ssd_plot(
data,
pred,
left = "Conc",
right = left,
...,
label = NULL,
shape = NULL,
color = NULL,
size = 2.5,
linetype = NULL,
linecolor = NULL,
xlab = "Concentration",
ylab = "Species Affected",
ci = TRUE,
ribbon = TRUE,
hc = 0.05,
shift_x = 3,
add_x = 0,
bounds = c(left = 1, right = 1),
big.mark = ",",
suffix = "%",
trans = "log10",
xbreaks = waiver()
)
Arguments
- data
A data frame.
- pred
A data frame of the predictions.
- left
A string of the column in data with the concentrations.
- right
A string of the column in data with the right concentration values.
- ...
Unused.
- label
A string of the column in data with the labels.
- shape
A string of the column in data for the shape aesthetic.
- color
A string of the column in data for the color aesthetic.
- size
A number for the size of the labels.
- linetype
A string of the column in pred to use for the linetype.
- linecolor
A string of the column in pred to use for the line color.
- xlab
A string of the x-axis label.
- ylab
A string of the x-axis label.
- ci
A flag specifying whether to estimate confidence intervals (by bootstrapping).
- ribbon
A flag indicating whether to plot the confidence interval as a grey ribbon as opposed to green solid lines.
- hc
A value between 0 and 1 indicating the proportion hazard concentration (or NULL).
- shift_x
The value to multiply the label x values by (after adding
add_x
).- add_x
The value to add to the label x values (before multiplying by
shift_x
).- bounds
A named non-negative numeric vector of the left and right bounds for uncensored missing (0 and Inf) data in terms of the orders of magnitude relative to the extremes for non-missing values.
- big.mark
A string specifying used between every 3 digits to separate thousands on the x-axis.
- suffix
Additional text to display after the number on the y-axis.
- trans
A string which transformation to use by default
"log10"
.- xbreaks
The x-axis breaks as one of:
NULL
for no breakswaiver()
for the default breaksA numeric vector of positions
Examples
ssd_plot(ssddata::ccme_boron, boron_pred, label = "Species", shape = "Group")