h_plot_data_dataordinal | R Documentation |
A method that creates a plot for Data
and DataOrdinal
objects.
A method that creates a plot for Data
object.
A method that creates a plot for DataOrdinal
object.
h_plot_data_dataordinal(
x,
blind = FALSE,
legend = TRUE,
tox_labels = c(Yes = "red", No = "black"),
tox_shapes = c(Yes = 17L, No = 16L),
...
)
## S4 method for signature 'Data,missing'
plot(x, y, blind = FALSE, legend = TRUE, ...)
## S4 method for signature 'DataOrdinal,missing'
plot(
x,
y,
blind = FALSE,
legend = TRUE,
tox_labels = NULL,
tox_shapes = NULL,
...
)
x |
( |
blind |
( |
legend |
( |
tox_labels |
( |
tox_shapes |
( |
... |
not used. |
y |
( |
The ggplot2
object.
The ggplot2
object.
The ggplot2
object.
The default values of tox_shapes
and tox_labels
result in DLTs
being displayed as red triangles and other responses as black circles.
With more than 9 toxicity categories, toxicity symbols must be
specified manually.
With more than 5 toxicity categories, toxicity labels
must be specified manually.
# Create some data of class 'Data'.
my_data <- Data(
x = c(0.001, 0.1, 0.1, 0.5, 0.001, 3, 3, 0.001, 10, 10, 10),
y = c(0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0),
cohort = c(1, 1, 1, 2, 3, 3, 3, 4, 4, 4, 4),
doseGrid = c(0.001, 0.1, 0.5, 1.5, 3, 6, seq(from = 10, to = 80, by = 2)),
placeb = TRUE
)
# Plot the data.
plot(my_data)
data <- DataOrdinal(
x = c(10, 20, 30, 40, 50, 50, 50, 60, 60, 60),
y = as.integer(c(0, 0, 0, 0, 0, 1, 0, 0, 1, 2)),
ID = 1L:10L,
cohort = as.integer(c(1:4, 5, 5, 5, 6, 6, 6)),
doseGrid = c(seq(from = 10, to = 100, by = 10)),
yCategories = c("No tox" = 0L, "Sub-tox AE" = 1L, "DLT" = 2L),
placebo = FALSE
)
plot(data)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.