View source: R/tm_g_association.R
tm_g_association | R Documentation |
teal
module: Stack plots of variables and show association with reference variableModule provides functionality for visualizing the distribution of variables and their association with a reference variable. It supports configuring the appearance of the plots, including themes and whether to show associations.
tm_g_association(
label = "Association",
ref,
vars,
show_association = TRUE,
plot_height = c(600, 400, 5000),
plot_width = NULL,
distribution_theme = c("gray", "bw", "linedraw", "light", "dark", "minimal", "classic",
"void"),
association_theme = c("gray", "bw", "linedraw", "light", "dark", "minimal", "classic",
"void"),
pre_output = NULL,
post_output = NULL,
ggplot2_args = teal.widgets::ggplot2_args(),
transformators = list(),
decorators = list()
)
Object of class teal_module
to be used in teal
applications.
This module generates the following objects, which can be modified in place using decorators:
plot
(grob
created with ggplot2::ggplotGrob()
)
A Decorator is applied to the specific output using a named list of teal_transform_module
objects.
The name of this list corresponds to the name of the output to which the decorator is applied.
See code snippet below:
tm_g_association( ..., # arguments for module decorators = list( plot = teal_transform_module(...) # applied to the `plot` output ) )
For additional details and examples of decorators, refer to the vignette
vignette("decorate-module-output", package = "teal.modules.general")
.
To learn more please refer to the vignette
vignette("transform-module-output", package = "teal")
or the teal::teal_transform_module()
documentation.
For more examples, please see the vignette "Using association plot" via
vignette("using-association-plot", package = "teal.modules.general")
.
# general data example
data <- teal_data()
data <- within(data, {
require(nestcolor)
CO2 <- CO2
factors <- names(Filter(isTRUE, vapply(CO2, is.factor, logical(1L))))
CO2[factors] <- lapply(CO2[factors], as.character)
})
app <- init(
data = data,
modules = modules(
tm_g_association(
ref = data_extract_spec(
dataname = "CO2",
select = select_spec(
label = "Select variable:",
choices = variable_choices(data[["CO2"]], c("Plant", "Type", "Treatment")),
selected = "Plant",
fixed = FALSE
)
),
vars = data_extract_spec(
dataname = "CO2",
select = select_spec(
label = "Select variables:",
choices = variable_choices(data[["CO2"]], c("Plant", "Type", "Treatment")),
selected = "Treatment",
multiple = TRUE,
fixed = FALSE
)
)
)
)
)
if (interactive()) {
shinyApp(app$ui, app$server)
}
# CDISC data example
data <- teal_data()
data <- within(data, {
require(nestcolor)
ADSL <- teal.data::rADSL
})
join_keys(data) <- default_cdisc_join_keys[names(data)]
app <- init(
data = data,
modules = modules(
tm_g_association(
ref = data_extract_spec(
dataname = "ADSL",
select = select_spec(
label = "Select variable:",
choices = variable_choices(
data[["ADSL"]],
c("SEX", "RACE", "COUNTRY", "ARM", "STRATA1", "STRATA2", "ITTFL", "BMRKR2")
),
selected = "RACE",
fixed = FALSE
)
),
vars = data_extract_spec(
dataname = "ADSL",
select = select_spec(
label = "Select variables:",
choices = variable_choices(
data[["ADSL"]],
c("SEX", "RACE", "COUNTRY", "ARM", "STRATA1", "STRATA2", "ITTFL", "BMRKR2")
),
selected = "BMRKR2",
multiple = TRUE,
fixed = FALSE
)
)
)
)
)
if (interactive()) {
shinyApp(app$ui, app$server)
}
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