This module produces a patient profile vitals ggplot2::ggplot()
type plot using ADaM datasets.
Usage
tm_g_pp_vitals(
label,
dataname = "ADVS",
parentname = "ADSL",
patient_col = "USUBJID",
paramcd = NULL,
aval = lifecycle::deprecated(),
aval_var = NULL,
xaxis = NULL,
font_size = c(12L, 12L, 25L),
plot_height = c(700L, 200L, 2000L),
plot_width = NULL,
pre_output = NULL,
post_output = NULL,
ggplot2_args = teal.widgets::ggplot2_args(),
transformators = list(),
decorators = list()
)
Arguments
- label
(
character
)
menu item label of the module in the teal app.- dataname
(
character
)
analysis data used in teal module.- parentname
(
character
)
parent analysis data used in teal module, usually this refers toADSL
.- patient_col
(
character
)
name of patient ID variable.- paramcd
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for the parameter code variable fromdataname
.- aval
- aval_var
(
teal.transform::choices_selected()
)
object with all available choices and pre-selected option for the analysis variable.- xaxis
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for the time variable fromdataname
to be put on the plot x-axis.- font_size
(
numeric
)
numeric vector of length 3 of current, minimum and maximum font size values.- plot_height
(
numeric
) optional
vector of length three withc(value, min, max)
. Specifies the height of the main plot and renders a slider on the plot to interactively adjust the plot height.- plot_width
(
numeric
) optional
vector of length three withc(value, min, max)
. Specifies the width of the main plot and renders a slider on the plot to interactively adjust the plot width.- pre_output
(
shiny.tag
) optional,
with text placed before the output to put the output into context. For example a title.- post_output
(
shiny.tag
) optional,
with text placed after the output to put the output into context. For example theshiny::helpText()
elements are useful.- ggplot2_args
(
ggplot2_args
) optional
object created byteal.widgets::ggplot2_args()
with settings for the module plot. The argument is merged with optionteal.ggplot2_args
and with default module arguments (hard coded in the module body). For more details, see the vignette:vignette("custom-ggplot2-arguments", package = "teal.widgets")
.- transformators
(
list
ofteal_transform_module
) that will be applied to transform module's data input. To learn more checkvignette("transform-input-data", package = "teal")
.- decorators
-
(named
list
of lists ofteal_transform_module
) optional, decorator for tables or plots included in the module output reported. The decorators are applied to the respective output objects.See section "Decorating Module" below for more details.
Details
This plot supports horizontal lines for the following 6 PARAMCD
levels when they are present in dataname
:
"SYSBP"
, "DIABP"
, "TEMP"
, "RESP"
, "OXYSAT"
.
Decorating Module
This module generates the following objects, which can be modified in place using decorators:
plot
(ggplot
)
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_pp_vitals(
..., # arguments for module
decorators = list(
plot = teal_transform_module(...) # applied only to `plot` output
)
)
For additional details and examples of decorators, refer to the vignette
vignette("decorate-module-output", package = "teal.modules.clinical")
.
To learn more please refer to the vignette
vignette("transform-module-output", package = "teal")
or the teal::teal_transform_module()
documentation.
Examples
library(nestcolor)
data <- teal_data()
data <- within(data, {
ADSL <- tmc_ex_adsl
ADVS <- tmc_ex_advs
})
join_keys(data) <- default_cdisc_join_keys[names(data)]
ADSL <- data[["ADSL"]]
ADVS <- data[["ADVS"]]
app <- init(
data = data,
modules = modules(
tm_g_pp_vitals(
label = "Vitals",
dataname = "ADVS",
parentname = "ADSL",
patient_col = "USUBJID",
plot_height = c(600L, 200L, 2000L),
paramcd = choices_selected(
choices = variable_choices(ADVS, "PARAMCD"),
selected = "PARAMCD"
),
xaxis = choices_selected(
choices = variable_choices(ADVS, "ADY"),
selected = "ADY"
),
aval_var = choices_selected(
choices = variable_choices(ADVS, "AVAL"),
selected = "AVAL"
)
)
)
)
#> Initializing tm_g_pp_vitals
if (interactive()) {
shinyApp(app$ui, app$server)
}