This teal module produces grid style Individual patient plot(s) that show trends in parameter values over time for each patient using data with ADaM structure.
Usage
tm_g_ipp(
label,
dataname,
parentname = ifelse(inherits(arm_var, "data_extract_spec"),
teal.transform::datanames_input(arm_var), "ADSL"),
arm_var,
paramcd,
id_var = teal.transform::choices_selected(teal.transform::variable_choices(dataname,
"USUBJID"), "USUBJID", fixed = TRUE),
visit_var = teal.transform::choices_selected(teal.transform::variable_choices(dataname,
"AVISIT"), "AVISIT", fixed = TRUE),
aval_var = teal.transform::choices_selected(teal.transform::variable_choices(dataname,
"AVAL"), "AVAL", fixed = TRUE),
avalu_var = teal.transform::choices_selected(teal.transform::variable_choices(dataname,
"AVALU"), "AVALU", fixed = TRUE),
base_var = teal.transform::choices_selected(teal.transform::variable_choices(dataname,
"BASE"), "BASE", fixed = TRUE),
add_baseline_hline = FALSE,
separate_by_obs = FALSE,
suppress_legend = FALSE,
add_avalu = TRUE,
plot_height = c(1200L, 400L, 5000L),
plot_width = NULL,
pre_output = NULL,
post_output = NULL,
ggplot2_args = teal.widgets::ggplot2_args()
)
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
.- arm_var
(
teal.transform::choices_selected()
orteal.transform::data_extract_spec()
)
object with all available choices and preselected option for variable values that can be used asarm_var
.- paramcd
(
character
)
variable value designating the studied parameter.- id_var
(
character
)
the variable name for subject id.- visit_var
(
string
)
variable name designating the visit timepoint variable.- aval_var
(
character
)
name of the analysis variable.- avalu_var
(
teal.transform::choices_selected()
orteal.transform::data_extract_spec()
)
object with all available choices and preselected option for variable values that can be used asavalu_var
.- base_var
(
teal.transform::choices_selected()
orteal.transform::data_extract_spec()
)
object with all available choices and preselected option for variable values that can be used asbase_var
.- add_baseline_hline
(
flag
)
adds horizontal line at baseline y-value on plot- separate_by_obs
(
flag
)
creates multi panel plots when TRUE- suppress_legend
(
flag
)
allow user to suppress legend- add_avalu
(
flag
)
allow user to not display value unit in the plot.- plot_height
optional, (
numeric
)
a 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
optional, (
numeric
)
a 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
optional, (
shiny.tag
)
with text placed before the output to put the output into context. For example a title.- post_output
optional, (
shiny.tag
)
with text placed after the output to put the output into context. For example theshiny::helpText()
elements are useful.- ggplot2_args
-
optional, (
ggplot2_args
)
object created byteal.widgets::ggplot2_args()
with settings for the module plot. For this module, this argument will only acceptggplot2_args
object withlabs
list of following child elements:title
,subtitle
,x
,y
. No other elements would be taken into account. 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")
.
Examples
library(nestcolor)
adsl <- tmc_ex_adsl %>% dplyr::slice(1:20)
adlb <- tmc_ex_adlb %>% dplyr::filter(USUBJID %in% adsl$USUBJID)
adsl <- df_explicit_na(adsl)
adlb <- df_explicit_na(adlb) %>% dplyr::filter(AVISIT != "SCREENING")
app <- init(
data = cdisc_data(
cdisc_dataset("ADSL", adsl),
cdisc_dataset("ADLB", adlb)
),
modules = modules(
tm_g_ipp(
label = "Individual Patient Plot",
dataname = "ADLB",
arm_var = choices_selected(
value_choices(adlb, "ARMCD"),
"ARM A"
),
paramcd = choices_selected(
value_choices(adlb, "PARAMCD"),
"ALT"
),
aval_var = choices_selected(
variable_choices(adlb, c("AVAL", "CHG")),
"AVAL"
),
avalu_var = choices_selected(
variable_choices(adlb, c("AVALU")),
"AVALU",
fixed = TRUE
),
id_var = choices_selected(
variable_choices(adlb, c("USUBJID")),
"USUBJID",
fixed = TRUE
),
visit_var = choices_selected(
variable_choices(adlb, c("AVISIT")),
"AVISIT"
),
base_var = choices_selected(
variable_choices(adlb, c("BASE")),
"BASE",
fixed = TRUE
),
add_baseline_hline = FALSE,
separate_by_obs = FALSE
)
)
)
#> [INFO] 2023-05-31 23:41:30.5162 pid:3043 token:[] teal.modules.clinical Initializing tm_g_ipp
if (interactive()) {
shinyApp(ui = app$ui, server = app$server)
}