Density Distribution Plot
Source:R/tm_g_gh_density_distribution_plot.R
tm_g_gh_density_distribution_plot.Rd
This teal module renders the UI and calls the functions that create a density distribution plot and an accompanying summary table.
Usage
tm_g_gh_density_distribution_plot(
label,
dataname,
param_var,
param,
xaxis_var,
trt_group,
color_manual = NULL,
color_comb = NULL,
plot_height = c(500, 200, 2000),
plot_width = NULL,
font_size = c(12, 8, 20),
line_size = c(1, 0.25, 3),
hline_arb = numeric(0),
hline_arb_color = "red",
hline_arb_label = "Horizontal line",
facet_ncol = 2L,
comb_line = TRUE,
rotate_xlab = FALSE,
pre_output = NULL,
post_output = NULL
)
Arguments
- label
menu item label of the module in the teal app.
- dataname
analysis data passed to the data argument of
init
. E.g.ADaM
structured laboratory data frameADLB
.- param_var
name of variable containing biomarker codes e.g.
PARAMCD
.- param
biomarker selected.
- xaxis_var
name of variable containing biomarker results displayed on
x-axis
e.g.BASE
.- trt_group
choices_selected
object with available choices and pre-selected option for variable names representing treatment group e.g.ARM
.- color_manual
vector of colors applied to treatment values.
- color_comb
name or hex value for combined treatment color.
- plot_height
controls plot height.
- plot_width
optional, controls plot width.
- font_size
font size control for title,
x-axis
label,y-axis
label and legend.- line_size
plot line thickness.
- hline_arb
numeric vector of at most 2 values identifying intercepts for arbitrary horizontal lines.
- hline_arb_color
a character vector of at most length of
hline_arb
. naming the color for the arbitrary horizontal lines.- hline_arb_label
a character vector of at most length of
hline_arb
. naming the label for the arbitrary horizontal lines.- facet_ncol
numeric value indicating number of facets per row.
- comb_line
display combined treatment line toggle.
- rotate_xlab
45 degree rotation of
x-axis
values.- 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.
Examples
# Example using ADaM structure analysis dataset.
data <- teal_data()
data <- within(data, {
library(dplyr)
library(stringr)
# original ARM value = dose value
.arm_mapping <- list(
"A: Drug X" = "150mg QD",
"B: Placebo" = "Placebo",
"C: Combination" = "Combination"
)
ADSL <- rADSL
ADLB <- rADLB
.var_labels <- lapply(ADLB, function(x) attributes(x)$label)
ADLB <- ADLB %>%
mutate(
AVISITCD = case_when(
AVISIT == "SCREENING" ~ "SCR",
AVISIT == "BASELINE" ~ "BL",
grepl("WEEK", AVISIT) ~ paste("W", str_extract(AVISIT, "(?<=(WEEK ))[0-9]+")),
TRUE ~ as.character(NA)
),
AVISITCDN = case_when(
AVISITCD == "SCR" ~ -2,
AVISITCD == "BL" ~ 0,
grepl("W", AVISITCD) ~ as.numeric(gsub("[^0-9]*", "", AVISITCD)),
TRUE ~ as.numeric(NA)
),
AVISITCD = factor(AVISITCD) %>% reorder(AVISITCDN),
TRTORD = case_when(
ARMCD == "ARM C" ~ 1,
ARMCD == "ARM B" ~ 2,
ARMCD == "ARM A" ~ 3
),
ARM = as.character(.arm_mapping[match(ARM, names(.arm_mapping))]),
ARM = factor(ARM) %>% reorder(TRTORD),
ACTARM = as.character(.arm_mapping[match(ACTARM, names(.arm_mapping))]),
ACTARM = factor(ACTARM) %>% reorder(TRTORD)
)
attr(ADLB[["ARM"]], "label") <- .var_labels[["ARM"]]
attr(ADLB[["ACTARM"]], "label") <- .var_labels[["ACTARM"]]
})
join_keys(data) <- default_cdisc_join_keys[names(data)]
app <- init(
data = data,
modules = modules(
tm_g_gh_density_distribution_plot(
label = "Density Distribution Plot",
dataname = "ADLB",
param_var = "PARAMCD",
param = choices_selected(c("ALT", "CRP", "IGA"), "ALT"),
xaxis_var = choices_selected(c("AVAL", "BASE", "CHG", "PCHG"), "AVAL"),
trt_group = choices_selected(c("ARM", "ACTARM"), "ARM"),
color_manual = c(
"150mg QD" = "#000000",
"Placebo" = "#3498DB",
"Combination" = "#E74C3C"
),
color_comb = "#39ff14",
comb_line = TRUE,
plot_height = c(500, 200, 2000),
font_size = c(12, 8, 20),
line_size = c(1, .25, 3),
hline_arb = c(.02, .05),
hline_arb_color = c("red", "black"),
hline_arb_label = c("Horizontal Line A", "Horizontal Line B")
)
)
)
#> Initializing tm_g_gh_density_distribution_plot
#> Initializing reporter_previewer_module
if (interactive()) {
shinyApp(app$ui, app$server)
}