Box Plot
tm_g_gh_boxplot.Rd
This teal module renders the UI and calls the functions that create a box plot and accompanying summary table.
Usage
tm_g_gh_boxplot(
label,
dataname,
param_var,
param,
yaxis_var = teal.transform::choices_selected(c("AVAL", "CHG"), "AVAL"),
xaxis_var = teal.transform::choices_selected("AVISITCD", "AVISITCD"),
facet_var = teal.transform::choices_selected(c("ARM", "ACTARM"), "ARM"),
trt_group,
color_manual = NULL,
shape_manual = NULL,
facet_ncol = NULL,
loq_legend = TRUE,
rotate_xlab = FALSE,
hline_arb = numeric(0),
hline_arb_color = "red",
hline_arb_label = "Horizontal line",
hline_vars = character(0),
hline_vars_colors = "green",
hline_vars_labels = hline_vars,
plot_height = c(600, 200, 2000),
plot_width = NULL,
font_size = c(12, 8, 20),
dot_size = c(2, 1, 12),
alpha = c(0.8, 0, 1),
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 teal init. E.g. ADaM structured laboratory data frame ALB.
- param_var
name of variable containing biomarker codes e.g. PARAMCD.
- param
list of biomarkers of interest.
- yaxis_var
name of variable containing biomarker results displayed on y-axis e.g. AVAL. When not provided, it defaults to
choices_selected(c("AVAL", "CHG"), "AVAL")
.- xaxis_var
variable to categorize the x-axis. When not provided, it defaults to
choices_selected("AVISITCD", "AVISITCD")
.- facet_var
variable to facet the plots by. When not provided, it defaults to
choices_selected(c("ARM", "ACTARM"), "ARM")
.- 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.
- shape_manual
vector of symbols applied to LOQ values.
- facet_ncol
numeric value indicating number of facets per row.
- loq_legend
loq legend toggle.
- rotate_xlab
45 degree rotation of x-axis values.
- 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.- hline_vars
a character vector to name the columns that will define additional horizontal lines.
- hline_vars_colors
a character vector naming the colors for the additional horizontal lines.
- hline_vars_labels
a character vector naming the labels for the additional horizontal lines that will appear in the legend.
- 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.
- dot_size
plot dot size.
- alpha
numeric vector to define transparency of plotted points.
- 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.
Value
an module
object
Author
Jeff Tomlinson (tomlinsj) jeffrey.tomlinson@roche.com
Balazs Toth (tothb2) toth.balazs@gene.com
Examples
# Example using ADaM structure analysis dataset.
library(dplyr)
library(scda)
# original ARM value = dose value
arm_mapping <- list(
"A: Drug X" = "150mg QD",
"B: Placebo" = "Placebo",
"C: Combination" = "Combination"
)
set.seed(1)
ADSL <- synthetic_cdisc_data("latest")$adsl
ADLB <- synthetic_cdisc_data("latest")$adlb
var_labels <- lapply(ADLB, function(x) attributes(x)$label)
ADLB <- ADLB %>%
dplyr::mutate(
AVISITCD = dplyr::case_when(
AVISIT == "SCREENING" ~ "SCR",
AVISIT == "BASELINE" ~ "BL",
grepl("WEEK", AVISIT) ~ paste("W", stringr::str_extract(AVISIT, "(?<=(WEEK ))[0-9]+")),
TRUE ~ as.character(NA)
),
AVISITCDN = dplyr::case_when(
AVISITCD == "SCR" ~ -2,
AVISITCD == "BL" ~ 0,
grepl("W", AVISITCD) ~ as.numeric(gsub("[^0-9]*", "", AVISITCD)),
TRUE ~ as.numeric(NA)
),
AVISITCD = factor(AVISITCD) %>% reorder(AVISITCDN),
TRTORD = dplyr::case_when(
ARMCD == "ARM C" ~ 1,
ARMCD == "ARM B" ~ 2,
ARMCD == "ARM A" ~ 3
),
ARM = as.character(arm_mapping[match(ARM, names(arm_mapping))]),
ARM = factor(ARM) %>% reorder(TRTORD),
ACTARM = as.character(arm_mapping[match(ACTARM, names(arm_mapping))]),
ACTARM = factor(ACTARM) %>% reorder(TRTORD),
ANRLO = 50,
ANRHI = 75
) %>%
dplyr::rowwise() %>%
dplyr::group_by(PARAMCD) %>%
dplyr::mutate(LBSTRESC = ifelse(
USUBJID %in% sample(USUBJID, 1, replace = TRUE),
paste("<", round(runif(1, min = 25, max = 30))), LBSTRESC
)) %>%
dplyr::mutate(LBSTRESC = ifelse(
USUBJID %in% sample(USUBJID, 1, replace = TRUE),
paste(">", round(runif(1, min = 70, max = 75))), LBSTRESC
)) %>%
ungroup()
attr(ADLB[["ARM"]], "label") <- var_labels[["ARM"]]
attr(ADLB[["ACTARM"]], "label") <- var_labels[["ACTARM"]]
attr(ADLB[["ANRLO"]], "label") <- "Analysis Normal Range Lower Limit"
attr(ADLB[["ANRHI"]], "label") <- "Analysis Normal Range Upper Limit"
# add LLOQ and ULOQ variables
ALB_LOQS <- goshawk:::h_identify_loq_values(ADLB)
ADLB <- left_join(ADLB, ALB_LOQS, by = "PARAM")
app <- teal::init(
data = cdisc_data(
adsl <- cdisc_dataset("ADSL", ADSL, code = "ADSL <- synthetic_cdisc_data(\"latest\")$adsl"),
cdisc_dataset(
"ADLB",
ADLB,
code = [2091 chars quoted with '"'],
vars = list(ADSL = adsl, arm_mapping = arm_mapping)
),
check = TRUE
),
modules = modules(
tm_g_gh_boxplot(
label = "Box Plot",
dataname = "ADLB",
param_var = "PARAMCD",
param = choices_selected(c("ALT", "CRP", "IGA"), "ALT"),
yaxis_var = choices_selected(c("AVAL", "BASE", "CHG"), "AVAL"),
xaxis_var = choices_selected(c("ACTARM", "ARM", "AVISITCD", "STUDYID"), "ARM"),
facet_var = choices_selected(c("ACTARM", "ARM", "AVISITCD", "SEX"), "AVISITCD"),
trt_group = choices_selected(c("ARM", "ACTARM"), "ARM"),
loq_legend = TRUE,
rotate_xlab = FALSE,
hline_arb = c(60, 55),
hline_arb_color = c("grey", "red"),
hline_arb_label = c("default_hori_A", "default_hori_B"),
hline_vars = c("ANRHI", "ANRLO", "ULOQN", "LLOQN"),
hline_vars_colors = c("pink", "brown", "purple", "black"),
)
)
)
#> [INFO] 2022-06-14 17:42:29.9968 pid:1172 token:[] teal.goshawk Initializing tm_g_gh_boxplot
if (FALSE) {
shinyApp(app$ui, app$server)
}