teal.transform (version 0.5.0)

data_extract_spec: Data extract input for teal modules

Description

The Data extract input can be used to filter and select columns from a data set. This function enables such an input in teal. Please use the constructor function data_extract_spec to set it up.

Usage

data_extract_spec(dataname, select = NULL, filter = NULL, reshape = FALSE)

Value

data_extract_spec object.

Arguments

dataname

(character) The name of the dataset to be extracted.

select

(NULL or select_spec-S3 class or delayed_select_spec) Columns to be selected from the input dataset mentioned in dataname. The setup can be created using select_spec function.

filter

(NULL or filter_spec or its respective delayed version) Setup of the filtering of key columns inside the dataset. This setup can be created using the filter_spec function. Please note that if both select and filter are set to NULL, then the result will be a filter spec UI with all variables as possible choices and a select spec with multiple set to TRUE.

reshape

(logical) whether reshape long to wide. Note that it will be used only in case of long dataset with multiple keys selected in filter part.

Module Development

teal.transform uses this object to construct a UI element in a module.

References

select_spec filter_spec

Examples

adtte_filters <- filter_spec(
  vars = c("PARAMCD", "CNSR"),
  sep = "-",
  choices = c("OS-1" = "OS-1", "OS-0" = "OS-0", "PFS-1" = "PFS-1"),
  selected = "OS-1",
  multiple = FALSE,
  label = "Choose endpoint and Censor"
)

data_extract_spec(
  dataname = "ADTTE",
  filter = adtte_filters,
  select = select_spec(
    choices = c("AVAL", "BMRKR1", "AGE"),
    selected = c("AVAL", "BMRKR1"),
    multiple = TRUE,
    fixed = FALSE,
    label = "Column"
  )
)

data_extract_spec(
  dataname = "ADSL",
  filter = NULL,
  select = select_spec(
    choices = c("AGE", "SEX", "USUBJID"),
    selected = c("SEX"),
    multiple = FALSE,
    fixed = FALSE
  )
)
data_extract_spec(
  dataname = "ADSL",
  filter = filter_spec(
    vars = variable_choices("ADSL", subset = c("AGE"))
  )
)

dynamic_filter <- filter_spec(
  vars = choices_selected(variable_choices("ADSL"), "COUNTRY"),
  multiple = TRUE
)
data_extract_spec(
  dataname = "ADSL",
  filter = dynamic_filter
)