Arms: Class of Arm

In TrialSimulator: Clinical Trial Simulator

Class of Arm

Description

Create a class of arm.

Public methods in this R6 class are used in developing this package. Thus, we have to export the whole R6 class which exposures all public methods. However, only the public methods in the list below are useful to end users.

• $add_endpoints()

• $print()

Methods

Public methods

• Arms$new()

• Arms$add_endpoints()

• Arms$get_name()

• Arms$get_number_endpoints()

• Arms$has_endpoint()

• Arms$get_endpoints()

• Arms$get_endpoints_name()

• Arms$generate_data()

• Arms$print()

• Arms$clone()

---

Method new()

initialize an arm

Usage

Arms$new(name, ...)

Arguments

name

name of arm, which is the arm's label in generated data

...

subset condition that is compatible with dplyr::filter. This can be used to specify inclusion criteria of an arm. By default it is not specified, i.e. all data generated by the generator will be used as trial data. More than one conditions can be specified in ....

---

Method add_endpoints()

add one or multiple endpoints to the arm.

Usage

Arms$add_endpoints(...)

Arguments

...

one or more objects returned from endpoint().

Examples

a <- arm(name = 'trt')
x <- endpoint(name = 'x', type = 'tte',
              generator = rexp) # median = log(2)/1 = 0.7
y <- endpoint(name = 'y', type = 'non-tte', readout = c(y = 0),
              generator = rnorm, sd = 1.4, mean = 0.7)

a$add_endpoints(y, x)

## run it in console to see the summary report
a

print(a) # use the print method

---

Method get_name()

return name of arm.

Usage

Arms$get_name()

---

Method get_number_endpoints()

return number of endpoints in the arm.

Usage

Arms$get_number_endpoints()

---

Method has_endpoint()

check if the arm has any endpoint. Return TRUE or FALSE.

Usage

Arms$has_endpoint()

---

Method get_endpoints()

return a list of endpoints in the arm.

Usage

Arms$get_endpoints()

---

Method get_endpoints_name()

return name of endpoints registered to the arm.

Usage

Arms$get_endpoints_name()

---

Method generate_data()

generate arm data.

Usage

Arms$generate_data(n_patients_in_arm)

Arguments

n_patients_in_arm

integer. Number of patients randomized to the arm.

---

Method print()

print an arm.

Usage

Arms$print(categorical_vars = NULL)

Arguments

categorical_vars

character vector of categorical variables. This can be used to specify variables with limited distinct (numeric) values as categorical variables in summary report.

---

Method clone()

The objects of this class are cloneable with this method.

Usage

Arms$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

# Instead of using Arms$new(), please use arm(), a user-friendly
# wrapper. See examples in ?arm


## ------------------------------------------------
## Method `Arms$add_endpoints`
## ------------------------------------------------


a <- arm(name = 'trt')
x <- endpoint(name = 'x', type = 'tte',
              generator = rexp) # median = log(2)/1 = 0.7
y <- endpoint(name = 'y', type = 'non-tte', readout = c(y = 0),
              generator = rnorm, sd = 1.4, mean = 0.7)

a$add_endpoints(y, x)

## run it in console to see the summary report
a

print(a) # use the print method

TrialSimulator documentation built on Nov. 5, 2025, 7:22 p.m.