RCT_predict: RCT Predict

In mladenjovanovic/bmbstats: Bootstrap Magnitude-Based Statistics

Description

RCT_predict perform additional analysis on model returned by cv_model function assuming RCT data

Usage

RCT_predict(
  model,
  new_data,
  outcome,
  group,
  control_label,
  treatment_label,
  subject_label = rownames(new_data),
  na.rm = FALSE
)

Arguments

model	Object returned by cv_model function
new_data	Data frame
outcome	Character string indicating the outcome column in new_data
group	Character vector indicating the name of the column in data where group information is stored
control_label	Character vector indicating the label inside the group column for the control group
treatment_label	Character vector indicating the label inside the group column for the treatment group
subject_label	Row labels, usually participants names. Default is new_data row names
na.rm	Should NAs be removed? Default is FALSE

Value

Object of class bmbstats_RCT_predict

Examples

data("vertical_jump_data")

m1 <- cv_model(
  `Post-test` ~ `Pre-test` + Group,
  vertical_jump_data,
  control = model_control(
    cv_repeats = 10,
    cv_folds = 3,
    cv_strata = vertical_jump_data$Group
  )
)

m1_rct <- RCT_predict(
  m1,
  new_data = vertical_jump_data,
  outcome = "Post-test",
  group = "Group",
  treatment_label = "Treatment",
  control_label = "Control"
)

m1_rct
plot(m1_rct)

mladenjovanovic/bmbstats documentation built on Aug. 5, 2020, 4:20 p.m.