library(DeclareDesign)
test_that("plot work", {
design <-
declare_population(N = 100,
x_prob = runif(N),
X = rbinom(N, 1, prob = x_prob),
# R = h(A, g(X, f(Q))),
Q = X) +
declare_potential_outcomes(Y ~ 2 * X + Q + Z + Z2, assignment_variables = c(Z, Z2)) +
declare_sampling(n = 10) +
declare_assignment(m = 5) +
declare_assignment(assignment_variable = "Z2") +
declare_measurement(Yobs = Y + X)
gg <- plot(design)
expect_true(inherits(gg, "gg"))
})
# get_formula_from_step <- function(step) {
# call <- attr(step, "call")
# type <- attr(step, "step_type")
# if (is_call(call) && is.character(type) && type != "wrapped") {
# formulae <- Filter(is_formula, call_args(call))
# if (length(formulae) == 1) {
# return(formulae[[1]])
# }
# }
# return(NULL)
# }
#
# get_expr_from_step <- function(step) {
# call <- attr(step, "call")
# type <- attr(step, "step_type")
# if (is_call(call) && is.character(type) && type != "wrapped") {
# exprs <- call_args(call)
# lhs <- as.list(names(exprs))
# vars <- map2(lhs, exprs, function(x, y) list(x, all.vars(y)))
# }
# return(vars)
# }
# h <- function(x) x^2
# g <- function(x) x*2
# f <- function(x) sqrt(x)
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