context("Calculating dashboard metrics")
library(salic)
library(dplyr)
data(history)
test_that("est_part() returns simple count", {
# overall
x <- est_part(history, suppress_warning = TRUE, outvar = "var")
y <- dplyr::count(history, year)
expect_equal(x$var, y$n)
# by variable
x <- est_part(history, "R3", suppress_warning = TRUE, outvar = "var")
y <- dplyr::filter(history, !is.na(R3))
y <- dplyr::count(y, R3, year)
expect_equal(x$var, y$n)
})
test_that("scaleup_part() output sum matches segment_total", {
y <- est_part(history, suppress_warning = TRUE, outvar = "var")
x <- est_part(history, "sex", suppress_warning = TRUE, outvar = "var") %>%
scaleup_part(y, outvar = "var") %>%
group_by(year) %>%
summarise(var = sum(var))
expect_equal(x$var, y$var)
})
test_that("est_churn returns simple mean", {
# overall
x <- est_churn(history, suppress_warning = TRUE, outvar = "var")
y <- group_by(history, year) %>%
summarise(var = mean(lapse)) %>%
mutate(year = year + 1) %>%
filter(year != max(year))
expect_equal(x$var, y$var)
})
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