# agridatasets - A Comprehensive Collection of Agricultural and Agronomic Datasets
# Version 0.1.0
# Copyright (C) 2026 Renzo Caceres Rossi
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <https://www.gnu.org/licenses/>.

# strawberry_yield

library(testthat)

# Test 1: Check that the object is a data.frame and has 5 columns
test_that("strawberry_yield is a data.frame with 5 columns", {
  expect_s3_class(strawberry_yield, "data.frame")
  expect_equal(ncol(strawberry_yield), 5)
  expect_equal(length(strawberry_yield), 5)
})

# Test 2: Check the number of rows
test_that("strawberry_yield has 32 rows", {
  expect_equal(nrow(strawberry_yield), 32)
})

# Test 3: Validate column names
test_that("strawberry_yield has correct column names", {
  expect_named(
    strawberry_yield,
    c("row", "col", "block", "gen", "yield")
  )
})

# Test 4: Check data types
test_that("strawberry_yield has correct data types", {
  expect_type(strawberry_yield$row, "integer")
  expect_type(strawberry_yield$col, "integer")
  expect_s3_class(strawberry_yield$block, "factor")
  expect_equal(nlevels(strawberry_yield$block), 4)
  expect_s3_class(strawberry_yield$gen, "factor")
  expect_equal(nlevels(strawberry_yield$gen), 8)
  expect_type(strawberry_yield$yield, "double")
})