# test calculate diversities --------------------------------------------------- data(P_sojae_survey) diversities <- calculate_diversities( x = P_sojae_survey, cutoff = 60, control = "susceptible", sample = "Isolate", gene = "Rps", perc_susc = "perc.susc" ) test_that("calculate_diversities() works properly", { skip_on_cran() expect_s3_class(diversities, "hagis.diversities") expect_length(diversities, 9) expect_named( diversities, c( "individual_pathotypes", "table_of_pathotypes", "number_of_samples", "number_of_pathotypes", "Simple", "Gleason", "Shannon", "Simpson", "Evenness" ) ) }) test_that("calculate_diversities() stops if lacking all params", { skip_on_cran() expect_error( calculate_diversities( x = "y", cutoff = 60, control = "susceptible", sample = "Isolate", gene = "Rps", perc_susc = "perc.susc" ), regexp = "You have failed to provide all necessary inputs" ) expect_error( calculate_diversities( x = P_sojae_survey, cutoff = "sixty", control = "susceptible", sample = "Isolate", gene = "Rps", perc_susc = "perc.susc" ), regexp = "You have failed to provide all necessary inputs" ) expect_error( calculate_diversities( x = P_sojae_survey, cutoff = 60, control = NULL, sample = "Isolate", gene = "Rps", perc_susc = "perc.susc" ), regexp = "You have failed to provide all necessary inputs" ) expect_error( calculate_diversities( x = P_sojae_survey, cutoff = 60, control = "susceptible", sample = NULL, gene = "Rps", perc_susc = "perc.susc" ), regexp = "You have failed to provide all necessary inputs" ) expect_error( calculate_diversities( x = P_sojae_survey, cutoff = 60, control = "susceptible", sample = "isolate", gene = NULL, perc_susc = "perc.susc" ), regexp = "You have failed to provide all necessary inputs" ) expect_error( calculate_diversities( x = P_sojae_survey, cutoff = 60, control = "susceptible", sample = "isolate", gene = "Rps", perc_susc = 60 ), regexp = "You have failed to provide all necessary inputs" ) }) test_that("calculate_diversities() stops if data are not valid", { skip_on_cran() # add non-numeric data to `perc.susc` x <- P_sojae_survey[1, ] x[, 11] <- "X" P_sojae_survey <- rbind(P_sojae_survey, x) expect_error( calculate_diversities( x = P_sojae_survey, cutoff = 60, control = "susceptible", sample = "Isolate", gene = "Rps", perc_susc = "perc.susc" ), regexp = "Data in the column `perc_susc` must be numeric." ) rm(P_sojae_survey) data(P_sojae_survey) # add value < 0 to data x <- P_sojae_survey[1, ] x[, 11] <- -1 P_sojae_survey <- rbind(P_sojae_survey, x) expect_error( calculate_diversities( x = P_sojae_survey, cutoff = 60, control = "susceptible", sample = "Isolate", gene = "Rps", perc_susc = "perc.susc" ), regexp = "Data in the column `perc_susc` must be non-negative." ) }) test_that("print.hagis.diversities() returns a proper summary", { skip_on_cran() x <- utils::capture.output(print(diversities)) expect_type(x, "character") expect_equal(x[[2]], "hagis Diversities") expect_equal(x[[4]], "Number of Samples 21") expect_equal(x[[5]], "Number of Pathotypes 19 ") expect_equal(x[[8]], "Simple 0.9047619 ") expect_equal(x[[9]], "Gleason 5.912257 ") expect_equal(x[[10]], "Shannon 2.912494 ") expect_equal(x[[11]], "Simpson 0.9433107 ") expect_equal(x[[12]], "Evenness 0.9891509 ") expect_equal(x[[13]], "") }) test_that("pander.hagis.diversities returns a proper table of indices and caption", { skip_on_cran() x <- utils::capture.output(pander::pander(diversities)) expect_equal( head(x), c( "", "-------------------------------------------------", " Simple Gleason Shannon Simpson Evenness ", "-------- --------- --------- --------- ----------", " 0.9048 5.912 2.912 0.9433 0.9892 ", "-------------------------------------------------" ) ) })