Nothing
# Don't perform any further tests on CRAN due to time of running the complete
# test.
testthat::skip_on_cran()
testthat::skip_on_ci()
debug_flag <- FALSE
# Generic test
# Note that one-sample kaplan-meier curves can be created.
familiar:::test_plots(
plot_function = familiar:::plot_kaplan_meier,
not_available_all_prospective = TRUE,
outcome_type_available = c("survival"),
data_element = "risk_stratification_data",
debug = debug_flag
)
# Test alignment of different plots, with missing data.
familiar:::test_plot_ordering(
plot_function = familiar:::plot_kaplan_meier,
data_element = "risk_stratification_data",
outcome_type_available = c("survival"),
debug = debug_flag
)
# Test alignment of different plots, with missing data.
familiar:::test_plot_ordering(
plot_function = familiar:::plot_kaplan_meier,
data_element = "risk_stratification_data",
outcome_type_available = c("survival"),
plot_args = list(
"facet_by" = c("learner", "fs_method", "data_set"),
"color_by" = "risk_group"),
debug = debug_flag
)
# Fixed stratification with 3 groups works correctly.
familiar:::test_plot_ordering(
plot_function = familiar:::plot_kaplan_meier,
data_element = "risk_stratification_data",
outcome_type_available = c("survival"),
experiment_args = list(
stratification_method = "fixed"),
plot_args = list(
"facet_by" = c("learner", "fs_method", "data_set"),
"color_by" = "risk_group"),
debug = debug_flag
)
# Fixed stratification with 5 groups works correctly.
familiar:::test_plot_ordering(
plot_function = familiar:::plot_kaplan_meier,
data_element = "risk_stratification_data",
outcome_type_available = c("survival"),
experiment_args = list(
stratification_method = "fixed",
stratification_threshold = c(0.20, 0.40, 0.60, 0.80)),
plot_args = list(
"facet_by" = c("learner", "fs_method", "data_set"),
"color_by" = "risk_group"),
debug = debug_flag
)
# Fixed stratification with 5 groups works correctly.
familiar:::test_plot_ordering(
plot_function = familiar:::plot_kaplan_meier,
data_element = "risk_stratification_data",
outcome_type_available = c("survival"),
experiment_args = list(
stratification_method = c("median", "fixed"),
stratification_threshold = c(0.20, 0.40, 0.60, 0.80)),
plot_args = list(
"facet_by" = c("learner", "fs_method", "data_set"),
"color_by" = "risk_group",
"split_by" = "stratification_method"),
debug = debug_flag
)
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