A Workflow for Statistical Testing, Interpretation, and 'ggplot2'-Based Visualization


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Documentation for package ‘testflow’ version 0.9.0

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as_tibble Convert a testflow object to a one-row tibble
as_tibble.sample_size Sample size planning for common trial designs
make_cardio_data Simulate a small cardiovascular teaching dataset
plot.sample_size Sample size planning for common trial designs
plot.testflow Plot a testflow object
print.sample_size Sample size planning for common trial designs
print.testflow Print a testflow object
report Return a ready-to-use testflow report
report.sample_size Sample size planning for common trial designs
report_test Return a ready-to-use testflow report
sample_size Sample size planning for common trial designs
sample_size_adjust_dropout Sample size planning for common trial designs
sample_size_binary Sample size planning for common trial designs
sample_size_bioequivalence Sample size for average bioequivalence
sample_size_cluster_adjust Adjust an individually randomized sample size for cluster randomization
sample_size_continuous Sample size planning for common trial designs
sample_size_ordinal Sample size planning for common trial designs
sample_size_precision Sample size for confidence-interval precision
sample_size_survival Sample size planning for common trial designs
summary.sample_size Sample size planning for common trial designs
summary.testflow Summarize a testflow object
sumtab Build a compact descriptive summary table
test_agreement Inter-rater agreement workflow (Cohen's kappa)
test_categorical Test association between two categorical variables
test_correlation Test correlation between two numeric variables
test_correlation_matrix Test a correlation matrix
test_cox Cox proportional hazards regression workflow
test_diagnostic Diagnostic test accuracy workflow
test_factorial Run a factorial ANOVA workflow
test_groups Compare a numeric outcome across more than two groups
test_icc Intraclass correlation coefficient workflow
test_linear_regression Multiple linear regression workflow
test_logistic_regression Logistic regression workflow
test_multinomial Test multinomial goodness of fit
test_one_sample Test one numeric sample against a reference value
test_outliers Detect numeric outliers
test_paired Compare paired before and after numeric measurements
test_paired_categorical Test paired categorical measurements
test_proportion Test a one-sample proportion
test_repeated Run a repeated-measures workflow from wide data
test_repeated_categorical Test repeated categorical measurements
test_repeated_long Run a repeated-measures workflow from long data
test_roc Receiver operating characteristic (ROC) curve workflow
test_survival Kaplan-Meier and log-rank survival workflow
test_two_groups Compare a numeric outcome between two independent groups