README.md

In goseberg/samplesizr: Sample-size calculation made simple

samplesizr

Sample size calculation with R based on the book

[1] M.Kieser: Fallzahlberechnung in der medizinischen Forschung [2018], 1th Edition.

There are the following functions for sample size calculation:

• n_ancova,
• n_chisq,
• n_chisq_mult_groups,
• n_ftest,
• n_ttest,
• n_ztest,

and for power calculation

• power_binomial,
• power_chisq_mult_groups,
• power_ftest,
• power_ttest,
• power_ztest.

Sample size calculation

n_ancova

Sample Size Calculation for the Analysis of Covariances (ANCOVA) for test on mean difference for two samples correlated to a covariate. See pages 18 - 20 in [1] for further details.

n_chisq

Sample size Calculation for the Chi-Square Test for two independent samples with binary data using the absolute rate difference quantifying the effect of an intervention. See pages 21 - 26 in [1] for further details.

n_chisq_mult_groups

Sample size calculation for the Chi-Square test comparing rates of \eqn{k > 2} independent samples. See page 30 in [1] for further details.

n_ftest

Sample size calculation for the f-Test comparing means of \eqn{k > 2} independent samples. See page 29 in [1] for further details.

n_ttest

Sample size calculation for the t-Test comparing two independent samples. See pages 16 - 18 in [1] for further details.

n_ztest

Sample size calculation for the z-Test comparing two independent samples. See pages 13 - 16 in [1] for further details.

Power calculation

power_binomial

Power Calculation for the Chi-Square Test for two independent samples with binary data using the absolute rate difference quantifying the effect of an intervention. See pages 21 - 26 in [1] for further details.

power_chisq_mult_groups

Power calculation for the Chi-Square test comparing rates of \eqn{k > 2} independent samples. See page 30 in [1] for further details.

power_ftest

Power calculation for the f-Test comparing means of \eqn{k > 2} independent samples. See page 29 in [1] for further details.

power_ttest

Power calculation for the t-Test comparing two independent samples. See pages 16 - 18 in [1] for further details.

power_ztest

Power calculation for the z-Test comparing two independent samples. See pages 13 - 16 in [1] for further details.

goseberg/samplesizr documentation built on May 28, 2019, 8:43 a.m.