sample_pow: Creates a plot or a table for the sample size, type I error...

In vanLunteren/plan_norm: R-tool for planning clinical studies on normally distributed data

Description

That is one of the main functions. It creates a plot or a table for the sample size, type I error rate and power versus standard deviation. The sample size, type I error rate and power can be calculated for the design with a fixed sample size and / or with an internal pilot study. If desired, it may represent several timings for the internal pilot studies for comparison.

Usage

sample_pow(sd_ber = T, delta = 0, Delta, sd, test = 1, alpha = 0.05, beta = 0.2,
           prop = c(0.5, 0.7), adj = F,  rule = F, nbound = 500,
           fix_sim = c("fix", "sim"), simu = 10000, create = "plot")

Arguments

sd_ber	Sequence of numbers. Interval of the actual standard deviation in the data. With regard to this interval, the sample size and the power are displayed. If no interval with more than two numbers but an upper limit is defined (see nbound), a reasonable range is calculated automatically.
delta	Number. Expectation difference of two samples. If you select a Test for superiority/ difference then select 'delta = 0'. Only if you select a Test for non-inferiority you can select 'delta != 0'. Attention: If you chose 'test = 1' and 'delta != 0', the test for non-inferiority will automatically be applied. If not specified, delta is set to 0.
Delta	Number. Relevant difference of expected values in the alternative hypothesis.
sd	Number. Assumed standard deviation of the data. Used to calculate the originally planned sample size.
test	Number. What type of hypothesis test should be performed, one-sided (Superiority/ Non-Inferiority test) or two-sided (Test for difference). One-sided (test = 1): Superiortity H0: mu_x - mu_y <= 0 vs. H1: mu_x - mu_y > 0 Non-Inferiority H0: mu_x - mu_y >= delta vs. H1: mu_x - mu_y < delta Two-sided (test = 2): Difference H0: |mu_x - mu_y| = 0 vs. H1: |mu_x - mu_y| != 0 Attention: Choice of delta. (see delta) If not specified, the one-Sided Test (Superiority/ Non-Inferiority Test) is used.
alpha	Number. Desired alpha-level of the test. If not specified, alpha is set to 0.05.
beta	Number. Acceptable beta error of the test. If not specified, beta is set to 0.2.
prop	Number/ vector of numbers. Timing of the internal pilot study depending on the originally planned sample size. If a vector is passed, all timings are displayed. A maximum of five different values are possible if you choose create = "tab".
adj	Logical. Should the one-sample variance, calculated in the internal pilot study, be adjusted?
rule	Logical. Should the sample size adjustment rule be applied by Wittes and Brittain?
nbound	Number. Upper limit of the sample size. Attention: Only if you choose nbound can a suitable standard deviation range for the plots be calculated automatically. If no nbound are defined then a standard deviation range must be chosen (see sd_ber).
fix_sim	Which design should be applied and presented? "fixed": Design with fixed sample size, "sim": Design with internal pilot study, c("fix", "sim"): both design
simu	Number. How many simulations should be performed? If not specified, simu is set to 10000.
create	"plot" if a plot is to be returned. "tab" if a table is to be returned.

Value

It returns a plot.

Author(s)

Csilla van Lunteren

See Also

fix_sample_pow
sim_sample_pow
ggplot2
gridExtra

vanLunteren/plan_norm documentation built on May 20, 2019, 12:32 p.m.