View source: R/sample_bootstrap.R
| identify_ech | R Documentation | 
Identify the sample size needed to detect a difference between two samples
identify_ech(
  mean1,
  mean2,
  sd1,
  sd2,
  iter = 500,
  conf.level = 0.99,
  conf = 0.95,
  nmin = 2,
  nmax = 1000
)
| mean1 | Sample Average 1 | 
| mean2 | Sample Average 2 | 
| sd1 | Sample standard deviation 1 | 
| sd2 | Sample standard deviation 2 | 
| iter | Number of iterations per bootstrap | 
| conf.level | Expected confidence on Student's test when comparing 2 samples (0 to 1) | 
| conf | Percentage of times I expect to have a p-value that responds to my test if there is an effect when comparing 2 samples | 
| nmin | Minimum number of individuals accepted for the sample. | 
| nmax | Maximum number of individuals attainable for the sample. | 
The required sample size to detect a difference in means by a Student test with the desired significance (conf.level) and in a minimum number of cases (conf). If the required sample size exceeds nmax, a warning message is printed.
identify_ech(mean1=100, mean2=101, sd1=2, sd2=3, nmax=10000)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.