Goodman_Wald_CIs_for_diffs_1xc: The Goodman Wald simultaneous intervals for the differences...
In ocbe-uio/contingencytables: Statistical Analysis of Contingency Tables
View source: R/Goodman_Wald_CIs_for_diffs_1xc.R
Goodman_Wald_CIs_for_diffs_1xc R Documentation
The Goodman Wald simultaneous intervals for the differences between the
Description
The Goodman Wald simultaneous intervals for the differences between the
multinomial probabilities (with Scheffe or Bonferroni adjustment)
Described in Chapter 3 "The 1xc Table and the Multinomial Distribution"
Usage
Goodman_Wald_CIs_for_diffs_1xc(n, alpha = 0.05, adjustment = "Bonferroni")
Arguments
n
the observed counts (a 1xc vector, where c is the number of categories)
alpha
the nominal level, e.g. 0.05 for 95# CIs
adjustment
Scheffe or Bonferroni adjustment ("Scheffe" or "Bonferroni")
Value
An object of the contingencytables_result class,
basically a subclass of base::list(). Use the utils::str() function
to see the specific elements returned.
Examples
Goodman_Wald_CIs_for_diffs_1xc(n = snp6498169$complete$n)
ocbe-uio/contingencytables documentation built on Aug. 30, 2024, 7:16 a.m.
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View source: R/Goodman_Wald_CIs_for_diffs_1xc.R
| Goodman_Wald_CIs_for_diffs_1xc | R Documentation |
The Goodman Wald simultaneous intervals for the differences between the
Description
The Goodman Wald simultaneous intervals for the differences between the
multinomial probabilities (with Scheffe or Bonferroni adjustment)
Described in Chapter 3 "The 1xc Table and the Multinomial Distribution"
Usage
Goodman_Wald_CIs_for_diffs_1xc(n, alpha = 0.05, adjustment = "Bonferroni")
Arguments
n |
the observed counts (a 1xc vector, where c is the number of categories) |
alpha |
the nominal level, e.g. 0.05 for 95# CIs |
adjustment |
Scheffe or Bonferroni adjustment ("Scheffe" or "Bonferroni") |
Value
An object of the contingencytables_result class,
basically a subclass of base::list(). Use the utils::str() function
to see the specific elements returned.
Examples
Goodman_Wald_CIs_for_diffs_1xc(n = snp6498169$complete$n)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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