summary-methods: Summary Estimates and Statistical Tests

In MRMCaov: Multi-Reader Multi-Case Analysis of Variance

Summary Estimates and Statistical Tests

Description

Summary estimates and statistical tests from single and multi-reader multi-case analyses.

Usage

## S3 method for class 'mrmc'
summary(object, conf.level = 0.95, ...)

## S3 method for class 'stmc'
summary(object, conf.level = 0.95, ...)

Arguments

object	object to summarize.
conf.level	confidence level for confidence intervals.
...	additional arguments affecting the summary.

Value

The respective method functions return summary.mrmc and summary.stmc class objects.

Object summary.mrmc is a list of the following elements.

data_name

character name of the original data frame supplied for the analysis.

cov_method

character name of the covariance method.

design

experimental study design: 1 = factorial, 2 = cases nested within readers, 3 = cases nested within tests.

vars

character names of the analysis factors and reader performance metric.

conf.level

numeric confidence interval level.

vcov_comps

data frame of estimated variances, covariances, and correlations.

test_equality

data frame of the ANOVA global test of equality.

test_diffs

data frame of pairwise test differences.

test_means

data frame of estimated test means.

reader_test_diffs

data frame of (fixed) reader-specific pairwise test differences.

reader_means

data frame of (fixed) reader-specific test means.

Object summary.stmc is a numeric vector of the estimated reader performance mean, standard error, lower confidence limit, and upper confidence limit.

See Also

mrmc, srmc, stmc

MRMCaov documentation built on Jan. 11, 2023, 1:14 a.m.