| summary {MRMCaov} | R Documentation |
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.