Calculate Intraclass Correlation Coefficient (ICC) for inter-rater reliability and agreement studies. Provides multiple ICC types with confidence intervals and APA-style formatting for clinical research applications.
Usage
icccoeff(
data,
vars,
icc_type = "icc2_1",
agreement_type = "consistency",
confidence_level = "0.95",
missing_values = "complete",
show_apa_format = TRUE,
show_interpretation = TRUE,
show_confidence_intervals = TRUE,
show_f_test = TRUE,
show_descriptive_stats = TRUE,
decimal_places = 3,
alpha_level = 0.05
)Arguments
- data
Dataset containing ratings from multiple raters
- vars
Variables representing ratings from different raters (subjects as rows, raters as columns)
- icc_type
Type of ICC calculation based on study design
- agreement_type
Whether to assess consistency or absolute agreement
- confidence_level
Confidence level for ICC confidence intervals
- missing_values
How to handle missing data
- show_apa_format
Display results in APA style format
- show_interpretation
Include interpretation guide for ICC values
- show_confidence_intervals
Display confidence intervals for ICC estimates
- show_f_test
Include F-test for significance of ICC
- show_descriptive_stats
Display descriptive statistics for each rater
- decimal_places
Number of decimal places in output
- alpha_level
Alpha level for statistical tests
Value
A results object containing:
results$instructions | a html | ||||
results$icc_results | a table | ||||
results$apa_format | a html | ||||
results$descriptive_stats | a table | ||||
results$reliability_assessment | a table | ||||
results$interpretation | a html |
Tables can be converted to data frames with asDF or as.data.frame. For example:
results$icc_results$asDF
as.data.frame(results$icc_results)