Package index • ClinicoPathDescriptives

All functions

ClinicoPathDescriptives-package ClinicoPathDescriptives: ClinicoPathDescriptives: Analysis for Clinicopathological Research
agepyramid(): Age Pyramid
agepyramidClass: Age Pyramid
agepyramid_cancer: Age Pyramid Cancer Dataset
agepyramid_geriatric: Age Pyramid Geriatric Dataset
agepyramid_pediatric: Age Pyramid Pediatric Dataset
agepyramid_reproductive: Age Pyramid Reproductive Dataset
agepyramid_test: Age Pyramid Test Dataset
agepyramid_unbalanced: Age Pyramid Unbalanced Dataset
alluvial(): Alluvial Diagrams
alluvialClass: Alluvial Plot
benford(): Benford Analysis
benford_test: Benford Test Dataset
bootstrapIDI(): Bootstrap IDI calculation with confidence intervals
calculate_auc(): Approximate AUC from sensitivity and specificity
calculate_nlr(): Calculate negative likelihood ratio
calculate_npv(): Calculate negative predictive value (NPV)
calculate_plr(): Calculate positive likelihood ratio
calculate_ppv(): Calculate positive predictive value (PPV)
calculate_sensitivity(): Calculate test sensitivity
calculate_specificity(): Calculate test specificity
categorize(): Categorize Continuous Variables
categorizeClass: Categorize Continuous Variables
checkdata(): Single Variable Quality Check
checkdata_test: Check Data Test Dataset
chisqposttest(): Chi-Square Post-Hoc Tests
chisqposttestClass: Chi-Square Post-Hoc Tests - Enhanced Implementation
chisqposttest_all_features: Chi-Square All Features Data
chisqposttest_comprehensive: Chi-Square Comprehensive Test Data
chisqposttest_null: Chi-Square Null Association Data
chisqposttest_perfect: Chi-Square Perfect Association Data
chisqposttest_small: Chi-Square Small Sample Data
chisqposttest_test_data: Chi-Square Post-Test Data
chisqposttest_weighted: Chi-Square Weighted Data
clinicopath_startup_message(): Package startup message
colorectal_ihc_data: Colorectal IHC Data
complex_alluvial_data: Complex Alluvial Data
crosstable(): Cross Tables
crosstableClass: Cross Tables Analysis Class
dataquality(): Multi-Variable Visual Quality
dataqualityClass: Data Quality Assessment
dataquality_test: Data Quality Test Dataset
election_survey_data: Election Survey Data
ggflowchart_comprehensive_data: Flowchart Comprehensive Data
histopathology: Histopathology Example Dataset
ihc_test_data: IHC Test Data
is_in_range(): Check if value is within valid range
load_required_package(): Check whether a required package is available
multi_group_workflow: Multi-Group Workflow Data
outlierdetection(): Outlier Detection
outlierdetectionClass: Outlier Detection with easystats
outlierdetection_basic: Outlier Detection Basic Dataset
outlierdetection_clinical: Outlier Detection Clinical Dataset
outlierdetection_edge_cases: Outlier Detection Edge Cases Dataset
outlierdetection_international: Outlier Detection International Dataset
outlierdetection_large: Outlier Detection Large Dataset
outlierdetection_multivariate: Outlier Detection Multivariate Dataset
outlierdetection_problematic: Outlier Detection Problematic Dataset
outlierdetection_psychological: Outlier Detection Psychological Dataset
outlierdetection_temporal: Outlier Detection Temporal Dataset
percent_no_time: Percent Data without Time
print(<sensSpecTable>): Format HTML table for sensitivity/specificity results
prop_to_percent(): Convert proportion to percentage string
raw_to_prob(): Convert raw test values to predicted probabilities using ROC curve
raw_with_time: Raw Data with Time Variable
reportcat(): Summary of Categorical Variables
reportcatClass: Summary of Categorical Variables
reportcat_test: Report Categorical Test Dataset
safe_divide(): Safe division function
sarcoma_data: Sarcoma IHC Data
summarydata(): Summary of Continuous Variables
summarydata_test: Summary Data Test Dataset
tableone(): Table One
tableoneClass: Table One
tableone_test: Table One Test Dataset
treatmentResponse: Treatment Response Data
validateROCInputs(): Validate inputs for ROC analysis
vartree(): Variable Tree
vartreeClass: Variable Tree
venn(): Venn Diagram