Function reference • mcradds

Package

mcradds mcradds-package: mcradds Package

Classes and Constructors

SampleSize(): SampleSize Class

MCTab(): MCTab Class

BAsummary(): BAsummary Class

RefInt(): Reference Interval Class

tpROC(): Test for Paired ROC Class

Desc(): Descriptive Statistics Class

Internal Helper Functions

cat_with_newline(): Concatenate and Print with Newline

h_factor(): Factor Variable Per Levels

h_summarize(): Summarize Basic Statistics

h_difference(): Compute Difference for Bland-Altman

h_fmt_num(): Format Numeric Data

h_fmt_est(): Format and Concatenate to String

h_fmt_range(): Format and Concatenate to Range

h_fmt_count_perc(): Format count and percent

esd.critical(): Compute Critical Value for ESD Test

tukey_outlier(): Detect Tukey Outlier

dixon_outlier(): Detect Dixon Outlier

robustRI(): Robust Method in Calculation of Reference Interval

nonparRI(): Nonparametric Method in Calculation of Reference Interval

Example Data

platelet: Quantitative Measurement Data

qualData: Simulated Qualitative Data

calcium: Reference Interval Data

nonparRanks: Nonparametric Rank Number of Reference Interval

glucose: Inermediate Precision Data

ldlroc: Two-sampled Paired Test Data

PDL1RP: PD-L1 Reader Precision Data

adsl_sub: CDISC ADSL Subsetting Data

Methods

show(<SampleSize>) show(<MCTab>) show(<BAsummary>) show(<RefInt>) show(<tpROC>) show(<Desc>): Show Method for Objects

getAccuracy(): Summary Method for MCTab Objects

getOutlier(): Detect Outliers From BAsummary Object

autoplot(): Generate a ggplot for Bland-Altman Plot and Regression Plot

Functions

size_one_prop(): Sample Size for Testing One Proportion

size_ci_one_prop(): Sample Size for Testing Confidence Interval of One Proportion

size_corr(): Sample Size for Testing Pearson's correlation

size_ci_corr(): Sample Size for Testing Confidence Interval of Pearson's correlation

diagTab(): Creates Contingency Table

blandAltman(): Calculate Statistics for Bland-Altman

printSummary(): Print Summary of a Regression Analysis

getCoefficients(): Get Regression Coefficients

mcreg(): Comparison of Two Measurement Methods Using Regression Analysis

calcBias(): Systematical Bias Between Reference Method and Test Method

pearsonTest(): Hypothesis Test for Pearson Correlation Coefficient

spearmanTest(): Hypothesis Test for Spearman Correlation Coefficient

ESD_test(): EDS Test for Outliers

refInterval(): Calculate Reference Interval and Corresponding Confidence Interval

anovaVCA(): ANOVA-Type Estimation of Variance Components for Random Models

VCAinference(): Inferential Statistics for VCA-Results

aucTest(): AUC Test for Paired Two-sample Measurements

descfreq(): Summarize Frequency Counts and Percentages

descvar(): Summarize Descriptive Statistics