jmvagreemulti: Nested/Replicate Data Agreement Analysis

In arcaldwell49/SimplyAgree: Flexible and Robust Agreement and Reliability Analyses

Nested/Replicate Data Agreement Analysis

Description

Nested/Replicate Data Agreement Analysis

Usage

jmvagreemulti(
  data,
  method1,
  method2,
  id,
  ciWidth = 95,
  agreeWidth = 95,
  testValue = 2,
  CCC = TRUE,
  valEq = FALSE,
  plotbland = FALSE,
  plotcon = FALSE,
  prop_bias = FALSE,
  xlabel = "Average of Both Methods",
  ylabel = "Difference between Methods"
)

Arguments

data	Data
method1	Name of column containing 1st Vector of data
method2	Name of column containing Vector of data
id	Name of column containing subject identifier
ciWidth	a number between 50 and 99.9 (default: 95), the width of confidence intervals
agreeWidth	a number between 50 and 99.9 (default: 95), the width of agreement limits
testValue	a number specifying the limit of agreement
CCC	TRUE or FALSE (default), produce CCC table
valEq	.
plotbland	TRUE or FALSE (default), for Bland-Altman plot
plotcon	TRUE or FALSE (default), for Line of identity plot
prop_bias	TRUE or FALSE
xlabel	The label for the x-axis on the BA plot
ylabel	The label for the y-axis on the BA plot

Value

A results object containing:

results$text					a preformatted
results$blandtab					a table
results$ccctab					a table
results$plotba					an image
results$plotcon					an image

Tables can be converted to data frames with asDF or as.data.frame. For example:

results$blandtab$asDF

as.data.frame(results$blandtab)

arcaldwell49/SimplyAgree documentation built on Oct. 26, 2024, 4:15 p.m.