mcradds (version 1.1.1)

diagTab: Creates Contingency Table

Description

Creates a 2x2 contingency table from the data frame or matrix for the qualitative performance and reader precision of downstream analysis.

Usage

diagTab(
  formula = ~.,
  data,
  bysort = NULL,
  dimname = NULL,
  levels = NULL,
  rep = FALSE,
  across = NULL
)

Value

A object MCTab contains the 2x2 contingency table.

Arguments

formula

(numeric)
a formula object with the cross-classifying variables (separated by +) on the right hand side. If data is wide structure, the row name of contingency is represented by the variable to the left of the + sign, and the col name is the right. If data is long structure, the classified variable is put on the left of the formula, and the value variable is put on the right.

data

(data.frame or matrix)
a data frame or matrix.

bysort

(string)
a sorted variable from the col names of data, and a grouped variable for reproducibility analysis.

dimname

(vector)
a character vector define the row name of contingency table in first variable, and col name in second variable.

levels

(vector)
a vector of known levels for measurements.

rep

(logical)
whether to implement the reproducibility like reader precision or not.

across

(string)
the across variable to split original data set to subsets. The between-reader and within-reader precision's across variable is site commonly.

See Also

Summary() for object to calculate diagnostic accuracy criteria.

Examples

# For qualitative performance with wide data structure
data("qualData")
qualData %>% diagTab(formula = ~ CandidateN + ComparativeN)
qualData %>%
  diagTab(
    formula = ~ CandidateN + ComparativeN,
    levels = c(1, 0)
  )

# For qualitative performance with long data structure
dummy <- data.frame(
  id = c("1001", "1001", "1002", "1002", "1003", "1003"),
  value = c(1, 0, 0, 0, 1, 1),
  type = c("Test", "Ref", "Test", "Ref", "Test", "Ref")
)
dummy %>%
  diagTab(
    formula = type ~ value,
    bysort = "id",
    dimname = c("Test", "Ref"),
    levels = c(1, 0)
  )

# For Between-Reader precision performance
data("PDL1RP")
reader <- PDL1RP$btw_reader
reader %>%
  diagTab(
    formula = Reader ~ Value,
    bysort = "Sample",
    levels = c("Positive", "Negative"),
    rep = TRUE,
    across = "Site"
  )