Medical Decision

Function for Medical Decision Analysis. Sensitivity, specificity, positive predictive value, negative predictive value.

decision(
  data,
  gold,
  goldPositive,
  newtest,
  testPositive,
  pp = FALSE,
  pprob = 0.3,
  od = FALSE,
  fnote = FALSE,
  ci = FALSE,
  fagan = FALSE
)

Arguments

data	The data as a data frame.
gold	.
goldPositive	.
newtest	.
testPositive	.
pp	.
pprob	Prior probability (disease prevelance in the community). Requires a value between 0.001 and 0.999, default 0.300.
od	Boolean selection whether to show frequency table. Default is 'false'.
fnote	.
ci	.
fagan	.

Value

A results object containing:

results$text1					a preformatted
results$cTable					a table
results$nTable					a table
results$ratioTable					a table
results$epirTable_ratio					a table
results$epirTable_number					a table
results$plot1					an image

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

results$cTable$asDF

as.data.frame(results$cTable)

Examples

if (FALSE) {
# example will be added
}