get Endpoint for continuous data according to results of a series of tests

Usage

contEndpoint(
  paov,
  pks,
  pnormal,
  phomogeneity,
  monotonicity,
  william,
  dunnett,
  dunn,
  jonckheere,
  procedure = "stepDown",
  doses = c("A", "B", "C", "D")
)

Arguments

paov: Anova p-value
pks: Kolmogorov-Smirnov test p-value
pnormal: Normal test p-value
phomogeneity: Homogeneity variance test p-value
monotonicity: Monotonicity test p-value
william: Williams' test p-value
dunnett: Dunnett's test p-value
dunn: Dunn's test p-value
jonckheere: Jonckheere-Tepstra test p-value
procedure: step down of up
doses: tested doses

Value

NOEC along with an attribute indicating which test was used.

Details

Purpose: The contEndpoint function computes the No Observed Effect Concentration (NOEC) based on the results of various statistical tests. It evaluates these tests' p-values to determine which statistical analysis is most appropriate.The function first checks the significance of the monotonicity test. Depending on the results, it selects the appropriate p-value from the relevant test (Dunnett, Dunn, Williams, or Jonckheere) to compute the NOEC. The function returns the NOEC along with an attribute indicating which test was used. Original function used directly the williams' test or dunnett's test objects as input, which can cause conflicts when using different functions to get the pvals.

Examples

contEndpoint(paov = 0.01, pks = 0.03, pnormal = 0.06,
phomogeneity = 0.07, monotonicity = c(0.1,0.2),
william = c(0.07, 0.06, 0.03, 0.01), dunnett = c(0.07, 0.06, 0.03, 0.01),
dunn = c(0.07, 0.06, 0.03, 0.01),
jonckheere = c(0.07, 0.06, 0.03, 0.01),
procedure = "stepDown",
doses = c("Control","A", "B", "C", "D"))
#> [1] "B"
#> attr(,"test")
#> [1] "Williams"