csReport: Report results of conditioning data

In condir: Computation of P Values and Bayes Factors for Conditioning Data

Report results of conditioning data

Description

Report results of data analyses run with the csCompare.

Usage

csReport(
  csCompareObj = NULL,
  csSensitivityObj = NULL,
  save = FALSE,
  fileName = "report",
  alphaLevel = 0.05,
  interpretation = FALSE
)

Arguments

csCompareObj	a list or data frame returned from the csCompare function. The object should be of class csCompare.
csSensitivityObj	Sensitivity analysis results returned from the csSensitivity function. The object should be of class csSensitivity.
save	If code argument is set to FALSE (default), the results are printed on the screen. Otherwise, a '.txt' file with the report is generated.
fileName	The file name of the produced report. The argument is ignored if save is set to FALSE.
alphaLevel	The alpha level to be used for determining significant or non-significant results.
interpretation	Should an interpretation of the results be included? (FALSE). In case of the Bayesian results, the results are interpreted according to Lee and Wagenmakers (2013).

Examples

set.seed(1000)
tmp <- csCompare(cs1 = rnorm(n = 100, mean = 10),
cs2 = rnorm(n = 100, mean = 9))
csReport(tmp)

condir documentation built on Sept. 22, 2023, 5:08 p.m.