csRobustnessPlot {condir} R Documentation

## Plot robustness results

### Description

Plots the results of robustness test

### Usage

csRobustnessPlot(
cs1,
cs2,
group = NULL,
data = NULL,
alternative = "two.sided",
conf.level = 0.95,
mu = 0,
rscaleSens = c("medium", "wide", "ultrawide"),
BF01 = TRUE,
ylimz = NULL,
sensitivity = FALSE
)


### Arguments

 cs1 a numeric vector of values. If the data argument is defined, it can refer to either the column index or the column name of the data object. See Details for more information. cs2 a numeric vector of values. If the data argument is defined, it can refer to either the column index or the column name of the data object. See Details for more information. group column index or name that contain the group data. See Details for more information. data numeric matrix or data frame that contains the relevant data. alternative a character string for the specification of the alternative hypothesis. Possible values: "two.sided" (default), "greater" or "less". conf.level Interval's confidence level. mu a numeric value for the mean value or mean difference. rscaleSens the scale factor for the prior used in the Bayesian t.test BF01 Should the BF01 be plotted (default is set to TRUE). If FALSE, the BF10 is plotted. ylimz the limits of the y-axis (default to NULL). sensitivity Should the sensitivity results be returned (default is set to FALSE).

### Details

This plot template is influenced by the JASP way (https://jasp-stats.org/) for plotting sensitivity analysis results. On the x-axis or the width of the Cauchy's Scale is plotted. On the y-axis either BF01 is plotted (if BF01 is set to TRUE) or BF10 (if BF01 is set to FALSE).

### References

JASP Team (2019). JASP (Version 0.11.1)[Computer software].

Krypotos, A. M., Klugkist, I., & Engelhard, I. M. (2017). Bayesian hypothesis testing for human threat conditioning research: An introduction and the condir R package. European Journal of Psychotraumatology, 8.

csCompare, csSensitivity
set.seed(1000)