View source: R/csRobustnessPlot.R
csRobustnessPlot  R Documentation 
Plots the results of robustness test
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
)
cs1 
a numeric vector of values. If the 
cs2 
a numeric vector of values. If the 
group 
column index or name that contain the group data. See

data 
numeric matrix or data frame that contains the relevant data. 
alternative 
a character string for the specification of
the alternative hypothesis. Possible values: 
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 yaxis (default to NULL). 
sensitivity 
Should the sensitivity results be returned (default is set to FALSE). 
This plot template is influenced by the JASP way
(https://jaspstats.org/) for plotting sensitivity analysis results. On the
xaxis or the width of the Cauchy's Scale is plotted. On the yaxis either
BF01 is plotted (if BF01
is set to TRUE) or
BF10 (if BF01
is set to FALSE).
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)
csRobustnessPlot(cs1 = rnorm(n = 100, mean = 10),
cs2 = rnorm(n = 100, mean = 9))
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