| StatsMetric | R Documentation | 
Bayesian alternative to ANOVA
StatsMetric( y = NULL, y.names = NULL, x = NULL, x.names = NULL, DF, params = NULL, job.group = NULL, initial.list = list(), model.name, jags.model, custom.model = NULL, run.robust = FALSE, ... )
y | 
 criterion variable(s), Default: NULL  | 
y.names | 
 optional names for criterion variable(s), Default: NULL  | 
x | 
 categorical variable(s), Default: NULL  | 
x.names | 
 optional names for categorical variable(s), Default: NULL  | 
DF | 
 data to analyze  | 
params | 
 define parameters to observe, Default: NULL  | 
job.group | 
 for some hierarchical models with several layers of parameter names (e.g., latent and observed parameters), Default: NULL  | 
initial.list | 
 initial values for analysis, Default: list()  | 
model.name | 
 name of model used  | 
jags.model | 
 specify which module to use  | 
custom.model | 
 define a custom model to use (e.g., string or text file (.txt), Default: NULL  | 
run.robust | 
 logical, indicating whether or not robust analysis, Default: FALSE  | 
... | 
 further arguments passed to or from other methods  | 
complete.cases,
sd,
aggregate,
median
head
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.