print.factorplot: Print method for objects of class factorplot

Description

Prints the output from an object of class factorplot. By default, the function prints all pairwise differences along with standard errors and p-values (optionally adjusted for multiple testing). Optionally, it can print only significant differences.

Usage

# S3 method for factorplot
print(x, ..., digits = 3, sig = FALSE, trans = NULL)

Value

Printed output: The printed output shows the difference between all pairs of stimuli (i.e., levels of the factor) along with their standard errors and (optionally adjusted) p-values. If a transformation is implemented, the difference is transformed accordingly, but the standard errors and other values are on the linear scale.

Arguments

x: An object of class factorplot.
...: Other arguments passed to print, currently not implemented
digits: The number of digits to print in each column
sig: Logical indicating whether only significant differences should be printed.
trans: A character string representing the post-hypothesis-testing transformation to be performed on the estimates. For example, if the estimates provided to the factorplot command are log-floating absolute risks, you could use the transformation ‘exp’. The transformation is performed through a call to do.call

Author

Dave Armstrong

Examples

Run this code


est1 <- log(c(1.00,2.12,1.44,1.31,1.44,
     1.46,0.90))
var1 <- c(0.242,0.096,0.156,0.140,
     0.380,0.484,0.375)^2
names(est1) <- c(
     "Normal & superficial gastritis", 
     "Chronic gastritis", 
     "Chronic atrophic gastritits", 
     "Intestinal metaplasia I", 
     "Intestinal metaplasia II", 
     "Intestinal metaplasia III", 
     "Dysplasia")
plummer_fp1 <- factorplot(est1, var=var1, resdf=Inf)
print(plummer_fp1, trans="exp")