plots the least squares means and differences of least squares means
together with the confidence intervals for the fixed effects
Usage
## S3 method for class 'consmixed'
plot(x, main = NULL, cex = 1.4,
which.plot = c("LSMEANS", "DIFF of LSMEANS"),
effs = NULL, ...)
Arguments
x
object of class consmixed
main
string. Title for the plots
cex
A numerical value giving the amount by which plotting text and symbols
should be magnified relative to the default
which.plot
type of plot to be drawn
effs
name of the effext for which to draw the plots
...
other potential arguments.
Value
returns NULL
Author(s)
Alexandra Kuznetsova
Examples
#convert some variables to factors in Tham
ham <- convertToFactors(ham, c("Consumer", "Product", "Information", "Gender"))
res <- consmixed(response="Liking",
Prod_effects= c("Product","Information"),
Cons_effects=c("Gender","Age"), Cons = "Consumer", data =ham, structure=1)
plot(res)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(SensMixed)
Loading required package: lmerTest
Loading required package: Matrix
Loading required package: lme4
Attaching package: 'lmerTest'
The following object is masked from 'package:lme4':
lmer
The following object is masked from 'package:stats':
step
Attaching package: 'SensMixed'
The following object is masked from 'package:lmerTest':
ham
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/SensMixed/plot.consmixed.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plot.consmixed
> ### Title: plots the post-hoc for the consmixed object
> ### Aliases: plot.consmixed
> ### Keywords: ~kwd1 ~kwd2
>
> ### ** Examples
>
>
> #convert some variables to factors in Tham
> ham <- convertToFactors(ham, c("Consumer", "Product", "Information", "Gender"))
>
> res <- consmixed(response="Liking",
+ Prod_effects= c("Product","Information"),
+ Cons_effects=c("Gender","Age"), Cons = "Consumer", data =ham, structure=1)
>
> plot(res)
>
>
>
>
>
> dev.off()
null device
1
>