plots the post-hoc for the consmixed object

Description

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

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)

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> 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 
>