senso

Description

Dataset to illustrate one-way and Two-way analysis of variance

Usage

data(senso)

Format

Dataset with 45 rows and 3 columns: Score, Product and Day

Examples

## Example of 2-way analysis of variance
data(senso)
res <- AovSum (Score~ Product + Day, data=senso)
res

## Example of 2-way analysis of variance with interaction
data(senso)
res2 <- AovSum (Score~ Product + Day + Product : Day, data=senso)
res2

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(FactoMineR)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/FactoMineR/senso.Rd_%03d_medium.png", width=480, height=480)
> ### Name: senso
> ### Title: senso
> ### Aliases: senso
> ### Keywords: datasets
> 
> ### ** Examples
> 
> ## Example of 2-way analysis of variance
> data(senso)
> res <- AovSum (Score~ Product + Day, data=senso)
> res
Ftest
               SS df      MS F value   Pr(>F)    
Product    2.0278  2  1.0139  3.4428  0.04148 *  
Day       25.4725  1 25.4725 86.4959 1.18e-11 ***
Residuals 12.0742 41  0.2945                     
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Ttest
             Estimate Std. Error t value Pr(>|t|)    
(Intercept)  4.590736   0.081464 56.3528  < 2e-16 ***
Product - 1  0.237057   0.120675  1.9644  0.05628 .  
Product - 2 -0.284745   0.114663 -2.4833  0.01720 *  
Product - 3  0.047688   0.118456  0.4026  0.68935    
Day - 1      0.803378   0.086382  9.3003  < 2e-16 ***
Day - 2     -0.803378   0.086382 -9.3003  < 2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
> 
> ## Example of 2-way analysis of variance with interaction
> data(senso)
> res2 <- AovSum (Score~ Product + Day + Product : Day, data=senso)
> res2
Ftest
                 SS df      MS F value    Pr(>F)    
Product      1.7773  2  0.8886  2.9876   0.06206 .  
Day         25.8418  1 25.8418 86.8787 1.804e-11 ***
Product:Day  0.4738  2  0.2369  0.7964   0.45813    
Residuals   11.6004 39  0.2974                      
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Ttest
                        Estimate Std. Error t value Pr(>|t|)    
(Intercept)            4.5842929  0.0871239 52.6181  < 2e-16 ***
Product - 1            0.2557071  0.1225836  2.0860  0.04357 *  
Product - 2           -0.2509596  0.1203159 -2.0858  0.04358 *  
Product - 3           -0.0047475  0.1266521 -0.0375  0.97029    
Day - 1                0.8120707  0.0871239  9.3209  < 2e-16 ***
Day - 2               -0.8120707  0.0871239 -9.3209  < 2e-16 ***
Product - 1 : Day - 1  0.0279293  0.1225836  0.2278  0.82096    
Product - 2 : Day - 1 -0.1454040  0.1203159 -1.2085  0.23412    
Product - 3 : Day - 1  0.1174747  0.1266521  0.9275  0.35935    
Product - 1 : Day - 2 -0.0279293  0.1225836 -0.2278  0.82096    
Product - 2 : Day - 2  0.1454040  0.1203159  1.2085  0.23412    
Product - 3 : Day - 2 -0.1174747  0.1266521 -0.9275  0.35935    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
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> dev.off()
null device 
          1 
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