1 Datos del diseño

library(readxl)
T1_DOE <- read_excel("D:/Libros de Ingeniería/T1_DOE.xlsx", sheet = "E1")

library(knitr)
library(kableExtra)
kable(T1_DOE, format = "html", style = "rmarkdown", justify = "center", report.nas = FALSE)%>% kable_styling(full_width = FALSE, position = "center")
Blancura Detergente Lavadora
45 A Lavadora 1
47 B Lavadora 1
50 C Lavadora 1
42 D Lavadora 1
43 A Lavadora 2
44 B Lavadora 2
49 C Lavadora 2
37 D Lavadora 2
51 A Lavadora 3
52 B Lavadora 3
57 C Lavadora 3
49 D Lavadora 3

1.1 Tabla ANOVA

attach(T1_DOE)
anova_e1<- aov(Blancura ~Detergente+Lavadora)
summary(anova_e1)
##             Df Sum Sq Mean Sq F value   Pr(>F)    
## Detergente   3 133.67   44.56   34.13 0.000363 ***
## Lavadora     2 170.17   85.08   65.17 8.52e-05 ***
## Residuals    6   7.83    1.31                     
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

1.2 Comparación de medias mediante LSD de Fisher

library(agricolae)
signif_lsd<-LSD.test(anova_e1,trt="Detergente", group=F,console=T)
## 
## Study: anova_e1 ~ "Detergente"
## 
## LSD t Test for Blancura 
## 
## Mean Square Error:  1.305556 
## 
## Detergente,  means and individual ( 95 %) CI
## 
##   Blancura      std r        se      LCL      UCL Min Max  Q25 Q50  Q75
## A 46.33333 4.163332 3 0.6596857 44.71914 47.94753  43  51 44.0  45 48.0
## B 47.66667 4.041452 3 0.6596857 46.05247 49.28086  44  52 45.5  47 49.5
## C 52.00000 4.358899 3 0.6596857 50.38581 53.61419  49  57 49.5  50 53.5
## D 42.66667 6.027714 3 0.6596857 41.05247 44.28086  37  49 39.5  42 45.5
## 
## Alpha: 0.05 ; DF Error: 6
## Critical Value of t: 2.446912 
## 
## Comparison between treatments means
## 
##       difference pvalue signif.       LCL        UCL
## A - B  -1.333333 0.2029         -3.616147  0.9494799
## A - C  -5.666667 0.0009     *** -7.949480 -3.3838535
## A - D   3.666667 0.0077      **  1.383853  5.9494799
## B - C  -4.333333 0.0035      ** -6.616147 -2.0505201
## B - D   5.000000 0.0017      **  2.717187  7.2828132
## C - D   9.333333 0.0001     ***  7.050520 11.6161465
graf_medias<-LSD.test(anova_e1,trt="Detergente", group=T,console=T)
## 
## Study: anova_e1 ~ "Detergente"
## 
## LSD t Test for Blancura 
## 
## Mean Square Error:  1.305556 
## 
## Detergente,  means and individual ( 95 %) CI
## 
##   Blancura      std r        se      LCL      UCL Min Max  Q25 Q50  Q75
## A 46.33333 4.163332 3 0.6596857 44.71914 47.94753  43  51 44.0  45 48.0
## B 47.66667 4.041452 3 0.6596857 46.05247 49.28086  44  52 45.5  47 49.5
## C 52.00000 4.358899 3 0.6596857 50.38581 53.61419  49  57 49.5  50 53.5
## D 42.66667 6.027714 3 0.6596857 41.05247 44.28086  37  49 39.5  42 45.5
## 
## Alpha: 0.05 ; DF Error: 6
## Critical Value of t: 2.446912 
## 
## least Significant Difference: 2.282813 
## 
## Treatments with the same letter are not significantly different.
## 
##   Blancura groups
## C 52.00000      a
## B 47.66667      b
## A 46.33333      b
## D 42.66667      c
plot(graf_medias,main="Comparación de medias por LSD de Fisher", xlab="Detergente", ylab="Blancura")