DE

##facrotial comp

library(dplyr)

## Warning: package 'dplyr' was built under R version 4.2.2

## 
## Attaching package: 'dplyr'

## The following objects are masked from 'package:stats':
## 
##     filter, lag

## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union

xy= expand.grid(x= seq(6),y=seq(4))
xy = sample_frac (xy)
xy$f1 = gl(4,6,24,paste0("v",1:4))
xy$f2 = gl(3,2,24,paste0("R",1:4))
xy$rep = gl(2,1,24, paste0("r",1:4))
xy$name = paste0(xy$f1,xy$f2,xy$rep)

library(ggplot2)

## Warning: package 'ggplot2' was built under R version 4.2.2

ggplot(xy)+
  aes(x,y,label=name,fill=f2)+
  geom_tile(color="white")+
geom_label(fill="white")

library(dplyr)
xy = expand.grid(y = seq(4), x = seq(6))
f2 = gl(3, 8, 24, paste0('R',1:3))
lf1 = paste0('V',1:4)
f1 = c(sample(lf1),sample(lf1),
       sample(lf1),sample(lf1),
       sample(lf1),sample(lf1))
rep = rep(rep(paste0('r',1:2), each=4), 3)

data = data.frame(xy, f1, f2, rep)
data$name = with(data, paste0(f1, rep))
library(ggplot2)
ggplot(data)+
  aes(x,y,label=name, fill=f1)+
  geom_tile(color='white')+
  geom_text()+
  facet_wrap(~f2, scales = 'free')+
  theme(axis.text = element_blank())

set.seed(123)
data$biom = rnorm(24,8,2)
## Analisis descriptivo

ggplot(data)+aes(f2,biom)+geom_boxplot()

ggplot(data)+aes(f1,biom)+geom_boxplot()

ggplot(data)+aes(f2,biom, fill=f1)+geom_boxplot()

##funcion diferente analisis estadistico

mod1=aov(biom~f2*f1+Error(f2:rep), data)

## Warning in aov(biom ~ f2 * f1 + Error(f2:rep), data): Error() model is singular

summary(mod1)

## 
## Error: f2:rep
##           Df Sum Sq Mean Sq F value Pr(>F)  
## f2         2 13.327   6.664   8.078  0.062 .
## Residuals  3  2.475   0.825                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Error: Within
##           Df Sum Sq Mean Sq F value Pr(>F)
## f1         3   6.69   2.229   0.623  0.618
## f2:f1      6  29.92   4.987   1.395  0.314
## Residuals  9  32.18   3.575