FIP606-Proyecto: Interpretación de Resultados

Published

July 3, 2024

Preparación Base de Datos

  • Cargar paquetes de análisis

Codigo
library(tidyverse)
library(gsheet)
library(cowplot)
library(patchwork)
library(ggthemes)
library(viridis)
library(epifitter)
library(ggplot2)
library("writexl")
library(nlme)
library(lme4)
library(DHARMa)
library(performance)
library(report)
library(emmeans)
library(multcompView)
library(multcomp)
library(corrplot)
library(see)
library(lubridate)
library(agridat)
library(cowplot)
library(agricolae)
library(sf)
library(lme4)
library(broom)
library(lattice)
library(car)
library(scales)
library(readxl)
library(dplyr)
library(knitr)
library(kableExtra)
library(easyanova)
library(tidyr)
library(PerformanceAnalytics)
library(magrittr)
library(car)
library(ggpubr)
library(rstatix)
library(reshape)
library(kableExtra)
library(formattable)
library(sjPlot)
library(sjlabelled)
library(sjmisc)
library(ggh4x)
library(gridExtra)
library(stringr)
library(epiR)
library(ggridges)
library(RColorBrewer)
library(DT)
library(gsheet)

Preparación de la Base de datos

Codigo
dat<-read.csv2("Pn_PAT104022.csv")

dat |>
  DT::datatable(
    extensions = 'Buttons', 
    options = list(dom = 'Bfrtip', 
                   Buttons = c('excel', "csv")))
Codigo
dat %>% 
  ggplot(aes(mean_inc, mean_def, size = Pn.Lote., color = Parcela))+
  geom_point()+ 
  facet_wrap(~Evaluacion)+
  theme_clean()+
  theme(axis.text = element_text(size = 8),
                  axis.text.x = element_text( size =10),
                  axis.title = element_text(size = 10),
                  strip.text.x=element_text(face="bold",size =10,margin=margin(1,0,1,0)),
                  plot.background = element_rect(colour = "white"),
                  legend.background = element_rect(colour = "white"),
                  legend.title = element_text( face="bold",size = 10),
                  legend.text = element_text( size = 10),
                  plot.title = element_text(size = 15,face="bold"),
                  plot.subtitle = element_text(size = 15),
                  legend.position = "top" ) +
  ylim(50,80)+
  xlim(0,50)+
  scale_color_manual(values = c( "#669933","#FFCC66","#990000"))+ 
              labs( x= "% Incidencia",
              y = "% Defoliación",
              title = "Interacción Incidencia-Defoliación-Pn",subtitle =""
            )

Implicaciones Biologicas

¿El nuevo fungicida si está controlando la enfermedad?

Analysis carried out in the FIP606 Copyrigth Gustavo Marin / Gabriela Rivadeneira © 2024

いいですか、私たちの神は主おひとりです。

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