añadir randomizado 1
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@@ -3,6 +3,8 @@ library(ggplot2)
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library(reshape2)
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library(openxlsx)
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library(dplyr)
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library(car)
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library(ggbeeswarm)
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source("../../funcions.R")
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# Define UI for application
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@@ -25,6 +27,52 @@ ui <- fluidPage(
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# Define server logic required to draw a histogram
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server <- function(input, output) {
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output$distPlot <- renderPlot({
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df<-read.xlsx(input$file1$datapath)
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up_cuttof<-400
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low_cuttof<-50
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df<-df[df$Volumen < up_cuttof & df$Volumen > low_cuttof,]
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df["Mouse"]<-gsub("[a-zA-Z]", "", df$MouseID)
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s<-shapiro.test(df$Volumen)[[2]]
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ngroup<-5
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ind.list<-list()
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pval.list<-list()
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lvn.list<-list()
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test.list<-list()
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for (data in 1:2000){
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interr=T
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while(interr == T){
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ind<-sample(rep(1:ngroup, each=7), length(unique(df$Mouse)))
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df_temp<-merge(df, data.frame("Mouse"=unique(df$Mouse), "group"=as.factor(ind)))
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interr<-any(table(df_temp$group) < floor(nrow(df_temp)/5) | table(df_temp$group) > ceiling(nrow(df_temp)/5))
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}
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ind.list[[data]]<-df_temp[,c("MouseID","group")]
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lvn.list[data]<-leveneTest(Volumen ~ group, data = df_temp[,3:4])[[2]][1]
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if (s < 0.05){
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k<-kruskal.test(df_temp$Volumen,df_temp$group)
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test.list[data]<-k[[1]][1]
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pval.list[data]<-k[[3]][1]
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}else{
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res.aov<-aov(Volumen~group, data=df_temp)
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pval.list[data]<-summary(res.aov)[[1]][[5]][1]
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test.list[data]<-summary(res.aov)[[1]][[4]][1]
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}
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}
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index<-which(unlist(lvn.list) == min(unlist(lvn.list)[which(unlist(pval.list) %in% sort(unlist(pval.list), decreasing = T)[1:20])]))
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df_def<-merge(df, ind.list[[index]])
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ggplot(df_def, aes(group, Volumen))+
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geom_boxplot(outlier.alpha = F)+
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geom_jitter(width=0.25)+
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geom_point(stat="summary", color="blue", size=3)+
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lims(y=c(0,max(df_def$Volumen)+10))
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})
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output$downloadData <- downloadHandler(
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filename = function() {
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