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server.R
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server.R
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#
# This is the server logic of a Shiny web application. You can run the
# application by clicking 'Run App' above.
#
# Find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com/
#
library(DT)
library(shiny)
library(lme4)
library(multcomp)
library(nlme)
library(ggplot2)
library(dplyr)
library(prospectr)
library(nortest)
library(knitr)
source("outlier.R")
source("normalityNew.R")
source("subsetAnalysis.R")
source("analysisOfVariance.R")
source("wideToLong.R")
source("momTransformation.R")
source("steadyState.R")
source("bartlett.R")
# Define server logic required to draw a histogram
shinyServer(function(input, output, session) {
dataLoad <- reactive({ ## Data input.
if(input$selectData==2){ ## Example data
data <- read.table("www/data/example_data.txt", header=TRUE, sep = "\t")
}
else if(input$selectData==1){ ## Upload Data
if(input$dataInput==1){ ## Long Format
inFile <- input$uploadLong
mySep <- switch(input$fileSepDF, '1'=",",'2'="\t",'3'=";", '4'="")
if (is.null(input$uploadLong)) {return(NULL)}
}
else if(input$dataInput==2){ ## Wide Format
inFile <- input$uploadWide
mySep <- switch(input$fileSepDFWide, '1'=",",'2'="\t",'3'=";", '4'="")
if (is.null(input$uploadWide)) {return(NULL)}
}
if (file.info(inFile$datapath)$size <= 10485800){
data <- read.table(inFile$datapath, sep=mySep, header=TRUE, fill=TRUE, na.strings = c("", "NA","."))
}
else print("File is bigger than 10MB and will not be uploaded.")
}
return(data)
}
)
dataM <- reactive({
data = dataLoad()
if((input$showResult == "lnTransformed" || input$showResult == "transformBack") && input$run){
data[,input$analyte] = log(data[,input$analyte])
}
if(input$showResult == "cv" && input$run){
means = tapply(data[,input$analyte] , data[,input$subject], mean, na.rm = TRUE)
subjects = split(data, data[,input$subject])
for(i in 1:length(means)){
subjects[[i]][,input$analyte] = subjects[[i]][,input$analyte] / means[i]
}
data = do.call(rbind.data.frame, subjects)
}
if(input$showResult == "mom" && input$run){
data = momTransformation(data = data, time = input$time, measure = input$analyte, method ="mom")
}
if(input$showResult == "lnmom" && input$run){
data = momTransformation(data = data, time = input$time, measure = input$analyte, method ="lnmom")
}
return(data)
})
dataAnalysis <- reactive({
if(input$dataInput==1){
dataM()
# if((input$showResult == "lnTransformed" || input$showResult == "transformBack") && input$run){
#
# data[,input$analyte] = log(data[,input$analyte])
#
# }
# if(input$showResult == "cv" && input$run){
#
#
# means = tapply(data[,input$analyte], data[,input$subject], mean, na.rm = TRUE)
#
# subjects = split(data, data[,input$subject])
#
#
# for(i in 1:length(means)){
#
# subjects[[i]][,input$analyte] = subjects[[i]][,input$analyte] / means[i]
#
# }
#
#
# data = do.call(rbind.data.frame, subjects)
#
# }
# if(input$showResult == "mom" && input$run){
#
#
# data = momTransformation(data = data, time = input$time, measure = input$analyte, method ="mom")
#
#
# }
#
# if(input$showResult == "lnmom" && input$run){
#
#
# data = momTransformation(data = data, time = input$time, measure = input$analyte, method ="lnmom")
#
#
# }
}
else if(input$dataInput==2){
if(input$runWideToLong){
data = dataWideToLong()
if((input$showResult == "lnTransformed" || input$showResult == "transformBack") && input$run){
data[,input$analyte] = log(data[,input$analyte])
}
if(input$showResult == "cv" && input$run){
means = tapply(data[,input$analyte], data[,input$subject], mean, na.rm = TRUE)
subjects = split(data, data[,input$subject])
for(i in 1:length(means)){
subjects[[i]][,input$analyte] = subjects[[i]][,input$analyte] / means[i]
}
data = do.call(rbind.data.frame, subjects)
}
if(input$showResult == "mom" && input$run){
data = momTransformation(data = data, time = input$time, measure = input$analyte, method ="mom")
}
if(input$showResult == "lnmom" && input$run){
data = momTransformation(data = data, time = input$time, measure = input$analyte, method ="lnmom")
}
}
}
})
dataWideToLong <- reactive({
if(input$runWideToLong){
dataLong = wideToLong(data = dataM(), subject = input$subjectWide, gender = input$genderWide, timeRange = input$timeRange, replicate = input$replicateWide, analyte = input$analyteWide)
dataLong
}
})
output$RawData <- DT::renderDataTable(
dataAnalysis(), options = list(iDisplayLength = 10)
)
observe({
updateSelectInput(session, "analyte", choices = colnames(dataM()), selected = colnames(dataM())[5])
updateSelectInput(session, "time", choices = colnames(dataM()), selected = colnames(dataM())[3])
updateSelectInput(session, "replicate", choices = colnames(dataM()), selected = colnames(dataM())[4])
updateSelectInput(session, "subject", choices = colnames(dataM()), selected = colnames(dataM())[1])
updateSelectInput(session, "gender", choices = colnames(dataM()), selected = colnames(dataM())[2])
})
observe({
# updateSelectInput(session, "analyteWide", choices = colnames(dataAnalysis()), selected = colnames(dataAnalysis())[3])
updateSelectInput(session, "timeRange", choices = colnames(dataM()), selected = colnames(dataM())[7])
updateSelectInput(session, "replicateWide", choices = colnames(dataM()), selected = colnames(dataM())[8])
updateSelectInput(session, "subjectWide", choices = colnames(dataM()), selected = colnames(dataM())[1])
updateSelectInput(session, "genderWide", choices = colnames(dataM()), selected = colnames(dataM())[2])
})
### Outlier results ##########
outlierResults <- reactive({
if(input$run){
outlier(data=dataM(), analyte = input$analyte, replicate = input$replicate, time = input$time,
gender = input$gender, subject = input$subject, decimal = input$decimal, outlierS1 = input$step1Options,
outlierS2 = input$step2Options, outlierS3 = input$step3Options,
showResult = input$showResult)
}
})
dataSetWithoutOutliers <- reactive({
outlierResults()[[4]]
})
### Step1 Outlier results ##########
output$outlierStepRes1 <- DT::renderDataTable(server = FALSE, {
if(input$run){
DT::datatable(outlierResults()[[1]], extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
### Step2 Outlier results ##########
output$outlierStepRes2 <- DT::renderDataTable(server = FALSE, {
if(input$run){
DT::datatable(outlierResults()[[2]], extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
### Step3 Outlier results ##########
output$outlierStepRes3 <- DT::renderDataTable(server = FALSE, {
if(input$run){
DT::datatable(outlierResults()[[3]], extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
### Normality ##########
normalityResults <- reactive({
normalityNew(data=dataSetWithoutOutliers(), subject = "subject", analyte = "value", decimal = input$decimal, test = input$normalityTest, transformation = FALSE, showResult=input$showResult)
})
### Normality: Step1 ##########
output$normalityStep1 <- DT::renderDataTable(server = FALSE, {
if(input$run){
DT::datatable(normalityResults()[[1]], extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
### Normality: Step2 ##########
output$normalityStep2 <- DT::renderDataTable(server = FALSE, {
if(input$run){
DT::datatable(normalityResults()[[2]], extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
### Steady State ##########
steadyStateResult <- reactive({
steadyState(data=dataSetWithoutOutliers(), measure = "value", time = "time",
central = input$steadyStateCenter, decimal = input$decimal, alpha = input$alphaLevel)
})
output$steadyStateRes <- DT::renderDataTable(server = FALSE, {
if(input$run){
DT::datatable(steadyStateResult(), extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
output$steadyStatePlot <- renderPlot({
if(input$run){
steadyState(data=dataSetWithoutOutliers(), measure = "value", time = "time",
central = input$steadyStateCenter, decimal = input$decimal, alpha = input$alphaLevel)
}
})
### Subset Analysis ##########
subsetResults <- reactive({
subsetAnalysis(data=dataSetWithoutOutliers(), subject = input$subject, gender = input$gender, analyte = input$analyte, CVresult = input$showResult, decimal = input$decimal)
})
### Homogenity ##########
####Bartlett Analytical ####
output$bartlettAnalytical <- DT::renderDataTable(server = FALSE, {
if(input$run){
res = homogeneityAnalytical(dataSetWithoutOutliers(), subject = "subject", time = "time", replicate="replicate", alpha = input$alphaLevel, decimal = input$decimal, correction = TRUE, test = input$homogeneityTest)
DT::datatable(res, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
output$bartlettWithin <- DT::renderDataTable(server = FALSE, {
if(input$run){
res = homogeneityWithin(dataSetWithoutOutliers(), subject = "subject", time = "time", replicate="replicate", alpha = input$alphaLevel, decimal = input$decimal, correction = TRUE , test = input$homogeneityTest)
DT::datatable(res, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
output$homogenity <- DT::renderDataTable(server = FALSE, {
if(input$run){
DT::datatable(subsetResults()[[1]], extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
### t test for means ##########
output$ttest <- DT::renderDataTable(server = FALSE, {
if(input$run && input$subgroupTest == "ttest"){
DT::datatable(subsetResults()[[2]], extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && input$subgroupTest == "mw"){
DT::datatable(subsetResults()[[5]], extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
### Homogenity SIA ##########
output$homogenitySIA <- DT::renderDataTable(server = FALSE, {
if(input$run){
DT::datatable(subsetResults()[[3]], extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
### ttest SIA ##########
output$ttestSIA <- DT::renderDataTable(server = FALSE, {
if(input$run){
DT::datatable(subsetResults()[[4]], extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
### t test for means ##########
output$mwtest <- DT::renderDataTable(server = FALSE, {
if(input$run){
DT::datatable(subsetResults()[[5]], extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
######################## Analysis of variance ############
analysisOfVarinceResults <- reactive({
analysisOfVariance(dataSetWithoutOutliers(), subject= "subject", gender = "gender", replicate = "replicate", time = "time", decimal = input$decimal, CVresult = input$showResult, alpha = input$alphaLevel)
# analysisOfVariance(data, subject= "subject", gender = "Gender", replicate = "replicate", time = "time", subset = T, CVresult = "transformed")
})
subsetCVResults <- reactive({
aov = analysisOfVarinceResults()
##### CVg Between
if(input$run && (input$showResult == "original" || input$showResult == "lnTransformed")){
gender1 = aov$resultsOriginalGenderLme1$CVTable[1,c(1,3:5)]
gender2 = aov$resultsOriginalGenderLme2$CVTable[1,c(1,3:5)]
g1 = aov$resultsOriginalGenderLme1$CVresults[[1]]
g2 = aov$resultsOriginalGenderLme2$CVresults[[1]]
}
else if(input$run && (input$showResult == "cv" || input$showResult == "mom" || input$showResult == "lnmom")){
gender1 = aov$resultsCvAnovaGender1$CVTable[1,c(1,3:5)]
gender2 = aov$resultsCvAnovaGender2$CVTable[1,c(1,3:5)]
g1 = aov$resultsCvAnovaGender1$CVresults[[1]]
g2 = aov$resultsCvAnovaGender2$CVresults[[1]]
}
else if(input$run && input$showResult == "transformBack"){
gender1 = aov$resultsTransformBackGenderLnLme1$CVTable[1,c(1,3:5)]
gender2 = aov$resultsTransformBackGenderLnLme2$CVTable[1,c(1,3:5)]
g1 = aov$resultsTransformBackGenderLnLme1$CVresults[[1]]
g2 = aov$resultsTransformBackGenderLnLme2$CVresults[[1]]
}
genderCVg = rbind.data.frame(gender1,gender2)
genderCVg2 = cbind.data.frame(Gender = c(g1,g2), genderCVg)
colnames(genderCVg2) = c("Gender","Source", "CV%", paste0("Lower Limit (",(1-as.numeric(input$alphaLevel))*100,"%)"), paste0("Upper Limit (",(1-as.numeric(input$alphaLevel))*100,"%)"))
rownames(genderCVg2) =NULL
ci.vals = cbind(genderCVg2[1,4] - genderCVg2[2,5], genderCVg2[1,5]-genderCVg2[2,5],
genderCVg2[1,5]-genderCVg2[2,4])
overlapTest = (ci.vals[,1] > 0 & ci.vals[,2] > 0 & ci.vals[,3] > 0) | (ci.vals[,1] < 0 & ci.vals[,2] < 0 & ci.vals[,3] < 0)
resultCVg = ifelse(overlapTest, "Significant Difference", "No Difference")
##### CVi Within
if(input$run && (input$showResult == "original" || input$showResult == "lnTransformed")){
gender1 = aov$resultsOriginalGenderLme1$CVTable[2,c(1,3:5)]
gender2 = aov$resultsOriginalGenderLme2$CVTable[2,c(1,3:5)]
g1 = aov$resultsOriginalGenderLme1$CVresults[[1]]
g2 = aov$resultsOriginalGenderLme2$CVresults[[1]]
}
else if(input$run && (input$showResult == "cv" || input$showResult == "mom" || input$showResult == "lnmom")){
gender1 = aov$resultsCvAnovaGender1$CVTable[2,c(1,3:5)]
gender2 = aov$resultsCvAnovaGender2$CVTable[2,c(1,3:5)]
g1 = aov$resultsCvAnovaGender1$CVresults[[1]]
g2 = aov$resultsCvAnovaGender2$CVresults[[1]]
}
else if(input$run && input$showResult == "transformBack"){
gender1 = aov$resultsTransformBackGenderLnLme1$CVTable[2,c(1,3:5)]
gender2 = aov$resultsTransformBackGenderLnLme2$CVTable[2,c(1,3:5)]
g1 = aov$resultsTransformBackGenderLnLme1$CVresults[[1]]
g2 = aov$resultsTransformBackGenderLnLme2$CVresults[[1]]
}
genderCVi = rbind.data.frame(gender1,gender2)
genderCVi2 = cbind.data.frame(Gender = c(g1,g2), genderCVi)
colnames(genderCVi2) = c("Gender","Source", "CV%", paste0("Lower Limit (",(1-as.numeric(input$alphaLevel))*100,"%)"), paste0("Upper Limit (",(1-as.numeric(input$alphaLevel))*100,"%)"))
rownames(genderCVg2) =NULL
ci.vals = cbind(genderCVi2[1,4] - genderCVi2[2,5], genderCVi2[1,5]-genderCVi2[2,5],
genderCVi2[1,5]-genderCVi2[2,4])
overlapTest = (ci.vals[,1] > 0 & ci.vals[,2] > 0 & ci.vals[,3] > 0) | (ci.vals[,1] < 0 & ci.vals[,2] < 0 & ci.vals[,3] < 0)
resultCVi = ifelse(overlapTest, "Significant Difference", "No Difference")
##### CVa Analytical
if(input$run && (input$showResult == "original" || input$showResult == "lnTransformed")){
gender1 = aov$resultsOriginalGenderLme1$CVTable[3,c(1,3:5)]
gender2 = aov$resultsOriginalGenderLme2$CVTable[3,c(1,3:5)]
g1 = aov$resultsOriginalGenderLme1$CVresults[[1]]
g2 = aov$resultsOriginalGenderLme2$CVresults[[1]]
}
else if(input$run && (input$showResult == "cv" || input$showResult == "mom" || input$showResult == "lnmom")){
gender1 = aov$resultsCvAnovaGender1$CVTable[3,c(1,3:5)]
gender2 = aov$resultsCvAnovaGender2$CVTable[3,c(1,3:5)]
g1 = aov$resultsCvAnovaGender1$CVresults[[1]]
g2 = aov$resultsCvAnovaGender2$CVresults[[1]]
}
else if(input$run && input$showResult == "transformBack"){
gender1 = aov$resultsTransformBackGenderLnLme1$CVTable[3,c(1,3:5)]
gender2 = aov$resultsTransformBackGenderLnLme2$CVTable[3,c(1,3:5)]
g1 = aov$resultsTransformBackGenderLnLme1$CVresults[[1]]
g2 = aov$resultsTransformBackGenderLnLme2$CVresults[[1]]
}
genderCVa = rbind.data.frame(gender1,gender2)
genderCVa2 = cbind.data.frame(Gender = c(g1,g2), genderCVa)
colnames(genderCVa2) = c("Gender","Source", "CV%", paste0("Lower Limit (",(1-as.numeric(input$alphaLevel))*100,"%)"), paste0("Upper Limit (",(1-as.numeric(input$alphaLevel))*100,"%)"))
rownames(genderCVg2) =NULL
ci.vals = cbind(genderCVa2[1,4] - genderCVa2[2,5], genderCVa2[1,5]-genderCVa2[2,5],
genderCVa2[1,5]-genderCVa2[2,4])
overlapTest = (ci.vals[,1] > 0 & ci.vals[,2] > 0 & ci.vals[,3] > 0) | (ci.vals[,1] < 0 & ci.vals[,2] < 0 & ci.vals[,3] < 0)
resultCVa = ifelse(overlapTest, "Significant Difference", "No Difference")
genderCVg2$Difference = c(resultCVg,NA)
genderCVi2$Difference = c(resultCVi,NA)
genderCVa2$Difference = c(resultCVa,NA)
subsetResult = list(between = genderCVg2, within = genderCVi2, analytical = genderCVa2)
return(subsetResult)
})
output$subsetBetween <- DT::renderDataTable(server = FALSE, {
if(input$run){
DT::datatable(subsetCVResults()[[1]], extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
output$subsetWithin <- DT::renderDataTable(server = FALSE, {
if(input$run){
DT::datatable(subsetCVResults()[[2]], extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
output$subsetAnalytical <- DT::renderDataTable(server = FALSE, {
if(input$run){
DT::datatable(subsetCVResults()[[3]], extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
######### All ##############
output$rcvAll <- DT::renderDataTable(server = FALSE, {
res = analysisOfVarinceResults()
if(input$run && (input$showResult == "original" || input$showResult == "lnTransformed")){
result = DT::datatable(res$resultsAllOriginalLme$rcvResult, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && (input$showResult == "cv" || input$showResult == "mom" || input$showResult == "lnmom")){
result = DT::datatable(res$resultsAllCvAnova$rcvResult, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && input$showResult == "transformBack"){
result = DT::datatable(res$resultsAllTransformBackLnLme$rcvResult, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
output$CVtableAll <- DT::renderDataTable(server = FALSE, {
res = analysisOfVarinceResults()
if(input$run && (input$showResult == "original" || input$showResult == "lnTransformed")){
result = DT::datatable(res$resultsAllOriginalLme$CVTable, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && (input$showResult == "cv" || input$showResult == "mom" || input$showResult == "lnmom")){
result = DT::datatable(res$resultsAllCvAnova$CVTable, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && input$showResult == "transformBack"){
result = DT::datatable(res$resultsAllTransformBackLnLme$CVTable, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
output$CVResultsAll <- DT::renderDataTable(server = FALSE, {
res = analysisOfVarinceResults()
if(input$run && (input$showResult == "original" || input$showResult == "lnTransformed")){
result = DT::datatable(res$resultsAllOriginalLme$CVresults[c(1:4,8,9)], extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && (input$showResult == "cv" || input$showResult == "mom" || input$showResult == "lnmom")){
result = DT::datatable(res$resultsAllCvAnova$CVresults[c(1:4,8,9)], extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && input$showResult == "transformBack"){
result = DT::datatable(res$resultsAllTransformBackLnLme$CVresults[c(1:4,8,9)], extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
output$ErrorTableAll <- DT::renderDataTable(server = FALSE, {
res = analysisOfVarinceResults()
if(input$run && (input$showResult == "original" || input$showResult == "lnTransformed")){
result = DT::datatable(res$resultsAllOriginalLme$errorTable, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && (input$showResult == "cv" || input$showResult == "mom" || input$showResult == "lnmom")){
result = DT::datatable(res$resultsAllCvAnova$errorTable, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && input$showResult == "transformBack"){
result = DT::datatable(res$resultsAllTransformBackLnLme$errorTable, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
############ Gender1 ###########
output$RCVtableGender1 <- DT::renderDataTable(server = FALSE, {
res = analysisOfVarinceResults()
if(input$run && (input$showResult == "original" || input$showResult == "lnTransformed")){
result = DT::datatable(res$resultsOriginalGenderLme1$rcvResult, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && (input$showResult == "cv" || input$showResult == "mom" || input$showResult == "lnmom")){
result = DT::datatable(res$resultsCvAnovaGender1$rcvResult, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && input$showResult == "transformBack"){
result = DT::datatable(res$resultsTransformBackGenderLnLme1$rcvResult, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
output$CVtableGender1 <- DT::renderDataTable(server = FALSE, {
res = analysisOfVarinceResults()
if(input$run && (input$showResult == "original" || input$showResult == "lnTransformed")){
result = DT::datatable(res$resultsOriginalGenderLme1$CVTable, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && (input$showResult == "cv" || input$showResult == "mom" || input$showResult == "lnmom")){
result = DT::datatable(res$resultsCvAnovaGender1$CVTable, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && input$showResult == "transformBack"){
result = DT::datatable(res$resultsTransformBackGenderLnLme1$CVTable, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
output$CVResultsGender1 <- DT::renderDataTable(server = FALSE, {
res = analysisOfVarinceResults()
if(input$run && (input$showResult == "original" || input$showResult == "lnTransformed")){
result = DT::datatable(res$resultsOriginalGenderLme1$CVresults[c(1:4,8,9)], extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && (input$showResult == "cv" || input$showResult == "mom" || input$showResult == "lnmom")){
result = DT::datatable(res$resultsCvAnovaGender1$CVresults[c(1:4,8,9)], extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && input$showResult == "transformBack"){
result = DT::datatable(res$resultsTransformBackGenderLnLme1$CVresults[c(1:4,8,9)], extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
output$ErrorTableGender1 <- DT::renderDataTable(server = FALSE, {
res = analysisOfVarinceResults()
if(input$run && (input$showResult == "original" || input$showResult == "lnTransformed")){
result = DT::datatable(res$resultsOriginalGenderLme1$errorTable, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && (input$showResult == "cv" || input$showResult == "mom" || input$showResult == "lnmom")){
result = DT::datatable(res$resultsCvAnovaGender1$errorTable, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && input$showResult == "transformBack"){
result = DT::datatable(res$resultsTransformBackGenderLnLme1$errorTable, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
############ Gender 2 ###########
output$RCVtableGender2 <- DT::renderDataTable(server = FALSE, {
res = analysisOfVarinceResults()
if(input$run && (input$showResult == "original" || input$showResult == "lnTransformed")){
result = DT::datatable(res$resultsOriginalGenderLme2$rcvResult, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && (input$showResult == "cv" || input$showResult == "mom" || input$showResult == "lnmom")){
result = DT::datatable(res$resultsCvAnovaGender2$rcvResult, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && input$showResult == "transformBack"){
result = DT::datatable(res$resultsTransformBackGenderLnLme2$rcvResult, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
output$CVtableGender2 <- DT::renderDataTable(server = FALSE, {
res = analysisOfVarinceResults()
if(input$run && (input$showResult == "original" || input$showResult == "lnTransformed")){
result = DT::datatable(res$resultsOriginalGenderLme2$CVTable, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && (input$showResult == "cv" || input$showResult == "mom" || input$showResult == "lnmom")){
result = DT::datatable(res$resultsCvAnovaGender2$CVTable, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && input$showResult == "transformBack"){
result = DT::datatable(res$resultsTransformBackGenderLnLme2$CVTable, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
output$CVResultsGender2 <- DT::renderDataTable(server = FALSE, {
result = res = analysisOfVarinceResults()
if(input$run && (input$showResult == "original" || input$showResult == "lnTransformed")){
result = DT::datatable(res$resultsOriginalGenderLme2$CVresults[c(1:4,8,9)], extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && (input$showResult == "cv" || input$showResult == "mom" || input$showResult == "lnmom")){
result = DT::datatable(res$resultsCvAnovaGender2$CVresults[c(1:4,8,9)], extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && input$showResult == "transformBack"){
result = DT::datatable(res$resultsTransformBackGenderLnLme2$CVresults[c(1:4,8,9)], extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
output$ErrorTableGender2 <- DT::renderDataTable(server = FALSE, {
res = analysisOfVarinceResults()
if(input$run && (input$showResult == "original" || input$showResult == "lnTransformed")){
result = DT::datatable(res$resultsOriginalGenderLme2$errorTable, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && (input$showResult == "cv" || input$showResult == "mom" || input$showResult == "lnmom")){
result = DT::datatable(res$resultsCvAnovaGender2$errorTable, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
else if(input$run && input$showResult == "transformBack"){
result = DT::datatable(res$resultsTransformBackGenderLnLme2$errorTable, extensions = c('Buttons','KeyTable', 'Responsive'), options = list( dom = 'Bfrtip',buttons = list('copy', 'print', list(extend = 'collection', buttons = c('csv', 'excel', 'pdf'),text = 'Download')), keys = TRUE))
}
})
################ Titles #################
output$outlierTitle <- renderText({
if (input$run){
"1. Outlier Detection"
}
})