modules/Phenotype/Sections/upload.R
In cdsanchez18/EcoPLOT: EcoPLOT: dynamic and interactive analysis of multivariate biogeochemical datasets
##Plant File upload (phenotype data)
# output$plantfileupload <- renderUI({
# output <- tagList(
# checkboxInput("phenotypeexampledata", "Use Example Data", value = FALSE, width = "100%")
# ,
# fluidRow(
# column(5, hr()),
# column(2,tags$div(tags$h4("OR"), align="center")),
# column(5, hr())
# )
# ,
# h4(tags$u("Upload File:")," EcoPLOT accepts",tags$b(".csv, .txt, .xlsx "),"file formats.")
# ,
# fileInput("phenotypedata", "Select File",
# multiple = FALSE,
# accept = c("text/csv",
# "text/comma-separated-values,text/plain",
# ".csv"))
# ,
# tags$hr(),
# fluidRow(
# column(4,
# checkboxInput("header", "Header", TRUE)),
# column(4,
# radioButtons("sep", "Separator",
# choices = c(Comma = ",",
# Semicolon = ";",
# Tab = "\t"),
# selected = ","))
# ,
# column(4,
# radioButtons("quote", "Quote",
# choices = c(None = "",
# "Double Quote" = '"',
# "Single Quote" = "'"),
# selected = '"')))
# ,
# uiOutput("phenotypemergeUI")
# # conditionalPanel("input.environmentdata || input.environmentexampledata",
# # conditionalPanel("input.phenotypedata || input.phenotypeexampledata",
# # hr()
# # ,
# # tags$h4("Merge Datasets")
# # ,
# # checkboxInput("phenotypemergefiles", "Merge Environment and Phenotype Datasets?", value = FALSE, width = "100%")))
# )
# return(output)
# })
output$phenotypemergeUI <- renderUI({
req(phenotypedata$table1)
req(environmentdata$table1)
output <- tagList(
hr()
,
tags$div(tags$h4("Merge Environment and Phenotype Datasets"), align = "center")
,
actionButton("phenotypemergefiles", "Merge Files", width = "100%")
,
hr()
# ,
# selectInput("environmentmergeColumn", "Select Common Column ID to Join By:",
# choices = c("NULL", as.list(intersect(colnames(environmentdata$table1), colnames(phenotypedata$table1)))),
# selected = "NULL")
)
return(output)
})
#observeEvent(input$phenotypemergefiles, {
# #req(input$phenotypemergefiles)
# #updateCheckboxInput(session = getDefaultReactiveDomain(), "phenotypemergefiles", "Merge Environment and Phenotype Datasets?", value = TRUE)
# updateCheckboxInput(session = getDefaultReactiveDomain(), "environmentmergefiles", "Merge Environment and Phenotype Datasets?", value = TRUE)
# })
# observeEvent(input$environmentmergefiles, {
# #req(input$environmentmergefiles)
# updateCheckboxInput(session = getDefaultReactiveDomain(), "phenotypemergefiles", "Merge Environment and Phenotype Datasets?", value = TRUE)
# #updateCheckboxInput(session = getDefaultReactiveDomain(), "environmentmergefiles", "Merge Environment and Phenotype Datasets?", value = TRUE)
# })
#create reactive values object
phenotypedata <- reactiveValues(path = NULL)
#code to upload file and display error message if an error occurs
observeEvent(input$phenotypedata, {
req(input$phenotypedata)
if(tolower(tools::file_ext(input$phenotypedata$datapath)) == "csv" ||
tolower(tools::file_ext(input$phenotypedata$datapath)) == "txt"){
#if(!is.null(environmentdata$table)){
phenotypedata$table <- read.csv(input$phenotypedata$datapath, sep = input$sep, quote = input$quote, header = input$header)
# if(length(intersect(names(phenotypedata$table), names(environmentdata$table))) >= 1){
# phenotypedata$table <- read.csv(input$phenotypedata$datapath, sep = input$sep, quote = input$quote,
# header = input$header)
# phenotypedata$table <- left_join(phenotypedata$table, environmentdata$table) %>% na.omit()
# phenotypeselections$table[["Row_ID"]] <- rownames(phenotypeselections$table)
# } else {
# phenotypedata$table <- read.csv(input$phenotypedata$datapath, sep = input$sep, quote = input$quote,
# header = input$header)
# #phenotypeselections$table[["Row_ID"]] <- rownames(phenotypeselections$table)
# }
# }else if(is.null(environmentdata$table)){
# phenotypedata$table <- read.csv(input$phenotypedata$datapath, sep = input$sep, quote = input$quote,
# header = input$header)
# #phenotypeselections$table[["Row_ID"]] <- rownames(phenotypeselections$table)
# }
}else if(tolower(tools::file_ext(input$phenotypedata$datapath)) == "xlsx"){
phenotypedata$table <- read_excel(path = input$phenotypedata$datapath)
#phenotypeselections$table[["Row_ID"]] <- rownames(phenotypeselections$table)
} else {
showNotification("File Type Not Recognized. Please Select a Different File.", duration = NULL, type = "error")
}
})
observeEvent(input$phenotypedata, {
if(!is.null(phenotypedata$table))return(NULL)
showNotification("Error in Uploading File. Please make sure format options are correct.")
})
#load up example data when box is checked
observeEvent(input$phenotypeexampledata, {
req(input$phenotypeexampledata)
phenotypedata$table <- read.csv("data/testphenotype.csv") %>% na.omit()
#phenotypeselections$table$Row_ID <- rownames(phenotypeselections$table)
})
observeEvent(input$phenotypedata, {
updateCheckboxInput(session, "phenotypeexampledata", "Use Example Data", value = FALSE)
})
#maintains main file, but creates copy for downstream work
observeEvent(input$phenotypeexampledata, {
if(is.null(phenotypedata$table))return(NULL)
req(phenotypedata$table)
output <- phenotypedata$table
output$Row_ID <- rownames(phenotypedata$table)
phenotypedata$table1 <- output #phenotypedata$table
phenotypedata$filter <- phenotypedata$table1
})
observeEvent(input$phenotypedata, {
req(input$phenotypedata)
req(phenotypedata$table)
if(is.null(phenotypedata$table))return(NULL)
output <- phenotypedata$table
output$Row_ID <- rownames(phenotypedata$table)
phenotypedata$table1 <- output #phenotypedata$table
phenotypedata$filter <- phenotypedata$table1
})
##merge datasets if user chooses to do so
mergedata <- reactiveValues(path = NULL)
observeEvent(input$phenotypemergefiles, {
req(phenotypedata$table1)
req(environmentdata$table1)
req(input$phenotypemergefiles)
#req(input$environmentmergefiles)
if(length(intersect(colnames(phenotypedata$table1), colnames(environmentdata$table1))) >= 1){
mergedata$table <- left_join(phenotypedata$table1 %>% select(-Row_ID), environmentdata$table1 %>% select(-Row_ID))
mergedata$table <- mergedata$table %>% mutate(Row_ID = rownames(mergedata$table))
phenotypedata$table1 <- mergedata$table
phenotypedata$filter <- mergedata$table
environmentdata$table1 <- mergedata$table
environmentdata$filter <- mergedata$table
}else{
showNotification("No common column ID's are shared between the datasets. They will not be merged", type = "warning")
}
#environmentdata$table1 <- mergedata
})
# observeEvent(input$phenotypedata, {
# req(input$phenotypedata)
# if(!is.null(environmentdata$table1) && !is.null(phenotypedata$table1)){
# if(length(intersect(names(environmentdata$table1), names(phenotypedata$table1))) >= 1){
# showNotification("Phenotype and Environmental datasets have been merged.", type = "warning")
# }
# }else if(is.null(environmentdata$table)){
# NULL
# }
# })
# observeEvent(input$phenotypeexampledata, {
# req(environmentdata$table1)
# req(phenotypedata$table1)
# if(!is.null(environmentdata$table1) && !is.null(phenotypedata$table1)){
# if(length(intersect(names(environmentdata$table1), names(phenotypedata$table1))) >= 1){
# showNotification("Phenotype and Environmental datasets have been merged.", type = "warning")
# }
# }else if(is.null(environmentdata$table)){
# NULL
# }
# })
#code to melt dataframe for boxplot (required for plotting)
observe({
if(is.null(phenotypedata$table))return(NULL)
req(phenotypedata$table)
names <- names(dplyr::select_if(phenotypedata$table1, is.numeric))
if(is.null(phenotypedata$filter)){
phenotypedata$melt <- tryCatch(phenotypedata$table1 %>% pivot_longer(cols = all_of(names),
names_to = "Measure",
values_to = "Value"),
error = function(cond){
message("Error")
return(NULL)
},
warning = function(cond){
message("Warning")
return(NULL)
})
}else if(!is.null(phenotypedata$filter)){
if(input$phenotypedatasource == "Original"){
phenotypedata$melt <- tryCatch(phenotypedata$table1 %>% pivot_longer(cols = all_of(names),
names_to = "Measure",
values_to = "Value"),
error = function(cond){
message("Error")
return(NULL)
},
warning = function(cond){
message("Warning")
return(NULL)
})
}else if(input$phenotypedatasource == "Filtered"){
phenotypedata$melt <- tryCatch(phenotypedata$filter %>% pivot_longer(cols = all_of(names),
names_to = "Measure",
values_to = "Value"),
error = function(cond){
message("Error")
return(NULL)
},
warning = function(cond){
message("Warning")
return(NULL)
})
}
}
})
observe({
req(phenotypedata$table)
if(!is.null(phenotypedata$melt))return(NULL)
showNotification("Error Uploading File. Please Review Upload Options.", type = "error")
})
#UI for changing variable class
output$plantvariableclassUI <- renderUI({
req(phenotypedata$table)
if(is.null(phenotypedata$table))return(NULL)
output <- tagList(
selectInput("plantcolnames", "Select Variable to Alter",
choices = c("NULL",
as.list(colnames(phenotypedata$table1))),
selected = "NULL")
,
selectInput("plantclassoptions", "Desired Variable Class",
choices = c("NULL" = "NULL",
"Numeric" = "numeric",
"Factor" = "factor",
"Character" = "character",
"Logical" = "logical",
"Date" = "date",
"Time" = "time",
"Timestamp (Date + Time)" = "timestamp"),
selected = "NULL")
,
conditionalPanel(condition = "input.plantclassoptions == 'date' ||
input.plantclassoptions == 'timestamp'",
radioButtons("phenotypedateformat", "Select Date Format",
choices = c("Year/Month/Day" = "ymd",
"Year/Day/Month" = "ydm",
"Month/Day/Year" = "mdy",
"Month/Year/Day" = "myd",
"Day/Month/Year" = "dmy",
"Day/Year/Month" = "dym")))
,
conditionalPanel(condition = "input.plantclassoptions == 'time' ||
input.plantclassoptions == 'timestamp'",
radioButtons("phenotypetimeformat", "Select Time Format",
choices = c("Hour:Minute:Second" = "%H:%M:%S",
"Hour:Minute" = "%H:%M",
"Minute:Second" = "%M:%S")))
,
actionButton("plantchangeclass", "Change Class", width = "100%")
,
hr()
,
actionButton("plantresetclass", "Reset Class Changes", width = "100%")
)
return(output)
})
#code to change class
observeEvent(input$plantchangeclass,{
if(input$plantclassoptions != "time" && input$plantclassoptions != "date" && input$plantclassoptions != "timestamp"){
phenotypedata$table1 <- eval(parse(text = paste0("phenotypedata$table1 %>% mutate(",
input$plantcolnames,
" = as.",
input$plantclassoptions,
"(",
input$plantcolnames,
"))")))
} else if(input$plantclassoptions == "date"){
phenotypedata$table1[[input$plantcolnames]] <- lubridate::parse_date_time(phenotypedata$table[[input$plantcolnames]],
orders = input$phenotypedateformat,
locale = "en_US.UTF-8")
}else if(input$plantclassoptions == "time"){
phenotypedata$table1[[input$plantcolnames]] <- lubridate::parse_date_time(phenotypedata$table[[input$plantcolnames]],
orders = input$phenotypetimeformat,
locale = "en_US.UTF-8")
}else if(input$plantclassoptions == "timestamp"){
phenotypedata$table1[[input$plantcolnames]] <- lubridate::parse_date_time(x = phenotypedata$table[[input$plantcolnames]],
orders = paste(input$phenotypedateformat, input$phenotypetimeformat),
locale = "en_US.UTF-8")
}
})
#code to reset changes upon "reset"
observeEvent(input$plantresetclass,{
req(phenotypedata$table)
phenotypedata$table1 <- phenotypedata$table
})
#View Table of file to the UI
output$phenotypedatatable <- renderDataTable({
req(phenotypedata$table)
phenotypedata$table1
})
output$plantuploadmain <- renderUI({
#req(phenotypedata$table)
validate(
need(!is.null(phenotypedata$table), "Please Upload a Dataset")
)
output <- tagList(
splitLayout(dataTableOutput("phenotypedatatable"))
)
return(output)
})
#print summary of file to the UI
output$plantdatasummary <- renderPrint({
req(phenotypedata$table)
summary(phenotypedata$table1)
})
#code block for change class UI
output$changeclassUI <- renderUI({
req(phenotypedata$table)
output <- tagList(
tags$div(id = "class-change",
fluidRow(
column(2,
hr()),
column(8,
wellPanel(
tags$h4(
"Variable classes affect how variables can be used in plots or statistical analyses. EcoPLOT recognizes quantitative variables as", tags$b("Factors"), "or as", tags$b("Characters"),
"and continuous variables as", tags$b("Numeric"), "or as", tags$b("Integers"),".", tags$b("Time, Date, and Timestamp"),
"classes require additional formatting options.", align = "center"),
tags$h4("If EcoPLOT recognizes a variable incorrectly, you may alter it here.", align = "center")
)),
column(2,
hr())
)
,
fluidRow(
column(4,
wellPanel(
uiOutput("plantvariableclassUI"))),
column(8,
wellPanel(
verbatimTextOutput("plantdatasummary"))))
)
)
return(output)
})
cdsanchez18/EcoPLOT documentation built on Feb. 21, 2022, 2:08 p.m.
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##Plant File upload (phenotype data)
# output$plantfileupload <- renderUI({
# output <- tagList(
# checkboxInput("phenotypeexampledata", "Use Example Data", value = FALSE, width = "100%")
# ,
# fluidRow(
# column(5, hr()),
# column(2,tags$div(tags$h4("OR"), align="center")),
# column(5, hr())
# )
# ,
# h4(tags$u("Upload File:")," EcoPLOT accepts",tags$b(".csv, .txt, .xlsx "),"file formats.")
# ,
# fileInput("phenotypedata", "Select File",
# multiple = FALSE,
# accept = c("text/csv",
# "text/comma-separated-values,text/plain",
# ".csv"))
# ,
# tags$hr(),
# fluidRow(
# column(4,
# checkboxInput("header", "Header", TRUE)),
# column(4,
# radioButtons("sep", "Separator",
# choices = c(Comma = ",",
# Semicolon = ";",
# Tab = "\t"),
# selected = ","))
# ,
# column(4,
# radioButtons("quote", "Quote",
# choices = c(None = "",
# "Double Quote" = '"',
# "Single Quote" = "'"),
# selected = '"')))
# ,
# uiOutput("phenotypemergeUI")
# # conditionalPanel("input.environmentdata || input.environmentexampledata",
# # conditionalPanel("input.phenotypedata || input.phenotypeexampledata",
# # hr()
# # ,
# # tags$h4("Merge Datasets")
# # ,
# # checkboxInput("phenotypemergefiles", "Merge Environment and Phenotype Datasets?", value = FALSE, width = "100%")))
# )
# return(output)
# })
output$phenotypemergeUI <- renderUI({
req(phenotypedata$table1)
req(environmentdata$table1)
output <- tagList(
hr()
,
tags$div(tags$h4("Merge Environment and Phenotype Datasets"), align = "center")
,
actionButton("phenotypemergefiles", "Merge Files", width = "100%")
,
hr()
# ,
# selectInput("environmentmergeColumn", "Select Common Column ID to Join By:",
# choices = c("NULL", as.list(intersect(colnames(environmentdata$table1), colnames(phenotypedata$table1)))),
# selected = "NULL")
)
return(output)
})
#observeEvent(input$phenotypemergefiles, {
# #req(input$phenotypemergefiles)
# #updateCheckboxInput(session = getDefaultReactiveDomain(), "phenotypemergefiles", "Merge Environment and Phenotype Datasets?", value = TRUE)
# updateCheckboxInput(session = getDefaultReactiveDomain(), "environmentmergefiles", "Merge Environment and Phenotype Datasets?", value = TRUE)
# })
# observeEvent(input$environmentmergefiles, {
# #req(input$environmentmergefiles)
# updateCheckboxInput(session = getDefaultReactiveDomain(), "phenotypemergefiles", "Merge Environment and Phenotype Datasets?", value = TRUE)
# #updateCheckboxInput(session = getDefaultReactiveDomain(), "environmentmergefiles", "Merge Environment and Phenotype Datasets?", value = TRUE)
# })
#create reactive values object
phenotypedata <- reactiveValues(path = NULL)
#code to upload file and display error message if an error occurs
observeEvent(input$phenotypedata, {
req(input$phenotypedata)
if(tolower(tools::file_ext(input$phenotypedata$datapath)) == "csv" ||
tolower(tools::file_ext(input$phenotypedata$datapath)) == "txt"){
#if(!is.null(environmentdata$table)){
phenotypedata$table <- read.csv(input$phenotypedata$datapath, sep = input$sep, quote = input$quote, header = input$header)
# if(length(intersect(names(phenotypedata$table), names(environmentdata$table))) >= 1){
# phenotypedata$table <- read.csv(input$phenotypedata$datapath, sep = input$sep, quote = input$quote,
# header = input$header)
# phenotypedata$table <- left_join(phenotypedata$table, environmentdata$table) %>% na.omit()
# phenotypeselections$table[["Row_ID"]] <- rownames(phenotypeselections$table)
# } else {
# phenotypedata$table <- read.csv(input$phenotypedata$datapath, sep = input$sep, quote = input$quote,
# header = input$header)
# #phenotypeselections$table[["Row_ID"]] <- rownames(phenotypeselections$table)
# }
# }else if(is.null(environmentdata$table)){
# phenotypedata$table <- read.csv(input$phenotypedata$datapath, sep = input$sep, quote = input$quote,
# header = input$header)
# #phenotypeselections$table[["Row_ID"]] <- rownames(phenotypeselections$table)
# }
}else if(tolower(tools::file_ext(input$phenotypedata$datapath)) == "xlsx"){
phenotypedata$table <- read_excel(path = input$phenotypedata$datapath)
#phenotypeselections$table[["Row_ID"]] <- rownames(phenotypeselections$table)
} else {
showNotification("File Type Not Recognized. Please Select a Different File.", duration = NULL, type = "error")
}
})
observeEvent(input$phenotypedata, {
if(!is.null(phenotypedata$table))return(NULL)
showNotification("Error in Uploading File. Please make sure format options are correct.")
})
#load up example data when box is checked
observeEvent(input$phenotypeexampledata, {
req(input$phenotypeexampledata)
phenotypedata$table <- read.csv("data/testphenotype.csv") %>% na.omit()
#phenotypeselections$table$Row_ID <- rownames(phenotypeselections$table)
})
observeEvent(input$phenotypedata, {
updateCheckboxInput(session, "phenotypeexampledata", "Use Example Data", value = FALSE)
})
#maintains main file, but creates copy for downstream work
observeEvent(input$phenotypeexampledata, {
if(is.null(phenotypedata$table))return(NULL)
req(phenotypedata$table)
output <- phenotypedata$table
output$Row_ID <- rownames(phenotypedata$table)
phenotypedata$table1 <- output #phenotypedata$table
phenotypedata$filter <- phenotypedata$table1
})
observeEvent(input$phenotypedata, {
req(input$phenotypedata)
req(phenotypedata$table)
if(is.null(phenotypedata$table))return(NULL)
output <- phenotypedata$table
output$Row_ID <- rownames(phenotypedata$table)
phenotypedata$table1 <- output #phenotypedata$table
phenotypedata$filter <- phenotypedata$table1
})
##merge datasets if user chooses to do so
mergedata <- reactiveValues(path = NULL)
observeEvent(input$phenotypemergefiles, {
req(phenotypedata$table1)
req(environmentdata$table1)
req(input$phenotypemergefiles)
#req(input$environmentmergefiles)
if(length(intersect(colnames(phenotypedata$table1), colnames(environmentdata$table1))) >= 1){
mergedata$table <- left_join(phenotypedata$table1 %>% select(-Row_ID), environmentdata$table1 %>% select(-Row_ID))
mergedata$table <- mergedata$table %>% mutate(Row_ID = rownames(mergedata$table))
phenotypedata$table1 <- mergedata$table
phenotypedata$filter <- mergedata$table
environmentdata$table1 <- mergedata$table
environmentdata$filter <- mergedata$table
}else{
showNotification("No common column ID's are shared between the datasets. They will not be merged", type = "warning")
}
#environmentdata$table1 <- mergedata
})
# observeEvent(input$phenotypedata, {
# req(input$phenotypedata)
# if(!is.null(environmentdata$table1) && !is.null(phenotypedata$table1)){
# if(length(intersect(names(environmentdata$table1), names(phenotypedata$table1))) >= 1){
# showNotification("Phenotype and Environmental datasets have been merged.", type = "warning")
# }
# }else if(is.null(environmentdata$table)){
# NULL
# }
# })
# observeEvent(input$phenotypeexampledata, {
# req(environmentdata$table1)
# req(phenotypedata$table1)
# if(!is.null(environmentdata$table1) && !is.null(phenotypedata$table1)){
# if(length(intersect(names(environmentdata$table1), names(phenotypedata$table1))) >= 1){
# showNotification("Phenotype and Environmental datasets have been merged.", type = "warning")
# }
# }else if(is.null(environmentdata$table)){
# NULL
# }
# })
#code to melt dataframe for boxplot (required for plotting)
observe({
if(is.null(phenotypedata$table))return(NULL)
req(phenotypedata$table)
names <- names(dplyr::select_if(phenotypedata$table1, is.numeric))
if(is.null(phenotypedata$filter)){
phenotypedata$melt <- tryCatch(phenotypedata$table1 %>% pivot_longer(cols = all_of(names),
names_to = "Measure",
values_to = "Value"),
error = function(cond){
message("Error")
return(NULL)
},
warning = function(cond){
message("Warning")
return(NULL)
})
}else if(!is.null(phenotypedata$filter)){
if(input$phenotypedatasource == "Original"){
phenotypedata$melt <- tryCatch(phenotypedata$table1 %>% pivot_longer(cols = all_of(names),
names_to = "Measure",
values_to = "Value"),
error = function(cond){
message("Error")
return(NULL)
},
warning = function(cond){
message("Warning")
return(NULL)
})
}else if(input$phenotypedatasource == "Filtered"){
phenotypedata$melt <- tryCatch(phenotypedata$filter %>% pivot_longer(cols = all_of(names),
names_to = "Measure",
values_to = "Value"),
error = function(cond){
message("Error")
return(NULL)
},
warning = function(cond){
message("Warning")
return(NULL)
})
}
}
})
observe({
req(phenotypedata$table)
if(!is.null(phenotypedata$melt))return(NULL)
showNotification("Error Uploading File. Please Review Upload Options.", type = "error")
})
#UI for changing variable class
output$plantvariableclassUI <- renderUI({
req(phenotypedata$table)
if(is.null(phenotypedata$table))return(NULL)
output <- tagList(
selectInput("plantcolnames", "Select Variable to Alter",
choices = c("NULL",
as.list(colnames(phenotypedata$table1))),
selected = "NULL")
,
selectInput("plantclassoptions", "Desired Variable Class",
choices = c("NULL" = "NULL",
"Numeric" = "numeric",
"Factor" = "factor",
"Character" = "character",
"Logical" = "logical",
"Date" = "date",
"Time" = "time",
"Timestamp (Date + Time)" = "timestamp"),
selected = "NULL")
,
conditionalPanel(condition = "input.plantclassoptions == 'date' ||
input.plantclassoptions == 'timestamp'",
radioButtons("phenotypedateformat", "Select Date Format",
choices = c("Year/Month/Day" = "ymd",
"Year/Day/Month" = "ydm",
"Month/Day/Year" = "mdy",
"Month/Year/Day" = "myd",
"Day/Month/Year" = "dmy",
"Day/Year/Month" = "dym")))
,
conditionalPanel(condition = "input.plantclassoptions == 'time' ||
input.plantclassoptions == 'timestamp'",
radioButtons("phenotypetimeformat", "Select Time Format",
choices = c("Hour:Minute:Second" = "%H:%M:%S",
"Hour:Minute" = "%H:%M",
"Minute:Second" = "%M:%S")))
,
actionButton("plantchangeclass", "Change Class", width = "100%")
,
hr()
,
actionButton("plantresetclass", "Reset Class Changes", width = "100%")
)
return(output)
})
#code to change class
observeEvent(input$plantchangeclass,{
if(input$plantclassoptions != "time" && input$plantclassoptions != "date" && input$plantclassoptions != "timestamp"){
phenotypedata$table1 <- eval(parse(text = paste0("phenotypedata$table1 %>% mutate(",
input$plantcolnames,
" = as.",
input$plantclassoptions,
"(",
input$plantcolnames,
"))")))
} else if(input$plantclassoptions == "date"){
phenotypedata$table1[[input$plantcolnames]] <- lubridate::parse_date_time(phenotypedata$table[[input$plantcolnames]],
orders = input$phenotypedateformat,
locale = "en_US.UTF-8")
}else if(input$plantclassoptions == "time"){
phenotypedata$table1[[input$plantcolnames]] <- lubridate::parse_date_time(phenotypedata$table[[input$plantcolnames]],
orders = input$phenotypetimeformat,
locale = "en_US.UTF-8")
}else if(input$plantclassoptions == "timestamp"){
phenotypedata$table1[[input$plantcolnames]] <- lubridate::parse_date_time(x = phenotypedata$table[[input$plantcolnames]],
orders = paste(input$phenotypedateformat, input$phenotypetimeformat),
locale = "en_US.UTF-8")
}
})
#code to reset changes upon "reset"
observeEvent(input$plantresetclass,{
req(phenotypedata$table)
phenotypedata$table1 <- phenotypedata$table
})
#View Table of file to the UI
output$phenotypedatatable <- renderDataTable({
req(phenotypedata$table)
phenotypedata$table1
})
output$plantuploadmain <- renderUI({
#req(phenotypedata$table)
validate(
need(!is.null(phenotypedata$table), "Please Upload a Dataset")
)
output <- tagList(
splitLayout(dataTableOutput("phenotypedatatable"))
)
return(output)
})
#print summary of file to the UI
output$plantdatasummary <- renderPrint({
req(phenotypedata$table)
summary(phenotypedata$table1)
})
#code block for change class UI
output$changeclassUI <- renderUI({
req(phenotypedata$table)
output <- tagList(
tags$div(id = "class-change",
fluidRow(
column(2,
hr()),
column(8,
wellPanel(
tags$h4(
"Variable classes affect how variables can be used in plots or statistical analyses. EcoPLOT recognizes quantitative variables as", tags$b("Factors"), "or as", tags$b("Characters"),
"and continuous variables as", tags$b("Numeric"), "or as", tags$b("Integers"),".", tags$b("Time, Date, and Timestamp"),
"classes require additional formatting options.", align = "center"),
tags$h4("If EcoPLOT recognizes a variable incorrectly, you may alter it here.", align = "center")
)),
column(2,
hr())
)
,
fluidRow(
column(4,
wellPanel(
uiOutput("plantvariableclassUI"))),
column(8,
wellPanel(
verbatimTextOutput("plantdatasummary"))))
)
)
return(output)
})
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