Nothing
inst/ca_shiny.R
In visae: Visualization of Adverse Events
appDir <- getwd()
data <- getShinyOption("data")
#https://stackoverflow.com/questions/44319664/r-shiny-condition-a-tab-in-the-navbar-based-on-previous-tabs-condition
jscode <- "
shinyjs.disabletabD =function(name){
$('ul li:has(a[data-value= \"Domain\"])').addClass('disabled');
$('ul li:has(a[data-value= \"DomainGrade\"])').addClass('disabled');
}
shinyjs.enabletabD = function(name){
$('ul li:has(a[data-value= \"Domain\"])').removeClass('disabled');
$('ul li:has(a[data-value= \"DomainGrade\"])').removeClass('disabled');
}
shinyjs.disabletabT =function(name){
$('ul li:has(a[data-value= \"TermGrade\"])').addClass('disabled');
$('ul li:has(a[data-value= \"Term\"])').addClass('disabled');
}
shinyjs.enabletabT = function(name){
$('ul li:has(a[data-value= \"TermGrade\"])').removeClass('disabled');
$('ul li:has(a[data-value= \"Term\"])').removeClass('disabled');
}
"
ui = function(data){
if("ae_cycle" %in% colnames(data)){
cycle_options <- levels(as.factor(data$ae_cycle))
} else {
cycle_options <- NULL
}
if("ae_grade" %in% colnames(data)){
grade_options <- levels(as.factor(data$ae_grade))
} else {
grade_options <- NULL
}
if("ae_domain" %in% colnames(data)){
domain_options <- levels(as.factor(data$ae_domain))
} else {
domain_options <- NULL
}
if("ae_domain" %in% colnames(data) & "ae_grade" %in% colnames(data)){
domain_grade_options <- levels(as.factor(paste0(data$ae_domain, ":", data$ae_grade)))
} else {
domain_grade_options <- NULL
}
if("ae_term" %in% colnames(data)){
term_options <- levels(as.factor(data$ae_term))
} else {
term_options <- NULL
}
if("ae_term" %in% colnames(data) & "ae_grade" %in% colnames(data)){
term_grade_options <- levels(as.factor(paste0(data$ae_term, ":", data$ae_grade)))
} else {
term_grade_options <- NULL
}
fluidPage(
navbarPage("AE Report",
tabPanel("Grade",
value = "Grade",
sidebarLayout(
sidebarPanel(h4("Plot"),
numericInput(
inputId = 'contr_threshold_grade',
label = h6('Contribution Threshold'),
min = 0,
max = 100,
step = round(100/length(grade_options), 2),
value = round(100/length(grade_options), 2)
),
numericInput(
inputId = 'mass_threshold_grade',
label = h6('Mass Threshold'),
min = 0,
max = 100,
step = round(100/length(grade_options), 2),
value = round(100/length(grade_options), 2)
),
checkboxInput(
inputId = 'contr_grade',
label = h6('Contribution Color Intensity'),
value = TRUE
),
checkboxInput(
inputId = 'mass_grade',
label = h6('Mass Dot Size'),
value = TRUE
),
downloadButton('downloadplot_grade', 'Download Asymmetric Plot'),
downloadButton('downloadfreq_grade', 'Download Frequency Table'),
h4("Trial"),
selectInput(
inputId = 'selected_cycle_grade',
label = h6('Selected Cycles'),
multiple = TRUE,
selectize = TRUE,
choices = cycle_options,
selected = cycle_options
)
),
mainPanel(
tabsetPanel(
tabPanel("Asymmetric Plot", plotOutput("ae_grade_biplot",
height = "600px",
width = "600px")),
tabPanel("Frequency Table", DT::dataTableOutput("ae_grade_table")),
tabPanel("Contribution Table", DT::dataTableOutput("ae_grade_contr_table"))
)
)
)
),
tabPanel("Domain",
value = "Domain",
sidebarLayout(
sidebarPanel(h4("Plot"),
numericInput(
inputId = 'contr_threshold_domain',
label = h6('Contribution Threshold'),
min = 0,
max = 100,
step = round(100/length(domain_options), 2),
value = round(100/length(domain_options), 2)
),
numericInput(
inputId = 'mass_threshold_domain',
label = h6('Mass Threshold'),
min = 0,
max = 100,
step = round(100/length(domain_options), 2),
value = round(100/length(domain_options), 2)
),
checkboxInput(
inputId = 'contr_domain',
label = h6('Contribution Color Intensity'),
value = TRUE
),
checkboxInput(
inputId = 'mass_domain',
label = h6('Mass Dot Size'),
value = TRUE
),
downloadButton('downloadplot_domain', 'Download Asymmetric Plot'),
downloadButton('downloadfreq_domain', 'Download Frequency Table'),
h4("Trial"),
selectInput(
inputId = 'selected_cycle_domain',
label = h6('Selected Cycles'),
multiple = TRUE,
selectize = TRUE,
choices = cycle_options,
selected = cycle_options
),
selectInput(
inputId = 'selected_grade_domain',
label = h6('Selected Grades'),
multiple = TRUE,
selectize = TRUE,
choices = grade_options,
selected = grade_options
)
),
mainPanel(
tabsetPanel(tabPanel("Asymmetric Plot", plotOutput("ae_domain_biplot",
height = "600px",
width = "600px")),
tabPanel("Frequency Table", DT::dataTableOutput("ae_domain_table")),
tabPanel("Contribution Table", DT::dataTableOutput("ae_domain_contr_table"))
)
)
)
),
tabPanel("Domain and Grade",
value = "DomainGrade",
sidebarLayout(
sidebarPanel(h4("Plot"),
numericInput(
inputId = 'contr_threshold_domain_grade',
label = h6('Contribution Threshold'),
min = 0,
max = 100,
step = round(100/length(domain_grade_options), 2),
value = round(100/length(domain_grade_options), 2)
),
numericInput(
inputId = 'mass_threshold_domain_grade',
label = h6('Mass Threshold'),
min = 0,
max = 100,
step = round(100/length(domain_grade_options), 2),
value = round(100/length(domain_grade_options), 2)
),
checkboxInput(
inputId = 'contr_domain_grade',
label = h6('Contribution Color Intensity'),
value = TRUE
),
checkboxInput(
inputId = 'mass_domain_grade',
label = h6('Mass Dot Size'),
value = TRUE
),
downloadButton('downloadplot_domain_grade', 'Download Asymmetric Plot'),
downloadButton('downloadfreq_domain_grade', 'Download Frequency Table'),
h4("Trial"),
selectInput(
inputId = 'selected_cycle_domain_grade',
label = h6('Selected Cycles'),
multiple = TRUE,
selectize = TRUE,
choices = cycle_options,
selected = cycle_options
)
),
mainPanel(tabsetPanel(
tabPanel("Asymmetric Plot", plotOutput("ae_domain_grade_biplot",
height = "600px",
width = "600px")),
tabPanel("Frequency Table", DT::dataTableOutput("ae_domain_grade_table")),
tabPanel("Contribution Table", DT::dataTableOutput("ae_domain_grade_contr_table"))
)
)
)
),
tabPanel("Term",
value = "Term",
sidebarLayout(
sidebarPanel(h4("Plot"),
numericInput(
inputId = 'contr_threshold_term',
label = h6('Contribution Threshold'),
min = 0,
max = 100,
step = round(100/length(term_options), 2),
value = round(100/length(term_options), 2)
),
numericInput(
inputId = 'mass_threshold_term',
label = h6('Mass Threshold'),
min = 0,
max = 100,
step = round(100/length(term_options), 2),
value = round(100/length(term_options), 2)
),
checkboxInput(
inputId = 'contr_term',
label = h6('Contribution Color Intensity'),
value = TRUE
),
checkboxInput(
inputId = 'mass_term',
label = h6('Mass Dot Size'),
value = TRUE
),
downloadButton('downloadplot_term', 'Download Asymmetric Plot'),
downloadButton('downloadfreq_term', 'Download Frequency Table'),
h4("Trial"),
selectInput(
inputId = 'selected_cycle_term',
label = h6('Selected Cycles'),
multiple = TRUE,
selectize = TRUE,
choices = cycle_options,
selected = cycle_options
),
selectInput(
inputId = 'selected_domain_term',
label = h6('Selected Domains'),
multiple = TRUE,
selectize = TRUE,
choices = domain_options,
selected = domain_options
),
selectInput(
inputId = 'selected_grade_term',
label = h6('Selected Grades'),
multiple = TRUE,
selectize = TRUE,
choices = grade_options,
selected = grade_options
)
),
mainPanel(tabsetPanel(
tabPanel("Asymmetric Plot", plotOutput("ae_term_biplot",
height = "600px",
width = "600px")),
tabPanel("Frequency Table", DT::dataTableOutput("ae_term_table")),
tabPanel("Contribution Table", DT::dataTableOutput("ae_term_contr_table"))
)
)
)
),
tabPanel("Term and Grade",
value = "TermGrade",
sidebarLayout(
sidebarPanel(h4("Plot"),
numericInput(
inputId = 'contr_threshold_term_grade',
label = h6('Contribution Threshold'),
min = 0,
max = 100,
step = round(100/length(term_grade_options), 2),
value = round(100/length(term_grade_options), 2)
),
numericInput(
inputId = 'mass_threshold_term_grade',
label = h6('Mass Threshold'),
min = 0,
max = 100,
step = round(100/length(term_grade_options), 2),
value = round(100/length(term_grade_options), 2)
),
checkboxInput(
inputId = 'contr_term_grade',
label = h6('Contribution Color Intensity'),
value = TRUE
),
checkboxInput(
inputId = 'mass_term_grade',
label = h6('Mass Dot Size'),
value = TRUE
),
downloadButton('downloadplot_term_grade', 'Download Asymmetric Plot'),
downloadButton('downloadfreq_term_grade', 'Download Frequency Table'),
h4("Trial"),
selectInput(
inputId = 'selected_cycle_term_grade',
label = h6('Selected Cycles'),
multiple = TRUE,
selectize = TRUE,
choices = cycle_options,
selected = cycle_options
),
selectInput(
inputId = 'selected_domain_term_grade',
label = h6('Selected Domains'),
multiple = TRUE,
selectize = TRUE,
choices = domain_options,
selected = domain_options
)
),
mainPanel(tabsetPanel(
tabPanel("Asymmetric Plot", plotOutput("ae_term_grade_biplot",
height = "600px",
width = "600px")),
tabPanel("Frequency Table", DT::dataTableOutput("ae_term_grade_table")),
tabPanel("Contribution Table", DT::dataTableOutput("ae_term_grade_contr_table"))
)
)
)
),
tabPanel("About",
mainPanel(tabsetPanel(
tabPanel("Authors",
column(width = 8, offset = 1,
p(h4("Contact")),
p("Marcio Augusto Diniz", "<marcio.diniz@cshs.org>"),
p("Michael Luu", "<michael.luu@cshs.org>"),
p("Gillian Gresham", "<gillian.gresham@cshs.org>"),
p("Andre Rogatko", "<andre.rogatko@cshs.org>"),
p(strong("Cedars Sinai Medical Center")),
p(strong("Samuel Oschin Comprehensive Cancer Institute,
Biostatistics Core"))
),
column(width = 8, offset = 1,
p(h4("Funding")),
p(a("Moonshot Initiative",
href="https://www.cancer.gov/research/key-initiatives/moonshot-cancer-initiative"),
" - Grant Number: 1U01CA232859-01")
)
)
)
)
),
shinyjs::useShinyjs(),
shinyjs::extendShinyjs(text = jscode,
functions = c("disabletabD",
"enabletabD",
"disabletabT",
"enabletabT"))
)
)
}
server = function(input, output, session) {
shiny_grade <- function(data, selected_cycle,
contr_indicator, mass_indicator,
contr_threshold, mass_threshold){
if ("ae_cycle" %in% colnames(data))
data <- data %>% filter(.data$ae_cycle %in% selected_cycle)
out <- visae::ca_ae(data, id = .data$id,
group = .data$group,
ae_class = .data$ae_grade,
label = "Grade",
contr_indicator = contr_indicator,
mass_indicator = mass_indicator,
contr_threshold = contr_threshold,
mass_threshold = mass_threshold)
return(out)
}
shiny_domain <- function(data, selected_cycle, selected_grade,
contr_indicator, mass_indicator,
contr_threshold, mass_threshold){
if ("ae_cycle" %in% colnames(data))
data <- data %>% filter(.data$ae_cycle %in% selected_cycle)
if ("ae_grade" %in% colnames(data))
data <- data %>% filter(.data$ae_grade %in% c(selected_grade, NA))
out <- visae::ca_ae(data, id = .data$id,
group = .data$group,
ae_class = .data$ae_domain,
label = "Domain",
contr_indicator = contr_indicator,
mass_indicator = mass_indicator,
contr_threshold = contr_threshold,
mass_threshold = mass_threshold)
return(out)
}
shiny_domain_grade <- function(data, selected_cycle,
contr_indicator, mass_indicator,
contr_threshold, mass_threshold){
if ("ae_cycle" %in% colnames(data))
data <- data %>% filter(.data$ae_cycle %in% selected_cycle)
data <- data %>%
mutate(ae_domain_grade = ifelse(!is.na(.data$ae_domain) &
!is.na(.data$ae_grade),
paste0(.data$ae_domain, ": ", .data$ae_grade),
NA))
out <- visae::ca_ae(data, id = .data$id,
group = .data$group,
ae_class = .data$ae_domain_grade,
label = "Domain:Grade",
contr_indicator = contr_indicator,
mass_indicator = mass_indicator,
contr_threshold = contr_threshold,
mass_threshold = mass_threshold)
return(out)
}
shiny_term <- function(data, selected_cycle, selected_domain, selected_grade,
contr_indicator, mass_indicator,
contr_threshold, mass_threshold){
if ("ae_cycle" %in% colnames(data))
data <- data %>% filter(.data$ae_cycle %in% selected_cycle)
if ("ae_domain" %in% colnames(data))
data <- data %>% filter(.data$ae_domain %in% c(selected_domain, NA))
if ("ae_grade" %in% colnames(data))
data <- data %>% filter(.data$ae_grade %in% c(selected_grade, NA))
out <- visae::ca_ae(data, id = .data$id,
group = .data$group,
ae_class = .data$ae_term,
label = "Term",
contr_indicator = contr_indicator,
mass_indicator = mass_indicator,
contr_threshold = contr_threshold,
mass_threshold = mass_threshold)
return(out)
}
shiny_term_grade <- function(data, selected_cycle, selected_domain,
contr_indicator, mass_indicator,
contr_threshold, mass_threshold){
if ("ae_cycle" %in% colnames(data))
data <- data %>% filter(.data$ae_cycle %in% selected_cycle)
if ("ae_domain" %in% colnames(data))
data <- data %>% filter(.data$ae_domain %in% c(selected_domain, NA))
data <- data %>%
mutate(ae_term_grade = ifelse(!is.na(.data$ae_term) &
!is.na(.data$ae_grade),
paste0(.data$ae_term, ": ", .data$ae_grade),
NA))
out <- visae::ca_ae(data, id = .data$id,
group = .data$group,
ae_class = .data$ae_term_grade,
label = "Term:Grade",
contr_indicator = contr_indicator,
mass_indicator = mass_indicator,
contr_threshold = contr_threshold,
mass_threshold = mass_threshold)
return(out)
}
if('ae_grade' %in% colnames(data)){
tabInput_grade <- reactive({
tab <- shiny_grade(data,
selected_cycle = input$selected_cycle_grade,
contr_indicator = input$contr_grade,
mass_indicator = input$mass_grade,
contr_threshold = input$contr_threshold_grade/100,
mass_threshold = input$mass_threshold_grade/100)$tab_rel
})
output$ae_grade_table <- DT::renderDT({tabInput_grade()}, escape = FALSE)
plotInput_grade <- reactive({
gp <- shiny_grade(data,
selected_cycle = input$selected_cycle_grade,
contr_indicator = input$contr_grade,
mass_indicator = input$mass_grade,
contr_threshold = input$contr_threshold_grade/100,
mass_threshold = input$mass_threshold_grade/100)$asymmetric_plot
})
output$ae_grade_biplot <- renderPlot({print(plotInput_grade())})
output$ae_grade_contr_table <- DT::renderDataTable(
shiny_grade(data,
selected_cycle = input$selected_cycle_grade,
contr_indicator = input$contr_grade,
mass_indicator = input$mass_grade,
contr_threshold = input$contr_threshold_grade/100,
mass_threshold = input$mass_threshold_grade/100)$tab_contr
)
output$downloadplot_grade <- downloadHandler(
filename = function() { paste('ca_grade.pdf', sep='') },
content = function(file) {
ggsave(file, plot = plotInput_grade(), device = "pdf",
height = 7, width = 7)
}
)
output$downloadfreq_grade <- downloadHandler(
filename = function() { paste('ca_grade.csv', sep='') },
content = function(file) {
write.csv(x = tabInput_grade(), file = file)
}
)
}
if('ae_domain' %in% colnames(data)){
shinyjs::js$enabletabD("Domain")
tabInput_domain <- reactive({
tab <- shiny_domain(data,
selected_cycle = input$selected_cycle_domain,
selected_grade = input$selected_grade_domain,
contr_indicator = input$contr_domain,
mass_indicator = input$mass_domain,
contr_threshold = input$contr_threshold_domain/100,
mass_threshold = input$mass_threshold_domain/100)$tab_rel
})
output$ae_domain_table <- DT::renderDT({tabInput_domain()}, escape = FALSE)
plotInput_domain <- reactive({
gp <- shiny_domain(data,
selected_cycle = input$selected_cycle_domain,
selected_grade = input$selected_grade_domain,
contr_indicator = input$contr_domain,
mass_indicator = input$mass_domain,
contr_threshold = input$contr_threshold_domain/100,
mass_threshold = input$mass_threshold_domain/100)$asymmetric_plot
})
output$ae_domain_biplot <- renderPlot({print(plotInput_domain())})
output$ae_domain_contr_table <- DT::renderDataTable(
shiny_domain(data,
selected_cycle = input$selected_cycle_domain,
selected_grade = input$selected_grade_domain,
contr_indicator = input$contr_domain,
mass_indicator = input$mass_domain,
contr_threshold = input$contr_threshold_domain/100,
mass_threshold = input$mass_threshold_domain/100)$tab_contr
)
output$downloadplot_domain <- downloadHandler(
filename = function() { paste('ca_domain.pdf', sep='') },
content = function(file) {
ggsave(file, plot = plotInput_domain(), device = "pdf",
height = 7, width = 7)
}
)
output$downloadfreq_domain <- downloadHandler(
filename = function() { paste('ca_domain.csv', sep='') },
content = function(file) {
write.csv(tabInput_domain(), file = file)
}
)
} else {
shinyjs::js$disabletabD("Domain")
}
if('ae_domain' %in% colnames(data) & 'ae_grade' %in% colnames(data)){
shinyjs::js$enabletabD("DomainGrade")
tabInput_domain_grade <- reactive({
tab <- shiny_domain_grade(data,
selected_cycle = input$selected_cycle_domain_grade,
contr_indicator = input$contr_domain_grade,
mass_indicator = input$mass_domain_grade,
contr_threshold = input$contr_threshold_domain_grade/100,
mass_threshold = input$mass_threshold_domain_grade/100)$tab_rel
})
output$ae_domain_grade_table <- DT::renderDT({tabInput_domain_grade()}, escape = FALSE)
plotInput_domain_grade <- reactive({
gp <- shiny_domain_grade(data,
selected_cycle =
input$selected_cycle_domain_grade,
contr_indicator = input$contr_domain_grade,
mass_indicator = input$mass_domain_grade,
contr_threshold = input$contr_threshold_domain_grade/100,
mass_threshold = input$mass_threshold_domain_grade/100)$asymmetric_plot
})
output$ae_domain_grade_biplot <- renderPlot({print(plotInput_domain_grade())})
output$ae_domain_grade_contr_table <- DT::renderDataTable(
shiny_domain_grade(data,
selected_cycle =
input$selected_cycle_domain_grade,
contr_indicator = input$contr_domain_grade,
mass_indicator = input$mass_domain_grade,
contr_threshold = input$contr_threshold_domain_grade/100,
mass_threshold = input$mass_threshold_domain_grade/100)$tab_contr
)
output$downloadplot_domain_grade <- downloadHandler(
filename = function() { paste('ca_domain_grade.pdf', sep='') },
content = function(file) {
ggsave(file, plot = plotInput_domain_grade(), device = "pdf",
height = 7, width = 7)
}
)
output$downloadfreq_domain_grade <- downloadHandler(
filename = function() { paste('ca_domain_grade.csv', sep='') },
content = function(file) {
write.csv(tabInput_domain_grade(), file = file)
}
)
} else {
shinyjs::js$disabletabD("DomainGrade")
}
if('ae_term' %in% colnames(data)){#If true enable, else disable
shinyjs::js$enabletabT("Term")
tabInput_term <- reactive({
tab <- shiny_term(data,
selected_cycle = input$selected_cycle_term,
selected_domain = input$selected_domain_term,
selected_grade = input$selected_grade_term,
contr_indicator = input$contr_term,
mass_indicator = input$mass_term,
contr_threshold = input$contr_threshold_term/100,
mass_threshold = input$mass_threshold_term/100)$tab_rel
})
output$ae_term_table <- DT::renderDT({tabInput_term()}, escape = FALSE)
plotInput_term <- reactive({
gp <- shiny_term(data,
selected_cycle = input$selected_cycle_term,
selected_domain = input$selected_domain_term,
selected_grade = input$selected_grade_term,
contr_indicator = input$contr_term,
mass_indicator = input$mass_term,
contr_threshold = input$contr_threshold_term/100,
mass_threshold = input$mass_threshold_term/100)$asymmetric_plot
})
output$ae_term_biplot <- renderPlot({print(plotInput_term())})
output$ae_term_contr_table <- DT::renderDataTable(
shiny_term(data,
selected_cycle = input$selected_cycle_term,
selected_domain = input$selected_domain_term,
selected_grade = input$selected_grade_term,
contr_indicator = input$contr_term,
mass_indicator = input$mass_term,
contr_threshold = input$contr_threshold_term/100,
mass_threshold = input$mass_threshold_term/100)$tab_contr
)
output$downloadplot_term <- downloadHandler(
filename = function() { paste('ca_term.pdf', sep='') },
content = function(file) {
ggsave(file, plot = plotInput_term(), device = "pdf",
height = 7, width = 7)
}
)
output$downloadfreq_term <- downloadHandler(
filename = function() { paste('ca_term.csv', sep='') },
content = function(file) {
write.csv(tabInput_term(), file = file)
}
)
} else {
shinyjs::js$disabletabT("Term")
}
if('ae_term' %in% colnames(data) & 'ae_grade' %in% colnames(data)){#If true enable, else disable
shinyjs::js$enabletabT("TermGrade")
tabInput_term_grade <- reactive({
shiny_term_grade(data,
selected_cycle = input$selected_cycle_term_grade,
selected_domain = input$selected_domain_term_grade,
contr_indicator = input$contr_term_grade,
mass_indicator = input$mass_term_grade,
contr_threshold = input$contr_threshold_term_grade/100,
mass_threshold = input$mass_threshold_term_grade/100)$tab_rel
})
output$ae_term_grade_table <- DT::renderDT({tabInput_term_grade()}, escape = FALSE)
plotInput_term_grade <- reactive({gp <- shiny_term_grade(data,
selected_cycle = input$selected_cycle_term_grade,
selected_domain = input$selected_domain_term_grade,
contr_indicator = input$contr_term_grade,
mass_indicator = input$mass_term_grade,
contr_threshold = input$contr_threshold_term_grade/100,
mass_threshold = input$mass_threshold_term_grade/100)$asymmetric_plot
})
output$ae_term_grade_biplot <- renderPlot({print(plotInput_term_grade())})
output$ae_term_grade_contr_table <- DT::renderDataTable(
shiny_term_grade(data,
selected_cycle = input$selected_cycle_term_grade,
selected_domain = input$selected_domain_term_grade,
contr_indicator = input$contr_term_grade,
mass_indicator = input$mass_term_grade,
contr_threshold = input$contr_threshold_term_grade/100,
mass_threshold = input$mass_threshold_term_grade/100)$tab_contr
)
output$downloadplot_term_grade <- downloadHandler(
filename = function() { paste('ca_term_grade.pdf', sep='') },
content = function(file) {
ggsave(file, plot = plotInput_term_grade(), device = "pdf",
height = 7, width = 7)
}
)
output$downloadfreq_term_grade <- downloadHandler(
filename = function() { paste('ca_term_grade.csv', sep='') },
content = function(file) {
write.csv(tabInput_term_grade(), file = file)
}
)
} else {
shinyjs::js$disabletabT("TermGrade")
}
}
shinyApp(ui = ui(data), server = server)
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appDir <- getwd()
data <- getShinyOption("data")
#https://stackoverflow.com/questions/44319664/r-shiny-condition-a-tab-in-the-navbar-based-on-previous-tabs-condition
jscode <- "
shinyjs.disabletabD =function(name){
$('ul li:has(a[data-value= \"Domain\"])').addClass('disabled');
$('ul li:has(a[data-value= \"DomainGrade\"])').addClass('disabled');
}
shinyjs.enabletabD = function(name){
$('ul li:has(a[data-value= \"Domain\"])').removeClass('disabled');
$('ul li:has(a[data-value= \"DomainGrade\"])').removeClass('disabled');
}
shinyjs.disabletabT =function(name){
$('ul li:has(a[data-value= \"TermGrade\"])').addClass('disabled');
$('ul li:has(a[data-value= \"Term\"])').addClass('disabled');
}
shinyjs.enabletabT = function(name){
$('ul li:has(a[data-value= \"TermGrade\"])').removeClass('disabled');
$('ul li:has(a[data-value= \"Term\"])').removeClass('disabled');
}
"
ui = function(data){
if("ae_cycle" %in% colnames(data)){
cycle_options <- levels(as.factor(data$ae_cycle))
} else {
cycle_options <- NULL
}
if("ae_grade" %in% colnames(data)){
grade_options <- levels(as.factor(data$ae_grade))
} else {
grade_options <- NULL
}
if("ae_domain" %in% colnames(data)){
domain_options <- levels(as.factor(data$ae_domain))
} else {
domain_options <- NULL
}
if("ae_domain" %in% colnames(data) & "ae_grade" %in% colnames(data)){
domain_grade_options <- levels(as.factor(paste0(data$ae_domain, ":", data$ae_grade)))
} else {
domain_grade_options <- NULL
}
if("ae_term" %in% colnames(data)){
term_options <- levels(as.factor(data$ae_term))
} else {
term_options <- NULL
}
if("ae_term" %in% colnames(data) & "ae_grade" %in% colnames(data)){
term_grade_options <- levels(as.factor(paste0(data$ae_term, ":", data$ae_grade)))
} else {
term_grade_options <- NULL
}
fluidPage(
navbarPage("AE Report",
tabPanel("Grade",
value = "Grade",
sidebarLayout(
sidebarPanel(h4("Plot"),
numericInput(
inputId = 'contr_threshold_grade',
label = h6('Contribution Threshold'),
min = 0,
max = 100,
step = round(100/length(grade_options), 2),
value = round(100/length(grade_options), 2)
),
numericInput(
inputId = 'mass_threshold_grade',
label = h6('Mass Threshold'),
min = 0,
max = 100,
step = round(100/length(grade_options), 2),
value = round(100/length(grade_options), 2)
),
checkboxInput(
inputId = 'contr_grade',
label = h6('Contribution Color Intensity'),
value = TRUE
),
checkboxInput(
inputId = 'mass_grade',
label = h6('Mass Dot Size'),
value = TRUE
),
downloadButton('downloadplot_grade', 'Download Asymmetric Plot'),
downloadButton('downloadfreq_grade', 'Download Frequency Table'),
h4("Trial"),
selectInput(
inputId = 'selected_cycle_grade',
label = h6('Selected Cycles'),
multiple = TRUE,
selectize = TRUE,
choices = cycle_options,
selected = cycle_options
)
),
mainPanel(
tabsetPanel(
tabPanel("Asymmetric Plot", plotOutput("ae_grade_biplot",
height = "600px",
width = "600px")),
tabPanel("Frequency Table", DT::dataTableOutput("ae_grade_table")),
tabPanel("Contribution Table", DT::dataTableOutput("ae_grade_contr_table"))
)
)
)
),
tabPanel("Domain",
value = "Domain",
sidebarLayout(
sidebarPanel(h4("Plot"),
numericInput(
inputId = 'contr_threshold_domain',
label = h6('Contribution Threshold'),
min = 0,
max = 100,
step = round(100/length(domain_options), 2),
value = round(100/length(domain_options), 2)
),
numericInput(
inputId = 'mass_threshold_domain',
label = h6('Mass Threshold'),
min = 0,
max = 100,
step = round(100/length(domain_options), 2),
value = round(100/length(domain_options), 2)
),
checkboxInput(
inputId = 'contr_domain',
label = h6('Contribution Color Intensity'),
value = TRUE
),
checkboxInput(
inputId = 'mass_domain',
label = h6('Mass Dot Size'),
value = TRUE
),
downloadButton('downloadplot_domain', 'Download Asymmetric Plot'),
downloadButton('downloadfreq_domain', 'Download Frequency Table'),
h4("Trial"),
selectInput(
inputId = 'selected_cycle_domain',
label = h6('Selected Cycles'),
multiple = TRUE,
selectize = TRUE,
choices = cycle_options,
selected = cycle_options
),
selectInput(
inputId = 'selected_grade_domain',
label = h6('Selected Grades'),
multiple = TRUE,
selectize = TRUE,
choices = grade_options,
selected = grade_options
)
),
mainPanel(
tabsetPanel(tabPanel("Asymmetric Plot", plotOutput("ae_domain_biplot",
height = "600px",
width = "600px")),
tabPanel("Frequency Table", DT::dataTableOutput("ae_domain_table")),
tabPanel("Contribution Table", DT::dataTableOutput("ae_domain_contr_table"))
)
)
)
),
tabPanel("Domain and Grade",
value = "DomainGrade",
sidebarLayout(
sidebarPanel(h4("Plot"),
numericInput(
inputId = 'contr_threshold_domain_grade',
label = h6('Contribution Threshold'),
min = 0,
max = 100,
step = round(100/length(domain_grade_options), 2),
value = round(100/length(domain_grade_options), 2)
),
numericInput(
inputId = 'mass_threshold_domain_grade',
label = h6('Mass Threshold'),
min = 0,
max = 100,
step = round(100/length(domain_grade_options), 2),
value = round(100/length(domain_grade_options), 2)
),
checkboxInput(
inputId = 'contr_domain_grade',
label = h6('Contribution Color Intensity'),
value = TRUE
),
checkboxInput(
inputId = 'mass_domain_grade',
label = h6('Mass Dot Size'),
value = TRUE
),
downloadButton('downloadplot_domain_grade', 'Download Asymmetric Plot'),
downloadButton('downloadfreq_domain_grade', 'Download Frequency Table'),
h4("Trial"),
selectInput(
inputId = 'selected_cycle_domain_grade',
label = h6('Selected Cycles'),
multiple = TRUE,
selectize = TRUE,
choices = cycle_options,
selected = cycle_options
)
),
mainPanel(tabsetPanel(
tabPanel("Asymmetric Plot", plotOutput("ae_domain_grade_biplot",
height = "600px",
width = "600px")),
tabPanel("Frequency Table", DT::dataTableOutput("ae_domain_grade_table")),
tabPanel("Contribution Table", DT::dataTableOutput("ae_domain_grade_contr_table"))
)
)
)
),
tabPanel("Term",
value = "Term",
sidebarLayout(
sidebarPanel(h4("Plot"),
numericInput(
inputId = 'contr_threshold_term',
label = h6('Contribution Threshold'),
min = 0,
max = 100,
step = round(100/length(term_options), 2),
value = round(100/length(term_options), 2)
),
numericInput(
inputId = 'mass_threshold_term',
label = h6('Mass Threshold'),
min = 0,
max = 100,
step = round(100/length(term_options), 2),
value = round(100/length(term_options), 2)
),
checkboxInput(
inputId = 'contr_term',
label = h6('Contribution Color Intensity'),
value = TRUE
),
checkboxInput(
inputId = 'mass_term',
label = h6('Mass Dot Size'),
value = TRUE
),
downloadButton('downloadplot_term', 'Download Asymmetric Plot'),
downloadButton('downloadfreq_term', 'Download Frequency Table'),
h4("Trial"),
selectInput(
inputId = 'selected_cycle_term',
label = h6('Selected Cycles'),
multiple = TRUE,
selectize = TRUE,
choices = cycle_options,
selected = cycle_options
),
selectInput(
inputId = 'selected_domain_term',
label = h6('Selected Domains'),
multiple = TRUE,
selectize = TRUE,
choices = domain_options,
selected = domain_options
),
selectInput(
inputId = 'selected_grade_term',
label = h6('Selected Grades'),
multiple = TRUE,
selectize = TRUE,
choices = grade_options,
selected = grade_options
)
),
mainPanel(tabsetPanel(
tabPanel("Asymmetric Plot", plotOutput("ae_term_biplot",
height = "600px",
width = "600px")),
tabPanel("Frequency Table", DT::dataTableOutput("ae_term_table")),
tabPanel("Contribution Table", DT::dataTableOutput("ae_term_contr_table"))
)
)
)
),
tabPanel("Term and Grade",
value = "TermGrade",
sidebarLayout(
sidebarPanel(h4("Plot"),
numericInput(
inputId = 'contr_threshold_term_grade',
label = h6('Contribution Threshold'),
min = 0,
max = 100,
step = round(100/length(term_grade_options), 2),
value = round(100/length(term_grade_options), 2)
),
numericInput(
inputId = 'mass_threshold_term_grade',
label = h6('Mass Threshold'),
min = 0,
max = 100,
step = round(100/length(term_grade_options), 2),
value = round(100/length(term_grade_options), 2)
),
checkboxInput(
inputId = 'contr_term_grade',
label = h6('Contribution Color Intensity'),
value = TRUE
),
checkboxInput(
inputId = 'mass_term_grade',
label = h6('Mass Dot Size'),
value = TRUE
),
downloadButton('downloadplot_term_grade', 'Download Asymmetric Plot'),
downloadButton('downloadfreq_term_grade', 'Download Frequency Table'),
h4("Trial"),
selectInput(
inputId = 'selected_cycle_term_grade',
label = h6('Selected Cycles'),
multiple = TRUE,
selectize = TRUE,
choices = cycle_options,
selected = cycle_options
),
selectInput(
inputId = 'selected_domain_term_grade',
label = h6('Selected Domains'),
multiple = TRUE,
selectize = TRUE,
choices = domain_options,
selected = domain_options
)
),
mainPanel(tabsetPanel(
tabPanel("Asymmetric Plot", plotOutput("ae_term_grade_biplot",
height = "600px",
width = "600px")),
tabPanel("Frequency Table", DT::dataTableOutput("ae_term_grade_table")),
tabPanel("Contribution Table", DT::dataTableOutput("ae_term_grade_contr_table"))
)
)
)
),
tabPanel("About",
mainPanel(tabsetPanel(
tabPanel("Authors",
column(width = 8, offset = 1,
p(h4("Contact")),
p("Marcio Augusto Diniz", "<marcio.diniz@cshs.org>"),
p("Michael Luu", "<michael.luu@cshs.org>"),
p("Gillian Gresham", "<gillian.gresham@cshs.org>"),
p("Andre Rogatko", "<andre.rogatko@cshs.org>"),
p(strong("Cedars Sinai Medical Center")),
p(strong("Samuel Oschin Comprehensive Cancer Institute,
Biostatistics Core"))
),
column(width = 8, offset = 1,
p(h4("Funding")),
p(a("Moonshot Initiative",
href="https://www.cancer.gov/research/key-initiatives/moonshot-cancer-initiative"),
" - Grant Number: 1U01CA232859-01")
)
)
)
)
),
shinyjs::useShinyjs(),
shinyjs::extendShinyjs(text = jscode,
functions = c("disabletabD",
"enabletabD",
"disabletabT",
"enabletabT"))
)
)
}
server = function(input, output, session) {
shiny_grade <- function(data, selected_cycle,
contr_indicator, mass_indicator,
contr_threshold, mass_threshold){
if ("ae_cycle" %in% colnames(data))
data <- data %>% filter(.data$ae_cycle %in% selected_cycle)
out <- visae::ca_ae(data, id = .data$id,
group = .data$group,
ae_class = .data$ae_grade,
label = "Grade",
contr_indicator = contr_indicator,
mass_indicator = mass_indicator,
contr_threshold = contr_threshold,
mass_threshold = mass_threshold)
return(out)
}
shiny_domain <- function(data, selected_cycle, selected_grade,
contr_indicator, mass_indicator,
contr_threshold, mass_threshold){
if ("ae_cycle" %in% colnames(data))
data <- data %>% filter(.data$ae_cycle %in% selected_cycle)
if ("ae_grade" %in% colnames(data))
data <- data %>% filter(.data$ae_grade %in% c(selected_grade, NA))
out <- visae::ca_ae(data, id = .data$id,
group = .data$group,
ae_class = .data$ae_domain,
label = "Domain",
contr_indicator = contr_indicator,
mass_indicator = mass_indicator,
contr_threshold = contr_threshold,
mass_threshold = mass_threshold)
return(out)
}
shiny_domain_grade <- function(data, selected_cycle,
contr_indicator, mass_indicator,
contr_threshold, mass_threshold){
if ("ae_cycle" %in% colnames(data))
data <- data %>% filter(.data$ae_cycle %in% selected_cycle)
data <- data %>%
mutate(ae_domain_grade = ifelse(!is.na(.data$ae_domain) &
!is.na(.data$ae_grade),
paste0(.data$ae_domain, ": ", .data$ae_grade),
NA))
out <- visae::ca_ae(data, id = .data$id,
group = .data$group,
ae_class = .data$ae_domain_grade,
label = "Domain:Grade",
contr_indicator = contr_indicator,
mass_indicator = mass_indicator,
contr_threshold = contr_threshold,
mass_threshold = mass_threshold)
return(out)
}
shiny_term <- function(data, selected_cycle, selected_domain, selected_grade,
contr_indicator, mass_indicator,
contr_threshold, mass_threshold){
if ("ae_cycle" %in% colnames(data))
data <- data %>% filter(.data$ae_cycle %in% selected_cycle)
if ("ae_domain" %in% colnames(data))
data <- data %>% filter(.data$ae_domain %in% c(selected_domain, NA))
if ("ae_grade" %in% colnames(data))
data <- data %>% filter(.data$ae_grade %in% c(selected_grade, NA))
out <- visae::ca_ae(data, id = .data$id,
group = .data$group,
ae_class = .data$ae_term,
label = "Term",
contr_indicator = contr_indicator,
mass_indicator = mass_indicator,
contr_threshold = contr_threshold,
mass_threshold = mass_threshold)
return(out)
}
shiny_term_grade <- function(data, selected_cycle, selected_domain,
contr_indicator, mass_indicator,
contr_threshold, mass_threshold){
if ("ae_cycle" %in% colnames(data))
data <- data %>% filter(.data$ae_cycle %in% selected_cycle)
if ("ae_domain" %in% colnames(data))
data <- data %>% filter(.data$ae_domain %in% c(selected_domain, NA))
data <- data %>%
mutate(ae_term_grade = ifelse(!is.na(.data$ae_term) &
!is.na(.data$ae_grade),
paste0(.data$ae_term, ": ", .data$ae_grade),
NA))
out <- visae::ca_ae(data, id = .data$id,
group = .data$group,
ae_class = .data$ae_term_grade,
label = "Term:Grade",
contr_indicator = contr_indicator,
mass_indicator = mass_indicator,
contr_threshold = contr_threshold,
mass_threshold = mass_threshold)
return(out)
}
if('ae_grade' %in% colnames(data)){
tabInput_grade <- reactive({
tab <- shiny_grade(data,
selected_cycle = input$selected_cycle_grade,
contr_indicator = input$contr_grade,
mass_indicator = input$mass_grade,
contr_threshold = input$contr_threshold_grade/100,
mass_threshold = input$mass_threshold_grade/100)$tab_rel
})
output$ae_grade_table <- DT::renderDT({tabInput_grade()}, escape = FALSE)
plotInput_grade <- reactive({
gp <- shiny_grade(data,
selected_cycle = input$selected_cycle_grade,
contr_indicator = input$contr_grade,
mass_indicator = input$mass_grade,
contr_threshold = input$contr_threshold_grade/100,
mass_threshold = input$mass_threshold_grade/100)$asymmetric_plot
})
output$ae_grade_biplot <- renderPlot({print(plotInput_grade())})
output$ae_grade_contr_table <- DT::renderDataTable(
shiny_grade(data,
selected_cycle = input$selected_cycle_grade,
contr_indicator = input$contr_grade,
mass_indicator = input$mass_grade,
contr_threshold = input$contr_threshold_grade/100,
mass_threshold = input$mass_threshold_grade/100)$tab_contr
)
output$downloadplot_grade <- downloadHandler(
filename = function() { paste('ca_grade.pdf', sep='') },
content = function(file) {
ggsave(file, plot = plotInput_grade(), device = "pdf",
height = 7, width = 7)
}
)
output$downloadfreq_grade <- downloadHandler(
filename = function() { paste('ca_grade.csv', sep='') },
content = function(file) {
write.csv(x = tabInput_grade(), file = file)
}
)
}
if('ae_domain' %in% colnames(data)){
shinyjs::js$enabletabD("Domain")
tabInput_domain <- reactive({
tab <- shiny_domain(data,
selected_cycle = input$selected_cycle_domain,
selected_grade = input$selected_grade_domain,
contr_indicator = input$contr_domain,
mass_indicator = input$mass_domain,
contr_threshold = input$contr_threshold_domain/100,
mass_threshold = input$mass_threshold_domain/100)$tab_rel
})
output$ae_domain_table <- DT::renderDT({tabInput_domain()}, escape = FALSE)
plotInput_domain <- reactive({
gp <- shiny_domain(data,
selected_cycle = input$selected_cycle_domain,
selected_grade = input$selected_grade_domain,
contr_indicator = input$contr_domain,
mass_indicator = input$mass_domain,
contr_threshold = input$contr_threshold_domain/100,
mass_threshold = input$mass_threshold_domain/100)$asymmetric_plot
})
output$ae_domain_biplot <- renderPlot({print(plotInput_domain())})
output$ae_domain_contr_table <- DT::renderDataTable(
shiny_domain(data,
selected_cycle = input$selected_cycle_domain,
selected_grade = input$selected_grade_domain,
contr_indicator = input$contr_domain,
mass_indicator = input$mass_domain,
contr_threshold = input$contr_threshold_domain/100,
mass_threshold = input$mass_threshold_domain/100)$tab_contr
)
output$downloadplot_domain <- downloadHandler(
filename = function() { paste('ca_domain.pdf', sep='') },
content = function(file) {
ggsave(file, plot = plotInput_domain(), device = "pdf",
height = 7, width = 7)
}
)
output$downloadfreq_domain <- downloadHandler(
filename = function() { paste('ca_domain.csv', sep='') },
content = function(file) {
write.csv(tabInput_domain(), file = file)
}
)
} else {
shinyjs::js$disabletabD("Domain")
}
if('ae_domain' %in% colnames(data) & 'ae_grade' %in% colnames(data)){
shinyjs::js$enabletabD("DomainGrade")
tabInput_domain_grade <- reactive({
tab <- shiny_domain_grade(data,
selected_cycle = input$selected_cycle_domain_grade,
contr_indicator = input$contr_domain_grade,
mass_indicator = input$mass_domain_grade,
contr_threshold = input$contr_threshold_domain_grade/100,
mass_threshold = input$mass_threshold_domain_grade/100)$tab_rel
})
output$ae_domain_grade_table <- DT::renderDT({tabInput_domain_grade()}, escape = FALSE)
plotInput_domain_grade <- reactive({
gp <- shiny_domain_grade(data,
selected_cycle =
input$selected_cycle_domain_grade,
contr_indicator = input$contr_domain_grade,
mass_indicator = input$mass_domain_grade,
contr_threshold = input$contr_threshold_domain_grade/100,
mass_threshold = input$mass_threshold_domain_grade/100)$asymmetric_plot
})
output$ae_domain_grade_biplot <- renderPlot({print(plotInput_domain_grade())})
output$ae_domain_grade_contr_table <- DT::renderDataTable(
shiny_domain_grade(data,
selected_cycle =
input$selected_cycle_domain_grade,
contr_indicator = input$contr_domain_grade,
mass_indicator = input$mass_domain_grade,
contr_threshold = input$contr_threshold_domain_grade/100,
mass_threshold = input$mass_threshold_domain_grade/100)$tab_contr
)
output$downloadplot_domain_grade <- downloadHandler(
filename = function() { paste('ca_domain_grade.pdf', sep='') },
content = function(file) {
ggsave(file, plot = plotInput_domain_grade(), device = "pdf",
height = 7, width = 7)
}
)
output$downloadfreq_domain_grade <- downloadHandler(
filename = function() { paste('ca_domain_grade.csv', sep='') },
content = function(file) {
write.csv(tabInput_domain_grade(), file = file)
}
)
} else {
shinyjs::js$disabletabD("DomainGrade")
}
if('ae_term' %in% colnames(data)){#If true enable, else disable
shinyjs::js$enabletabT("Term")
tabInput_term <- reactive({
tab <- shiny_term(data,
selected_cycle = input$selected_cycle_term,
selected_domain = input$selected_domain_term,
selected_grade = input$selected_grade_term,
contr_indicator = input$contr_term,
mass_indicator = input$mass_term,
contr_threshold = input$contr_threshold_term/100,
mass_threshold = input$mass_threshold_term/100)$tab_rel
})
output$ae_term_table <- DT::renderDT({tabInput_term()}, escape = FALSE)
plotInput_term <- reactive({
gp <- shiny_term(data,
selected_cycle = input$selected_cycle_term,
selected_domain = input$selected_domain_term,
selected_grade = input$selected_grade_term,
contr_indicator = input$contr_term,
mass_indicator = input$mass_term,
contr_threshold = input$contr_threshold_term/100,
mass_threshold = input$mass_threshold_term/100)$asymmetric_plot
})
output$ae_term_biplot <- renderPlot({print(plotInput_term())})
output$ae_term_contr_table <- DT::renderDataTable(
shiny_term(data,
selected_cycle = input$selected_cycle_term,
selected_domain = input$selected_domain_term,
selected_grade = input$selected_grade_term,
contr_indicator = input$contr_term,
mass_indicator = input$mass_term,
contr_threshold = input$contr_threshold_term/100,
mass_threshold = input$mass_threshold_term/100)$tab_contr
)
output$downloadplot_term <- downloadHandler(
filename = function() { paste('ca_term.pdf', sep='') },
content = function(file) {
ggsave(file, plot = plotInput_term(), device = "pdf",
height = 7, width = 7)
}
)
output$downloadfreq_term <- downloadHandler(
filename = function() { paste('ca_term.csv', sep='') },
content = function(file) {
write.csv(tabInput_term(), file = file)
}
)
} else {
shinyjs::js$disabletabT("Term")
}
if('ae_term' %in% colnames(data) & 'ae_grade' %in% colnames(data)){#If true enable, else disable
shinyjs::js$enabletabT("TermGrade")
tabInput_term_grade <- reactive({
shiny_term_grade(data,
selected_cycle = input$selected_cycle_term_grade,
selected_domain = input$selected_domain_term_grade,
contr_indicator = input$contr_term_grade,
mass_indicator = input$mass_term_grade,
contr_threshold = input$contr_threshold_term_grade/100,
mass_threshold = input$mass_threshold_term_grade/100)$tab_rel
})
output$ae_term_grade_table <- DT::renderDT({tabInput_term_grade()}, escape = FALSE)
plotInput_term_grade <- reactive({gp <- shiny_term_grade(data,
selected_cycle = input$selected_cycle_term_grade,
selected_domain = input$selected_domain_term_grade,
contr_indicator = input$contr_term_grade,
mass_indicator = input$mass_term_grade,
contr_threshold = input$contr_threshold_term_grade/100,
mass_threshold = input$mass_threshold_term_grade/100)$asymmetric_plot
})
output$ae_term_grade_biplot <- renderPlot({print(plotInput_term_grade())})
output$ae_term_grade_contr_table <- DT::renderDataTable(
shiny_term_grade(data,
selected_cycle = input$selected_cycle_term_grade,
selected_domain = input$selected_domain_term_grade,
contr_indicator = input$contr_term_grade,
mass_indicator = input$mass_term_grade,
contr_threshold = input$contr_threshold_term_grade/100,
mass_threshold = input$mass_threshold_term_grade/100)$tab_contr
)
output$downloadplot_term_grade <- downloadHandler(
filename = function() { paste('ca_term_grade.pdf', sep='') },
content = function(file) {
ggsave(file, plot = plotInput_term_grade(), device = "pdf",
height = 7, width = 7)
}
)
output$downloadfreq_term_grade <- downloadHandler(
filename = function() { paste('ca_term_grade.csv', sep='') },
content = function(file) {
write.csv(tabInput_term_grade(), file = file)
}
)
} else {
shinyjs::js$disabletabT("TermGrade")
}
}
shinyApp(ui = ui(data), server = server)
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