")
} else {
""
}
})
output$notlogged1 <- renderUI({
if (is.null(emiglio)){
HTML("
Please log in to View your history
")
} else {
""
}
})
output$biologicalAgePlot <- renderPlot(
if (!is.null(emiglio)){
if(nrow(values %>% filter(email == emiglio))>0){
values %>%
filter(email == emiglio) %>%
select(c(age, age_bio, date)) %>%
group_by(date) %>%
mutate(age = mean(age, na.rm = T), age_bio = mean(age_bio, na.rm = T)) %>%
rename(
`Actual age` = age,
`Biological age` = age_bio
) %>%
mutate(Date = as_date(date)) %>%
pivot_longer(cols = c(1:2), names_to = "name", values_to = "value") %>%
ggplot(aes(
x = Date,
y = value,
color = name
)
)+
geom_line(size = 1.3)+
theme_bw()+
scale_color_discrete(name = "")+
scale_y_continuous(breaks = round(seq(min(c(values$age, values$age_bio)), max(c(values$age, values$age_bio)), by = 2),0))
}
}
)
output$table <- renderTable(
if (!is.null(emiglio)){
if(nrow(values %>% filter(email == emiglio))>0){
values %>%
filter(email == emiglio) %>%
mutate_at(c(1, 11), round, 1) %>%
select(c(15, 2:10, 1, 11)) %>%
#arrange(-date) %>%
mutate(date = as.character(as.Date(date)))%>%
rename(
Creatinine = creat,
`Lymphocyte (Lymphs)` = lymph,
`CRP (C-reactive Protein)` = crp,
`White Blood Cells` = wbc,
`Mean Cell Volume` = mcv,
`Red cells distribution width` = rdw,
Glucose = glucose,
`Alkaline Phosphatase` = alp,
`Actual Age` = age,
`Biological Age` = age_bio
)
}
}
)
observe({
iv <- InputValidator$new()
iv$add_rule("albumin", checkRange, 2, 8)
iv$add_rule("creat", checkRange, .2, 2)
iv$add_rule("rdw", checkRange, 10, 20)
iv$add_rule("crp", checkRange, 0, 50)
iv$add_rule("lymph", checkRange, 0, 100)
iv$add_rule("glucose", checkRange, 40, 400)
iv$add_rule("wbc", checkRange, 2, 25)
iv$add_rule("alp", checkRange, 0, 300)
iv$add_rule("mcv", checkRange, 70, 120)
iv$add_rule("phone_number", validatePhone, 10)
iv$enable()
output$values <- renderPrint({
req(iv$is_valid())
})
})
observeEvent(input$submit, {
shinyjs::show(id = "loading") # Show loading spinner
nome = paste0(input$Name, " ", input$Surname)
ageAtTestDate <- round(as.numeric(difftime(Sys.Date(), input$dob, units = "days")) / 365.25, 1)
if (!is.null(input$dob)) {
allInputs <- data.frame(
age = as.numeric(difftime(Sys.Date(), input$dob, units = "days")) / 365.25,
albumin = input$albumin,
lymph = input$lymph,
mcv = input$mcv,
glucose = input$glucose,
rdw = input$rdw,
creat = input$creat,
crp = input$crp,
alp = input$alp,
wbc = input$wbc
)
}
if (!is.null(input$phone_number) && !is.null(phone_number_regex) &&
grepl(phone_prefix_regex, input$phone_prefix) &&
grepl(phone_number_regex, input$phone_number)) {
validated_phone <- paste(input$phone_prefix, input$phone_number)
} else {
validated_phone = NA
}
mrkrs = colnames(allInputs[, colSums(is.na(allInputs)) < nrow(allInputs)])
train = phenoage_calc(NHANES3, biomarkers = mrkrs)
biological_age <- phenoage_calc(allInputs, biomarkers = mrkrs, fit = train$fit)$data$phenoage
allInputs_tosave = allInputs %>%
mutate(
age_bio = biological_age,
email = ifelse(is.null(emiglio), "", emiglio),
name = nome,
phone = validated_phone,
date= input$bloodTestDate
)
biologicalAge <- if (!is.null(input$dob)) {
paste("Your biological age is approximately:", round(biological_age, 1), "years")
} else {
"Please enter at least your date of birth"
}
observeEvent(input$close_modal, {
removeModal()
})
output$results <- renderUI(
HTML(
paste0(
"
",
"
Hello ", nome, "
",
"
Your biological age is ", round(biological_age, 1), " years
",
"
Your actual age is ", ageAtTestDate, " years
"
)
)
)
# Append data to Google Sheet
if (nrow(allInputs_tosave) == 1) {
if (nrow(values()) == 0) {
sheet_write(data = allInputs_tosave, ss = sheet_id, sheet = "longevity")
} else {
sheet_append(data = allInputs_tosave, ss = sheet_id, sheet = "longevity")
}
}
# Update values to reflect the new data
values(read_sheet(ss = sheet_id, sheet = "longevity"))
shinyjs::hide(id = "loading") # Hide loading spinner
# Generate biological age plot
output$biologicalAgePlot <- renderPlot({
if (!is.null(emiglio)) {
if (nrow(values() %>% filter(email == emiglio)) > 0) {
values() %>%
filter(email == emiglio) %>%
select(c(age, age_bio, date)) %>%
group_by(date) %>%
mutate(age = mean(age, na.rm = TRUE), age_bio = mean(age_bio, na.rm = TRUE)) %>%
rename(`Actual age` = age, `Biological age` = age_bio) %>%
mutate(Date = as_date(date)) %>%
pivot_longer(cols = c(1:2), names_to = "name", values_to = "value") %>%
ggplot(aes(x = Date, y = value, color = name)) +
geom_line(size = 1.3) +
theme_bw() +
scale_color_discrete(name = "") +
scale_y_continuous(breaks = round(seq(min(c(values()$age, values()$age_bio)),
max(c(values()$age, values()$age_bio)), by = 2), 0))
}
}
})
# Generate biological age table
output$table <- renderTable({
if (!is.null(emiglio)) {
if (nrow(values() %>% filter(email == emiglio)) > 0) {
values() %>%
filter(email == emiglio) %>%
mutate_at(c(1, 11), round, 1) %>%
select(c(15, 2:10, 1, 11)) %>%
mutate(date = as.character(as.Date(date))) %>%
rename(
Creatinine = creat,
`Lymphocyte (Lymphs)` = lymph,
`CRP (C-reactive Protein)` = crp,
`White Blood Cells` = wbc,
`Mean Cell Volume` = mcv,
`Alkaline Phosphatase` = alp,
Glucose = glucose,
`Red cells distribution width` = rdw,
`Actual Age` = age,
`Biological Age` = age_bio
)
}
}
})
})
}
shinyApp(ui = ui, server = server)