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app.R
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app.R
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library(shinymaterial)
library(shiny)
library(shinyjs)
library(readxl)
library(DT)
library(dplyr)
library(htmltools)
library(ggplot2)
library(gridExtra)
library(shinymanager) ## login
library(highcharter) ## interactive graph
library(googlesheets4) # google sheets
options(shiny.sanitize.errors = F)
# important -------------------------------- must be development version
# devtools::install_github('r-lib/gargle')
library(gargle) # googlesheets encoding,
library(lubridate) # date handling
library(tibble)
## Make login DB
# credentials <- data.frame(
# user = c("admin", "user1"),
# password = c("admin", "user1"),
# admin = c(T, F),
# stringsAsFactors = FALSE)
# create_db(credentials_data = credentials, sqlite_path = "database.sqlite")
material_infobox <- function(width, offset = 0, contents, Infotitle, Cardcolor, boxid, hover = TRUE, hide = FALSE) {
title <- HTML(paste0("<span style='font-weight:bold; font-size:1.2vw;margin:auto;color:#FFF;'>", Infotitle, "</span> ")) # Main Title with white color
box <- shiny::tags$div(
class = "card z-depth-3",
shiny::tags$div(
class = "card-content action-button",
id = boxid,
style = paste0("background-color:", Cardcolor, "; padding : 1em; ", ifelse(hover, "cursor:pointer;", ""), ifelse(hide, "display:none;", "")),
shiny::tags$span(class = "card-title", style = "text-align:center", title),
shiny::tags$div(
HTML(paste0("<div style = 'text-align:center;'><span style='font-size:1.2vw; color:#FFF;'>", contents, "</span></div>"))
)
)
)
material_column(
width = width,
offset = offset,
box
)
}
myButton <- function(inputId, label, width = NULL, onClick = NULL, ...) {
value <- restoreInput(id = inputId, default = NULL)
tags$button(
id = inputId, style = if (!is.null(width)) {
paste0("width: ", validateCssUnit(width), ";")
},
type = "button", class = "btn btn-default action-button",
onClick = onClick,
`data-val` = value, list(label),
...
)
}
triage <- function(v) {
PT <- PCO <- 0
POT <- 0
PBC <- PP <- PO <- 0
if (is.na(v$호흡곤란)) {
PCF <- ""
# NO POT ADD
}
else {
PCF <- v$호흡곤란
POT <- POT + PCF
}
if (is.na(v$가벼운불안)) {
PM <- ""
# NO POT ADD
}
else {
PM <- v$가벼운불안
POT <- POT + PM
}
##### PT
T <- v$체온
if (!is.na(T)) {
if (T <= 35) PT <- 3
if (T <= 36 || T > 39) PT <- max(2, PT)
if (T > 38) PT <- max(1, PT)
POT <- POT + PT
}
else {
PT <- ""
# NO POT ADD
}
##### PCO
CO <- v$의식저하
if (is.na(CO)) {
PCO <- ""
# NO POT ADD
}
else {
if (CO) PCO <- 3
POT <- POT + PCO
}
O <- v$산소포화도
if (is.na(O)) {
PO <- ""
} else{
if (O <= 95) {
PO <- 2
}
if (O <= 93) {
PO <- 3
}
POT <- POT + PO
}
BC <- v$호흡수
if (is.na(BC)) {
PBC <- ""
} else{
if (BC >= 25 || BC <= 8) {
PBC <- 3
}
if ((BC >= 9 & BC <= 11) | (BC >= 21 & BC <= 24)) {
PBC <- 2
}
POT <- POT + PBC
}
P <- v$맥박
if (is.na(P)) {
PP <- ""
} else{
if (P > 110 || P <= 40) {
PP <- 3
}
if ((P >= 101 & P <=110) | (P >= 41 & P <= 50)) {
PP <- 2
}
POT <- POT + PP
}
return(c(PT, PCF, PCO, PM, PO, PBC, PP, POT))
}
ui <- function() {
material_page(
nav_bar_color = "deep-purple lighten-1",
color = "#311b92",
title = paste0(
"G-CoMS 확진자 건강관리 시스템<a href = 'https://github.com/shinykorea/corona-triage' target='_blank'> ",
"<i class='material-icons' style = 'font-size:1.3em;'> info </i> </a>"
),
useShinyjs(),
tags$head(tags$style(type = "text/css", "table.dataTable tr.selected td, table.dataTable td.selected {background-color: #d1c4e9 !important;}")),
tags$head(HTML("<title>G-CoMS 확진자 건강관리 시스템</title>")),
## Change Font Here ---------------------------------------------------
tags$head(includeCSS("www/includeGGfont.css")),
tags$head(includeCSS("www/customcss.css")),
material_tabs(
tabs = c(
"가정대기환자 홈케어시스템" = "facility" # ,
# "가정" = "home" # ,
# "구글시트예시" = 'google'
),
color = "#311b92"
),
# Define Pat content
material_tab_content(
tab_id = "facility",
# navigator
div(
material_column(
myButton(inputId = "toinfo", label = "요약", onClick = 'location.href = "#infoboxGroup"'),
myButton(inputId = "totab1", label = "전체환자", onClick = 'location.href = "#tab1"'),
myButton(inputId = "totab2", label = "선택환자", onClick = 'location.href = "#tab2"'),
myButton(inputId = "toimg", label = "시간별", onClick = 'location.href = "#img"'),
),
id = "home_navigator",
style = "position:fixed;bottom:3em;width:100%;z-index:999;"
),
material_row(
div(style = "height:1em"),
uiOutput(outputId = "infoboxGroup"),
material_infobox(
width = 2, offset = 5,
contents = "",
Infotitle = "테이블 리셋",
Cardcolor = "#000000",
boxid = "resetBox", hide = TRUE
) # reset
),
material_row(
material_column(
width = 12,
material_card(
depth = 3,
title = "",
actionButton(inputId = "reload", label = "테이블 새로고침", style = "right: -90%; position: relative; margin-bottom: 1em;"),
DT::dataTableOutput("tab1"),
actionButton(inputId = "unorder", label = "정렬 해제", style = "right: -90%; position: relative; margin-top: 1em; display:none;")
)
),
),
material_row(
height = "100%",
material_column(
material_card(
title = htmlOutput("pat", style = "text-align:center"),
divider = TRUE,
DT::dataTableOutput("tab0"),
uiOutput("note"),
div(class = "divider", style = "margin-top:3em;"),
DT::dataTableOutput("tab2")
),
width = 12
),
material_column(
material_card(
title = HTML(paste0(
"시간별 지수 변화, ",
'<span style = "background-color:#ff6363"> </span> : 3 ',
'<span style = "background-color:#ff9d9d"> </span> : 2 ',
'<span style = "background-color:#35a4c6"> </span> : 1 ',
'<span style = "background-color:#35a4c6"> </span> : 0'
)),
divider = TRUE,
highchartOutput("img", height = "800px"),
depth = 3
),
width = 12
)
),
div(style = "height:3em;")
),
# material_tab_content(
# tab_id = "home",
# material_row(
# div(style = "height:1em"),
# uiOutput(outputId = "infoboxGroup2")
# ),
# material_row(
# material_column(
# width = 12,
# material_card(
# title = "",
# depth = 3,
# DT::dataTableOutput("tab_google"),
# )
# )
# ),
# material_row(
# height = "100%",
# material_column(
# material_card(
# title = htmlOutput("pat2", style = "text-align:center"),
# divider = TRUE,
# DT::dataTableOutput("tab_google2")
# ),
# width = 12
# ),
# material_column(
# material_card(
# title = HTML(paste0(
# "시간별 지수 변화, ",
#' <span style = "background-color:#ff6363"> </span> : 3 ',
#' <span style = "background-color:#f6a21c"> </span> : 2 ',
#' <span style = "background-color:#ffed82"> </span> : 1 ',
#' <span style = "background-color:#35bdbb"> </span> : 0'
# )),
# highchartOutput("img2", height = "600px"),
# depth = 3
# ),
# width = 12
# )
# )
# )
)
}
# Wrap your UI with secure_app
ui <- secure_app(ui(), enable_admin = T, theme = 'customcss.css') #개발땐 생략, 배포시 적용
getColor <- function(Data, Type) {
col1 <- "#35a4c6" # yellow
col2 <- "#ff9d9d" # orange
col3 <- "#ff6363" # red
colBasic <- "#35a4c6" # emerald
if (Type == "중증도") {
res <-
sapply(Data[[Type]], function(i) {
v <- colBasic
if (is.na(i)) {
return(colBasic)
}
if (i == 1) v <- col1
if (i == 2) v <- col2
if (i >= 3) v <- col3
return(v)
}, USE.NAMES = FALSE)
}
if (Type == "체온") {
res <-
sapply(Data[[Type]], function(T) {
if (is.na(T)) {
return(colBasic)
}
if (T <= 35) {
return(col3)
}
if (T <= 36 || T > 39) {
return(col2)
}
if (T >= 38) {
return(col1)
}
return(colBasic)
}, USE.NAMES = FALSE)
}
if (Type == "산소포화도") {
res <-
sapply(Data[[Type]], function(O) {
if (is.na(O)) {
return(colBasic)
}
if (O <= 93) {
return(col3)
}
if (O <= 95) {
return(col2)
}
return(colBasic)
}, USE.NAMES = FALSE)
}
if (Type == "호흡수") {
res <-
sapply(Data[[Type]], function(BC) {
if (is.na(BC)) {
return(colBasic)
}
if (BC >= 25 || BC <= 8) {
return(col3)
}
if ((BC >= 9 & BC <= 11) | (BC >= 21 & BC <= 24)) {
return(col2)
}
return(colBasic)
}, USE.NAMES = FALSE)
}
if (Type == "맥박") {
res <-
sapply(Data[[Type]], function(P) {
if (is.na(P)) {
return(colBasic)
}
if (P > 110 || P <= 40) {
return(col3)
}
if ((P >= 101 & P <=110) | (P >= 41 & P <= 50)) {
return(col2)
}
return(colBasic)
}, USE.NAMES = FALSE)
}
return(data.frame(날짜 = Data[["날짜"]], y = Data[[Type]], color = res))
}
styleDT <- function(point, change) {
col2 <- "#ff9d9d" # orange
col3 <- "#ff6363" # red
col4 <- "#91c320" # green
JS(paste0("function(row, data, index){
// Point
if(data[", point, "] == 2 ){$(row).find('td:eq(", point, ")').css({'background-color' : '", col2, "'});}
if(data[", point, "] >= 3 ){$(row).find('td:eq(", point, ")').css({'background-color' : '", col3, "',});}
// change
if(data[", change, "] == '-' ){$(row).find('td:eq(", change, ")').css({'color' : '", col4, "'});}
if(data[", change, "] == '+' ){$(row).find('td:eq(", change, ")').css({'color' : '", col3, "',});}
}"))
}
styleDT2 <- function(point) {
temp <- 6
mental <- 7
anxiety <- 8
dyspnea <- 10
col2 <- "#ff9d9d" # orange
col3 <- "#ff6363" # red
col4 <- "#ffaaa5" #
JS(paste0("function(row, data, index){
// Point
if(data[", point, "] == 2 ){$(row).find('td:eq(", point, ")').css({'background-color' : '", col2, "'});}
if(data[", point, "] >= 3 ){$(row).find('td:eq(", point, ")').css({'background-color' : '", col3, "',});}
// temp
if(data[", temp, "] == null ){$(row).find('td:eq(", temp, ")').css({'background-color' : '", col4, "',});}
// mental
if(data[", mental, "].length == 0 ){$(row).find('td:eq(", mental, ")').css({'background-color' : '", col4, "',});}
// anxiety
if(data[", anxiety, "].length == 0 ){$(row).find('td:eq(", anxiety, ")').css({'background-color' : '", col4, "',});}
// dyspnea
if(data[", dyspnea, "].length == 0 ){$(row).find('td:eq(", dyspnea, ")').css({'background-color' : '", col4, "',});}
}"))
}
asDate <- function(i) {
i <- strsplit(as.character(i), "")[[1]]
as.Date(paste0(
paste0(i[1:4], collapse = ""), "-",
paste0(i[5:6], collapse = ""), "-",
paste0(i[7:8], collapse = "")
), origin = "1970-01-01")
}
readSurvey <- function(auth, Survey) {
sheets_auth(auth) # hide.
Link <- Survey # hide.
withProgress(
message = "데이터 읽는 중 (설문)",{
Survey <- read_sheet(Link)
}
)
colnames(Survey) <- c(
"시간", "목적", "이름", "주민등록번호", "확진일자",
"입소일자", "센터", "보건소", "60세", "24개월",
"개월", "보호자", "기저질병", "초기산소", "독립생활",
"거주지", "고위험군동거"
)
Survey$주민등록번호 = as.character(Survey$주민등록번호)
# ------ 제일 나중에 업데이트 한걸로 반영영
Survey <- Survey %>% group_by(이름, 주민등록번호) %>% filter(시간 == max(시간))
return(data.frame(Survey))
}
readPat <- function(auth, Link, Link2, Link3) {
googledrive::drive_auth(auth) # hide.
today <- Sys.Date()
Pat <- NULL
#withProgress(
# message = "데이터 읽는 중 (용인)",{
# googledrive::drive_download(Link, overwrite = T)
# PatTemp <- readxl::excel_sheets("G-CoMS Data - 용인.xlsx") %>%
# lapply(function(x){readxl::read_excel("G-CoMS Data - 용인.xlsx", sheet = x)}) %>% Reduce(rbind, .)
# PatTemp$temperature <- as.numeric(unlist(PatTemp$temperature))
# PatTemp$mental <- as.numeric(unlist(PatTemp$mental))
# PatTemp$anxiety <- as.numeric(unlist(PatTemp$anxiety))
# PatTemp$dyspnea <- as.numeric(unlist(PatTemp$dyspnea))
# PatTemp$sao2 <- as.numeric(unlist(PatTemp$sao2))
# PatTemp$HR <- as.numeric(unlist(PatTemp$HR))
# PatTemp$PCR <- as.numeric(unlist(PatTemp$PCR))
# Pat <- rbind(Pat, PatTemp)
# }
#)
withProgress(
message = "데이터 읽는 중 (가정대기)",{
googledrive::drive_download(Link2, overwrite = T)
PatTemp <- readxl::excel_sheets("G-CoMS Data - 가정대기 중증도 모니터링.xlsx") %>%
lapply(function(x){readxl::read_excel("G-CoMS Data - 가정대기 중증도 모니터링.xlsx", sheet = x)}) %>% do.call(plyr::rbind.fill, .)
PatTemp$temperature <- as.numeric(unlist(PatTemp$temperature))
PatTemp$mental <- as.numeric(unlist(PatTemp$mental))
PatTemp$anxiety <- as.numeric(unlist(PatTemp$anxiety))
PatTemp$dyspnea <- as.numeric(unlist(PatTemp$dyspnea))
PatTemp$sao2 <- as.numeric(unlist(PatTemp$sao2))
PatTemp$HR <- as.numeric(unlist(PatTemp$HR))
PatTemp$PCR <- as.numeric(unlist(PatTemp$PCR))
PatTemp$시간 <- format(PatTemp$시간, "%H:%M")
Pat <- plyr::rbind.fill(Pat, filter(PatTemp, date >= 20200822))
}
)
#withProgress(
# message = "데이터 읽는 중 (이천)",{
# googledrive::drive_download(Link3, overwrite = T)
# PatTemp <- readxl::excel_sheets("G-CoMS Data - 이천.xlsx") %>%
# lapply(function(x){readxl::read_excel("G-CoMS Data - 이천.xlsx", sheet = x)}) %>% Reduce(rbind, .)
# PatTemp$temperature <- as.numeric(unlist(PatTemp$temperature))
# PatTemp$mental <- as.numeric(unlist(PatTemp$mental))
# PatTemp$anxiety <- as.numeric(unlist(PatTemp$anxiety))
# PatTemp$dyspnea <- as.numeric(unlist(PatTemp$dyspnea))
# PatTemp$sao2 <- as.numeric(unlist(PatTemp$sao2))
# PatTemp$HR <- as.numeric(unlist(PatTemp$HR))
# PatTemp$PCR <- as.numeric(unlist(PatTemp$PCR))
# Pat <- plyr::rbind.fill(Pat, PatTemp)
# }
#)
if(length(Pat)){
colnames(Pat)[1:15] <- c(
"주민등록번호", "이름", "체온", "의식저하", "가벼운불안",
"호흡곤란", "산소포화도", "호흡수", "맥박", "PCR",
"퇴원여부", "센터", "입력날짜", "차수", "입력시간"
)
Pat <- Pat[!is.na(Pat$주민등록번호), ]
Pat$주민등록번호 <- as.character(Pat$주민등록번호)
Age <- sapply(1:nrow(Pat), function(i) {
# Year
if (substr(Pat$주민등록번호[i], 7, 7) %in% 3:4 ) { ## after 2000
day <- (today - as.Date(paste0("20", substr(Pat$주민등록번호[i], 1, 6)), "%Y%m%d"))[[1]]
}
else { # before 2000
day <- (today - as.Date(paste0("19", substr(Pat$주민등록번호[i], 1, 6)), "%Y%m%d"))[[1]]
}
floor(day / 365)
})
### 중증도 계산 --------------------------------
TRIS <- sapply(1:nrow(Pat), function(i) {
Pat[i, ] %>%
select(체온, 호흡곤란, 의식저하, 가벼운불안, 산소포화도, 호흡수, 맥박) %>%
triage()
})
rownames(TRIS) <- c("체온지수", "심폐지수", "의식지수", "심리지수", "산소포화도지수", "호흡수지수", "맥박지수", "중증도")
TRIS <- data.frame(t(TRIS), stringsAsFactors = FALSE)
Pat <- Pat %>% cbind(나이 = Age)
Pat <- Pat %>% cbind(TRIS)
Pat$중증도 <- as.numeric(Pat$중증도)
## 날짜 decompose ---------------
DATE <- sapply(1:nrow(Pat), function(i) {
if (Pat$차수[i] == 1) {
return(paste0(Pat$입력날짜[i], " 1차"))
}
return(paste0(Pat$입력날짜[i], " 2차"))
}, USE.NAMES = FALSE)
Pat <- Pat %>%
cbind(DATE) %>%
rename(날짜 = DATE)
Pat$날짜 <- as.character(Pat$날짜)
# 생년월일
Birth <- sapply(Pat$주민등록번호, function(i) {
substr(i,1,6)
})
Sex <- sapply(Pat$주민등록번호, function(i) {
ifelse(as.numeric(substr(i,7,7)) %% 2 == 1, "남", "여")
})
Pat <- Pat %>%
cbind(Birth) %>%
rename(생년월일 = Birth) %>%
cbind(Sex) %>%
rename(성별 = Sex)
}
Pat$주민등록번호 <- as.character(Pat$주민등록번호)
return(data.frame(Pat))
}
server <- function(input, output, session) {
auth = "jinseob2kim@gmail.com"
Link = "https://docs.google.com/spreadsheets/d/1G1lPc-N-u3z6kITyr2z3nnyAdf_BKxcLiot7qe_jpKs"
Link2 = "http://docs.google.com/spreadsheets/d/1gKGw7_wzymdq2VTvVBTXUi__dBBKEy_2nzOMIpCxc2I"
Link3 = "http://docs.google.com/spreadsheets/d/16UNiR49u4sJH9uCceNDzmyC62D0TOybf0xKA-JR4EXo"
Survey = "http://docs.google.com/spreadsheets/d/1DRPQLLmQXzM_otTSBd_E1uq2srkO08r3T69rykLoABk"
readData <- function(auth, Link, Link2, Link3, Survey){
Pat <<- reactive({
readPat(auth, Link, Link2, Link3) %>%
inner_join(select(readSurvey(auth, Survey), -c("센터", "이름")), by = c("주민등록번호")) %>%
mutate(보건소 = ifelse(!is.na(보건소명), 보건소명, 보건소))
})
output$tab1 <- renderDataTable({
## 증감 계산 -------------------------------------------------------------
discharged <- Pat() %>%
filter(!is.na(퇴원여부) & `퇴원여부` != 0) %>%
select(이름) %>%
unlist(use.names = FALSE)
newtab <<- Pat() %>%
group_by(이름) %>%
filter(!is.na(체온)) %>%
filter(!is.na(의식저하)) %>%
filter(!is.na(가벼운불안)) %>%
filter(!is.na(호흡곤란)) %>%
filter(!이름 %in% discharged) %>%
filter(날짜 == max(날짜)) %>% # recent data
select(주민등록번호, 이름, 성별, 나이, 센터, 체온지수, 의식지수, 심리지수, 심폐지수, 산소포화도지수, 호흡수지수, 맥박지수, 중증도, 날짜)
temp <- Pat() %>%
group_by(이름) %>%
top_n(2, wt = 날짜) %>%
select(이름, 날짜, 중증도)
newtab$이름 <- as.character(newtab$이름)
change <- sapply(unique(temp$이름), function(i) {
k <- temp %>% filter(이름 == i)
if (nrow(k) == 1) {
return(".")
} # 변화없음
if (k$중증도[2] == k$중증도[1]) {
return(".")
} # 변화없음
if (k$중증도[2] > k$중증도[1]) {
return("+")
} # 증가
return("-") # 감소
})
temp <- data.frame(이름 = names(change), 증감 = change, stringsAsFactors = FALSE, row.names = NULL)
newtab <- newtab %>% inner_join(temp)
newtab <- newtab
newtab <<- newtab
oritab <<- newtab
rm(temp)
########################
# MERGING COLUMN : 8 #
# ORDER COLUMN : 8 #
########################
newtab$이름 <- as.factor(newtab$이름)
newtab$센터 <- as.factor(newtab$센터)
newtab$증감 <- as.factor(newtab$증감)
output$infoboxGroup <- renderUI({
higher <- Pat() %>%
group_by(이름) %>%
filter(날짜 == max(날짜)) %>%
filter(중증도 >= 3) %>%
nrow()
pat <- Pat() %>%
group_by(이름) %>%
filter(날짜 == max(날짜)) %>%
filter(중증도 == 2) %>%
nrow()
lastTime1 <- Pat() %>%
filter(센터 == "자가") %>%
filter(!is.na(체온)) %>%
filter(!is.na(의식저하)) %>%
filter(!is.na(가벼운불안)) %>%
filter(!is.na(호흡곤란)) %>%
filter(날짜 == max(날짜)) %>%
select(날짜)
lastTime2 <- Pat() %>%
filter(센터 == "용인") %>%
filter(!is.na(체온)) %>%
filter(!is.na(의식저하)) %>%
filter(!is.na(가벼운불안)) %>%
filter(!is.na(호흡곤란)) %>%
filter(날짜 == max(날짜)) %>%
select(날짜)
lastTime3 <- Pat() %>%
filter(센터 == "이천") %>%
filter(!is.na(체온)) %>%
filter(!is.na(의식저하)) %>%
filter(!is.na(가벼운불안)) %>%
filter(!is.na(호흡곤란)) %>%
filter(날짜 == max(날짜)) %>%
select(날짜)
if (nrow(lastTime1) == 0) {
lastTime1 <- "데이터 없음"
}
else {
lastTime1 <- lastTime1[, 1]
lastTime1 <- strsplit(lastTime1, "")[[1]]
lastTime1 <- paste0(
as.numeric(paste0(lastTime1[5:6], collapse = "")), "월 ", # 03 -> 3, 10 -> 10
paste0(lastTime1[7:8], collapse = ""), "일 ",
paste0(lastTime1[10:11], collapse = "") # 1차, 2차
)
}
if (nrow(lastTime2) == 0) {
lastTime2 <- "데이터 없음"
}
else {
lastTime2 <- lastTime2[, 1]
lastTime2 <- strsplit(lastTime2, "")[[1]]
lastTime2 <- paste0(
as.numeric(paste0(lastTime2[5:6], collapse = "")), "월 ", # 03 -> 3, 10 -> 10
paste0(lastTime2[7:8], collapse = ""), "일 ",
paste0(lastTime2[10:11], collapse = "") # 1차, 2차
)
}
if (nrow(lastTime3) == 0) {
lastTime3 <- "데이터 없음"
}
else {
lastTime3 <- lastTime3[, 1]
lastTime3 <- strsplit(lastTime3, "")[[1]]
lastTime3 <- paste0(
as.numeric(paste0(lastTime3[5:6], collapse = "")), "월 ", # 03 -> 3, 10 -> 10
paste0(lastTime3[7:8], collapse = ""), "일 ",
paste0(lastTime3[10:11], collapse = "") # 1차, 2차
)
}
tagList(
material_infobox(
width = 3, offset = 1,
contents = paste0(higher, "명"),
Infotitle = "상급의료기관 배정 필요",
Cardcolor = "#ff6363",
boxid = "higherBox"
), # pink
material_infobox(
width = 3, contents = paste0(pat, "명"),
Infotitle = "의료기관 배정 필요",
Cardcolor = "#ff9d9d",
boxid = "patBox"
), # sky
#material_infobox(
# width = 2, contents = lastTime2,
# Infotitle = "업데이트시간(용인)",
# Cardcolor = "#35a4c6",
# boxid = "timeBox1"
#), # green
#material_infobox(
# width = 2, contents = lastTime3,
# Infotitle = "업데이트시간(이천)",
# Cardcolor = "#35a4c6",
# boxid = "timeBox3"
#), # purple
material_infobox(
width = 3, contents = lastTime1,
Infotitle = "업데이트시간(자가)",
Cardcolor = "#35a4c6",
boxid = "timeBox2"
) # purple
)
})
shinyjs::show("unorder")
shinyjs::hide('tab0')
shinyjs::hide('tab2')
shinyjs::hide('note')
shinyjs::hide('pat')
shinyjs::hide('img')
dtobj <- datatable(
newtab,
escape = FALSE,
options = list(
# styleDT : 체온지수, 심폐지수, 의식지수, 심리지수, 중증도, 증감의 인덱스 - 1
rowCallback = styleDT(12, 13),
dom = "tip",
order = list(list(9, "desc")),
pageLength = 50
),
selection = "single",
# filter = "top",
rownames = FALSE
)
dtobj
})
}
# off scientific notation ( 주민번호 )
options(scipen = 999)
## Apply login DB
res_auth <- secure_server(
check_credentials = check_credentials("database.sqlite"),
timeout = 60 * 24 * 30
)
oritab <- ""
newtab <- ""
#Pat <- reactive(readPat())
#Pat <- reactive(rbind(Pat(), readPat2()))
#Survey <- reactive(readSurvey())
readData(auth, Link, Link2, Link3, Survey)
observeEvent(input$timeBox1, {
newtab <<- oritab %>% filter(센터 == "용인")
output$tab1 <- renderDataTable(
datatable(
newtab,
escape = FALSE,
options = list(
# styleDT : 체온지수, 심폐지수, 의식지수, 심리지수, 중증도, 증감의 인덱스 - 1
rowCallback = styleDT(9, 10),
dom = "tip",
order = list(list(9, "desc")),
pageLength = 50
),
selection = "single",
# filter = "top",
rownames = FALSE
)
)
#output$tab1 <- renderDataTable(newtab)
shinyjs::show("resetBox")
shinyjs::hide("unorder")
shinyjs::hide('tab0')
shinyjs::hide("tab2")
shinyjs::hide('note')
shinyjs::hide('pat')
shinyjs::hide('img')
})
observeEvent(input$timeBox2, {
newtab <<- oritab %>% filter(센터 == "자가")
output$tab1 <- renderDataTable(
datatable(
newtab,
escape = FALSE,
options = list(
# styleDT : 체온지수, 심폐지수, 의식지수, 심리지수, 중증도, 증감의 인덱스 - 1
rowCallback = styleDT(9, 10),
dom = "tip",
order = list(list(9, "desc")),
pageLength = 50
),
selection = "single",
# filter = "top",
rownames = FALSE
)
)
#output$tab1 <- renderDataTable( newtab )
shinyjs::show("resetBox")
shinyjs::hide("unorder")
shinyjs::hide('tab0')
shinyjs::hide("tab2")
shinyjs::hide('note')
shinyjs::hide('pat')
shinyjs::hide('img')
})
observeEvent(input$timeBox3, {
newtab <<- oritab %>% filter(센터 == "이천")
output$tab1 <- renderDataTable(
datatable(
newtab,
escape = FALSE,
options = list(
# styleDT : 체온지수, 심폐지수, 의식지수, 심리지수, 중증도, 증감의 인덱스 - 1
rowCallback = styleDT(9, 10),
dom = "tip",
order = list(list(9, "desc")),
pageLength = 50
),
selection = "single",
# filter = "top",
rownames = FALSE
)
)
shinyjs::show("resetBox")
shinyjs::hide("unorder")
shinyjs::hide('tab0')
shinyjs::hide("tab2")
shinyjs::hide('note')
shinyjs::hide('pat')
shinyjs::hide('img')
})
observeEvent(input$reload, {
readData(auth, Link, Link2, Link3, Survey)
})
observeEvent(input$unorder, {
output$tab1 <- renderDataTable(
datatable(
oritab,
escape = FALSE,
options = list(
# styleDT : 체온지수, 심폐지수, 의식지수, 심리지수, 중증도, 증감의 인덱스 - 1
rowCallback = styleDT(9, 10),
dom = "tip",
# order = list(list(9, "desc")),
pageLength = 50
),
selection = "single",
# filter = "top",
rownames = FALSE
)
)
shinyjs::hide('tab0')
shinyjs::hide("tab2")
shinyjs::hide('note')
shinyjs::hide('pat')
shinyjs::hide('img')
}) # 정렬 해제
observeEvent(input$resetBox, { # 초기화
output$tab1 <- renderDataTable(
datatable(
oritab,
escape = FALSE,
options = list(
# styleDT : 체온지수, 심폐지수, 의식지수, 심리지수, 중증도, 증감의 인덱스 - 1
rowCallback = styleDT(9, 10),
dom = "tip",
order = list(list(9, "desc")),
pageLength = 50
),
selection = "single",
# filter = "top",
rownames = FALSE
)
)
shinyjs::hide("resetBox")
shinyjs::show("unorder")
shinyjs::hide('tab0')
shinyjs::hide("tab2")
shinyjs::hide('note')
shinyjs::hide('pat')
shinyjs::hide('img')
})
observeEvent(input$higherBox, { # 중증도 3
shinyjs::show("resetBox")
shinyjs::hide("unorder")
output$tab1 <- renderDataTable({
datatable(
oritab %>% filter(중증도 >= 3),
escape = FALSE,
options = list(
# styleDT : 체온지수, 심폐지수, 의식지수, 심리지수, 중증도, 증감의 인덱스 - 1
rowCallback = styleDT(9, 10),
dom = "tip",
order = list(list(9, "desc")),
pageLength = 50
),
selection = "single",
# filter = "top",
rownames = FALSE
)
})
shinyjs::hide('tab0')
shinyjs::hide("tab2")
shinyjs::hide('note')
shinyjs::hide('pat')
shinyjs::hide('img')