TakeCareApp/app/profil_module.R

153 lines
3.5 KiB
R

library(shiny)
library(magrittr)
library(ggplot2)
library(plotly)
library(DT)
profilUI <- function(id) {
ns <- NS(id)
fluidPage(
useShinyjs(),
tags$head(
tags$script(src="js.cookie.js"),
tags$style(HTML("
@import url('//fonts.googleapis.com/css?family=Lobster|Cabin:400,700');
@import url('//fonts.googleapis.com/css2?family=Fjalla+One');
"))),
theme = "style.css",
# App title ----
uiOutput("afterLogin"),
fluidRow(
column(12,
tags$span("© Copyright Wszystkie prawa zastrzeżone."))%>% tagAppendAttributes(id = 'column-copyright'),
)%>% tagAppendAttributes(id = 'row-footer')
)}
profilServer <- function(input, output,session) {
observe({
if(( (session$clientData)$url_hash=="#!/profil")){
if( (is.null(input$token) | length(input$token)<=0 )){
shinyjs::runjs('window.location.replace(\'/#!/home\');')
}
}
})
output$afterLogin<-renderUI({
if(!is.null(input$token) & length(input$token)>0 ){
fluidRow(
column(3,
tags$div("Panel sterowania") %>% tagAppendAttributes(class="panel-title")
)%>% tagAppendAttributes(id = 'column-panel'),
column(9,
tabsetPanel(type = "tabs",
tabPanel("Zakładka 1", tags$div(plotlyOutput("plot1",height = "auto"))%>% tagAppendAttributes(class = 'content-wrapper')),
tabPanel("Zakładka 2", tags$div(plotlyOutput("plot2",height = "auto"))%>% tagAppendAttributes(class = 'content-wrapper')),
tabPanel("Zakładka 3", tags$div(plotlyOutput("plot3",height = "auto"))%>% tagAppendAttributes(class = 'content-wrapper')),
tabPanel("Zakładka 4", tags$div(plotlyOutput("plot4",height = "auto"))%>% tagAppendAttributes(class = 'content-wrapper')),
tabPanel("Zakładka 5", tags$div(DT::dataTableOutput("table1",height = "auto"))%>% tagAppendAttributes(class = 'content-wrapper'))
))%>% tagAppendAttributes(id = 'column-content')
) %>% tagAppendAttributes(id = 'row-content')
}else{
}
})
output$plot1 <- renderPlotly({
g<-ggplot(mpg) +
geom_point(mapping = aes(x = displ, y = hwy))
gg<-ggplotly(g)
gg
})
output$plot2 <- renderPlotly({
g<-ggplot(data = mpg, mapping = aes(x = cty, y = hwy)) +
geom_jitter()
gg<-ggplotly(g)
gg
})
output$plot3 <- renderPlotly({
g<-ggplot(data = mpg, mapping = aes(x = displ, y = hwy, color = drv)) +
geom_point() +
geom_smooth(se = FALSE)
gg<-ggplotly(g)
gg
})
output$plot4 <- renderPlotly({
g<-ggplot(data = mpg, mapping = aes(x = displ, y = hwy)) +
geom_point(mapping = aes(color=drv)) +
geom_smooth(se = FALSE)
gg<-ggplotly(g)
gg
})
pl <- list(
sSearch = "Szukaj",
sInfo="Wyniki od _START_ do _END_ z _TOTAL_ rekordów",
sZeroRecords="Brak rekordów",
sEmptyTable="Pusta tabela",
oPaginate= list(
sFirst="Pierwsza", sPrevious="Poprzednia",sLast="Ostatnia", sNext="Następna"
),
sLengthMenu = "Pokaż _MENU_ rekordów na stronie"
)
output$table1 <- DT::renderDataTable(iris,options = list(scrollX = TRUE,language=pl))
}