daattali

library(shiny)
library(gmailr)

ui <- fluidPage(
  textInput("subj", "Subject", "Schedule change"),
  textInput("text", "Message"),
  actionButton("btn", "Send")
)

server <- function(input, output, session) {

daattali

# This script uploads all the FAST files to the taxonomer server (only one file can be uploaded at a time)
# Assumes that you have RSelenium package installed and that you've got a simple selenium example to work

if (FALSE) {
  fastq_files <- c(
    list.files(# WHERE ARE THE FILES?, pattern = "fastq.gz$", full.names = TRUE)
  )
  login_password <- "" # what is my password???
  
  library(RSelenium)

daattali

library(shiny)
library(datasets)

Logged = FALSE;
PASSWORD <- data.frame(Brukernavn = "withr", Passord = "25d55ad283aa400af464c76d713c07ad")
# Define server logic required to summarize and view the selected dataset
shinyServer(function(input, output) {
  source("www/Login.R",  local = TRUE)
  
  observe({

daattali

# Disclaimer: I'm a noob at NSE and this implementation is just something I whipped up in 5 minutes at 3am.
# So if it's terrible, no judging!

library(shiny)
library(ggplot2)

ui <- fluidPage(
  colourpicker::colourInput("col", "Select colour", "red"),
  plotOutput("plot"),
  verbatimTextOutput("code")

daattali

# http://bootstrap-tagsinput.github.io/bootstrap-tagsinput/examples/

library(shiny)

tagsinput <- function(tag) {
  tag$children[[2]] <- tagAppendAttributes(tag$children[[2]],
                                           `data-role` = "tagsinput")
  tag
}

daattali

# This can be improved in a few ways easily:
# - make this into a function so you don't need to know all the parameters
# - use CSS to not show the dropdown that keeps popping up to "add" each item

library(shiny)
ui <- fluidPage(
  selectizeInput("select", "Select", c(),
                 multiple = TRUE, options = list(
                   'create' = TRUE,
                   'persist' = FALSE)

daattali

library(shiny)

ui <- fluidPage(
  tabsetPanel(
    id = "maintabs",
    tabPanel(
      "tab1",
      "Current time is",
      textOutput("time_out", inline = TRUE)
    ),

daattali

library(shiny)

ui <- fluidPage(
  shinyjs::useShinyjs(),
  
  # You have to include this one-liner CSS
  tags$style(".fullwidth { width: 100% !important; }"),
  
  # You need to wrap the sidebarLayout() by a div() and give it an ID
  div(id = "SOMEID",

daattali

# I'm trying to let the user select points and paint them in a certain colour, and if the user clicks on a point then paint that point a different colour.
# It looks like the pointNumber and curveNumber data that plotly returns are different for the same points. I'm not sure how curveNumber works, but to me it doesn't make sense yet :)
# Any help is appreciated!

library(plotly)
library(shiny)

ui <- fluidPage(
  plotlyOutput("plot")
)

daattali

# Clicking on a single point seems to clear the lasso selection. But the opposite is not true: doing a lasso selection still keeps the clicked point information.
# To reproduce:
# - Click a single point
# - Do a lasso selection
# - Both are currently visible
# - Click a different point
# - Now the lasso selection information is gone
# - Do a lasso selection again, both are visible again

library(shiny)