Welcome
Illya Mowerman
6/4/2018
install.packages('shiny')
install.packages('shinydashboard')
install.packages('tidyverse')ui: what the user sees, and where they interact with the app
server: the engine behind the app
ui <- fluidPage(
# App title ----
titlePanel(" "),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel( ),
# Main panel for displaying outputs ----
mainPanel( )
)
)
server <- function(input, output) { }
shinyApp(ui, server)library(tidyverse)
hist_var <- 'mpg'
hist_title <- 'my title'
ggplot(mtcars) +
geom_histogram(aes_string(hist_var)) +
labs(title = hist_title)
The “thing” is to create paramerized code
UI
selectInput(inputId, label, choices)
Server
When calling the value of the input, simply use input$inputId. Where inputId is the name you gave it.
textInput(inputId, label, value = "", width = NULL, placeholder = NULL)library(tidyverse)
min_mpg <- 20
max_mpg <- 25
mtcars %>%
filter(mpg >= min_mpg , mpg <= max_mpg)## mpg cyl disp hp drat wt qsec vs am gear carb
## 1 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
## 2 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
## 3 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
## 4 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
## 5 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
## 6 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
## 7 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
## 8 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2sliderInput(inputId, label, min, max, value, step = NULL, round = FALSE,
format = NULL, locale = NULL, ticks = TRUE, animate = FALSE,
width = NULL, sep = ",", pre = NULL, post = NULL, timeFormat = NULL,
timezone = NULL, dragRange = TRUE)UI
fileInput(inputId, label, multiple = FALSE, accept = NULL, width = NULL,
buttonLabel = "Browse...", placeholder = "No file selected")Server
server <- function(input, output) {
output$contents <- renderTable({
# input$file1 will be NULL initially. After the user selects
# and uploads a file, it will be a data frame with 'name',
# 'size', 'type', and 'datapath' columns. The 'datapath'
# column will contain the local filenames where the data can
# be found.
inFile <- input$file1
if (is.null(inFile))
return(NULL)
read.csv(inFile$datapath, header = input$header)
})
}