Shiny: Manipulate dataframe and use in multiple outputs

Question

In my shiny app, I have the user input a CSV file using fileInput. When that file is input into my file, I want to create a dataframe df, and create further subsets of this dataframe. How can I create and use the dataframe and subsets in multiple outputs, such as creating multiple plots with the dataframe?

I want to perform the following actions on the imported CSV file and then use the dataframe in subsets in multiple outputs.

How can I use the variables and subset data in multiple outputs?

You need to create reactive objects that the output can use to get updated data. It would be easier to help you if you had a [reproducible example](https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example) that could be used for testing that doesn't necessarily involved having a specific CSV file on our computer. — MrFlick, Apr 02 '18 at 22:44

Carlos Santillan · Accepted Answer · 2018-04-03T21:49:08.107

maybe you want something like

myDF <- reactive({
df <- read.csv(inFile$datapath, header = TRUE, sep = ",")
# Convert df[1] from Factor to Character
i <- sapply(df, is.factor)
df[i] <- lapply(df[i], as.character)

df[, c(1, 28:29)]
})



  # Extract Depth From df[1]
  readingdepth <- c(word(myDF()[,1],-1))
  readingdepth = as.numeric(readingdepth)


  # Create .5 Foot Marker
  halfdepth <- c(readingdepth + .5)
  well <- c(word(myDF()[,1],1,-2))

Shiny: Manipulate dataframe and use in multiple outputs

1 Answers1