Data partition in shiny using caret package

[husain]

...i am working on machine learning project for that need to divide data in training and test .
for that i have used caret package for data partition.
i tried the following code for partition but didnt worked , can anyone tell me what changes i have to make so i can solve and proceed further for same data.
Code i have tried

  
   
 index <- reactive({
     
     createDataPartition(new$student, p = .80,
                                     list = FALSE,
                                     times = 1) 
 train10 <- renderTable({ new[index,]
     train10
 })
 test10 <-renderTable({ new[-index,]
 test10
 })
 })

[pieterjanvc]

Hi,

Although I don't know if the data in the variable new$student is valid, one mistake I see in the code is that you assign a reactive variable index, but when you call it, you don't call it as a reactive variable. You should use the brackets when calling them like so:

new[index(),]

I know it looks a bit weird, but in Shiny, reactive values are functions that store the value.

It's better next time to create a reprex (or create one if this didn't help), so we can more easily test the issue ourselves:

Shiny debugging and reprex guide

Shiny issues can be challenging to resolve relative to other problems with your code or statistical methods. Shiny apps are often large, complex projects with interacting files. When seeking help from others it is considered polite to: First, do your best to work through RStudio's debugging tools to diagnose your issue on your own. Often those shiny logs and tracebacks are useful to others trying to help out. Second, strive to minimize the effort required to replicate your issue. You can do this with a reproducible example ("reprex"). Shiny Debugging Errors in Shiny code can be difficult to track down. If you don't know where your problem is coming from, you can track it down with some o…

Hope this helps,
PJ

[husain]

thank you i tried and able to save in index. how can i get for train10 and test10?