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Strange addTaskCallback work in RStudio


Strange addTaskCallback work in RStudio

By : Ram
Date : December 01 2020, 05:00 PM
around this issue addTaskCallback() will add a callback that's executed when R execution returns to the top level. When you're executing code line-by-line, each statement executed will return control to the top level, and callbacks will execute.
When executed within source(), control isn't returned until the call to source() returns, and so the callback is only run once.
code :


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summary() function gives strange results with Knitr/RStudio

summary() function gives strange results with Knitr/RStudio


By : bhavesh y
Date : March 29 2020, 07:55 AM
wish of those help I am currently experiencing some strange problems when processing a simple Markdown script under RStudio. Summary() function gives an incorrect result, and I cannot figure what's happening, because RStudio is not giving any error at all. , Try adding the following to the top of your document:
code :
```{r, echo=FALSE}
options(digits = 7)
```
options()
How can I check whether an expression was an assignment? (in callback passed to `addTaskCallback`)

How can I check whether an expression was an assignment? (in callback passed to `addTaskCallback`)


By : William Try Yono
Date : March 29 2020, 07:55 AM
it helps some times To be able to know if objects have been created, modified or deleted, you could have a summary of the previous state of the .GlobalEnv - a named vector, names are objects names and values are hash values (from the digest package). The following is working but cost a lot when .GlobalEnv contains big R objects (in the get.hash function).
First a function that is calling digest, its argument is an R object name.
code :
get.hash = function( x ){
  require( digest)
  obj = get(x, envir = .GlobalEnv )
  digest( obj, algo = "sha1" )
} # digest call 
# objects to exclude from ls :
obj.exclude = c(".Random.seed") 
.my.callback.fun <- function() {
  old = ls( envir= .GlobalEnv, all.names = TRUE )
  old = setdiff( old, obj.exclude )

  options( "old_desc" = sapply( old, get.hash ) )

  eventHandler <- function(...) {
    # get the previous .GlobalEnv
    old_desc = getOption( "old_desc") # get the previous .GlobalEnv
    old = names( old_desc )

    # list the current .GlobalEnv
    new = ls( envir= .GlobalEnv, all.names = TRUE )
    new = setdiff( new, obj.exclude )
    new_desc = sapply( new, get.hash )

    if (!all( is.element( old,  new ) ) )
      message("deleted objects: "
        , paste( old[!is.element( old, new )], collapse = ", " ) )

    if (!all( is.element( new, old ) ) ) 
      message("new objects: "
        , paste( new[!is.element( new, old )], collapse = ", " ) )

    common_list = intersect(old, new )
    is_equal_test = new_desc[common_list] == old_desc[common_list]
    if( !all( is_equal_test ) )
      message("modified objects: "
        , paste( common_list[!is_equal_test], collapse = ", " ) )

    options( "old_desc" = new_desc )

    TRUE
  }

  invisible(addTaskCallback(f = eventHandler, name = "my_event_handler"))
}
> .my.callback.fun() # start the callback function
Loading required package: digest
> 
> # your R commands here
> x = 1:10
new objects: x
> y = rnorm(100)
new objects: y
> rm( x )
deleted objects: x
> for (i in 1:10) 
+   z = rep(i, 1000 )
new objects: i, z
> rm( z, y )
deleted objects: y, z
> if( TRUE )
+   h = rnorm(1000)
new objects: h
> h = rnorm(1000)
modified objects: h
> fn = function() assign( "x", rnorm(1000), envir = .GlobalEnv )
new objects: fn
> fn()
new objects: x
> 
> iris = iris
new objects: iris
> iris[5,1] = 0.0
modified objects: iris
> 
> removeTaskCallback(id = "my_event_handler" ) # stop the callback function
[1] TRUE
.my.callback.fun <- function() {
  .old <- ls( envir= .GlobalEnv, all.names = TRUE )
  options( "old_ls" = .old )

  eventHandler <- function(...) {
    # list the current .GlobalEnv
    new <- ls( envir= .GlobalEnv, all.names = TRUE )
    old = getOption( "old_ls") # get the previous .GlobalEnv

    if (!all( is.element( old,  new ) ) ) 
      message("deleted objects: ", paste( old[!is.element( old, new )], collapse = ", " ) )

    if (!all( is.element( new, old ) ) )
      message("new objects: ", paste( new[!is.element( new, old )], collapse = ", " ) )

    options( "old_ls" = new )

    TRUE
  }

  invisible(addTaskCallback(f = eventHandler, name = "my_event_handler"))
}
Accented characters strange behaviour - Rstudio

Accented characters strange behaviour - Rstudio


By : Yixuan Chen
Date : March 29 2020, 07:55 AM
I wish this help you It seems like this was a bug in RStudio. I installed the latest version of RStudio and this problem disappeared.
Strange (distortred) output in RStudio notebook in R 3.5.1

Strange (distortred) output in RStudio notebook in R 3.5.1


By : Marcelius Dagpin
Date : March 29 2020, 07:55 AM
it helps some times It appears that this is a bug that affects GUI applications using R 3.5.1 on Windows (e.g. RGui and RStudio). For example, you can see a similar effect with:
code :
x <- 1
print(list())
save(x, file = tempfile())
output <- encodeString("apple")
print(output)
> source('~/encoding.R')
list()
[1] "\002ÿþapple\003ÿþ"
Strange locale problems in RStudio after update to OsX Mojave

Strange locale problems in RStudio after update to OsX Mojave


By : rajesh paschapur
Date : March 29 2020, 07:55 AM
This might help you The same problem appears on my laptop too. However, it is not the first time that r-studio locale kinks after new MAC OS release.
How to fix 'tar: Failed to set default locale' error?
code :
system('defaults write org.R-project.R force.LANG en_US.UTF-8')
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