Multiple Code chunk handler
chunks.Rd
Methods
initialize(envir = new.env())
-
Initializes the object.
: (optional) environment to get objects from to chunks environment \code{envir}
push(x, id)
-
This method adds an expression code chunk or comment code chunk to this object. If no
id
is given a random id is generated.The method needs the parameter \code{x}. In case this is of type \code{call} and the code will be evaluated via \code{eval}. Additionally, the code can be given as a string and a comment will be inserted.
eval()
-
This method applies the
eval_id
method to each code chunk stored inside this object.else it throws a warning. This is due to the This method should not be evaluated multiple times, : fact that multiple evaluations of the following second code snippet is dangerous \itemize{1 }{a <- 2} \item{2 }{a <- a + 1} \item{ }if one tries to evaluate multiple times. \code{eval} evaluates code just once and warn user
get_rcode()
Run
get_rcode_id
for all code chunks inside this object.get_warnings()
Return warnings encountered during execution of the code inside the object.
get_messages()
Return list of warnings encountered during execution of the code inside the object.
eval_info(ids = private$get_call_ids())
Accepts a vector of chunk ids. Returns a list with evaluation information about each chunk (messages, warnings, errors). Default is to hide information about all
chunk_comment
objects. Pass chunk ids to see information about specific ids.reset()
Delete all chunks handles inside this stack and reset environment.
info()
Print all private content. Used for debugging only.
info_msg()
Get an information about how the evaluation of the chunk stack went. Most useful if
is_ok()
returnsFALSE
.get(var, inherits = FALSE)
Returns variable from chunks environment. For more information see get.
is_ok()
Checks if all chunks are evaluated and if there is any error.
get_eval_msg()
Returns error message if there is any error.
validate_is_ok(msg)
Return
shiny's
validation error with custom message ifis_ok
returnsFALSE
.validate_is(var, class, msg)
Return
shiny's
validation error with custom message ifvar
is not of classclass
.validate_all(var, class, msg)
Return
shiny's
validation error with custom message ifis_ok
returnsFALSE
orvar
is not of classclass
.ls(all.names = FALSE)
Return a vector of bindings present in the environment of a chunks object. See ls for more information.
get_reactive_summary()
Return a
shiny::reactiveValues
object with three elements:msgs
,warnings
,errors
. Each element is a logical vector with values corresponding tochunk
objects insidechunks
.TRUE
in themsgs
vector indicates at least one message was returned in a corresponding chunk.TRUE
in thewarnings
vector indicates at least one warning was returned.TRUE
in theerrors
vector indicates an error was thrown.
Examples
x <- chunks$new()
x$push(id = "test_1", x = call("print", 1))
res <- x$eval()
#> [1] 1
res
#> [1] 1
x$push(id = "test_2", x = call("print", 2))
x$push(id = "test_3", x = call("print", 3))
res <- x$eval()
#> [1] 2
#> [1] 3
res
#> [1] 3
# Below gives a warning
if (FALSE) {
chunks_eval(chunks = x)
}
x$push(id = "test_4", x = call("print", 4))
x$get_rcode()
#> test_1 test_2 test_3 test_4
#> "print(1)" "print(2)" "print(3)" "print(4)"
x$get_rcode()
#> test_1 test_2 test_3 test_4
#> "print(1)" "print(2)" "print(3)" "print(4)"
# Error handling
x$push(id = "test_error", x = call("stop", "test"))
x$eval() # returns NULL, does not rise an error
#> [1] 4
x$is_ok() # FALSE
#> [1] FALSE
x$info_msg()
#> [1] "The following errors(s) occurred:\ntest\n\nwhen evaluating the following code:\nstop(\"test\")\n"
# Below used inside shiny apps
if (FALSE) {
x$validate_is_ok("This is my custom error message")
}
x$info()
#> $envir
#> <environment: 0x5647aca00188>
#>
#> $id
#> [1] "test_1" "test_2" "test_3" "test_4" "test_error"
#>
#> $is_evaluated
#> [1] TRUE TRUE TRUE TRUE TRUE
#>
#> $is_remaining
#> [1] FALSE FALSE FALSE FALSE FALSE
#>
#> $is_error
#> [1] FALSE FALSE FALSE FALSE TRUE
#>
#> $is_warning
#> [1] FALSE FALSE FALSE FALSE FALSE
#>
#> $is_message
#> [1] FALSE FALSE FALSE FALSE FALSE
#>
#> $eval_msg
#> [1] "The following errors(s) occurred:\ntest\n\nwhen evaluating the following code:\nstop(\"test\")\n"
#>
#> $code_chunks
#> $code_chunks[[1]]
#> <chunk_call>
#> Public:
#> clone: function (deep = FALSE)
#> eval: function (envir = parent.frame())
#> get_errors: function ()
#> get_eval_info: function ()
#> get_messages: function ()
#> get_rcode: function (envir = parent.frame())
#> get_warnings: function ()
#> info: function ()
#> info_msg: function ()
#> initialize: function (expression = NULL)
#> is_errors: function ()
#> is_evaluated: function ()
#> is_messages: function ()
#> is_ok: function ()
#> is_warnings: function ()
#> reset: function ()
#> Private:
#> .is_errors: FALSE
#> .is_evaluated: TRUE
#> .is_messages: FALSE
#> .is_warnings: FALSE
#> deparse: function (x)
#> errors:
#> eval_msg:
#> expression: call
#> messages:
#> set_expression: function (expression)
#> warnings:
#>
#> $code_chunks[[2]]
#> <chunk_call>
#> Public:
#> clone: function (deep = FALSE)
#> eval: function (envir = parent.frame())
#> get_errors: function ()
#> get_eval_info: function ()
#> get_messages: function ()
#> get_rcode: function (envir = parent.frame())
#> get_warnings: function ()
#> info: function ()
#> info_msg: function ()
#> initialize: function (expression = NULL)
#> is_errors: function ()
#> is_evaluated: function ()
#> is_messages: function ()
#> is_ok: function ()
#> is_warnings: function ()
#> reset: function ()
#> Private:
#> .is_errors: FALSE
#> .is_evaluated: TRUE
#> .is_messages: FALSE
#> .is_warnings: FALSE
#> deparse: function (x)
#> errors:
#> eval_msg:
#> expression: call
#> messages:
#> set_expression: function (expression)
#> warnings:
#>
#> $code_chunks[[3]]
#> <chunk_call>
#> Public:
#> clone: function (deep = FALSE)
#> eval: function (envir = parent.frame())
#> get_errors: function ()
#> get_eval_info: function ()
#> get_messages: function ()
#> get_rcode: function (envir = parent.frame())
#> get_warnings: function ()
#> info: function ()
#> info_msg: function ()
#> initialize: function (expression = NULL)
#> is_errors: function ()
#> is_evaluated: function ()
#> is_messages: function ()
#> is_ok: function ()
#> is_warnings: function ()
#> reset: function ()
#> Private:
#> .is_errors: FALSE
#> .is_evaluated: TRUE
#> .is_messages: FALSE
#> .is_warnings: FALSE
#> deparse: function (x)
#> errors:
#> eval_msg:
#> expression: call
#> messages:
#> set_expression: function (expression)
#> warnings:
#>
#> $code_chunks[[4]]
#> <chunk_call>
#> Public:
#> clone: function (deep = FALSE)
#> eval: function (envir = parent.frame())
#> get_errors: function ()
#> get_eval_info: function ()
#> get_messages: function ()
#> get_rcode: function (envir = parent.frame())
#> get_warnings: function ()
#> info: function ()
#> info_msg: function ()
#> initialize: function (expression = NULL)
#> is_errors: function ()
#> is_evaluated: function ()
#> is_messages: function ()
#> is_ok: function ()
#> is_warnings: function ()
#> reset: function ()
#> Private:
#> .is_errors: FALSE
#> .is_evaluated: TRUE
#> .is_messages: FALSE
#> .is_warnings: FALSE
#> deparse: function (x)
#> errors:
#> eval_msg:
#> expression: call
#> messages:
#> set_expression: function (expression)
#> warnings:
#>
#> $code_chunks[[5]]
#> <chunk_call>
#> Public:
#> clone: function (deep = FALSE)
#> eval: function (envir = parent.frame())
#> get_errors: function ()
#> get_eval_info: function ()
#> get_messages: function ()
#> get_rcode: function (envir = parent.frame())
#> get_warnings: function ()
#> info: function ()
#> info_msg: function ()
#> initialize: function (expression = NULL)
#> is_errors: function ()
#> is_evaluated: function ()
#> is_messages: function ()
#> is_ok: function ()
#> is_warnings: function ()
#> reset: function ()
#> Private:
#> .is_errors: TRUE
#> .is_evaluated: TRUE
#> .is_messages: FALSE
#> .is_warnings: FALSE
#> deparse: function (x)
#> errors: test
#> eval_msg: test
#> expression: call
#> messages:
#> set_expression: function (expression)
#> warnings:
#>
#>
#> $latest_result
#> NULL
#>
# Analysis Example
x <- chunks$new()
x$push("# Prepare Data")
x$push(quote(x <- iris$Sepal.Length))
x$push(quote({
y <- iris$Petal.Length
{
col <- iris$Species
}
}))
x$eval()
#> [1] setosa setosa setosa setosa setosa setosa
#> [7] setosa setosa setosa setosa setosa setosa
#> [13] setosa setosa setosa setosa setosa setosa
#> [19] setosa setosa setosa setosa setosa setosa
#> [25] setosa setosa setosa setosa setosa setosa
#> [31] setosa setosa setosa setosa setosa setosa
#> [37] setosa setosa setosa setosa setosa setosa
#> [43] setosa setosa setosa setosa setosa setosa
#> [49] setosa setosa versicolor versicolor versicolor versicolor
#> [55] versicolor versicolor versicolor versicolor versicolor versicolor
#> [61] versicolor versicolor versicolor versicolor versicolor versicolor
#> [67] versicolor versicolor versicolor versicolor versicolor versicolor
#> [73] versicolor versicolor versicolor versicolor versicolor versicolor
#> [79] versicolor versicolor versicolor versicolor versicolor versicolor
#> [85] versicolor versicolor versicolor versicolor versicolor versicolor
#> [91] versicolor versicolor versicolor versicolor versicolor versicolor
#> [97] versicolor versicolor versicolor versicolor virginica virginica
#> [103] virginica virginica virginica virginica virginica virginica
#> [109] virginica virginica virginica virginica virginica virginica
#> [115] virginica virginica virginica virginica virginica virginica
#> [121] virginica virginica virginica virginica virginica virginica
#> [127] virginica virginica virginica virginica virginica virginica
#> [133] virginica virginica virginica virginica virginica virginica
#> [139] virginica virginica virginica virginica virginica virginica
#> [145] virginica virginica virginica virginica virginica virginica
#> Levels: setosa versicolor virginica
x$get("col")[1:5]
#> [1] setosa setosa setosa setosa setosa
#> Levels: setosa versicolor virginica
if (FALSE) {
x$get("mean") # should not scope in getter
}
x$push("") # newline
x$push("# Analysis")
x$push(quote(plot(x, y, col = col)))
x$is_ok()
#> [1] FALSE
x$eval()
#> NULL
x$is_ok() # now all chunks were evaluated and no errors occured
#> [1] TRUE
cat(paste(x$get_rcode(), collapse = "\n"))
#> # Prepare Data
#> x <- iris$Sepal.Length
#> y <- iris$Petal.Length
#> col <- iris$Species
#>
#> # Analysis
#> plot(x, y, col = col)