Evaluate code in qenv
Usage
eval_code(object, code)
# S3 method for class 'qenv'
within(data, expr, ...)
Arguments
- object
(
qenv
)- code
(
character
,language
orexpression
) code to evaluate. It is possible to preserve original formatting of thecode
by providing acharacter
or anexpression
being a result ofparse(keep.source = TRUE)
.- data
(
qenv
)- expr
(
expression
) to evaluate. Must be inline code, seeUsing language objects...
- ...
named argument value will substitute a symbol in the
expr
matched by the name. For practical usage see Examples section below.
Details
eval_code()
evaluates given code in the qenv
environment and appends it to the code
slot.
Thus, if the qenv
had been instantiated empty, contents of the environment are always a result of the stored code.
within()
is a convenience method that wraps eval_code
to provide a simplified way of passing expression.
within
accepts only inline expressions (both simple and compound) and allows to substitute expr
with ...
named argument values.
Using language objects with within
Passing language objects to expr
is generally not intended but can be achieved with do.call
.
Only single expression
s will work and substitution is not available. See examples.
Examples
# evaluate code in qenv
q <- qenv()
q <- eval_code(q, "a <- 1")
q <- eval_code(q, "b <- 2L # with comment")
q <- eval_code(q, quote(library(checkmate)))
q <- eval_code(q, expression(assert_number(a)))
# evaluate code using within
q <- qenv()
q <- within(q, {
i <- iris
})
q <- within(q, {
m <- mtcars
f <- faithful
})
q
#> <environment: 0x5577d2175498> 🔒
#> Parent: <environment: package:checkmate>
#> Bindings:
#> - f: [data.frame]
#> - i: [data.frame]
#> - m: [data.frame]
get_code(q)
#> [1] "i <- iris\nm <- mtcars\nf <- faithful"
# inject values into code
q <- qenv()
q <- within(q, i <- iris)
within(q, print(dim(subset(i, Species == "virginica"))))
#> [1] 50 5
#> <environment: 0x5577d2a97128> 🔒
#> Parent: <environment: package:checkmate>
#> Bindings:
#> - i: [data.frame]
within(q, print(dim(subset(i, Species == species)))) # fails
#> <qenv.error: object 'species' not found
#> when evaluating qenv code:
#> print(dim(subset(i, Species == species)))>
within(q, print(dim(subset(i, Species == species))), species = "versicolor")
#> [1] 50 5
#> <environment: 0x5577cfa3b5a8> 🔒
#> Parent: <environment: package:checkmate>
#> Bindings:
#> - i: [data.frame]
species_external <- "versicolor"
within(q, print(dim(subset(i, Species == species))), species = species_external)
#> [1] 50 5
#> <environment: 0x5577ce13d8d0> 🔒
#> Parent: <environment: package:checkmate>
#> Bindings:
#> - i: [data.frame]
# pass language objects
expr <- expression(i <- iris, m <- mtcars)
within(q, expr) # fails
#> <qenv.error: object 'expr' not found
#> when evaluating qenv code:
#> expr>
do.call(within, list(q, expr))
#> <environment: 0x5577d17d2158> 🔒
#> Parent: <environment: package:checkmate>
#> Bindings:
#> - i: [data.frame]
#> - m: [data.frame]
exprlist <- list(expression(i <- iris), expression(m <- mtcars))
within(q, exprlist) # fails
#> <qenv.error: object 'exprlist' not found
#> when evaluating qenv code:
#> exprlist>
do.call(within, list(q, do.call(c, exprlist)))
#> <environment: 0x5577d1f90f60> 🔒
#> Parent: <environment: package:checkmate>
#> Bindings:
#> - i: [data.frame]
#> - m: [data.frame]