Attach | R Documentation |
The behaviour of this function is very similar to attach
,
however it is environment specific, and
therefore only remains defined in a given function rather than in the Global Environment.
Hence, this function is much safer to use than the attach
, which
incidentally should never be used in your code. This
is useful primarily as a convenience function when you prefer to call the variable names
in condition
directly rather than indexing with condition$sample_size
or
with(condition, sample_size)
, for example.
Attach(..., omit = NULL, check = TRUE, attach_listone = TRUE)
... |
a comma separated list of |
omit |
an optional character vector containing the names of objects that should not
be attached to the current environment. For instance, if the objects named 'a' and 'b' should
not be attached then use |
check |
logical; check to see if the function will accidentally replace previously defined
variables with the same names as in |
attach_listone |
logical; if the element to be assign is a list of length one
then assign the first element of this list with the associated name. This generally avoids
adding an often unnecessary list 1 index, such as |
Phil Chalmers rphilip.chalmers@gmail.com
Chalmers, R. P., & Adkins, M. C. (2020). Writing Effective and Reliable Monte Carlo Simulations
with the SimDesign Package. The Quantitative Methods for Psychology, 16
(4), 248-280.
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.20982/tqmp.16.4.p248")}
Sigal, M. J., & Chalmers, R. P. (2016). Play it again: Teaching statistics with Monte
Carlo simulation. Journal of Statistics Education, 24
(3), 136-156.
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/10691898.2016.1246953")}
runSimulation
, Generate
## Not run:
# does not use Attach()
Generate <- function(condition, fixed_objects = NULL) {
N1 <- condition$sample_sizes_group1
N2 <- condition$sample_sizes_group2
sd <- condition$standard_deviations
group1 <- rnorm(N1)
group2 <- rnorm(N2, sd=sd)
dat <- data.frame(group = c(rep('g1', N1), rep('g2', N2)),
DV = c(group1, group2))
dat
}
# similar to above, but using the Attach() function instead of indexing
Generate <- function(condition, fixed_objects = NULL) {
Attach(condition)
N1 <- sample_sizes_group1
N2 <- sample_sizes_group2
sd <- standard_deviations
group1 <- rnorm(N1)
group2 <- rnorm(N2, sd=sd)
dat <- data.frame(group = c(rep('g1', N1), rep('g2', N2)),
DV = c(group1, group2))
dat
}
## End(Not run)
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