do | R Documentation |
do()
provides a natural syntax for repetition tuned to assist
with replication and resampling methods.
do(object, ...)
## S3 method for class 'numeric'
do(object, ...)
## Default S3 method:
do(object, ...)
Do(n = 1L, cull = NULL, mode = "default", algorithm = 1, parallel = TRUE)
## S3 method for class 'repeater'
print(x, ...)
## S4 method for signature 'repeater,ANY'
e1 * e2
object |
an object |
... |
additional arguments |
n |
number of times to repeat |
cull |
function for culling output of objects being repeated. If NULL,
a default culling function is used. The default culling function is
currently aware of objects of types
|
mode |
target mode for value returned |
algorithm |
a number used to select the algorithm used. Currently numbers below 1 use an older algorithm and numbers >=1 use a newer algorithm which is faster in some situations. |
parallel |
a logical indicating whether parallel computation should be attempted using the parallel package (if it is installed and loaded). |
x |
an object created by |
e1 |
an object (in cases documented here, the result of running |
e2 |
an object (in cases documented here, an expression to be repeated) |
do
returns an object of class repeater
which is only useful in
the context of the operator *
. See the examples.
The names used in the object returned from do()
are inferred from the
objects created in each replication. Roughly, this the strategy employed.
If the objects have names, those names are inherited, if possible.
If the objects do not have names, but do()
is used with a simple
function call, the name of that function is used.
Example: do(3) * mean(~height, data = Galton)
produces a data frame with
a variable named mean
.
In cases where names are not easily inferred and a single result is produced,
it is named result
.
To get different names, one can rename the objects as they are created, or
rename the result returned from do()
. Example of the former:
do(3) * c(mean_height = mean(~height, data = resample(Galton)))
.
do
is a thin wrapper around Do
to avoid collision with
dplyr::do()
from the dplyr package.
Daniel Kaplan (kaplan@macalaster.edu) and Randall Pruim (rpruim@calvin.edu)
replicate()
, set.rseed()
do(3) * rnorm(1)
do(3) * "hello"
do(3) * 1:4
do(3) * mean(rnorm(25))
do(3) * lm(shuffle(height) ~ sex + mother, Galton)
do(3) * anova(lm(shuffle(height) ~ sex + mother, Galton))
do(3) * c(sample.mean = mean(rnorm(25)))
# change the names on the fly
do(3) * mean(~height, data = resample(Galton))
do(3) * c(mean_height = mean(~height, data = resample(Galton)))
set.rseed(1234)
do(3) * tally( ~sex|treat, data=resample(HELPrct))
set.rseed(1234) # re-using seed gives same results again
do(3) * tally( ~sex|treat, data=resample(HELPrct))
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