Description Usage Arguments Details See Also Examples
View source: R/sperrorest_resampling.R
represampling_factor_bootstrap
resamples partitions defined by a
factor variable. This can be used for nonoverlapping block bootstraps and
similar.
1 2  represampling_factor_bootstrap(data, fac, repetition = 1, nboot = 1,
seed1 = NULL, oob = FALSE)

data 

fac 
defines a grouping or partitioning of the samples in 
repetition 
numeric vector: crossvalidation repetitions
to be generated. Note that this is not the number of repetitions,
but the indices of these repetitions. E.g., use 
nboot 
number of bootstrap replications used for generating the
bootstrap training sample ( 
seed1 

oob 
if 
nboot
refers to the number of groups
(as defined by the factors) to be drawn with replacement from the set of
groups. I.e., if fac
is a factor variable, nboot
would normally
not be greater than nlevels(fac)
, nlevels(fac)
being the
default as per nboot = 1
.
represampling_disc_bootstrap, represampling_tile_bootstrap
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15  data(ecuador)
# a dummy example for demonstration, performing bootstrap
# at the level of an arbitrary factor variable:
parti < represampling_factor_bootstrap(ecuador,
factor(floor(ecuador$dem / 100)),
oob = TRUE)
# plot(parti,ecuador)
# using the factor bootstrap for a nonoverlapping block bootstrap
# (see also represampling_tile_bootstrap):
fac < partition_tiles(ecuador, return_factor = TRUE, repetition = c(1:3),
dsplit = 500, min_n = 200, rotation = 'random',
offset = 'random')
parti < represampling_factor_bootstrap(ecuador, fac, oob = TRUE,
repetition = c(1:3))
# plot(parti, ecuador)

Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.