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## ----include = FALSE----------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
eval = rlang::is_installed("modeldata")
)
## ----setup--------------------------------------------------------------------
library(rsample)
## ----message=FALSE------------------------------------------------------------
library(dplyr)
## -----------------------------------------------------------------------------
data(ames, package = "modeldata")
head(ames, 2)
## -----------------------------------------------------------------------------
data(Chicago, package = "modeldata")
head(Chicago, 2)
## -----------------------------------------------------------------------------
head(Orange, 2)
## -----------------------------------------------------------------------------
set.seed(123)
## -----------------------------------------------------------------------------
initial_split(ames)
## -----------------------------------------------------------------------------
initial_split(ames, prop = 0.8)
## -----------------------------------------------------------------------------
resample <- initial_split(ames, prop = 0.6)
head(training(resample), 2)
head(testing(resample), 2)
## -----------------------------------------------------------------------------
vfold_cv(ames, v = 2)
## -----------------------------------------------------------------------------
vfold_cv(ames, v = 2, repeats = 2)
## -----------------------------------------------------------------------------
mc_cv(ames, prop = 0.8, times = 2)
## -----------------------------------------------------------------------------
bootstraps(ames, times = 2)
## -----------------------------------------------------------------------------
three_way_split <- initial_validation_split(ames, prop = c(0.6, 0.2))
three_way_split
## -----------------------------------------------------------------------------
validation_set(three_way_split)
## -----------------------------------------------------------------------------
vfold_cv(ames, v = 2, strata = Sale_Price)
## -----------------------------------------------------------------------------
vfold_cv(ames, v = 2, strata = Sale_Price, breaks = 100)
## -----------------------------------------------------------------------------
resample <- group_initial_split(Orange, group = Tree)
unique(training(resample)$Tree)
unique(testing(resample)$Tree)
## -----------------------------------------------------------------------------
set.seed(1)
group_bootstraps(ames, Neighborhood, times = 2)
## -----------------------------------------------------------------------------
group_vfold_cv(ames, Neighborhood, balance = "observations", v = 2)
## -----------------------------------------------------------------------------
initial_time_split(Chicago)
initial_validation_time_split(Chicago)
## -----------------------------------------------------------------------------
sliding_window(Chicago) %>%
head(2)
## -----------------------------------------------------------------------------
sliding_index(Chicago, date) %>%
head(2)
## -----------------------------------------------------------------------------
sliding_period(Chicago, date, "year") %>%
head(2)
## -----------------------------------------------------------------------------
rolling_origin(Chicago) %>%
head(2)
|
