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Sample a percentage of a time series

Source: R/sits_sample_functions.R
sits_sample.Rd

Takes a sits tibble with different labels and returns a new tibble. For a given field as a group criterion, this new tibble contains a percentage of the total number of samples per group. If frac > 1 , all sampling will be done with replacement.

Usage

sits_sample(data, frac = 0.2, oversample = TRUE)

Arguments

data

Sits time series tibble

frac

Percentage of samples to extract (range: 0.0 to 2.0, default = 0.2)

oversample

Logical: oversample classes with small number of samples? (TRUE/FALSE)

Value

A sits tibble with a fixed quantity of samples.

Author

Rolf Simoes, rolfsimoes@gmail.com

Examples

# Retrieve a set of time series with 2 classes
data(cerrado_2classes)
# Print the labels of the resulting tibble
summary(cerrado_2classes)
#> # A tibble: 2 × 3
#>   label   count  prop
#>   <chr>   <int> <dbl>
#> 1 Cerrado   400 0.536
#> 2 Pasture   346 0.464
# Sample by fraction
data_02 <- sits_sample(cerrado_2classes, frac = 0.2)
# Print the labels
summary(data_02)
#> # A tibble: 2 × 3
#>   label   count  prop
#>   <chr>   <int> <dbl>
#> 1 Cerrado    80 0.537
#> 2 Pasture    69 0.463