hyperSpec (version 0.98-20161118)

sample,hyperSpec-method: Random Samples and Permutations Take a sample of the specified size from the elements of x with or without replacement.

Description

Random Samples and Permutations Take a sample of the specified size from the elements of x with or without replacement.

isample returns an vector of indices, sample returns the corresponding hyperSpec object.

Usage

# S4 method for hyperSpec
sample(x, size = nrow(x), replace = FALSE,
  prob = NULL)
isample(x, size = nrow(x), replace = FALSE, prob = NULL)
# S4 method for data.frame
sample(x, size = nrow(x), replace = FALSE,
  prob = NULL, drop = FALSE)
# S4 method for matrix
sample(x, size = nrow(x), replace = FALSE, prob = NULL,
  drop = FALSE)

Arguments

x

The hyperSpec object, data.frame or matrix to sample fromto sample from

size

positive integer giving the number of spectra (rows) to choose.

replace

Should sampling be with replacement?

prob

A vector of probability weights for obtaining the elements of the vector being sampled.

drop

see drop: by default, do not drop dimensions of the result

Value

a hyperSpec object, data.frame or matrix with size rows for sample, and an integer vector for isample that is suitable for indexing (into the spectra) of x.

vector with indices suitable for row-indexing x

See Also

sample

Examples

# NOT RUN {
sample (flu, 3)

plot (flu, col = "darkgray")
plot (sample (flu, 3), col = "red", add = TRUE)

plot (flu, col = "darkgray")
plot (sample (flu, 3, replace = TRUE), col = "#0000FF80", add = TRUE,
      lines.args = list (lwd = 2));

isample (flu, 3)
isample (flu, 3, replace = TRUE)
isample (flu, 8, replace = TRUE)
sample (cars, 2)
sample (matrix (1:24, 6), 2)
# }