subsample {respR} | R Documentation |
Subsample a data frame object
Description
A simple function that subsamples a data frame or numeric vector in order to "thin" large datasets.
Usage
subsample(x, n = NULL, length.out = NULL, random_start = FALSE, plot = TRUE)
Arguments
x |
data frame or vector. The data to subsample. |
n |
numeric. Subsample every |
length.out |
numeric. Subsample to a specific length or number of rows. |
random_start |
logical. Defaults to FALSE. If TRUE, randomises the start
position from which to start the subsample (applies to |
plot |
logical. Defaults to TRUE. Plots the data. If there are multiple columns in the data frame, only the first two are plotted. Vectors are plotted against a position index. |
Details
Two subsampling methods are provided. The n
input selects every n'th
element or row, or alternatively the length.out
input uniformly subsamples
the data to the desired length.
More
For additional help, documentation, vignettes, and more visit the respR
website at https://januarharianto.github.io/respR/
Value
Returns a subsampled data frame or vector object depending on input.
Examples
# Subsample by every 200th row:
subsample(squid.rd, n = 200)
# Subsample to 100 rows:
subsample(sardine.rd, length.out = 100)
# Subsample with random starting position:
subsample(sardine.rd, n = 20, random_start = TRUE)
# Subsample a vector
subsample(sardine.rd[[2]], n = 20)