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SamplingBigData
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Download and install SamplingBigData package within the R console
Install from CRAN:
install.packages("SamplingBigData")
Install from Github:
library("remotes")
install_github("cran/SamplingBigData")
Install by package version:
library("remotes")
install_version("SamplingBigData", "1.0.0")
Attach the package and use:
library("SamplingBigData")
Maintained by
Jonathan Lisic
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-09-03
Latest Update: 2018-09-03
Description:
Select sampling methods for probability samples using large data sets. This includes spatially balanced sampling in multi-dimensional spaces with any prescribed inclusion probabilities. All implementations are written in C with efficient data structures such as k-d trees that easily scale to several million rows on a modern desktop computer.
How to cite:
Jonathan Lisic (2018). SamplingBigData: Sampling Methods for Big Data. R package version 1.0.0, https://cran.r-project.org/web/packages/SamplingBigData
Previous versions and publish date:
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Some associated functions: SamplingBigData-package . lpm2_kdtree . split_sample .
Some associated R codes: lpm2_kdtree.R . split.R . Full SamplingBigData package functions and examples
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