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Resampling Techniques in R

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An introduction to resampling techniques in the R programming language, including bootstrapping and permutation testing.
"Resampling techniqes" refers to the statistical methods that use the observed data to produce new hypothetical samples (resamples or shuffles of the data) that mimic the underlying population, which can inform the precision/accuracy or significance of other statistics performed on the data.
"Resampling techniqes" refers to the statistical methods that use the observed data to produce new hypothetical samples (resamples or shuffles of the data) that mimic the underlying population, which can inform the precision/accuracy or significance of other statistics performed on the data.