Sample a vector after sorting the vector and applying the seed, and functions for setting seeds in Rstox.
1 2 3 4 5 6 7 8 9 10 11 12 | sampleSorted(x, size, seed = 0, by = NULL, replace = TRUE,
sorted = TRUE, drop = FALSE)
setSeedSingle(seed)
getSeedV(seed, nboot)
getSeedM(i, seedV, nrow)
expandSeed(seed, nboot)
getSequenceToSampleFrom()
|
x |
A vector or a single integer. |
size |
A non-negative integer giving the number of items to choose. |
seed |
The seed to apply before sampling. |
by |
The name of the column to sample by when sampling rows of a data frame. |
replace |
Should sampling be with replacement? |
sorted |
Should the data be sorted prior to sampling? |
drop |
Should data frames be dropped when sampling? |
nboot |
The number of bootstrap replicates (for the functions used by bootstrapping and imputing). |
i |
The index of the bootstrap replicate to generate seeds for. |
seedV |
A vector of seeds. |
seed |
A single seed. |
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