single_rarefy: Rarefy samples in a taxa table
In leffj/mctoolsr: Microbial Community Data Analysis Tools
View source: R/normalization.R
single_rarefy R Documentation
Rarefy samples in a taxa table
Description
Rarefying means to randomly select a specified number of
observations from each sample. This approach is used to normalize for
differences in the number of observations (i.e. sequencing depth) across
samples. Samples with fewer observations (sequences) than the specified
depth will be removed.
Usage
single_rarefy(input, depth)
Arguments
input
The input dataset as loaded by load_taxa_table.
depth
The number of observations to randomly select for each sample.
Value
Will return a dataset list similar to the input.
Examples
single_rarefy(fruits_veggies, 1000)
leffj/mctoolsr documentation built on Aug. 5, 2022, 1:27 a.m.
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View source: R/normalization.R
| single_rarefy | R Documentation |
Rarefy samples in a taxa table
Description
Rarefying means to randomly select a specified number of observations from each sample. This approach is used to normalize for differences in the number of observations (i.e. sequencing depth) across samples. Samples with fewer observations (sequences) than the specified depth will be removed.
Usage
single_rarefy(input, depth)
Arguments
input |
The input dataset as loaded by |
depth |
The number of observations to randomly select for each sample. |
Value
Will return a dataset list similar to the input.
Examples
single_rarefy(fruits_veggies, 1000)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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