online.quantile: online.quantile Quantile normalization tools for online...
In microbiome/RPA: RPA: Robust Probabilistic Averaging for probe-level analysis
online.quantile R Documentation
online.quantile
Quantile normalization tools for online preprocessing. Estimate quantiles for quantile normalization based on subset of the data (random, or specified by the user).
Description
online.quantile
Quantile normalization tools for online preprocessing. Estimate quantiles for quantile normalization based on subset of the data (random, or specified by the user).
Usage
online.quantile(abatch, n)
Arguments
abatch
AffyBatch
n
Numeric: number of random samples to use to define quantile basis. Vector: specify samples to be used in quantile basis calculation.
Details
"online.quantile": Ordinary quantile normalization is exhaustively memory-consuming in alrge data sets. Then the quantiles can be calculated based on subset of the data to allow efficient normalization. This function can also be used to investigate effect of subset size to convergence of the quantile estimates;"qnorm.basis.online": sweeps through the data in batches to calculate the basis for quantile normalization (average over sorted profiles).
Value
"online.quantile": AffyBatch; "qnorm.basis.online": a vector containing the basis for quantile normalization.
Author(s)
Leo Lahti leo.lahti@iki.fi
References
See citation("RPA")
Examples
#
microbiome/RPA documentation built on April 9, 2023, 10:59 a.m.
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.
| online.quantile | R Documentation |
online.quantile Quantile normalization tools for online preprocessing. Estimate quantiles for quantile normalization based on subset of the data (random, or specified by the user).
Description
online.quantile Quantile normalization tools for online preprocessing. Estimate quantiles for quantile normalization based on subset of the data (random, or specified by the user).
Usage
online.quantile(abatch, n)
Arguments
abatch |
AffyBatch |
n |
Numeric: number of random samples to use to define quantile basis. Vector: specify samples to be used in quantile basis calculation. |
Details
"online.quantile": Ordinary quantile normalization is exhaustively memory-consuming in alrge data sets. Then the quantiles can be calculated based on subset of the data to allow efficient normalization. This function can also be used to investigate effect of subset size to convergence of the quantile estimates;"qnorm.basis.online": sweeps through the data in batches to calculate the basis for quantile normalization (average over sorted profiles).
Value
"online.quantile": AffyBatch; "qnorm.basis.online": a vector containing the basis for quantile normalization.
Author(s)
Leo Lahti leo.lahti@iki.fi
References
See citation("RPA")
Examples
#
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.