scale_quantile_adapted: Normalize values in a vector by quantile scaling and add a...
In saeyslab/nichenetr: NicheNet: Modeling Intercellular Communication by Linking Ligands to Target Genes
View source: R/differential_nichenet.R
scale_quantile_adapted R Documentation
Normalize values in a vector by quantile scaling and add a pseudovalue of 0.001
Description
scale_quantile_adapted Normalize values in a vector by quantile scaling. Add a pseudovalue of 0.001 to avoid having a score of 0 for the lowest value.
Usage
scale_quantile_adapted(x, outlier_cutoff = 0)
Arguments
x
A numeric vector.
outlier_cutoff
The quantile cutoff for outliers (default 0).
Value
A quantile-scaled numeric vector.
Examples
## Not run:
scale_quantile_adapted(rnorm(5))
## End(Not run)
saeyslab/nichenetr documentation built on April 27, 2024, 9:24 p.m.
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View source: R/differential_nichenet.R
| scale_quantile_adapted | R Documentation |
Normalize values in a vector by quantile scaling and add a pseudovalue of 0.001
Description
scale_quantile_adapted Normalize values in a vector by quantile scaling. Add a pseudovalue of 0.001 to avoid having a score of 0 for the lowest value.
Usage
scale_quantile_adapted(x, outlier_cutoff = 0)
Arguments
x |
A numeric vector. |
outlier_cutoff |
The quantile cutoff for outliers (default 0). |
Value
A quantile-scaled numeric vector.
Examples
## Not run:
scale_quantile_adapted(rnorm(5))
## End(Not run)
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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