do.normalise: do.normalise - Normalise data in selected columns between two...
In tomashhurst/Spectre: A Toolbox for the Analysis of High-Dimensional Cytometry and Single-Cell Data
Description
Usage
Arguments
Value
References
See Also
Description
This function allows you to normalise the data in selected columns between two values, usually 0 and 1.
Usage
1
do.normalise(dat, use.cols, new.min = 0, new.max = 1, zero.drops = NULL)
Arguments
dat
NO DEFAULT. data.table Input sample.
use.cols
NO DEFAULT. Vector of character column names – these columns will be normalised and added to the data.table as new columns.
new.min
DEFAULT = 0. The new minimum value.
new.max
DEFAULT = 1. The new maximum value.
zero.drops
DEFAULT = NULL. This is an experimental calculation which should reduce noise from negative values. Use with caution. Supplying a vector of values for each column (that matches the order or use.cols) that reflects the negative 'cutoff' for eachc column. Values below this will be turned into this value, which will all then be converted to 0.
Value
A data.table with new columns added, that contain the normalised data.
References
https://sydneycytometry.org.au/spectre
See Also
https://sydneycytometry.org.au/spectre for usage instructions and vignettes.
tomashhurst/Spectre documentation built on Dec. 23, 2021, 11:55 a.m.
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Description Usage Arguments Value References See Also
Description
This function allows you to normalise the data in selected columns between two values, usually 0 and 1.
Usage
1 | do.normalise(dat, use.cols, new.min = 0, new.max = 1, zero.drops = NULL)
|
Arguments
dat |
NO DEFAULT. data.table Input sample. |
use.cols |
NO DEFAULT. Vector of character column names – these columns will be normalised and added to the data.table as new columns. |
new.min |
DEFAULT = 0. The new minimum value. |
new.max |
DEFAULT = 1. The new maximum value. |
zero.drops |
DEFAULT = NULL. This is an experimental calculation which should reduce noise from negative values. Use with caution. Supplying a vector of values for each column (that matches the order or use.cols) that reflects the negative 'cutoff' for eachc column. Values below this will be turned into this value, which will all then be converted to 0. |
Value
A data.table with new columns added, that contain the normalised data.
References
https://sydneycytometry.org.au/spectre
See Also
https://sydneycytometry.org.au/spectre for usage instructions and vignettes.
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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