txtsummary

Summarization of a numeric vector.

An unsupervised and semi-supervised learning algorithm that performs feature extraction
from noisy and high-dimensional data. It facilitates identification of patterns representing underlying
groups on all samples in a data set. Based on Cacciatore S, Tenori L, Luchinat C, Bennett PR, MacIntyre DA.
(2017) Bioinformatics <doi:10.1093/bioinformatics/btw705> and Cacciatore S, Luchinat C, Tenori L. (2014)
Proc Natl Acad Sci USA <doi:10.1073/pnas.1220873111>.

Stefano Cacciatore

KODAMA

Knowledge Discovery by Accuracy Maximization

Leonardo Tenori

txtsummary function

<dl> <dt>x</dt>
<dd>a numeric vector.</dd> <dt>digits</dt>
<dd>how many significant digits are to be used.</dd> <dt>scientific</dt>
<dd>either a logical specifying whether result should be encoded in scientific format.</dd> <dt>range</dt>
<dd>the range to be visualized.</dd>
</dl>

Arguments

Author

Median and Coefficient Interval — txtsummary

<dl>

 <dt>x</dt>
<dd>a numeric vector.</dd>

 <dt>digits</dt>
<dd>how many significant digits are to be used.</dd>

 <dt>scientific</dt>
<dd>either a logical specifying whether result should be encoded in scientific format.</dd>

 <dt>range</dt>
<dd>the range to be visualized.</dd>


</dl>

Last chance! 50% off unlimited learning

txtsummary: Median and Coefficient Interval

Description

Usage

Value

Arguments

Author

References

See Also

Examples