cureSvd: Circumferential uniformity ratio estimate (CURE) computed by...
In dloewenstein/straindys: A collection of tools to calculate different strain and dyssynchrony metrcis for CMR FT
Description
Usage
Arguments
Value
Description
Circumferential uniformity ratio estimate (CURE) computed by singular value decomposition (SVD).
Usage
1
Arguments
data
Dataframe with id column, and columns for each strain
segment. Each column should represent a separate segment. The segments should
be in the following order: Antero-septal, Infero-septal, Inferior, Infero-lateral,
Antero-lateral and Anterior. Or equivalent.
id.column
name of the id column in quotes.
Value
Returns a dataframe with CURE value for each patient.
dloewenstein/straindys documentation built on May 25, 2019, 4:23 p.m.
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Description Usage Arguments Value
Description
Circumferential uniformity ratio estimate (CURE) computed by singular value decomposition (SVD).
Usage
1 |
Arguments
data |
Dataframe with id column, and columns for each strain segment. Each column should represent a separate segment. The segments should be in the following order: Antero-septal, Infero-septal, Inferior, Infero-lateral, Antero-lateral and Anterior. Or equivalent. |
id.column |
name of the id column in quotes. |
Value
Returns a dataframe with CURE value for each patient.
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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