check.rfcdata: Check RFC input data
In Morphonodepredictivemodel/morphonode: The Morphonode Predictive Model for ultrasound signatures detection and malignancy prediction in vulvar cancer
check.rfcdata R Documentation
Check RFC input data
Description
Assign ultasound data types for RFC building and validation.
Usage
check.rfcdata(x, levels = NULL, ...)
Arguments
x
An (n, 14) ultrasound features data.frame, where n is the
number of subjects.
levels
A list of length 15, corresponding to the levels of
each ultrasound variable plus the phenotype (y = 0, 1).
Needed for categorical variables (factors) checking;
for continuous variables, it should assume the nominal value of 0.
If NULL (default), the mpm.levels object
will be used.
...
Currently ignored.
Value
A data.frame of ultrasound features with checked data type.
Author(s)
Fernando Palluzzi fernando.palluzzi@gmail.com
See Also
buildPredictor.
Examples
# generate a dataset of 500 subjects
x <- mosaic::sample(mpm.us, 500, replace = FALSE, prob = NULL)
x <- x[, 2:16]
# Assign the correct data types for RFC building and validation
x <- check.rfcdata(x)
summary(x)
Morphonodepredictivemodel/morphonode documentation built on Feb. 15, 2023, 4:51 a.m.
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| check.rfcdata | R Documentation |
Check RFC input data
Description
Assign ultasound data types for RFC building and validation.
Usage
check.rfcdata(x, levels = NULL, ...)
Arguments
x |
An (n, 14) ultrasound features data.frame, where n is the number of subjects. |
levels |
A list of length 15, corresponding to the levels of
each ultrasound variable plus the phenotype (y = 0, 1).
Needed for categorical variables (factors) checking;
for continuous variables, it should assume the nominal value of 0.
If NULL (default), the |
... |
Currently ignored. |
Value
A data.frame of ultrasound features with checked data type.
Author(s)
Fernando Palluzzi fernando.palluzzi@gmail.com
See Also
buildPredictor.
Examples
# generate a dataset of 500 subjects x <- mosaic::sample(mpm.us, 500, replace = FALSE, prob = NULL) x <- x[, 2:16] # Assign the correct data types for RFC building and validation x <- check.rfcdata(x) summary(x)
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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