has.raw.data: check if a BNDataset contains raw data.
In tavazzie/bnstructScore: Bayesian Network Structure Learning from Data with Missing Values
Description
Usage
Arguments
See Also
Examples
Description
Check whether a BNDataset object actually contains raw data.
Usage
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has.raw.data(x)
## S4 method for signature 'BNDataset'
has.raw.data(x)
Arguments
x
a BNDataset.
See Also
has.imputed.data, raw.data, imputed.data
Examples
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## Not run:
x <- BNDataset()
has.raw.data(x) # FALSE
x <- read.dataset(x, "file.header", "file.data")
has.raw.data(x) # TRUE, since read.dataset() actually reads raw data.
## End(Not run)
tavazzie/bnstructScore documentation built on Dec. 23, 2021, 7:47 a.m.
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Description Usage Arguments See Also Examples
Description
Check whether a BNDataset object actually contains raw data.
Usage
1 2 3 4 | has.raw.data(x)
## S4 method for signature 'BNDataset'
has.raw.data(x)
|
Arguments
x |
a |
See Also
has.imputed.data, raw.data, imputed.data
Examples
1 2 3 4 5 6 7 8 | ## Not run:
x <- BNDataset()
has.raw.data(x) # FALSE
x <- read.dataset(x, "file.header", "file.data")
has.raw.data(x) # TRUE, since read.dataset() actually reads raw data.
## 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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