is.wholenumber: Tests if a numeric vector is completely consisting of...
In RJ333/phyloseq2ML: Connects Phyloseq To Ranger And Keras
Description
Usage
Arguments
Value
Description
This function can be used to distinguish e.g. dummy variables (only 0 and 1)
from other numeric columns. Applying to non numeric columns will fail. It also
allows for negative whole numbers and decimals with no rest e.g. 3.0, as this
can be a matter of print formatting rather of type
Usage
1
is.wholenumber(x, tolerance = .Machine$double.eps^0.5)
Arguments
x
the vector to be tested, use 'sapply(x, is.wholenumber)' for a data frame
tolerance
numerical specifying the tolerance for rounding a value.
defaults to '.Machine$double.eps^0.5' with '.Machine$double.eps' being
the smallest positive floating-point number x such that 1 + x != 1
Value
A logical vector returning TRUE for column(s) that are completely integers
RJ333/phyloseq2ML documentation built on June 2, 2020, 9:25 p.m.
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Description Usage Arguments Value
Description
This function can be used to distinguish e.g. dummy variables (only 0 and 1) from other numeric columns. Applying to non numeric columns will fail. It also allows for negative whole numbers and decimals with no rest e.g. 3.0, as this can be a matter of print formatting rather of type
Usage
1 | is.wholenumber(x, tolerance = .Machine$double.eps^0.5)
|
Arguments
x |
the vector to be tested, use 'sapply(x, is.wholenumber)' for a data frame |
tolerance |
numerical specifying the tolerance for rounding a value. defaults to '.Machine$double.eps^0.5' with '.Machine$double.eps' being the smallest positive floating-point number x such that 1 + x != 1 |
Value
A logical vector returning TRUE for column(s) that are completely integers
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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