| Type: | Package |
| Title: | Data Preprocessing, Binning for Classification and Regression |
| Version: | 0.2.1 |
| Date: | 2018-01-05 |
| Author: | Chapman Siu |
| Maintainer: | Chapman Siu <chpmn.siu@gmail.com> |
| Description: | Various supervised and unsupervised binning tools including using entropy, recursive partition methods and clustering. |
| LazyData: | TRUE |
| Imports: | stats, rpart |
| Suggests: | discretization, Formula, testthat, BAMMtools, earth |
| RoxygenNote: | 5.0.1 |
| License: | MIT + file LICENSE |
| URL: | https://github.com/jules-and-dave/binst |
| NeedsCompilation: | no |
| Packaged: | 2018-01-04 23:48:21 UTC; chapm |
| Repository: | CRAN |
| Date/Publication: | 2018-01-05 04:08:02 UTC |
Creates bins given breaks
Description
Creates bins given breaks
Usage
create_bins(x, breaks, method = "cuts")
Arguments
x |
X is a numeric vector which is to be discretized |
breaks |
Breaks are the breaks for the vector X to be broken at. This excludes endpoints |
method |
the approach to bin the variable, can either be cuts or hinge. |
Value
A vector same length as X is returned with the numeric discretization
See Also
Examples
create_bins(1:10, c(3, 5))
A convenience functon for creating breaks with various methods.
Description
A convenience functon for creating breaks with various methods.
Usage
create_breaks(x, y = NULL, method = "kmeans", control = NULL, ...)
Arguments
x |
X is a numeric vector to be discretized |
y |
Y is the response vector used for calculating metrics for discretization |
method |
Method is the type of discretization approach used. Possible methods are: "dt", "entropy", "kmeans", "jenks" |
control |
Control is used for optional parameters for the method. It is a list of optional parameters for the function |
... |
instead of passing a list into control, arguments can be parsed as is. |
Value
A vector containing the breaks
See Also
Examples
kmeans_breaks <- create_breaks(1:10)
create_bins(1:10, kmeans_breaks)
# passing the k means parameter "centers" = 4
kmeans_breaks <- create_breaks(1:10, list(centers=4))
create_bins(1:10, kmeans_breaks)
entropy_breaks <- create_breaks(1:10, rep(c(1,2), each = 5), method="entropy")
create_bins(1:10, entropy_breaks)
dt_breaks <- create_breaks(iris$Sepal.Length, iris$Species, method="dt")
create_bins(iris$Sepal.Length, dt_breaks)
Create breaks using decision trees (recursive partitioning)
Description
Create breaks using decision trees (recursive partitioning)
Usage
create_dtbreaks(x, y, control = NULL)
Arguments
x |
X is a numeric vector to be discretized |
y |
Y is the response vector used for calculating metrics for discretization |
control |
Control is used for optional parameters for the method |
Value
A vector containing the breaks
See Also
Examples
dt_breaks <- create_breaks(iris$Sepal.Length, iris$Species, method="dt")
create_bins(iris$Sepal.Length, dt_breaks)
Create breaks using earth (i.e. MARS)
Description
Create breaks using earth (i.e. MARS)
Usage
create_earthbreaks(x, y, control = NULL)
Arguments
x |
X is a numeric vector to be discretized |
y |
Y is the response vector used for calculating metrics for discretization |
control |
Control is used for optional parameters for the method |
Value
A vector containing the breaks
See Also
Examples
earth_breaks <- create_breaks(x=iris$Sepal.Length, y=iris$Sepal.Width, method="earth")
create_bins(iris$Sepal.Length, earth_breaks)
Create Jenks breaks
Description
Create Jenks breaks
Usage
create_jenksbreaks(x, control = NULL)
Arguments
x |
X is a numeric vector to be discretized |
control |
Control is used for optional parameters for the method |
Value
A vector containing the breaks
See Also
Examples
jenks_breaks <- create_breaks(1:10, method="jenks")
create_bins(1:10, jenks_breaks)
Create kmeans breaks.
Description
Create kmeans breaks.
Usage
create_kmeansbreaks(x, control = NULL)
Arguments
x |
X is a numeric vector to be discretized |
control |
Control is used for optional parameters for the method |
Value
A vector containing the breaks
See Also
Examples
kmeans_breaks <- create_breaks(1:10)
create_bins(1:10, kmeans_breaks)
Create breaks using mdlp
Description
Create breaks using mdlp
Usage
create_mdlpbreaks(x, y)
Arguments
x |
X is a numeric vector to be discretized |
y |
Y is the response vector used for calculating metrics for discretization |
Value
A vector containing the breaks
See Also
Examples
entropy_breaks <- create_breaks(1:10, rep(c(1,2), each = 5), method="entropy")
create_bins(1:10, entropy_breaks)
gets the default parameters for each method.
Description
gets the default parameters for each method.
Usage
get_control(method = "kmeans", control = NULL)
Arguments
method |
Method is the type of discretization approach used |
control |
Control are the controls for the algorithm |
Value
List of default parameters