SDEFSR_DatasetFromDataFrame: Creates a 'SDEFSR_Dataset' object from a 'data.frame'

In aklxao2/SDEFSR: Subgroup Discovery Algorithms for R

Description

Creates a SDEFSR_Dataset object from a data.frame and create fuzzy labels for numerical variables too.

Usage

SDEFSR_DatasetFromDataFrame(data, relation, names = NA, types = NA,
  classNames = NA)

Arguments

data	A data.frame object with all neccesary information. See details.
relation	A string that indicate the name of the relation.
names	An optional character vector indicating the name of the attributes.
types	An optional character vector indicating 'c' if variable is categorical, 'r' if is real and 'e' if it is an integer
classNames	An optional character vector indicating the values of the target class.

Details

The information of the data.frame must be stored with instances in rows and variables in columns If you dont specify any of the optional parameter the function try to obtain them automatically.

For 'names' if it is NA, the function takes the name of the columns by colnames.

For 'types' if it is NA, the function takes the type of an attribute asking the type of the column of the data.frame. If it is 'character' it is assumed that it is categorical, and if 'numeric' it is assumed that it is a real number. PLEASE, PAY ATTENTION TO THIS WAY OF WORK. It can cause tranformation errors taking a numeric variable as categorical or vice-versa.

For 'classNames' if it is NA, the function returns unique values of the last attribute of the data.frame that is considered the class attribute.

Value

A SDEFSR_Dataset object with all the information of the dataset.

Author(s)

Angel M Garcia <[e-mail]>

See Also

read.dataset

Examples

library(SDEFSR)
df <- data.frame(matrix(runif(1000), ncol = 10))
#Add class attribute
df[,11] <- c("0", "1", "2", "3")
SDEFSR_DatasetObject <- SDEFSR_DatasetFromDataFrame(df, "random")
invisible()

aklxao2/SDEFSR documentation built on May 12, 2019, 5:36 a.m.