Table: Table for Simple Descriptive Statistics

In GMDH2: Binary Classification via GMDH-Type Neural Network Algorithms

Table for Simple Descriptive Statistics

Description

Table produces a table for simple descriptive statistics for a binary response.

Usage

Table(x, y, option = "min-max", percentages = "column", ndigits = c(2,1), 
  output = "R")

Arguments

x	a data frame including all variables.
y	a factor of binary response variable.
option	an option to return "min-max" or "Q1-Q3". Default is set to "min-max".
percentages	a character string to select the desired percentages. To use column or row percentages, percentages should be set to "column" or "row", respectively. The percentages argument is set to "total" to obtain total percentages. Default is set to "column".
ndigits	a vector of two numbers. The first one is used to specify the number of digit for numeric/integer variables. The second one specifies the number of digits for percentages of factor/ordered variables. Default is set to ndigits = c(2,1).
output	a character string to specify the format of descriptive statistics. If output = "LaTeX", it returns the table as latex format. If output = "HTML", it produces the table as html format. If output = "R", it returns the table in R console.

Author(s)

Osman Dag

Examples

library(GMDH2)

library(mlbench)
data(BreastCancer)

data <- BreastCancer

# to obtain complete observations
completeObs <- complete.cases(data)
data <- data[completeObs,]

x <- data[,2:10]
y <- data[,11]

Table(x, y)
Table(x, y, output = "LaTeX")

GMDH2 documentation built on Oct. 26, 2022, 5:06 p.m.