check.types: Verify types of variable

In bnpa: Bayesian Networks & Path Analysis

Description

This function receives a data set as parameter and check each type of variable returning a number indicating the type of variables in the whole data set. The variables can be 1=integer, 2=numeric, 3=factor, 4=integer and numeric, 5=integer and factor, 6=numeric and factor, 7=integer, numeric and factor, 8=character.

Usage

check.types(data.to.work, show.message = 0)

Arguments

data.to.work	is a data set containing the variables to be verified.
show.message	is a parameter indicating if the function will or not show a message.

Value

A variable with the code indicating the type of variable and a message (or not)

Author(s)

Elias Carvalho

References

GUJARATI, Damodar N. Basic econometrics. Tata McGraw-Hill Education, 2009.

Examples

# Clean environment
closeAllConnections()
rm(list=ls())
# Set enviroment
# setwd("to your working directory")
# Load packages
library(bnpa)
# Use working data sets from package
data(dataQuantC)
# Show first lines of data set
head(dataQuantC)
# Check and return a numeric value
show.message <- 1
bnpa::check.types(dataQuantC, show.message)
# Adding random data to dataQuantC, function will return TRUE
dataQuantC$Z <- round(runif(500, min=0, max=1000),2)
# Converting the numeric variable into factor
dataQuantC$Z <- factor(dataQuantC$Z)
# Check and return a numeric value correspondig to: 1=integer, 2=numeric, 3=factor, 4=integer and
# numeric, 5=integer and  factor, 6=numeric and factor or 7=integer, numeric and factor.
show.message <- 1
bnpa::check.types(dataQuantC, show.message)
# Supressing the message
show.message <- 0
bnpa::check.types(dataQuantC, show.message)

bnpa documentation built on Aug. 2, 2019, 1:05 a.m.