Lucy {TeachingSampling}R Documentation

Some Business Population Database

Description

This data set corresponds to some financial variables of 2396 industrial companies of a city in a particular fiscal year.

Usage

Lucy

Format

ID
The identifier of the company. It correspond to an alphanumeric sequence (two letters and three digits)
Ubication
The address of the principal office of the company in the city
Level
The industrial companies are discrimitnated according to the Taxes declared. There are small, medium and big companies
Zone
The city is divided by geoghrafical zones. A company is classified in a particular zone according to its address
Income
The total ammount of a company's earnings (or profit) in the previuos fiscal year. It is calculated by taking revenues and adjusting for the cost of doing business
Employees
The total number of persons working for the company in the previuos fiscal year
Taxes
The total ammount of a company's income Tax
SPAM
Indicates if the company uses the Internet and WEBmail options in order to make self-propaganda.

References

Guti'errez, H. A. (2009), Estrategias de muestreo: Dise~no de encuestas y estimaci'on de par'ametros. Editorial Universidad Santo Tom'as.

See Also

Marco

Examples

data(Lucy)
attach(Lucy)
# The variables of interest are: Income, Employees and Taxes
# This information is stored in a data frame called estima
estima <- data.frame(Income, Employees, Taxes)
# The population totals
colSums(estima)
# Some parameters of interest
table(SPAM,Level)
xtabs(Income ~ Level+SPAM)
# Correlations among characteristics of interest
cor(estima)
# Some useful histograms
hist(Income)
hist(Taxes)
hist(Employees)
# Some useful plots
boxplot(Income ~ Level)
barplot(table(Level))
pie(table(SPAM))

[Package TeachingSampling version 0.7.6 Index]