jobs: Canadian Labour Force Summary Data (1995-96)
In DAAG: Data Analysis and Graphics Data and Functions

jobs	R Documentation

Canadian Labour Force Summary Data (1995-96)

Description

The number of workers in the Canadian labour force broken down by region (BC, Alberta, Prairies, Ontario, Quebec, Atlantic) for the 24-month period from January, 1995 to December, 1996 (a time when Canada was emerging from a deep economic recession).

Usage

jobs

Format

This data frame contains the following columns:

BC: monthly labour force counts in British Columbia
Alberta: monthly labour force counts in Alberta
Prairies: monthly labour force counts in Saskatchewan and Manitoba
Ontario: monthly labour force counts in Ontario
Quebec: monthly labour force counts in Quebec
Atlantic: monthly labour force counts in Newfoundland, Nova Scotia, Prince Edward Island and New Brunswick
Date: year (in decimal form)

Details

These data have been seasonally adjusted.

Source

Statistics Canada

Examples

print("Multiple Variables and Times - Example 2.1.4")
sapply(jobs, range)
pause()

matplot(jobs[,7], jobs[,-7], type="l", xlim=c(95,97.1))
 # Notice that we have been able to use a data frame as the second argument to matplot().
 # For more information on matplot(), type help(matplot)
text(rep(jobs[24,7], 6), jobs[24,1:6], names(jobs)[1:6], adj=0)
pause()

sapply(log(jobs[,-7]), range)
apply(sapply(log(jobs[,-7]), range), 2, diff)
pause()

oldpar <- par(mfrow=c(2,3))
range.log <- sapply(log(jobs[,-7], 2), range)
maxdiff <- max(apply(range.log, 2, diff))
range.log[2,] <- range.log[1,] + maxdiff
titles <- c("BC Jobs","Alberta Jobs","Prairie Jobs",
   "Ontario Jobs", "Quebec Jobs", "Atlantic Jobs")
for (i in 1:6){
plot(jobs$Date, log(jobs[,i], 2), type = "l", ylim = range.log[,i],
    xlab = "Time", ylab = "Number of jobs", main = titles[i])
}
par(oldpar)

DAAG documentation built on May 29, 2024, 9:13 a.m.