UN FAO Data

require(DCF)

## Loading required package: DCF

## Loading required package: mosaic

## Loading required package: lattice

## Loading required package: grid

## Loading required package: survival

## Loading required package: splines

## Loading required package: Hmisc

## Hmisc library by Frank E Harrell Jr
## 
## Type library(help='Hmisc'), ?Overview, or ?Hmisc.Overview') to see overall
## documentation.
## 
## NOTE:Hmisc no longer redefines [.factor to drop unused levels when
## subsetting.  To get the old behavior of Hmisc type dropUnusedLevels().

## Attaching package: 'Hmisc'

## The following object(s) are masked from 'package:survival':
## 
## untangle.specials

## The following object(s) are masked from 'package:base':
## 
## format.pval, round.POSIXt, trunc.POSIXt, units

## Attaching package: 'mosaic'

## The following object(s) are masked from 'package:Hmisc':
## 
## do

## The following object(s) are masked from 'package:stats':
## 
## D, binom.test, median, prop.test, sd, var

## The following object(s) are masked from 'package:base':
## 
## max, mean, min, print, sample

## Loading required package: ggplot2

## Loading required package: manipulate

## Warning: there is no package called 'manipulate'

We're going to analyze the FAO data on country size and population.

require(DCF)

## Loading required package: DCF

## Loading required package: manipulate

## Warning: there is no package called 'manipulate'

data("FAOsimple")

## Warning: data set 'FAOsimple' not found

ggplot(data = FAOsimple) + geom_point(aes(x = Country.area, y = Total.Population...Both.sexes)) + 
    scale_y_log10()

## Error: object 'FAOsimple' not found