ex1122: Deforestation and Debt
In Sleuth3: Data Sets from Ramsey and Schafer's "Statistical Sleuth (3rd Ed)"
Description
Usage
Format
Source
References
Examples
Description
It has been theorized that developing countries cut down their forests
to pay off foreign debt. Data are debt, deforestation, and population
from 11 Latin American nations.
Usage
1
Format
A data frame with 11 observations on the following 4 variables.
- Country
a character vector indicating the country
- Debt
debt (millions of dollars)
- Deforest
deforestation (thousands of ha)
- Pop
population (thousands of people)
Source
Ramsey, F.L. and Schafer, D.W. (2013). The Statistical Sleuth: A
Course in Methods of Data Analysis (3rd ed), Cengage Learning.
References
Gullison, R.R. and Losos, E.C. (1992). The Role of Foreign Debt in
Deforestation in Latin America, Conservation Biology
7(1): 140–7.
Examples
1
Example output
'data.frame': 11 obs. of 4 variables:
$ Country : Factor w/ 11 levels "Argentina","Bollivia",..: 3 7 6 4 11 10 8 1 2 9 ...
$ Debt : int 86396 79613 6990 10101 24870 10707 3985 36664 3810 1479 ...
$ Deforest: int 12150 2680 1557 1500 1430 1250 550 400 300 250 ...
$ Pop : int 128425 74195 8751 27254 16171 18497 3022 29401 5971 3425 ...
Sleuth3 documentation built on May 2, 2019, 6:41 a.m.
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Description Usage Format Source References Examples
Description
It has been theorized that developing countries cut down their forests to pay off foreign debt. Data are debt, deforestation, and population from 11 Latin American nations.
Usage
1 |
Format
A data frame with 11 observations on the following 4 variables.
- Country
a character vector indicating the country
- Debt
debt (millions of dollars)
- Deforest
deforestation (thousands of ha)
- Pop
population (thousands of people)
Source
Ramsey, F.L. and Schafer, D.W. (2013). The Statistical Sleuth: A Course in Methods of Data Analysis (3rd ed), Cengage Learning.
References
Gullison, R.R. and Losos, E.C. (1992). The Role of Foreign Debt in Deforestation in Latin America, Conservation Biology 7(1): 140–7.
Examples
1 |
Example output
'data.frame': 11 obs. of 4 variables:
$ Country : Factor w/ 11 levels "Argentina","Bollivia",..: 3 7 6 4 11 10 8 1 2 9 ...
$ Debt : int 86396 79613 6990 10101 24870 10707 3985 36664 3810 1479 ...
$ Deforest: int 12150 2680 1557 1500 1430 1250 550 400 300 250 ...
$ Pop : int 128425 74195 8751 27254 16171 18497 3022 29401 5971 3425 ...
R Package Documentation
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