R: Swiss Fertility and Socioeconomic Indicators (1888) Data
swiss
R Documentation
Swiss Fertility and Socioeconomic Indicators (1888) Data
Description
Standardized fertility measure and socio-economic indicators for each
of 47 French-speaking provinces of Switzerland at about 1888.
Usage
swiss
Format
A data frame with 47 observations on 6 variables, each of which
is in percent, i.e., in [0, 100].
[,1]
Fertility
Ig, ‘common standardized
fertility measure’
[,2]
Agriculture
% of males involved in agriculture
as occupation
[,3]
Examination
% draftees receiving highest mark
on army examination
[,4]
Education
% education beyond primary school for draftees.
[,5]
Catholic
% ‘catholic’ (as opposed to ‘protestant’).
[,6]
Infant.Mortality
live births who live less than 1
year.
All variables but ‘Fertility’ give proportions of the
population.
Details
(paraphrasing Mosteller and Tukey):
Switzerland, in 1888, was entering a period known as the
demographic transition; i.e., its fertility was beginning to
fall from the high level typical of underdeveloped countries.
The data collected are for 47 French-speaking “provinces” at
about 1888.
Here, all variables are scaled to [0, 100], where in the
original, all but "Catholic" were scaled to [0, 1].
They state that variables Examination and Education
are averages for 1887, 1888 and 1889.
Source
Project “16P5”, pages 549–551 in
Mosteller, F. and Tukey, J. W. (1977)
Data Analysis and Regression: A Second Course in Statistics.
Addison-Wesley, Reading Mass.
indicating their source as
“Data used by permission of Franice van de Walle. Office of
Population Research, Princeton University, 1976. Unpublished data
assembled under NICHD contract number No 1-HD-O-2077.”
References
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988)
The New S Language.
Wadsworth & Brooks/Cole.
Examples
require(stats); require(graphics)
pairs(swiss, panel = panel.smooth, main = "swiss data",
col = 3 + (swiss$Catholic > 50))
summary(lm(Fertility ~ . , data = swiss))
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(datasets)
> png(filename="/home/ddbj/snapshot/RGM3/R_rel/result/datasets/swiss.Rd_%03d_medium.png", width=480, height=480)
> ### Name: swiss
> ### Title: Swiss Fertility and Socioeconomic Indicators (1888) Data
> ### Aliases: swiss
> ### Keywords: datasets
>
> ### ** Examples
>
> require(stats); require(graphics)
> pairs(swiss, panel = panel.smooth, main = "swiss data",
+ col = 3 + (swiss$Catholic > 50))
> summary(lm(Fertility ~ . , data = swiss))
Call:
lm(formula = Fertility ~ ., data = swiss)
Residuals:
Min 1Q Median 3Q Max
-15.2743 -5.2617 0.5032 4.1198 15.3213
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 66.91518 10.70604 6.250 1.91e-07 ***
Agriculture -0.17211 0.07030 -2.448 0.01873 *
Examination -0.25801 0.25388 -1.016 0.31546
Education -0.87094 0.18303 -4.758 2.43e-05 ***
Catholic 0.10412 0.03526 2.953 0.00519 **
Infant.Mortality 1.07705 0.38172 2.822 0.00734 **
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 7.165 on 41 degrees of freedom
Multiple R-squared: 0.7067, Adjusted R-squared: 0.671
F-statistic: 19.76 on 5 and 41 DF, p-value: 5.594e-10
>
>
>
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> dev.off()
null device
1
>