Data from a sociological study, the number of days absent from school is
the response variable.
Usage
data("schooldays")
Format
A data frame with 154 observations on the following 5 variables.
race
race of the child, a factor with levels
aboriginal and non-aboriginal.
gender
the gender of the child, a factor with levels
female and male.
school
the school type, a factor with levels
F0 (primary), F1 (first), F2 (second) and
F3 (third form).
learner
how good is the child in learning things,
a factor with levels average and
slow.
absent
number of days absent from school.
Details
The data arise from a sociological study
of Australian Aboriginal and white children reported by
Quine (1975).
In this study, children of both sexes from four age groups
(final grade in primary schools and first, second and third form
in secondary school) and from two cultural groups were used.
The children in age group were classified as slow or average
learners. The response variable was the number of days absent
from school during the school year. (Children who had suffered
a serious illness during the years were excluded.)
Source
S. Quine (1975), Achievement Orientation of Aboriginal and
White Adolescents. Doctoral Dissertation,
Australian National University, Canberra.
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
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> library(HSAUR2)
Loading required package: tools
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/HSAUR2/schooldays.Rd_%03d_medium.png", width=480, height=480)
> ### Name: schooldays
> ### Title: Days not Spent at School
> ### Aliases: schooldays
> ### Keywords: datasets
>
> ### ** Examples
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> data("schooldays", package = "HSAUR2")
> plot.design(schooldays)
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> dev.off()
null device
1
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