hw: Articial data with classical outliers.
In gmonette/spida: Collection of miscellaneous functions for mixed models etc. prepared for SPIDA 2009+ (development version)
Description
Usage
Format
Details
Examples
Description
Articial data on health as predicted by height and weight with outliers to show the effect of
different types of outliers.
Usage
1
2
3
data(hw)
data(hwoutliers)
Format
A data frame with 4 datasets, indexed by Type, each with 15 'good' observations. The last 3 datasets eadh
contain, in addition to the 'good' data, an outlier.
Weighta measure of body weight
Heighta measure of height
Healthan index of health: higher is better
Typenumerical type, 0, 1, 2 or 3
Outliera factor with levels none Type 1 Type 2 Type 3
Details
hw has four datasets identified by Outlier
indicating the 'type' of outlier depicted in each dataset: none, Type 1: large residual for y with
typical value of x, Type 2: small residual for y with atypical value of x, and Type 3: atypical x
and poorly fitting y. hwoutliers contains the rows of 'acceptable' data and one row for each of
the three types of outlier. This format lends itself better to 3-D plots. Note that this nomenclature
for outlier is not widely adopted!
Examples
1
2
gmonette/spida documentation built on May 17, 2019, 7:25 a.m.
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Description Usage Format Details Examples
Description
Articial data on health as predicted by height and weight with outliers to show the effect of different types of outliers.
Usage
1 2 3 | data(hw)
data(hwoutliers)
|
Format
A data frame with 4 datasets, indexed by Type, each with 15 'good' observations. The last 3 datasets eadh
contain, in addition to the 'good' data, an outlier.
Weighta measure of body weight
Heighta measure of height
Healthan index of health: higher is better
Typenumerical type, 0, 1, 2 or 3
Outliera factor with levels
noneType 1Type 2Type 3
Details
hw has four datasets identified by Outlier
indicating the 'type' of outlier depicted in each dataset: none, Type 1: large residual for y with
typical value of x, Type 2: small residual for y with atypical value of x, and Type 3: atypical x
and poorly fitting y. hwoutliers contains the rows of 'acceptable' data and one row for each of
the three types of outlier. This format lends itself better to 3-D plots. Note that this nomenclature
for outlier is not widely adopted!
Examples
1 2 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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