Create a new entrys about the outliers in R

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Create a new entrys about the outliers in R

Hello,

here’s my new assignment about the outliers

it’s about writing 4 different entry like blog.

I attached my previous proposal here

also here’s the supervisor emails for this assignment..

Hello

One variable case:

For week 6 you may put your entry on using Z scores to find possible outliers, as in your proposal.

For week 7 you may put your entry on using IQR to find possible outliers, as in your proposal.

Here you may use your simulated data, and the dataset mtcars in R.

Choose 1 variable for weeks 6 and 7: start with mpg for example.

Multiple variable case;

For week 8 you may consider a number of regression models of mpg on some of the other variables.

You may consider to use residuals to find possible outliers.

For week 9 you may consider to use cooks distance for the regression models to find possible influential points which may or may not be outliers.

What do you think?

Regards

Shuang

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https://cran.r-project.org/web/packages/olsrr/vignettes/influence_measures.html

mtcars is already in R and can be analysed to get stand residuals to compare to -2 or 2

> head(mtcars)

mpg cyl disp hp drat wt qsec vs am gear carb

Mazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4

Mazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4

Datsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1

Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1

Hornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2

Valiant 18.1 6 225 105 2.76 3.460 20.22 1 0 3 1

> attach(mtcars)

The following objects are masked from mtcars (pos = 3):

am, carb, cyl, disp, drat, gear, hp, mpg, qsec, vs, wt

> model <- lm(mpg ~ disp + hp + wt + qsec, data = mtcars)

> rstandard(model)

Mazda RX4 Mazda RX4 Wag Datsun 710 Hornet 4 Drive Hornet Sportabout

-0.65456638 -0.29166549 -0.99109408 -0.13160093 0.11349120

Valiant Duster 360 Merc 240D Merc 230 Merc 280

-1.17577132 -0.65302963 0.67692139 -0.55672545 -0.15727964

Merc 280C Merc 450SE Merc 450SL Merc 450SLC Cadillac Fleetwood

-0.85551938 0.39697897 0.08190899 -0.73669070 0.02236813

Lincoln Continental Chrysler Imperial Fiat 128 Honda Civic Toyota Corolla

0.49793369 2.40096631 2.24888836 0.49755516 2.15282871

Toyota Corona Dodge Challenger AMC Javelin Camaro Z28 Pontiac Firebird

-1.57150088 -1.14579414 -1.47989966 -0.43415180 1.06927128

Fiat X1-9 Porsche 914-2 Lotus Europa Ford Pantera L Ferrari Dino

-0.14990597 0.34115026 1.12804819 -0.35739634 -0.17986946

Maserati Bora Volvo 142E

0.90881167 -0.60647195

# 3 outliers in red

>

 
 > plot(rstandard(model))

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On the Canvas site/Modules: ePortfolio Resources info can be found

ePortfolio (Week 4-9)

Prerequisites: Getting Started (Week 1 – 3)

Published. Click to unpublish ePortfolio (Week 4-9).

Published. Click to unpublish ePortfolio Resources.

· · Week 9 – e-Portfolio (20%) [INDIVIDUAL WORK]

Week 9 – e-Portfolio (20%) [INDIVIDUAL WORK]

Apr 13

100 pts

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Datasets:

Apart from mtcars, you may simulate your own data or find a real world dataset to analyse

I may look at this too, and email you when I get progress

Shuang

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