#+TITLE: Rapport package team
#+AUTHOR: Multidimensional Scaling
#+DATE: 2011-04-26 20:25 CET
** Description
In this template Rapporter will present you Multidimensional Scaling.
*** Introduction
[[http://en.wikipedia.org/wiki/Multidimensional_scaling][Multidimensional-scaling]]
is a technique which gives us a visual representation about the
distances between the observations.
*** MDS
Below you can see a plot, that presents you the distance between the
observations, which was calculated based on /Age/, /Internet usage for
educational purposes (hours per day)/ and /Internet usage in leisure
time (hours per day)/.
[[plots/MDS.tpl-1-hires.png][[[plots/MDS.tpl-1.png]]]]
***** What can be seen here?
****** Outsiders
84 differs the most from the others, and 8 seems to be the most "common"
observation, which lie nearest to all other observations.
****** Outsider Pairs
/284/ and /84/ (8.02) are the "furthest", /280/ and /1/ (0) are the
"nearest" to each other.
****** In General
Now let's see which observations can be said statistically far/similar
to each other in general. The /16/ pairs with the biggest differences
and the /10/ pairs with the smallest differences will be presented. In
the brackets you can see the amount of the distances between two
observations.
There are /17/ observations which are the most similar, and equal in the
same time, that is a higher number than the wanted /16/, thus will not
be reported one-by-one. Set /17/ as parameter /max.dist.num/ to check
the pairs if you are interested.
There are /318/ observations which are the most similar and equal in the
same time, that is a higher number than the wanted /10/, thus will not
be reported one-by-one. Set /318/ as parameter /min.dist.num/ to check
the pairs if you are interested.
** Description
In this template Rapporter will present you Multidimensional Scaling.
*** Introduction
[[http://en.wikipedia.org/wiki/Multidimensional_scaling][Multidimensional-scaling]]
is a technique which gives us a visual representation about the
distances between the observations.
*** MDS
Below you can see a plot, that presents you the distance between the
observations, which was calculated based on /Age/, /Internet usage for
educational purposes (hours per day)/ and /Internet usage in leisure
time (hours per day)/.
[[plots/MDS.tpl-1-hires.png][[[plots/MDS.tpl-1.png]]]]
***** What can be seen here?
****** Outsiders
84 differs the most from the others, and 8 seems to be the most "common"
observation, which lie nearest to all other observations.
****** Outsider Pairs
/284/ and /84/ (8.02) are the "furthest", /280/ and /1/ (0) are the
"nearest" to each other.
****** In General
Now let's see which observations can be said statistically far/similar
to each other in general. The /17/ pairs with the biggest differences
and the /30/ pairs with the smallest differences will be presented. In
the brackets you can see the amount of the distances between two
observations.
According to the used variables (/Age/, /Internet usage for educational
purposes (hours per day)/ and /Internet usage in leisure time (hours per
day)/) the /17/ furthest pair of observations are:
- /284/ and /84/ (8.02)
- /224/ and /84/ (7.87)
- /230/ and /84/ (7.84)
- /84/ and /68/ (7.81)
- /463/ and /84/ (7.79)
- /583/ and /84/ (7.79)
- /582/ and /84/ (7.72)
- /122/ and /84/ (7.72)
- /460/ and /84/ (7.72)
- /606/ and /84/ (7.7)
- /607/ and /84/ (7.7)
- /128/ and /84/ (7.69)
- /253/ and /84/ (7.69)
- /84/ and /41/ (7.69)
- /269/ and /84/ (7.65)
- /376/ and /84/ (7.63)
- /506/ and /84/ (7.63)
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There are /318/ observations which are the most similar and equal in the
same time, that is a higher number than the wanted /30/, thus will not
be reported one-by-one. Set /318/ as parameter /min.dist.num/ to check
the pairs if you are interested.
** Description
In this template Rapporter will present you Multidimensional Scaling.
*** Introduction
[[http://en.wikipedia.org/wiki/Multidimensional_scaling][Multidimensional-scaling]]
is a technique which gives us a visual representation about the
distances between the observations.
*** MDS
Below you can see a plot, that presents you the distance between the
observations, which was calculated based on /drat/, /cyl/ and /mpg/.
[[plots/MDS.tpl-2-hires.png][[[plots/MDS.tpl-2.png]]]]
***** What can be seen here?
****** Outsiders
Honda Civic differs the most from the others, and Ferrari Dino seems to
be the most "common" observation, which lie nearest to all other
observations.
****** Outsider Pairs
/Honda Civic/ and /Cadillac Fleetwood/ (5.48) are the "furthest", /Mazda
RX4 Wag/ and /Mazda RX4/ (0) are the "nearest" to each other.
****** In General
Now let's see which observations can be said statistically far/similar
to each other in general. The /17/ pairs with the biggest differences
and the /30/ pairs with the smallest differences will be presented. In
the brackets you can see the amount of the distances between two
observations.
According to the used variables (/drat/, /cyl/ and /mpg/) the /17/
furthest pair of observations are:
- /Honda Civic/ and /Cadillac Fleetwood/ (5.48)
- /Honda Civic/ and /Lincoln Continental/ (5.39)
- /Dodge Challenger/ and /Honda Civic/ (5.25)
- /Toyota Corolla/ and /Cadillac Fleetwood/ (5.1)
- /Toyota Corolla/ and /Lincoln Continental/ (5.04)
- /Honda Civic/ and /Merc 450SLC/ (4.85)
- /Fiat 128/ and /Cadillac Fleetwood/ (4.79)
- /Honda Civic/ and /Merc 450SE/ (4.74)
- /Honda Civic/ and /Duster 360/ (4.74)
- /AMC Javelin/ and /Honda Civic/ (4.74)
- /Fiat 128/ and /Lincoln Continental/ (4.74)
- /Honda Civic/ and /Chrysler Imperial/ (4.68)
- /Honda Civic/ and /Valiant/ (4.68)
- /Honda Civic/ and /Merc 450SL/ (4.67)
- /Dodge Challenger/ and /Toyota Corolla/ (4.67)
- /Pontiac Firebird/ and /Honda Civic/ (4.52)
- /Honda Civic/ and /Hornet Sportabout/ (4.46)
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According to the used variables (/drat/, /cyl/ and /mpg/) the /30/
nearest pair of observations are:
- /Mazda RX4 Wag/ and /Mazda RX4/ (0)
- /Chrysler Imperial/ and /Duster 360/ (0.08)
- /Merc 230/ and /Datsun 710/ (0.13)
- /Lincoln Continental/ and /Cadillac Fleetwood/ (0.13)
- /Merc 450SL/ and /Merc 450SE/ (0.15)
- /AMC Javelin/ and /Merc 450SLC/ (0.15)
- /Pontiac Firebird/ and /Hornet Sportabout/ (0.15)
- /AMC Javelin/ and /Chrysler Imperial/ (0.17)
- /AMC Javelin/ and /Duster 360/ (0.19)
- /Merc 450SLC/ and /Merc 450SE/ (0.2)
- /Merc 280C/ and /Merc 280/ (0.23)
- /AMC Javelin/ and /Merc 450SE/ (0.25)
- /Merc 450SL/ and /Hornet Sportabout/ (0.28)
- /Merc 280/ and /Mazda RX4/ (0.3)
- /Merc 280/ and /Mazda RX4 Wag/ (0.3)
- /Merc 450SLC/ and /Duster 360/ (0.3)
- /Chrysler Imperial/ and /Merc 450SLC/ (0.31)
- /Pontiac Firebird/ and /Merc 450SL/ (0.32)
- /Merc 450SLC/ and /Merc 450SL/ (0.35)
- /Toyota Corona/ and /Datsun 710/ (0.35)
- /Toyota Corolla/ and /Fiat 128/ (0.36)
- /AMC Javelin/ and /Merc 450SL/ (0.38)
- /Merc 240D/ and /Datsun 710/ (0.4)
- /Merc 450SE/ and /Hornet Sportabout/ (0.41)
- /Chrysler Imperial/ and /Merc 450SE/ (0.41)
- /Volvo 142E/ and /Merc 230/ (0.42)
- /Merc 450SE/ and /Duster 360/ (0.44)
- /Maserati Bora/ and /Camaro Z28/ (0.45)
- /Toyota Corona/ and /Merc 230/ (0.46)
- /Pontiac Firebird/ and /Merc 450SE/ (0.46)
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--------------
This report was generated with [[http://www.r-project.org/][R]] (3.0.1)
and [[http://rapport-package.info/][rapport]] (0.51) in /3.338/ sec on
x86\_64-unknown-linux-gnu platform.
[[images/logo.png]]