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Monday, February 14, 2011. Lets create some simple decision trees with the rpart function, we'll dabble with both regression and classification trees. First off, let's take a look at our sample data set, diamonds:. Price price in US dollars ( $326– $18,823). Carat weight of the diamond (0.2- 5.01). Cut quality of the cut (Fair, Good, Very Good, Premium, Ideal). Color diamond color, from J (worst) to D (best). X length in mm (0- 10.74). Y width in mm (0- 58.9). Z depth in mm (0- 31.8). We told rpart to us...

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RDataCraft | rdatacraft.blogspot.com Reviews
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Monday, February 14, 2011. Lets create some simple decision trees with the rpart function, we'll dabble with both regression and classification trees. First off, let's take a look at our sample data set, diamonds:. Price price in US dollars ( $326– $18,823). Carat weight of the diamond (0.2- 5.01). Cut quality of the cut (Fair, Good, Very Good, Premium, Ideal). Color diamond color, from J (worst) to D (best). X length in mm (0- 10.74). Y width in mm (0- 58.9). Z depth in mm (0- 31.8). We told rpart to us...
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1 rdatacraft
2 creating decision trees
3 regression tree
4 drawtree model
5 par ps=7
6 classification tree
7 drawtree model size=2 cases= diamonds
8 by typing
9 drawtree model size=2 cases= patients
10 posted by geoff
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RDataCraft | rdatacraft.blogspot.com Reviews

https://rdatacraft.blogspot.com

Monday, February 14, 2011. Lets create some simple decision trees with the rpart function, we'll dabble with both regression and classification trees. First off, let's take a look at our sample data set, diamonds:. Price price in US dollars ( $326– $18,823). Carat weight of the diamond (0.2- 5.01). Cut quality of the cut (Fair, Good, Very Good, Premium, Ideal). Color diamond color, from J (worst) to D (best). X length in mm (0- 10.74). Y width in mm (0- 58.9). Z depth in mm (0- 31.8). We told rpart to us...

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1

RDataCraft: Creating Decision Trees

http://rdatacraft.blogspot.com/2011/02/creating-decision-trees_3445.html

Monday, February 14, 2011. Lets create some simple decision trees with the rpart function, we'll dabble with both regression and classification trees. First off, let's take a look at our sample data set, diamonds:. Price price in US dollars ( $326– $18,823). Carat weight of the diamond (0.2- 5.01). Cut quality of the cut (Fair, Good, Very Good, Premium, Ideal). Color diamond color, from J (worst) to D (best). X length in mm (0- 10.74). Y width in mm (0- 58.9). Z depth in mm (0- 31.8). We told rpart to us...

2

RDataCraft: Installing Libraries in R

http://rdatacraft.blogspot.com/2011/02/installing-libraries-in-r_11.html

Friday, February 11, 2011. Installing Libraries in R. Throughout using R you will find that you need to add on different functions to solve problems. These functions are usually stored in 'libraries' and R has made it simple for you to find and load different libraries. If you ever cross someones work or try to use a function your professor uses and get the following error from R:. At this point a "CRAN Mirror" window will open, here you need to select the location closest to you.

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Monday, February 14, 2011. Lets create some simple decision trees with the rpart function, we'll dabble with both regression and classification trees. First off, let's take a look at our sample data set, diamonds:. Price price in US dollars ( $326– $18,823). Carat weight of the diamond (0.2- 5.01). Cut quality of the cut (Fair, Good, Very Good, Premium, Ideal). Color diamond color, from J (worst) to D (best). X length in mm (0- 10.74). Y width in mm (0- 58.9). Z depth in mm (0- 31.8). We told rpart to us...

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