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FM22,regressin tree,steven,coomans,thesis,per maand

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R Software Module: /rwasp_regression_trees.wasp (opens new window with default values)

Title produced by software: Recursive Partitioning (Regression Trees)

Date of computation: Wed, 26 May 2010 10:57:55 +0000

Cite this page as follows:

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/May/26/t1274871525ldhy9tvnv6ne89s.htm/, Retrieved Wed, 26 May 2010 12:58:49 +0200

BibTeX entries for LaTeX users:

@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2010/May/26/t1274871525ldhy9tvnv6ne89s.htm/},
    year = {2010},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2010},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords:

FM22,regressin tree,steven,coomans,thesis,per maand

Dataseries X:

» Textbox « » Textfile « » CSV «

594.25 NA 699.997920798106 593.655750472382 722,75 853.75 594.25 648.094696588097 647.942799207107 803,8 766.5 620.2 749.03449041482 744.673364998473 876,8 758.05 634.83 757.606916738666 753.778778169047 795,8 756.85 647.152 757.824390989537 755.529720168062 917,3 685.4 658.1218 757.346140130168 749.907388162832 733 696.525 660.84962 722.033515408683 723.33892944098 850,5 610.025 664.417158 709.513418705798 704.516968331494 678,8 708.325 658.9779422 660.682485072171 672.68501267814 910,3 619.1 663.91264798 684.066397640522 680.23484230233 730 740.525 659.431383182 652.179572089688 664.582874665436 798,5 730.5 667.5407448638 695.541299848975 696.052601976007 763,5 489.75 673.83667037742 712.699738883378 655.544241875514 725,3 766.525 655.428003339678 603.271485377383 680.45740717072 768,5 780.125 666.53770300571 683.399621312151 686.76864206964 NA 804.975 677.896432705139 730.874398867526 724.218996193073 883 529.25 690.604289434625 767.244476743744 753.807367605178 2289 743.75 674.46886049116 etc...

Output produced by software:

Enter (or paste) a matrix (table) containing all data (time) series. Every column represents a different variable and must be delimited by a space or Tab. Every row represents a period in time (or category) and must be delimited by hard returns. The easiest way to enter data is to copy and paste a block of spreadsheet cells. Please, do not use commas or spaces to seperate groups of digits!

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135
R Framework error message	Warning: there are blank lines in the 'Data X' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

Model Performance
#	Complexity	split	relative error	CV error	CV S.D.
1	0.767	0	1	1.025	0.129
2	0.02	1	0.233	0.414	0.103
3	0.01	3	0.193	0.412	0.085

Charts produced by software:

http://www.freestatistics.org/blog/date/2010/May/26/t1274871525ldhy9tvnv6ne89s/11l0i1274871473.png (open in new window)

http://www.freestatistics.org/blog/date/2010/May/26/t1274871525ldhy9tvnv6ne89s/11l0i1274871473.ps (open in new window)

http://www.freestatistics.org/blog/date/2010/May/26/t1274871525ldhy9tvnv6ne89s/2cuh31274871473.png (open in new window)

http://www.freestatistics.org/blog/date/2010/May/26/t1274871525ldhy9tvnv6ne89s/2cuh31274871473.ps (open in new window)

http://www.freestatistics.org/blog/date/2010/May/26/t1274871525ldhy9tvnv6ne89s/3cuh31274871473.png (open in new window)

http://www.freestatistics.org/blog/date/2010/May/26/t1274871525ldhy9tvnv6ne89s/3cuh31274871473.ps (open in new window)

Parameters (Session):

par1 = 1 ; par2 = No ;

Parameters (R input):

par1 = 1 ; par2 = No ;

R code (references can be found in the software module):

library(rpart)

library(partykit)

par1 <- as.numeric(par1)

autoprune <- function ( tree, method='Minimum CV'){

xerr <- tree$cptable[,'xerror']

cpmin.id <- which.min(xerr)

if (method == 'Minimum CV Error plus 1 SD'){

xstd <- tree$cptable[,'xstd']

errt <- xerr[cpmin.id] + xstd[cpmin.id]

cpSE1.min <- which.min( errt < xerr )

mycp <- (tree$cptable[,'CP'])[cpSE1.min]

}

if (method == 'Minimum CV') {

mycp <- (tree$cptable[,'CP'])[cpmin.id]

}

return (mycp)

}

conf.multi.mat <- function(true, new)

{

if ( all( is.na(match( levels(true),levels(new) ) )) )

stop ( 'conflict of vector levels')

multi.t <- list()

for (mylev in levels(true) ) {

true.tmp <- true

new.tmp <- new

left.lev <- levels (true.tmp)[- match(mylev,levels(true) ) ]

levels(true.tmp) <- list ( mylev = mylev, all = left.lev )

levels(new.tmp)  <- list ( mylev = mylev, all = left.lev )

curr.t <- conf.mat ( true.tmp , new.tmp )

multi.t[[mylev]] <- curr.t

multi.t[[mylev]]$precision <-

round( curr.t$conf[1,1] / sum( curr.t$conf[1,] ), 2 )

}

return (multi.t)

}

x <- t(y)

k <- length(x[1,])

n <- length(x[,1])

x1 <- cbind(x[,par1], x[,1:k!=par1])

mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])

colnames(x1) <- mycolnames #colnames(x)[par1]

m <- rpart(as.data.frame(x1))

par2

if (par2 != 'No') {

mincp <- autoprune(m,method=par2)

print(mincp)

m <- prune(m,cp=mincp)

}

m$cptable

bitmap(file='test1.png')

plot(as.party(m),tp_args=list(id=FALSE))

dev.off()

bitmap(file='test2.png')

plotcp(m)

dev.off()

cbind(y=m$y,pred=predict(m),res=residuals(m))

myr <- residuals(m)

myp <- predict(m)

bitmap(file='test4.png')

op <- par(mfrow=c(2,2))

plot(myr,ylab='residuals')

plot(density(myr),main='Residual Kernel Density')

plot(myp,myr,xlab='predicted',ylab='residuals',main='Predicted vs Residuals')

plot(density(myp),main='Prediction Kernel Density')

par(op)

dev.off()

load(file='createtable')

a<-table.start()

a<-table.row.start(a)

a<-table.element(a,'Model Performance',6,TRUE)

a<-table.row.end(a)

a<-table.row.start(a)

a<-table.element(a,'#',header=TRUE)

a<-table.element(a,'Complexity',header=TRUE)

a<-table.element(a,'split',header=TRUE)

a<-table.element(a,'relative error',header=TRUE)

a<-table.element(a,'CV error',header=TRUE)

a<-table.element(a,'CV S.D.',header=TRUE)

a<-table.row.end(a)

for (i in 1:length(m$cptable[,1])) {

a<-table.row.start(a)

a<-table.element(a,i,header=TRUE)

a<-table.element(a,round(m$cptable[i,'CP'],3))

a<-table.element(a,m$cptable[i,'nsplit'])

a<-table.element(a,round(m$cptable[i,'rel error'],3))

a<-table.element(a,round(m$cptable[i,'xerror'],3))

a<-table.element(a,round(m$cptable[i,'xstd'],3))

a<-table.row.end(a)

}

a<-table.end(a)

table.save(a,file='mytable.tab')

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa

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