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workshop 6 - assignement 2 vraag 3

*The author of this computation has been verified*

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

Title produced by software: Univariate Explorative Data Analysis

Date of computation: Thu, 25 Nov 2010 12:45:02 +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/Nov/25/t1290689024981wjv8n0ia5fp4.htm/, Retrieved Wed, 22 May 2013 01:51:06 +0000

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords:

System-generated keywords (parent):

t1290688461c8qdrllwsbh5vp1 (pk = 100890)

Estimated Impact

Dataseries X:

» Textfile « » CSV « » Stem and Leaf « » Histogram « » Kernel Density « » Harrell-Davis Quantiles « » Central Tendency « » Variability «

Output produced by software:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Descriptive Statistics
# observations	360
minimum	235.2
Q1	269.1
median	296.45
mean	308.350833333333
Q3	334.475
maximum	466.9

Charts produced by software:

http://www.freestatistics.org/blog/date/2010/Nov/25/t1290689024981wjv8n0ia5fp4/1itxu1290689098.png (opens in new window)

http://www.freestatistics.org/blog/date/2010/Nov/25/t1290689024981wjv8n0ia5fp4/1itxu1290689098.ps (opens in new window)

Click here to open pdf file.

http://www.freestatistics.org/blog/date/2010/Nov/25/t1290689024981wjv8n0ia5fp4/2itxu1290689098.png (opens in new window)

http://www.freestatistics.org/blog/date/2010/Nov/25/t1290689024981wjv8n0ia5fp4/2itxu1290689098.ps (opens in new window)

Click here to open pdf file.

http://www.freestatistics.org/blog/date/2010/Nov/25/t1290689024981wjv8n0ia5fp4/3t2ex1290689098.png (opens in new window)

http://www.freestatistics.org/blog/date/2010/Nov/25/t1290689024981wjv8n0ia5fp4/3t2ex1290689098.ps (opens in new window)

Click here to open pdf file.

http://www.freestatistics.org/blog/date/2010/Nov/25/t1290689024981wjv8n0ia5fp4/4t2ex1290689098.png (opens in new window)

http://www.freestatistics.org/blog/date/2010/Nov/25/t1290689024981wjv8n0ia5fp4/4t2ex1290689098.ps (opens in new window)

Click here to open pdf file.

http://www.freestatistics.org/blog/date/2010/Nov/25/t1290689024981wjv8n0ia5fp4/5mtez1290689098.png (opens in new window)

http://www.freestatistics.org/blog/date/2010/Nov/25/t1290689024981wjv8n0ia5fp4/5mtez1290689098.ps (opens in new window)

Click here to open pdf file.

http://www.freestatistics.org/blog/date/2010/Nov/25/t1290689024981wjv8n0ia5fp4/6w3d21290689098.png (opens in new window)

http://www.freestatistics.org/blog/date/2010/Nov/25/t1290689024981wjv8n0ia5fp4/6w3d21290689098.ps (opens in new window)

Click here to open pdf file.

http://www.freestatistics.org/blog/date/2010/Nov/25/t1290689024981wjv8n0ia5fp4/77cc51290689098.png (opens in new window)

http://www.freestatistics.org/blog/date/2010/Nov/25/t1290689024981wjv8n0ia5fp4/77cc51290689098.ps (opens in new window)

Click here to open pdf file.

Parameters (Session):

par1 = 0 ; par2 = 0 ;

Parameters (R input):

par1 = 0 ; par2 = 0 ;

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

par1 <- as.numeric(par1)
par2 <- as.numeric(par2)
x <- as.ts(x)
library(lattice)
bitmap(file='pic1.png')
plot(x,type='l',main='Run Sequence Plot',xlab='time or index',ylab='value')
grid()
dev.off()
bitmap(file='pic2.png')
hist(x)
grid()
dev.off()
bitmap(file='pic3.png')
if (par1 > 0)
{
densityplot(~x,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
} else {
densityplot(~x,col='black',main='Density Plot')
}
dev.off()
bitmap(file='pic4.png')
qqnorm(x)
qqline(x)
grid()
dev.off()
if (par2 > 0)
{
bitmap(file='lagplot1.png')
dum <- cbind(lag(x,k=1),x)
dum
dum1 <- dum[2:length(x),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main='Lag plot (k=1), lowess, and regression line')
lines(lowess(z))
abline(lm(z))
dev.off()
if (par2 > 1) {
bitmap(file='lagplotpar2.png')
dum <- cbind(lag(x,k=par2),x)
dum
dum1 <- dum[(par2+1):length(x),]
dum1
z <- as.data.frame(dum1)
z
mylagtitle <- 'Lag plot (k='
mylagtitle <- paste(mylagtitle,par2,sep='')
mylagtitle <- paste(mylagtitle,'), and lowess',sep='')
plot(z,main=mylagtitle)
lines(lowess(z))
dev.off()
}
bitmap(file='pic5.png')
acf(x,lag.max=par2,main='Autocorrelation Function')
grid()
dev.off()
}
summary(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Descriptive Statistics',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'# observations',header=TRUE)
a<-table.element(a,length(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'minimum',header=TRUE)
a<-table.element(a,min(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Q1',header=TRUE)
a<-table.element(a,quantile(x,0.25))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'median',header=TRUE)
a<-table.element(a,median(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,mean(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Q3',header=TRUE)
a<-table.element(a,quantile(x,0.75))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'maximum',header=TRUE)
a<-table.element(a,max(x))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')