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*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: Wed, 30 Dec 2009 11:59:41 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Dec/30/t1262199650v9k1bmaui0zday1.htm/, Retrieved Wed, 30 Dec 2009 20:00:58 +0100
 
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/2009/Dec/30/t1262199650v9k1bmaui0zday1.htm/},
    year = {2009},
}
@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 = {2009},
    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:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
-3.572 -3.594 8.621 10.802 11.631 10.469 8.789 9.166 12.308 12.420 10.115 8.598 7.906 8.882 25.279 27.422 26.461 22.285 18.673 18.757 23.252 23.282 22.428 18.077 18.492 19.247 31.474 34.756 35.807 33.231 27.893 28.821 29.863 29.063 29.781 25.286 23.853 25.494 38.377 40.118 38.697 35.336 31.300 31.088 32.604 31.795 30.900 28.480 26.723 26.613 37.127 40.121 38.782 30.416 26.077 22.738 25.030 23.115 21.807 18.878 16.294 14.561 26.675 30.028 28.286 21.640 19.437 19.286 21.030 19.774 15.887 14.812 10.468 12.453 23.960 25.913 24.370 25.900 26.432 30.570 38.875 41.921 40.545 41.793 36.838 40.952 54.213 58.764 54.492 48.981
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Descriptive Statistics
# observations90
minimum-3.594
Q118.694
median25.697
mean25.4754444444444
Q331.4305
maximum58.764
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/30/t1262199650v9k1bmaui0zday1/1rdr51262199578.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/30/t1262199650v9k1bmaui0zday1/1rdr51262199578.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/30/t1262199650v9k1bmaui0zday1/2uls81262199578.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/30/t1262199650v9k1bmaui0zday1/2uls81262199578.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/30/t1262199650v9k1bmaui0zday1/37thw1262199578.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/30/t1262199650v9k1bmaui0zday1/37thw1262199578.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/30/t1262199650v9k1bmaui0zday1/40hov1262199578.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/30/t1262199650v9k1bmaui0zday1/40hov1262199578.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/30/t1262199650v9k1bmaui0zday1/5ox2k1262199578.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/30/t1262199650v9k1bmaui0zday1/5ox2k1262199578.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/30/t1262199650v9k1bmaui0zday1/69bo21262199578.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/30/t1262199650v9k1bmaui0zday1/69bo21262199578.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/30/t1262199650v9k1bmaui0zday1/7akli1262199578.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/30/t1262199650v9k1bmaui0zday1/7akli1262199578.ps (open in new window)


 
Parameters (Session):
par1 = 0 ; par2 = 36 ;
 
Parameters (R input):
par1 = 0 ; par2 = 36 ;
 
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')
 





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