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ws3- assumpties Y(t) * X(t)

*Unverified author*
R Software Module: rwasp_edauni.wasp (opens new window with default values)
Title produced by software: Univariate Explorative Data Analysis
Date of computation: Tue, 20 Oct 2009 14:33:15 -0600
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Oct/20/t1256070846616sxst1cu9up05.htm/, Retrieved Tue, 20 Oct 2009 22:34:06 +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/2009/Oct/20/t1256070846616sxst1cu9up05.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 «
1365.556988 1396.46943 1518.569954 1607.900768 1549.87866 1561.198482 1577.38749 1506.526596 1495.708632 1462.537125 1471.210288 1504.872684 1502.475296 1432.13994 1458.364282 1496.310192 1547.634816 1524.06477 1555.18366 1597.905078 1647.33 1585.1968 1598.488416 1648.967865 1677.176787 1719.358518 1788.694303 1871.515746 1851.265584 1888.73541 1863.08319 1978.26934 2041.701254 2032.294131 2086.176168 1981.483364 2080.397952 2190.474282 2148.841876 2155.23811 2029.258968 1998.162276 2044.812738 2158.49025 2182.989354 2086.046125 1982.80941 1919.001325 1748.606717 1291.074986 1124.286528 1180.042158 1145.941362 1029.486555 988.05465 1118.9077 1231.78965 1298.035776 1318.383216 1440.668496 1521.07371
 
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'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Descriptive Statistics
# observations61
minimum988.05465
Q11462.537125
median1585.1968
mean1652.53288814754
Q31978.26934
maximum2190.474282
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Oct/20/t1256070846616sxst1cu9up05/18j3n1256070790.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/20/t1256070846616sxst1cu9up05/18j3n1256070790.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/20/t1256070846616sxst1cu9up05/2xw3u1256070790.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/20/t1256070846616sxst1cu9up05/2xw3u1256070790.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/20/t1256070846616sxst1cu9up05/3icob1256070790.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/20/t1256070846616sxst1cu9up05/3icob1256070790.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/20/t1256070846616sxst1cu9up05/494hq1256070790.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/20/t1256070846616sxst1cu9up05/494hq1256070790.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/20/t1256070846616sxst1cu9up05/59b0b1256070790.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/20/t1256070846616sxst1cu9up05/59b0b1256070790.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/20/t1256070846616sxst1cu9up05/6q0r21256070790.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/20/t1256070846616sxst1cu9up05/6q0r21256070790.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/20/t1256070846616sxst1cu9up05/7ui6r1256070790.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/20/t1256070846616sxst1cu9up05/7ui6r1256070790.ps (open in new window)


 
Parameters (Session):
par1 = 1 ; par2 = 36 ;
 
Parameters (R input):
par1 = 1 ; 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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