Home » date » 2011 » Nov » 22 »

sequence nyrstar

*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: Tue, 22 Nov 2011 14:05:53 -0500

Cite this page as follows:

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2011/Nov/22/t1321988795s5896zq7ohyakm6.htm/, Retrieved Sat, 25 May 2013 11:57:54 +0000

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords:

System-generated keywords (parent):

t1289984313fiq9ol6jc8ggb97 (pk = 96536)

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	3 seconds
R Server	'AstonUniversity' @ aston.wessa.net

Descriptive Statistics
# observations	191
minimum	5.984
Q1	7.11
median	9.28
mean	8.59396335078534
Q3	9.7795
maximum	11.75

Charts produced by software:

http://www.freestatistics.org/blog/date/2011/Nov/22/t1321988795s5896zq7ohyakm6/1p71t1321988750.png (opens in new window)

http://www.freestatistics.org/blog/date/2011/Nov/22/t1321988795s5896zq7ohyakm6/1p71t1321988750.ps (opens in new window)

Click here to open pdf file.

http://www.freestatistics.org/blog/date/2011/Nov/22/t1321988795s5896zq7ohyakm6/22kf01321988750.png (opens in new window)

http://www.freestatistics.org/blog/date/2011/Nov/22/t1321988795s5896zq7ohyakm6/22kf01321988750.ps (opens in new window)

Click here to open pdf file.

http://www.freestatistics.org/blog/date/2011/Nov/22/t1321988795s5896zq7ohyakm6/3s6cs1321988750.png (opens in new window)

http://www.freestatistics.org/blog/date/2011/Nov/22/t1321988795s5896zq7ohyakm6/3s6cs1321988750.ps (opens in new window)

Click here to open pdf file.

http://www.freestatistics.org/blog/date/2011/Nov/22/t1321988795s5896zq7ohyakm6/4kroy1321988750.png (opens in new window)

http://www.freestatistics.org/blog/date/2011/Nov/22/t1321988795s5896zq7ohyakm6/4kroy1321988750.ps (opens in new window)

Click here to open pdf file.

http://www.freestatistics.org/blog/date/2011/Nov/22/t1321988795s5896zq7ohyakm6/5fe4p1321988750.png (opens in new window)

http://www.freestatistics.org/blog/date/2011/Nov/22/t1321988795s5896zq7ohyakm6/5fe4p1321988750.ps (opens in new window)

Click here to open pdf file.

http://www.freestatistics.org/blog/date/2011/Nov/22/t1321988795s5896zq7ohyakm6/6clhc1321988750.png (opens in new window)

http://www.freestatistics.org/blog/date/2011/Nov/22/t1321988795s5896zq7ohyakm6/6clhc1321988750.ps (opens in new window)

Click here to open pdf file.

http://www.freestatistics.org/blog/date/2011/Nov/22/t1321988795s5896zq7ohyakm6/74nvx1321988750.png (opens in new window)

http://www.freestatistics.org/blog/date/2011/Nov/22/t1321988795s5896zq7ohyakm6/74nvx1321988750.ps (opens in new window)

Click here to open pdf file.

Parameters (Session):

Parameters (R input):

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')