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Univariate EDA (4-plot)

*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: Sun, 25 Oct 2009 02:59:20 -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/25/t125646123753rg2wet6os1wqn.htm/, Retrieved Sun, 25 Oct 2009 10:00:37 +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/Oct/25/t125646123753rg2wet6os1wqn.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 «
11.05376344 11.08602151 11.85057471 12.54878049 12.3373494 11.98823529 11.77906977 11.84705882 12.26829268 12.4691358 12.84810127 11.84883721 11.73563218 11.75862069 12.05882353 12.25 12.18823529 11.98850575 12.04597701 12.23255814 12.43529412 12.78313253 13.3 12.96341463 13.12345679 13.14814815 13.3875 13.63291139 13.70886076 13.625 13.6625 13.87341772 13.7125 14.24675325 15.20833333 14.57333333 14.93150685 15.55714286 15.54285714 15.54285714 15.09722222 14.83561644 15.18309859 15.76470588 16.625 17.32786885 16.2 13.63636364 13.24050633 13.86666667 14.92753623 15.39393939 14.52173913 12.85714286 12.2625 12.175 12.57142857 13.19178082 12.95945946 11.80246914 11.4939759
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Descriptive Statistics
# observations61
minimum11.05376344
Q112.18823529
median13.12345679
mean13.3619100506557
Q314.52173913
maximum17.32786885
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Oct/25/t125646123753rg2wet6os1wqn/1ixck1256461154.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/25/t125646123753rg2wet6os1wqn/1ixck1256461154.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/25/t125646123753rg2wet6os1wqn/2vm691256461154.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/25/t125646123753rg2wet6os1wqn/2vm691256461154.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/25/t125646123753rg2wet6os1wqn/3a53b1256461154.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/25/t125646123753rg2wet6os1wqn/3a53b1256461154.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/25/t125646123753rg2wet6os1wqn/4fi5g1256461154.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/25/t125646123753rg2wet6os1wqn/4fi5g1256461154.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/25/t125646123753rg2wet6os1wqn/51xq41256461154.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/25/t125646123753rg2wet6os1wqn/51xq41256461154.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/25/t125646123753rg2wet6os1wqn/6duig1256461154.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/25/t125646123753rg2wet6os1wqn/6duig1256461154.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/25/t125646123753rg2wet6os1wqn/7rxt31256461154.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/25/t125646123753rg2wet6os1wqn/7rxt31256461154.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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