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workshop 3 part 2 assumpties 4plot geboortecijfer

*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: Fri, 23 Oct 2009 08:04:14 -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/23/t1256306782i7mxnst664qn21j.htm/, Retrieved Fri, 23 Oct 2009 16:06:22 +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/23/t1256306782i7mxnst664qn21j.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:

workshop 3 part 2 assumpties 4plot geboortecijfer

IsPrivate?

No (this computation is public)

User-defined keywords:

workshop 3 part 2 assumpties 4plot geboortecijfer

Dataseries X:

» Textbox « » Textfile « » CSV «

45319 46603 47943 45773 53225 57281 62241 61814 70727 67625 65618 63052 62410 60571 62543 62985 62739 63552 64171 63063 62985 63005 61880 62555 62254 63290 65570 66277 67061 66779 67350 67746 64551 65550 64260 61208 59603 56345 53474 50877 51749 51580 51039 50708 51245 49937 50274 51134 52514 54027 57526 59303 60939 60808 60109 59678 60092 60292 60927 59801 58352 59298 59234 56696 55434 56458 56951 56756 58545 58459

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	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Descriptive Statistics
# observations	70
minimum	45319
Q1	55661.75
median	60100.5
mean	59024.8571428571
Q3	63000
maximum	70727

Charts produced by software:

http://www.freestatistics.org/blog/date/2009/Oct/23/t1256306782i7mxnst664qn21j/125lv1256306649.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/23/t1256306782i7mxnst664qn21j/125lv1256306649.ps (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/23/t1256306782i7mxnst664qn21j/2i1k41256306649.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/23/t1256306782i7mxnst664qn21j/2i1k41256306649.ps (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/23/t1256306782i7mxnst664qn21j/3iir51256306649.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/23/t1256306782i7mxnst664qn21j/3iir51256306649.ps (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/23/t1256306782i7mxnst664qn21j/43duu1256306649.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/23/t1256306782i7mxnst664qn21j/43duu1256306649.ps (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/23/t1256306782i7mxnst664qn21j/5cwsf1256306649.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/23/t1256306782i7mxnst664qn21j/5cwsf1256306649.ps (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/23/t1256306782i7mxnst664qn21j/6jfmj1256306649.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/23/t1256306782i7mxnst664qn21j/6jfmj1256306649.ps (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/23/t1256306782i7mxnst664qn21j/7dgf91256306649.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/23/t1256306782i7mxnst664qn21j/7dgf91256306649.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')

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa

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