Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_edauni.wasp

Title produced by software

Univariate Explorative Data Analysis

Date of computation

Sun, 26 Oct 2008 09:01:29 -0600

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/26/t1225033402pmbmklwnknxx6pb.htm/, Retrieved Fri, 17 May 2024 10:06:34 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18915, Retrieved Fri, 17 May 2024 10:06:34 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

177

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

F     [Univariate Explorative Data Analysis] [Investigating dis...] [2007-10-22 19:45:25] [b9964c45117f7aac638ab9056d451faa]
F   PD    [Univariate Explorative Data Analysis] [Q7 Ruwe Aardolie ...] [2008-10-26 15:01:29] [0da3c04827d8ef68db874351a2e09488] [Current]

Feedback Forum

2008-11-03 11:22:59 [Dries Van Gheluwe] [reply] 
Er was een betere oplossing van je vier voorwaarden in Task 1, dit is opgelost volgens het voorbeelddocument van de student. Je kunt de oplossing van de vier voorwaarden vinden in mijn feedback bij Q2.

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

0,987486966
0,991236611
0,985576923
0,975903614
0,969244288
0,964850615
0,952883834
0,949640288
0,954215116
0,939552239
0,948681397
0,966469428
0,96812749
0,98266587
0,977806789
0,96971831
0,982512953
0,989274448
0,995024876
0,995035852
0,988399072
0,997916667
1,001003512
1,012999071
1,014932338
1,017369727
1,018372703
1,016836735
1,016689847
1,008118434
1,005137786
1,010092515
1,013389121
1,012195122
1,015506958
1,016881029
1,012999071
1,012425447
1,012309207
1,006535948
0,997882478
0,999507389
1,003281763
1,007877462
1,007887818
1,00041511
1,00309119
0,997183099
1,004086181
1,000345304
0,997835498
0,993064313
0,991945477
0,966559108
0,979359044
0,983783784
0,986854034
0,978283787
0,968795206
0,964345537
0,960918284

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	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18915&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18915&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18915&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

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	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

Descriptive Statistics
# observations	61
minimum	0.939552239
Q1	0.977806789
median	0.995035852
mean	0.99097246037705
Q3	1.007887818
maximum	1.018372703

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 61 \tabularnewline
minimum & 0.939552239 \tabularnewline
Q1 & 0.977806789 \tabularnewline
median & 0.995035852 \tabularnewline
mean & 0.99097246037705 \tabularnewline
Q3 & 1.007887818 \tabularnewline
maximum & 1.018372703 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18915&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]61[/C][/ROW]
[ROW][C]minimum[/C][C]0.939552239[/C][/ROW]
[ROW][C]Q1[/C][C]0.977806789[/C][/ROW]
[ROW][C]median[/C][C]0.995035852[/C][/ROW]
[ROW][C]mean[/C][C]0.99097246037705[/C][/ROW]
[ROW][C]Q3[/C][C]1.007887818[/C][/ROW]
[ROW][C]maximum[/C][C]1.018372703[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18915&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18915&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Descriptive Statistics
# observations	61
minimum	0.939552239
Q1	0.977806789
median	0.995035852
mean	0.99097246037705
Q3	1.007887818
maximum	1.018372703

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Figure 4

PNG link

Postscript link

PDF link

Figure 5

PNG link

Postscript link

PDF link

Figure 6

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 0 ; par2 = 2 ;

Parameters (R input):

par1 = 0 ; par2 = 2 ;

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)
grid()
dev.off()
if (par2 > 0)
{
bitmap(file='lagplot.png')
dum <- cbind(lag(x,k=1),x)
dum
dum1 <- dum[2:length(x),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Lag plot, lowess, and regression line'))
lines(lowess(z))
abline(lm(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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code