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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

Tue, 27 Oct 2009 16:55:02 -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/2009/Oct/27/t1256684168rtn29nzjz9yjvm0.htm/, Retrieved Tue, 07 May 2024 15:46:36 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=51306, Retrieved Tue, 07 May 2024 15:46:36 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

verbetering 810

Estimated Impact

187

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

-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
- R PD      [Univariate Data Series] [Part 2 Workshop 3...] [2009-10-15 15:42:20] [757146c69eaf0537be37c7b0c18216d8]
-    D        [Univariate Data Series] [y(t)/x(t)] [2009-10-20 18:40:25] [757146c69eaf0537be37c7b0c18216d8]
- RMP             [Univariate Explorative Data Analysis] [Yt/Xt] [2009-10-27 22:55:02] [88e98f4c87ea17c4967db8279bda8533] [Current]

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Dataseries X:

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Histogram

Boxplots

1.140392008
1.137504274
1.159834936
1.147433743
1.142575967
1.132101412
1.126931141
1.124906831
1.121414029
1.124189564
1.147332194
1.16088965
1.159732954
1.149271297
1.124034478
1.11528473
1.112606844
1.117877155
1.104333685
1.094377176
1.086379426
1.087737651
1.144925934
1.137897599
1.152573213
1.120821074
1.109918637
1.096691942
1.096110373
1.083662288
1.077607353
1.083374478
1.075834902
1.076909009
1.118612239
1.147937004
1.163241926
1.126956016
1.102871415
1.094494335
1.081131503
1.079825864
1.071347826
1.077872448
1.067794251
1.080907455
1.105369888
1.131127639
1.148687448
1.097206532
1.06519025
1.037926932
1.018028268
0.998426144
0.984885242
0.964218483
0.958421393
0.957884306
0.971425735
1.003928803
1.01633089
0.979287348

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	'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51306&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51306&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51306&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	'RServer@AstonUniversity' @ vre.aston.ac.uk

Descriptive Statistics
# observations	62
minimum	0.957884306
Q1	1.077083595
median	1.10360255
mean	1.09233557306452
Q3	1.13185796875
maximum	1.163241926

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 62 \tabularnewline
minimum & 0.957884306 \tabularnewline
Q1 & 1.077083595 \tabularnewline
median & 1.10360255 \tabularnewline
mean & 1.09233557306452 \tabularnewline
Q3 & 1.13185796875 \tabularnewline
maximum & 1.163241926 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51306&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]62[/C][/ROW]
[ROW][C]minimum[/C][C]0.957884306[/C][/ROW]
[ROW][C]Q1[/C][C]1.077083595[/C][/ROW]
[ROW][C]median[/C][C]1.10360255[/C][/ROW]
[ROW][C]mean[/C][C]1.09233557306452[/C][/ROW]
[ROW][C]Q3[/C][C]1.13185796875[/C][/ROW]
[ROW][C]maximum[/C][C]1.163241926[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51306&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51306&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	62
minimum	0.957884306
Q1	1.077083595
median	1.10360255
mean	1.09233557306452
Q3	1.13185796875
maximum	1.163241926

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

Figure 7

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code