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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_edauni.wasp
Title produced by softwareUnivariate Explorative Data Analysis
Date of computationWed, 21 Oct 2009 08:14:50 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/21/t1256134552n1h7vprwsrwiaug.htm/, Retrieved Thu, 02 May 2024 05:32:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49363, Retrieved Thu, 02 May 2024 05:32:06 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsworkshop 3 deel 2.2 eda
Estimated Impact67
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Explorative Data Analysis] [workshop 3 deel 2...] [2009-10-21 14:14:50] [6198946fb53eb5eb18db46bb758f7fde] [Current]
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Dataseries X:
-0,9136
-0,90493
-0,88768
-0,86839
-0,85537
-0,84792
-0,85478
-0,85791
-0,8659
-0,85207
-0,85173
-0,82897
-0,82805
-0,8237
-0,82727
-0,83431
-0,83506
-0,83021
-0,82573
-0,80499
-0,79763
-0,78695
-0,80738
-0,80228
-0,83886
-0,84715
-0,84081
-0,85047
-0,85087
-0,86622
-0,85244
-0,87355
-0,8965
-0,89576
-0,88938
-0,86843
-0,85492
-0,86124
-0,86928
-0,8618
-0,85116
-0,82298
-0,8414
-0,84823
-0,86042
-0,85707
-0,86457
-0,86081
-0,87015
-0,87024
-0,86753
-0,872
-0,86763
-0,86557
-0,86868
-0,86342
-0,87503
-0,87975
-0,88017
-0,8731
-0,87344
-0,88088
-0,90081
-0,90899
-0,91726
-0,91823
-0,92404
-0,95209
-0,9532
-0,93219
-0,95816
-0,96924
-0,97868
-0,9823
-0,96064
-0,95863
-0,97446
-0,93954
-0,93856
-0,87305




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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=49363&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=49363&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49363&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Descriptive Statistics
# observations80
minimum-0.9823
Q1-0.895945
median-0.866875
mean-0.874559875
Q3-0.84991
maximum-0.78695

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 80 \tabularnewline
minimum & -0.9823 \tabularnewline
Q1 & -0.895945 \tabularnewline
median & -0.866875 \tabularnewline
mean & -0.874559875 \tabularnewline
Q3 & -0.84991 \tabularnewline
maximum & -0.78695 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49363&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]80[/C][/ROW]
[ROW][C]minimum[/C][C]-0.9823[/C][/ROW]
[ROW][C]Q1[/C][C]-0.895945[/C][/ROW]
[ROW][C]median[/C][C]-0.866875[/C][/ROW]
[ROW][C]mean[/C][C]-0.874559875[/C][/ROW]
[ROW][C]Q3[/C][C]-0.84991[/C][/ROW]
[ROW][C]maximum[/C][C]-0.78695[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49363&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49363&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
# observations80
minimum-0.9823
Q1-0.895945
median-0.866875
mean-0.874559875
Q3-0.84991
maximum-0.78695



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')