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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 computationMon, 03 Nov 2008 01:35:35 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Nov/03/t1225701384qfiftg12c3rkl8e.htm/, Retrieved Mon, 20 May 2024 10:31:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=20753, Retrieved Mon, 20 May 2024 10:31:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact219
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Explorative Data Analysis] [Investigation Dis...] [2007-10-21 17:06:37] [b9964c45117f7aac638ab9056d451faa]
-   PD  [Univariate Explorative Data Analysis] [Q2 Assumptions] [2008-10-26 14:39:48] [cf9c64468d04c2c4dd548cc66b4e3677]
F   PD    [Univariate Explorative Data Analysis] [Q2 Assumptions] [2008-10-27 09:47:47] [cf9c64468d04c2c4dd548cc66b4e3677]
F    D      [Univariate Explorative Data Analysis] [Task 2] [2008-10-27 19:09:31] [cf9c64468d04c2c4dd548cc66b4e3677]
-   PD          [Univariate Explorative Data Analysis] [verbetering distr...] [2008-11-03 08:35:35] [3817f5e632a8bfeb1be7b5e8c86bd450] [Current]
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Dataseries X:
0.90
1.04
0.98
0.94
1.23
1.05
0.99
0.91
0.98
1.10
1.04
1.05
0.94
0.97
0.98
0.96
1.16
1.09
0.94
0.89
0.99
1.09
0.99
0.99
0.92
0.94
0.99
0.93
1.11
1.08
0.88
0.87
0.98
1.00
1.02
1.00
0.86
0.95
1.00
0.87
1.11
1.01
0.85
0.88
0.94
0.96
1.04
1.01
0.92
0.94
0.99
0.85
1.20
1.01
0.86
0.91
0.89
0.95
0.98
0.96
0.84




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20753&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20753&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20753&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 time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Descriptive Statistics
# observations61
minimum0.84
Q10.92
median0.98
mean0.978688524590164
Q31.01
maximum1.23

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 61 \tabularnewline
minimum & 0.84 \tabularnewline
Q1 & 0.92 \tabularnewline
median & 0.98 \tabularnewline
mean & 0.978688524590164 \tabularnewline
Q3 & 1.01 \tabularnewline
maximum & 1.23 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20753&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]61[/C][/ROW]
[ROW][C]minimum[/C][C]0.84[/C][/ROW]
[ROW][C]Q1[/C][C]0.92[/C][/ROW]
[ROW][C]median[/C][C]0.98[/C][/ROW]
[ROW][C]mean[/C][C]0.978688524590164[/C][/ROW]
[ROW][C]Q3[/C][C]1.01[/C][/ROW]
[ROW][C]maximum[/C][C]1.23[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20753&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20753&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
# observations61
minimum0.84
Q10.92
median0.98
mean0.978688524590164
Q31.01
maximum1.23



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)
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')