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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 computationThu, 24 Nov 2011 11:30:23 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/24/t132215225194rn9q72omoftai.htm/, Retrieved Thu, 28 Mar 2024 10:31:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=147052, Retrieved Thu, 28 Mar 2024 10:31:39 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [time effect in su...] [2010-11-17 08:55:33] [b98453cac15ba1066b407e146608df68]
-    D  [Univariate Explorative Data Analysis] [workshop 7 - tuto...] [2010-11-19 11:36:57] [956e8df26b41c50d9c6c2ec1b6a122a8]
-    D    [Univariate Explorative Data Analysis] [WS7 comp 2] [2010-11-23 09:21:46] [dc30d19c3bc2be07fe595ad36c2cf923]
-           [Univariate Explorative Data Analysis] [] [2010-12-02 15:13:01] [2e1e44f0ae3cb9513dc28781dfdb387b]
- R  D          [Univariate Explorative Data Analysis] [WS 7 run sequence...] [2011-11-24 16:30:23] [cca7c4e9d798594cd7da8d83786e39be] [Current]
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Dataseries X:
8
9,300000191
7,5
8,899999619
10,19999981
8,300000191
8,800000191
8,800000191
10,69999981
11,69999981
8,5
8,300000191
8,199999809
7,900000095
10,30000019
7,400000095
9,600000381
9,300000191
10,60000038
9,699999809
11,60000038
8,100000381
9,800000191
7,400000095
9,399999619
11,19999981
9,100000381
10,5
11,89999962
8,399999619
5
9,800000191
9,800000191
10,80000019
10,10000038
10,89999962
9,199999809
8,300000191
7,300000191
9,399999619
9,399999619
9,800000191
3,599999905
8,399999619
10,80000019
10,10000038
9
10
11,30000019
11,30000019
12,80000019
10
6,699999809




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

\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' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147052&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147052&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147052&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' @ jenkins.wessa.net







Descriptive Statistics
# observations53
minimum3.599999905
Q18.300000191
median9.399999619
mean9.30566040971698
Q310.30000019
maximum12.80000019

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 53 \tabularnewline
minimum & 3.599999905 \tabularnewline
Q1 & 8.300000191 \tabularnewline
median & 9.399999619 \tabularnewline
mean & 9.30566040971698 \tabularnewline
Q3 & 10.30000019 \tabularnewline
maximum & 12.80000019 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147052&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]53[/C][/ROW]
[ROW][C]minimum[/C][C]3.599999905[/C][/ROW]
[ROW][C]Q1[/C][C]8.300000191[/C][/ROW]
[ROW][C]median[/C][C]9.399999619[/C][/ROW]
[ROW][C]mean[/C][C]9.30566040971698[/C][/ROW]
[ROW][C]Q3[/C][C]10.30000019[/C][/ROW]
[ROW][C]maximum[/C][C]12.80000019[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147052&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147052&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
# observations53
minimum3.599999905
Q18.300000191
median9.399999619
mean9.30566040971698
Q310.30000019
maximum12.80000019



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')