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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, 20 Nov 2013 17:32:54 -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/2013/Nov/20/t1384986793krsxub8xbp5jyob.htm/, Retrieved Wed, 01 May 2024 17:56:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=226743, Retrieved Wed, 01 May 2024 17:56:04 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact103
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]
- R  D  [Univariate Explorative Data Analysis] [Ws 7 vraag 2 ] [2013-11-19 10:28:47] [16ce55620e4b91ec00a4b56aea2a2582]
- R  D    [Univariate Explorative Data Analysis] [Ws 7 vraag 2] [2013-11-20 22:23:13] [16ce55620e4b91ec00a4b56aea2a2582]
- R PD        [Univariate Explorative Data Analysis] [Ws 7] [2013-11-20 22:32:54] [4c736a442787d42e94a9d9bc48424aaa] [Current]
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Dataseries X:
14 12
18 11
11 15
12 6
16 13
18 10
14 12
14 14
15 12
15 9
17 10
19 12
10 12
16 11
18 15
14 12
14 10
17 12
14 11
16 12
18 11
11 12
14 13
12 11
17 12
9 13
16 10
14 14
15 12
11 10
16 12
13 8
17 10
15 12
14 12
16 7
9 9
15 12
17 10
13 10
15 10
16 12
16 15
12 10
15 10
11 12
15 13
15 11
17 11
13 12
16 14
14 10
11 12
12 13
12 5
15 6
16 12
15 12
12 11
12 10
8 7
13 12
11 14
14 11
15 12
10 13
11 14
12 11
15 12
15 12
14 8
16 11
15 14
15 14
13 12
12 9
17 13
13 11
15 12
13 12
15 12
15 12
16 12
15 11
14 10
15 9
14 12
13 12
7 12
17 9
13 15
15 12
14 12
13 12
16 10
12 13
14 9
17 12
15 10
17 14
12 11
16 15
11 11
15 11
9 12
16 12
15 12
10 11
10 7
15 12
11 14
13 11
14 11
18 10
16 13
14 13
14 8
14 11
14 12
12 11
14 13
15 12
15 14
15 13
13 15
17 10
17 11
19 9
15 11
13 10
9 11
15 8
15 11
15 12
16 12
11 9
14 11
11 10
15 8
13 9
15 8
16 9
14 15
15 11
16 8
16 13
11 12
12 12
9 9
16 7
13 13
16 9
12 6
9 8
13 8
13 15
14 6
19 9
13 11
12 8
13 8
10 10
14 8
16 14
10 10
11 8
14 11
12 12
9 12
9 12
11 5
16 12
9 10
13 7
16 12
13 11
9 8
12 9
16 10
11 9
14 12
13 6
15 15
14 12
16 12
13 12
14 11
15 7
13 7
11 5
11 12
14 12
15 3
11 11
15 10
12 12
14 9
14 12
8 9
13 12
9 12
15 10
17 9
13 12
15 8
15 11
14 11
16 12
13 10
16 10
9 12
16 12
11 11
10 8
11 12
15 10
17 11
14 10
8 8
15 12
11 12
16 10
10 12
15 9
9 9
16 6
19 10
12 9
8 9
11 9
14 6
9 10
15 6
13 14
16 10
11 10
12 6
13 12
10 12
11 7
12 8
8 11
12 3
12 6
15 10
11 8
13 9
14 9
10 8
12 9
15 7
13 7
13 6
13 9
12 10
12 11
9 12
9 8
15 11
10 3
14 11
15 12
7 7
14 9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'George Udny Yule' @ yule.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 & 4 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226743&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226743&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226743&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'George Udny Yule' @ yule.wessa.net







Descriptive Statistics
# observations264
minimum77
Q1159
median1311
mean1026.90151515152
Q31512
maximum1912

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 264 \tabularnewline
minimum & 77 \tabularnewline
Q1 & 159 \tabularnewline
median & 1311 \tabularnewline
mean & 1026.90151515152 \tabularnewline
Q3 & 1512 \tabularnewline
maximum & 1912 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226743&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]264[/C][/ROW]
[ROW][C]minimum[/C][C]77[/C][/ROW]
[ROW][C]Q1[/C][C]159[/C][/ROW]
[ROW][C]median[/C][C]1311[/C][/ROW]
[ROW][C]mean[/C][C]1026.90151515152[/C][/ROW]
[ROW][C]Q3[/C][C]1512[/C][/ROW]
[ROW][C]maximum[/C][C]1912[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226743&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226743&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
# observations264
minimum77
Q1159
median1311
mean1026.90151515152
Q31512
maximum1912



Parameters (Session):
par1 = 0 ; par2 = 0 ;
Parameters (R input):
par1 = 0 ; par2 = 0 ;
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')