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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 17:23:13 -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/t1384986201ckx0y41ddmshqi8.htm/, Retrieved Wed, 01 May 2024 22:42:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=226740, Retrieved Wed, 01 May 2024 22:42:17 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact93
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] [4c736a442787d42e94a9d9bc48424aaa] [Current]
- R PD        [Univariate Explorative Data Analysis] [Ws 7] [2013-11-20 22:32:54] [16ce55620e4b91ec00a4b56aea2a2582]
- R PD        [Univariate Explorative Data Analysis] [Ws 7] [2013-11-20 22:32:54] [16ce55620e4b91ec00a4b56aea2a2582]
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Dataseries X:
14 13
18 16
11 19
12 15
16 14
18 13
14 19
14 15
15 14
15 15
17 16
19 16
10 16
16 16
18 17
14 15
14 15
17 20
14 18
16 16
18 16
11 16
14 19
12 16
17 17
9 17
16 16
14 15
15 16
11 14
16 15
13 12
17 14
15 16
14 14
16 10
9 10
15 14
17 16
13 16
15 16
16 14
16 20
12 14
15 14
11 11
15 14
15 15
17 16
13 14
16 16
14 14
11 12
12 16
12 9
15 14
16 16
15 16
12 15
12 16
8 12
13 16
11 16
14 14
15 16
10 17
11 18
12 18
15 12
15 16
14 10
16 14
15 18
15 18
13 16
12 17
17 16
13 16
15 13
13 16
15 16
15 16
16 15
15 15
14 16
15 14
14 16
13 16
7 15
17 12
13 17
15 16
14 15
13 13
16 16
12 16
14 16
17 16
15 14
17 16
12 16
16 20
11 15
15 16
9 13
16 17
15 16
10 16
10 12
15 16
11 16
13 17
14 13
18 12
16 18
14 14
14 14
14 13
14 16
12 13
14 16
15 13
15 16
15 15
13 16
17 15
17 17
19 15
15 12
13 16
9 10
15 16
15 12
15 14
16 15
11 13
14 15
11 11
15 12
13 11
15 16
16 15
14 17
15 16
16 10
16 18
11 13
12 16
9 13
16 10
13 15
16 16
12 16
9 14
13 10
13 17
14 13
19 15
13 16
12 12
13 13
10 13
14 12
16 17
10 15
11 10
14 14
12 11
9 13
9 16
11 12
16 16
9 12
13 9
16 12
13 15
9 12
12 12
16 14
11 12
14 16
13 11
15 19
14 15
16 8
13 16
14 17
15 12
13 11
11 11
11 14
14 16
15 12
11 16
15 13
12 15
14 16
14 16
8 14
13 16
9 16
15 14
17 11
13 12
15 15
15 15
14 16
16 16
13 11
16 15
9 12
16 12
11 15
10 15
11 16
15 14
17 17
14 14
8 13
15 15
11 13
16 14
10 15
15 12
9 13
16 8
19 14
12 14
8 11
11 12
14 13
9 10
15 16
13 18
16 13
11 11
12 4
13 13
10 16
11 10
12 12
8 12
12 10
12 13
15 15
11 12
13 14
14 10
10 12
12 12
15 11
13 10
13 12
13 16
12 12
12 14
9 16
9 14
15 13
10 4
14 15
15 11
7 11
14 14




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 5 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226740&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226740&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226740&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 time5 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Descriptive Statistics
# observations264
minimum104
Q11211.75
median1414
mean1338.47727272727
Q31516
maximum1916

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 264 \tabularnewline
minimum & 104 \tabularnewline
Q1 & 1211.75 \tabularnewline
median & 1414 \tabularnewline
mean & 1338.47727272727 \tabularnewline
Q3 & 1516 \tabularnewline
maximum & 1916 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226740&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]264[/C][/ROW]
[ROW][C]minimum[/C][C]104[/C][/ROW]
[ROW][C]Q1[/C][C]1211.75[/C][/ROW]
[ROW][C]median[/C][C]1414[/C][/ROW]
[ROW][C]mean[/C][C]1338.47727272727[/C][/ROW]
[ROW][C]Q3[/C][C]1516[/C][/ROW]
[ROW][C]maximum[/C][C]1916[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226740&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226740&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
minimum104
Q11211.75
median1414
mean1338.47727272727
Q31516
maximum1916



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')