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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_edauni.wasp

Title produced by software

Univariate Explorative Data Analysis

Date of computation

Wed, 21 Oct 2009 10:02:49 -0600

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/21/t12561410224w18gmw4xm5s1hj.htm/, Retrieved Sat, 04 May 2024 15:31:18 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49465, Retrieved Sat, 04 May 2024 15:31:18 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

SHW WS 3 - Vraag 2 (1)

Estimated Impact

203

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
- RMPD      [Univariate Explorative Data Analysis] [WS 3 - Vraag 1 (1)] [2009-10-21 15:37:29] [b103a1dc147def8132c7f643ad8c8f84]
- RMP         [Central Tendency] [WS 3 - Vraag 1 (2)] [2009-10-21 15:45:10] [b103a1dc147def8132c7f643ad8c8f84]
- RMPD            [Univariate Explorative Data Analysis] [WS 3 - Vraag 2 (1)] [2009-10-21 16:02:49] [a45cc820faa25ce30779915639528ec2] [Current]
- RMP               [Central Tendency] [WS 3 - Vraag 2 (1)] [2009-10-21 16:06:13] [b103a1dc147def8132c7f643ad8c8f84] 
- RMPD              [Central Tendency] [WS 3 - Vraag 2 (2)] [2009-10-21 16:10:24] [b103a1dc147def8132c7f643ad8c8f84] 
- RMPD              [Central Tendency] [WS 3 - Vraag 2 (2)] [2009-10-21 16:21:46] [b103a1dc147def8132c7f643ad8c8f84] 
- RMPD                [Harrell-Davis Quantiles] [WS 3 - Vraag 3] [2009-10-21 18:16:17] [b103a1dc147def8132c7f643ad8c8f84] 
-    D              [Univariate Explorative Data Analysis] [WS 3 - Vraag 2 (2)] [2009-10-21 16:23:36] [b103a1dc147def8132c7f643ad8c8f84] 
- RMPD              [Central Tendency] [WS 3 - Vraag 2 (3)] [2009-10-21 16:27:53] [b103a1dc147def8132c7f643ad8c8f84] 
- RMPD              [Central Tendency] [WS 3 - Vraag 2 (3)] [2009-10-21 16:30:41] [b103a1dc147def8132c7f643ad8c8f84] 
-    D              [Univariate Explorative Data Analysis] [WS 3 - Vraag 2 (3)] [2009-10-21 16:32:20] [b103a1dc147def8132c7f643ad8c8f84] 
-  M D              [Univariate Explorative Data Analysis] [Paper: Univariate...] [2009-12-17 09:34:52] [b103a1dc147def8132c7f643ad8c8f84] 

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Dataseries X:

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Histogram

Boxplots

-3.8
-4.5
-6.1
-3.4
-2.4
-3.9
-3.1
-3.8
-3.4
-0.8
-2.6
-3.7
-0.5
-3.5
-3.6
-1.4
-1.3
-1.4
-1.1
-2.3
-1.6
0.4
-1.1
-1.5
0.3
-2.9
-2.3
0.1
-1.2
0.9
1
0.1
-0.2
3.5
-0.9
0.7
1
-1.6
-1.1
0.6
1.3
1.4
-0.4
0.6
0.1
2.4
0.1
1.6
1.9
1.2
-0.2
1.2
4
3.1
1.5
4.2
2.9
4.2
5.5
3.5
6.3
4.8
2.3
5.7
5.3
1.6
0
-0.7
-1.2
0.2
-1.5
-2
0.4

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	6 seconds
R Server	'George Udny Yule' @ 72.249.76.132

\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 & 6 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49465&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49465&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49465&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	6 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Descriptive Statistics
# observations	73
minimum	-6.1
Q1	-1.6
median	0
mean	-0.0150684931506849
Q3	1.4
maximum	6.3

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 73 \tabularnewline
minimum & -6.1 \tabularnewline
Q1 & -1.6 \tabularnewline
median & 0 \tabularnewline
mean & -0.0150684931506849 \tabularnewline
Q3 & 1.4 \tabularnewline
maximum & 6.3 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49465&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]73[/C][/ROW]
[ROW][C]minimum[/C][C]-6.1[/C][/ROW]
[ROW][C]Q1[/C][C]-1.6[/C][/ROW]
[ROW][C]median[/C][C]0[/C][/ROW]
[ROW][C]mean[/C][C]-0.0150684931506849[/C][/ROW]
[ROW][C]Q3[/C][C]1.4[/C][/ROW]
[ROW][C]maximum[/C][C]6.3[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49465&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49465&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
# observations	73
minimum	-6.1
Q1	-1.6
median	0
mean	-0.0150684931506849
Q3	1.4
maximum	6.3

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Figure 4

PNG link

Postscript link

PDF link

Figure 5

PNG link

Postscript link

PDF link

Figure 6

PNG link

Postscript link

PDF link

Figure 7

PNG link

Postscript link

PDF link

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')

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Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code