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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

Tue, 29 Dec 2009 14:49:08 -0700

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/Dec/29/t12621234269a09qq846bebci8.htm/, Retrieved Fri, 03 May 2024 14:01:58 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=71207, Retrieved Fri, 03 May 2024 14:01:58 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

CaseStatistiek - Univariate Explorative Data Analysis Inflatie

Estimated Impact

188

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

-     [Univariate Data Series] [De Belgische uitv...] [2009-10-13 07:31:00] [df6326eec97a6ca984a853b142930499]
-  MPD  [Univariate Data Series] [CaseStatistiek - ...] [2009-12-28 21:45:49] [df6326eec97a6ca984a853b142930499]
- RMP     [Univariate Explorative Data Analysis] [CaseStatistiek - ...] [2009-12-29 08:52:13] [df6326eec97a6ca984a853b142930499]
-    D        [Univariate Explorative Data Analysis] [CaseStatistiek - ...] [2009-12-29 21:49:08] [0cc924834281808eda7297686c82928f] [Current]

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Dataseries X:

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Histogram

Boxplots

2.1
2.1
2.6
2.6
2.7
2.5
2.4
1.9
2.2
1.9
2
2.2
2.5
2.5
2.7
2.6
2.3
2
2.3
2.9
2.5
2.5
2.3
2.5
2.3
2.4
2.2
2.4
2.6
2.8
2.8
2.5
2.5
2.2
2.1
1.9
1.9
1.7
1.7
1.6
1.4
1.1
0.8
0.9
1
1
1.1
1.3
1.4
1.4
1.6
2
2.1
1.9
1.5
1.2
1.5
2.2
2.1
2.1
2.1
1.9
1.3
1.1
1.4
1.6
1.9
1.7
1.6
1.2
1.3
0.9
0.5
0.8
1
1.3
1.3
1.2
1.2
1
0.8
0.7
0.6
0.7
1
1
1.3
1.1
0.8
0.7
0.7
0.9
1.3
1.4
1.6
2.1
0.3
2.1
2.5
2.3
2.4
3
1.7
3.5
4
3.7
3.7
3
2.7
2.5
2.2
2.9
3.1
3
2.8
2.5
1.9
1.9
1.8
2
2.6
2.5
2.5
1.6
1.4
0.8
1.1
1.3
1.2
1.3
1.1
1.3
1.2
1.6
1.7
1.5
0.9
1.5
1.4
1.6
1.7
1.4
1.8
1.7
1.4
1.2
1
1.7
2.4
2
2.1
2
1.8
2.7
2.3
1.9
2
2.3
2.8
2.4
2.3
2.7
2.7
2.9
3
2.2
2.3
2.8
2.8
2.8
2.2
2.6
2.8
2.5
2.4
2.3
1.9
1.7
2
2.1
1.7
1.8
1.8
1.8
1.3
1.3
1.3
1.2
1.4
2.2
2.9
3.1
3.5
3.6
4.4
4.1
5.1
5.8
5.9
5.4
5.5
4.8
3.2
2.7
2.1
1.9
0.6
0.7
-0.2
-1
-1.7
-0.7
-1
-0.9

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 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=71207&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=71207&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71207&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	3 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Descriptive Statistics
# observations	214
minimum	-1.7
Q1	1.3
median	1.9
mean	1.96168224299065
Q3	2.5
maximum	5.9

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 214 \tabularnewline
minimum & -1.7 \tabularnewline
Q1 & 1.3 \tabularnewline
median & 1.9 \tabularnewline
mean & 1.96168224299065 \tabularnewline
Q3 & 2.5 \tabularnewline
maximum & 5.9 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71207&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]214[/C][/ROW]
[ROW][C]minimum[/C][C]-1.7[/C][/ROW]
[ROW][C]Q1[/C][C]1.3[/C][/ROW]
[ROW][C]median[/C][C]1.9[/C][/ROW]
[ROW][C]mean[/C][C]1.96168224299065[/C][/ROW]
[ROW][C]Q3[/C][C]2.5[/C][/ROW]
[ROW][C]maximum[/C][C]5.9[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71207&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71207&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	214
minimum	-1.7
Q1	1.3
median	1.9
mean	1.96168224299065
Q3	2.5
maximum	5.9

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')

Free Statistics

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Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code