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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, 08 Dec 2009 01:53:18 -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/08/t1260262496hqwl2apwunsuzze.htm/, Retrieved Sun, 28 Apr 2024 18:26:00 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=64681, Retrieved Sun, 28 Apr 2024 18:26:00 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

RWS9, uniEDA

Estimated Impact

153

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

-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [ARIMA Backward Selection] [] [2009-11-27 14:53:14] [b98453cac15ba1066b407e146608df68]
- R PD    [ARIMA Backward Selection] [w] [2009-12-03 16:57:40] [315ba876df544ad397193b5931d5f354]
- RMPD        [Univariate Explorative Data Analysis] [] [2009-12-08 08:53:18] [30f5b608e5a1bbbae86b1702c0071566] [Current]

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Dataseries X:

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Histogram

Boxplots

-49.322828262324
-841.66209156776
-727.138222004516
318.026077493937
253.450373319417
914.6690802553
-635.276292032055
18.0104106800424
-1684.42027804526
1829.79157926934
1122.02445633161
-138.587741605063
-1041.88960144429
-174.907981333737
956.760753251256
-918.740049654111
-1804.14307157093
1140.97980241613
840.002279017665
-115.034398254958
-650.674450093417
120.238789014336
88.3004548450432
979.982585943062
83.8113224085503
-1336.40521059876
575.216211739258
428.974795971089
-1102.49592665084
-10.8328456558884
1285.10948100341
-1442.00329332823
1466.60139244046
-992.17610284964
1164.86436419996
-491.534729461495
-952.888440766142
30.7346494726848
-1006.00288970113
-3135.28886696298
-1183.14704042821
-1987.38722599841
-263.359999344463
183.030727592036
-73.5610082898233
108.178427374789
-626.86957318685
965.255827019708

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64681&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64681&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64681&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	4 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Descriptive Statistics
# observations	48
minimum	-3135.28886696298
Q1	-927.277147432119
median	-61.4419182760737
mean	-177.327839959004
Q3	465.535149913131
maximum	1829.79157926934

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 48 \tabularnewline
minimum & -3135.28886696298 \tabularnewline
Q1 & -927.277147432119 \tabularnewline
median & -61.4419182760737 \tabularnewline
mean & -177.327839959004 \tabularnewline
Q3 & 465.535149913131 \tabularnewline
maximum & 1829.79157926934 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64681&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]48[/C][/ROW]
[ROW][C]minimum[/C][C]-3135.28886696298[/C][/ROW]
[ROW][C]Q1[/C][C]-927.277147432119[/C][/ROW]
[ROW][C]median[/C][C]-61.4419182760737[/C][/ROW]
[ROW][C]mean[/C][C]-177.327839959004[/C][/ROW]
[ROW][C]Q3[/C][C]465.535149913131[/C][/ROW]
[ROW][C]maximum[/C][C]1829.79157926934[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64681&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64681&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	48
minimum	-3135.28886696298
Q1	-927.277147432119
median	-61.4419182760737
mean	-177.327839959004
Q3	465.535149913131
maximum	1829.79157926934

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 = 12 ;

Parameters (R input):

par1 = 0 ; par2 = 12 ;

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

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code