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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

Thu, 10 Dec 2009 08:38:12 -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/10/t12604599741hs2sr76kc1ctom.htm/, Retrieved Thu, 25 Apr 2024 20:21:21 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=65501, Retrieved Thu, 25 Apr 2024 20:21:21 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

149

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

-     [Univariate Data Series] [Totaal levensmidd...] [2009-11-29 09:56:44] [757146c69eaf0537be37c7b0c18216d8]
- RMPD  [ARIMA Backward Selection] [arima backwards p...] [2009-12-10 13:12:43] [757146c69eaf0537be37c7b0c18216d8]
- RMPD      [Univariate Explorative Data Analysis] [Et assumpties na ...] [2009-12-10 15:38:12] [a931a0a30926b49d162330b43e89b999] [Current]
-             [Univariate Explorative Data Analysis] [Et assumpties na ...] [2009-12-21 15:08:38] [03c44f58d7d4de05d4cfabfda8c46d2c] 
-             [Univariate Explorative Data Analysis] [et assumpties] [2009-12-21 15:35:48] [12f02da0296cb21dc23d82ae014a8b71] 

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Dataseries X:

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Boxplots

9.21658481064732e-06
-0.00029788936701127
-0.000237595445619398
0.000176386639516741
-0.000354517420077153
-0.000704448564633498
0.000513049322447122
-0.000153768338800356
-0.000165495788075780
0.000140072526121174
0.000346620687208592
0.000161916908058288
-0.000165099254299721
-1.69432824053433e-06
-0.000354149939969856
-0.000342774975550734
-4.96908925173395e-06
0.000111232688614015
-5.71770531287065e-05
-0.000121692129730065
0.000224672210051711
-0.000246864010604340
0.000322726843768265
-4.30529292240296e-05
-0.000418419406504748
-0.000378004975610374
-3.24021390863647e-05
-2.7363752224343e-05
-0.000183622849538695
9.90770631009303e-05
0.000173737572911515
-0.000202839888158976
-0.000286608152931299
4.11099519259386e-05
3.30589617581101e-05
-0.00050937217008082
-1.86226730255005e-05
-0.000118364395817495
-0.000351397442503670
-0.000205285906638802
-0.000344501241171445
4.54893857804128e-05
0.000109739140624292
-2.35892220696581e-05
-0.000303095753286898
0.000127032893461342
0.000362429017832127
9.35340989467158e-05
0.00092306316611607
-2.51463122583867e-05
-4.81959851185288e-06
-0.000551396477544085
0.000275472153350846
4.66854128330299e-05
-0.000300923258584334
-0.000370178149715601
7.01982462032013e-06
0.00042811187175734
-0.000220158172407577
0.000276271760846798
-0.000249130118572832

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=65501&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=65501&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=65501&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	61
minimum	-0.000704448564633498
Q1	-0.000249130118572832
median	-2.7363752224343e-05
mean	-5.45689180983375e-05
Q3	0.000109739140624292
maximum	0.00092306316611607

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 61 \tabularnewline
minimum & -0.000704448564633498 \tabularnewline
Q1 & -0.000249130118572832 \tabularnewline
median & -2.7363752224343e-05 \tabularnewline
mean & -5.45689180983375e-05 \tabularnewline
Q3 & 0.000109739140624292 \tabularnewline
maximum & 0.00092306316611607 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=65501&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]61[/C][/ROW]
[ROW][C]minimum[/C][C]-0.000704448564633498[/C][/ROW]
[ROW][C]Q1[/C][C]-0.000249130118572832[/C][/ROW]
[ROW][C]median[/C][C]-2.7363752224343e-05[/C][/ROW]
[ROW][C]mean[/C][C]-5.45689180983375e-05[/C][/ROW]
[ROW][C]Q3[/C][C]0.000109739140624292[/C][/ROW]
[ROW][C]maximum[/C][C]0.00092306316611607[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=65501&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=65501&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	61
minimum	-0.000704448564633498
Q1	-0.000249130118572832
median	-2.7363752224343e-05
mean	-5.45689180983375e-05
Q3	0.000109739140624292
maximum	0.00092306316611607

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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Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code