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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 08:28:49 -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/t1256135404jq6yo750ctz0838.htm/, Retrieved Thu, 02 May 2024 08:01:59 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49368, Retrieved Thu, 02 May 2024 08:01:59 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

workshop 3 deel 2.3 eda

Estimated Impact

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

-       [Univariate Explorative Data Analysis] [workshop 3 deel 2...] [2009-10-21 14:28:49] [6198946fb53eb5eb18db46bb758f7fde] [Current]

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0,399934319
0,402094483
0,413840465
0,41769597
0,421773812
0,421728159
0,420448844
0,418168871
0,41394247
0,419491756
0,418931641
0,431121329
0,437504246
0,436747812
0,434770429
0,430466243
0,429993174
0,434192053
0,437475305
0,449428904
0,456433147
0,464477714
0,460451751
0,470616958
0,455674518
0,452604032
0,454019481
0,450387747
0,450519858
0,444374599
0,451595471
0,442070639
0,430214821
0,428359923
0,427941082
0,436084416
0,437256451
0,435992141
0,435055566
0,441513836
0,448230261
0,459135121
0,452356157
0,451658155
0,444926134
0,446837485
0,441311793
0,442769291
0,434637126
0,441366029
0,441312468
0,437274135
0,43987734
0,439724254
0,438800956
0,442739125
0,438363286
0,439328277
0,441090932
0,439025957
0,440138453
0,438464971
0,42896355
0,426178903
0,423034344
0,423294812
0,421353873
0,410653049
0,412040464
0,421861821
0,414864122
0,412795347
0,408402345
0,407074304
0,413636086
0,418130501
0,416700587
0,430063694
0,434329797
0,461180028

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49368&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]2 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=49368&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49368&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	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Descriptive Statistics
# observations	80
minimum	0.399934319
Q1	0.42176239875
median	0.436416114
mean	0.4342414971125
Q3	0.4427466665
maximum	0.470616958

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 80 \tabularnewline
minimum & 0.399934319 \tabularnewline
Q1 & 0.42176239875 \tabularnewline
median & 0.436416114 \tabularnewline
mean & 0.4342414971125 \tabularnewline
Q3 & 0.4427466665 \tabularnewline
maximum & 0.470616958 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49368&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]80[/C][/ROW]
[ROW][C]minimum[/C][C]0.399934319[/C][/ROW]
[ROW][C]Q1[/C][C]0.42176239875[/C][/ROW]
[ROW][C]median[/C][C]0.436416114[/C][/ROW]
[ROW][C]mean[/C][C]0.4342414971125[/C][/ROW]
[ROW][C]Q3[/C][C]0.4427466665[/C][/ROW]
[ROW][C]maximum[/C][C]0.470616958[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49368&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49368&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	80
minimum	0.399934319
Q1	0.42176239875
median	0.436416114
mean	0.4342414971125
Q3	0.4427466665
maximum	0.470616958

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

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code