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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

Mon, 27 Oct 2008 14:40:29 -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/2008/Oct/27/t1225140318ua9bfih69137ivj.htm/, Retrieved Sun, 19 May 2024 14:35:00 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19599, Retrieved Sun, 19 May 2024 14:35:00 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

151

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

F     [Univariate Explorative Data Analysis] [Investigating dis...] [2007-10-22 19:45:25] [b9964c45117f7aac638ab9056d451faa]
F    D  [Univariate Explorative Data Analysis] [Q7 tijdreeks werk...] [2008-10-27 16:45:31] [7d3039e6253bb5fb3b26df1537d500b4]
F           [Univariate Explorative Data Analysis] [Q7 tijdreeks werk...] [2008-10-27 20:40:29] [70ba55c7ff8e068610dc28fc16e6d1e2] [Current]

Feedback Forum

2008-11-02 18:10:42 [Evelyn Ongena] [reply] 
Om voorwaarden te kunnen nagaan is het aangeraden om de r code aan te passen zodanig dat we lag plots te zien krijgen. Deze hebben we nodig om de eerste voorwaarde na te gaan, de student had naar deze grafiek moeten kijken ipv naar de run sequence plot. 

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Dataseries X:

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Histogram

Boxplots

0.939759036
0.926829268
0.9375
0.962025316
0.986842105
0.960526316
0.926829268
0.903614458
0.904761905
0.94047619
0.94047619
0.941860465
0.921348315
0.909090909
0.903614458
0.906666667
0.902777778
0.88
0.863636364
0.860215054
0.860215054
0.885057471
0.914634146
0.915662651
0.905882353
0.918604651
0.906976744
0.914634146
0.925925926
0.8875
0.872093023
0.862068966
0.863636364
0.905882353
0.916666667
0.929411765
0.931034483
0.942528736
0.953488372
0.952941176
0.951807229
0.901234568
0.841463415
0.814814815
0.827160494
0.873417722
0.886075949
0.898734177
0.9
0.8875
0.873417722
0.875
0.883116883
0.888888889
0.893333333
0.917808219
0.914285714
0.9
0.885714286
0.902777778
0.931506849
0.957746479
0.955882353
0.954545455
0.951612903
0.951612903
0.941176471
0.927536232

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=19599&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=19599&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19599&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	68
minimum	0.814814815
Q1	0.88714398725
median	0.9080338265
mean	0.90988038157353
Q3	0.938064759
maximum	0.986842105

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 68 \tabularnewline
minimum & 0.814814815 \tabularnewline
Q1 & 0.88714398725 \tabularnewline
median & 0.9080338265 \tabularnewline
mean & 0.90988038157353 \tabularnewline
Q3 & 0.938064759 \tabularnewline
maximum & 0.986842105 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19599&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]68[/C][/ROW]
[ROW][C]minimum[/C][C]0.814814815[/C][/ROW]
[ROW][C]Q1[/C][C]0.88714398725[/C][/ROW]
[ROW][C]median[/C][C]0.9080338265[/C][/ROW]
[ROW][C]mean[/C][C]0.90988038157353[/C][/ROW]
[ROW][C]Q3[/C][C]0.938064759[/C][/ROW]
[ROW][C]maximum[/C][C]0.986842105[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19599&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19599&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	68
minimum	0.814814815
Q1	0.88714398725
median	0.9080338265
mean	0.90988038157353
Q3	0.938064759
maximum	0.986842105

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

Parameters (Session):

par1 = 0 ; par2 = 0 ;

Parameters (R input):

par1 = 0 ; par2 = 0 ;

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)
grid()
dev.off()
if (par2 > 0)
{
bitmap(file='lagplot.png')
dum <- cbind(lag(x,k=1),x)
dum
dum1 <- dum[2:length(x),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Lag plot, lowess, and regression line'))
lines(lowess(z))
abline(lm(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