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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_edauni.wasp
Title produced by softwareUnivariate Explorative Data Analysis
Date of computationThu, 01 Dec 2011 13:21:13 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/01/t1322763807w7aazliwoqr0ob5.htm/, Retrieved Wed, 24 Apr 2024 20:08:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=149929, Retrieved Wed, 24 Apr 2024 20:08:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [SHW_WS3_Yt=c+Xt] [2009-10-16 08:10:06] [8b1aef4e7013bd33fbc2a5833375c5f5]
- RMPD  [Univariate Explorative Data Analysis] [] [2009-11-02 10:43:25] [8b1aef4e7013bd33fbc2a5833375c5f5]
-   PD    [Univariate Explorative Data Analysis] [Paper univariate 2] [2010-12-04 10:09:17] [814f53995537cd15c528d8efbf1cf544]
- R  D        [Univariate Explorative Data Analysis] [] [2011-12-01 18:21:13] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-10,699666889
-10,699356527
-10,699192080
-10,698752525
-10,698169031
-10,697950470
-10,698142302
-10,697770508
-10,697918014
-10,698649295
-10,699084164
-10,699368160
-10,699663433
-10,699432825
-10,699286811
-10,699007357
-10,698298016
-10,698108662
-10,697747259
-10,697680599
-10,698332472
-10,698193904
-10,699250121
-10,699651752
-10,699585586
-10,699207766
-10,699149678
-10,698867018
-10,698392245
-10,697883139
-10,697883724
-10,697756604
-10,698117798
-10,698781337
-10,698965351
-10,699546017
-10,699767935
-10,699685923
-10,699068980
-10,698825724
-10,698359301
-10,697654921
-10,697674141
-10,697634783
-10,698138913
-10,699086600
-10,699037681
-10,699569089
-10,699691030
-10,699417657
-10,699257760
-10,698667307
-10,698419948
-10,697942439
-10,697857143
-10,697588671
-10,697957337
-10,698608137
-10,699220368
-10,699693154
-10,699531919
-10,699744979
-10,699308025
-10,698736270
-10,698416824
-10,697741298
-10,697587518
-10,697763876
-10,697789614
-10,698299361
-10,699243552
-10,699626985
-10,699824851
-10,699731903
-10,699525016
-10,698881943
-10,698271034
-10,697853332
-10,697475579
-10,697885314
-10,697604167
-10,698228101
-10,698863494
-10,699323239
-10,699240987
-10,699253813
-10,699113573
-10,698312883
-10,698163984
-10,697744555
-10,697804722
-10,697736842
-10,698157104
-10,698749850
-10,699228325
-10,699524913

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\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' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149929&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149929&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149929&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Descriptive Statistics
# observations96
minimum-10.699824851
Q1-10.69926502275
median-10.69874306
mean-10.6986658763125
Q3-10.69794846225
maximum-10.697475579

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 96 \tabularnewline
minimum & -10.699824851 \tabularnewline
Q1 & -10.69926502275 \tabularnewline
median & -10.69874306 \tabularnewline
mean & -10.6986658763125 \tabularnewline
Q3 & -10.69794846225 \tabularnewline
maximum & -10.697475579 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149929&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]96[/C][/ROW]
[ROW][C]minimum[/C][C]-10.699824851[/C][/ROW]
[ROW][C]Q1[/C][C]-10.69926502275[/C][/ROW]
[ROW][C]median[/C][C]-10.69874306[/C][/ROW]
[ROW][C]mean[/C][C]-10.6986658763125[/C][/ROW]
[ROW][C]Q3[/C][C]-10.69794846225[/C][/ROW]
[ROW][C]maximum[/C][C]-10.697475579[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149929&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149929&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Descriptive Statistics
# observations96
minimum-10.699824851
Q1-10.69926502275
median-10.69874306
mean-10.6986658763125
Q3-10.69794846225
maximum-10.697475579


Figures (Output of Computation)

Input Parameters & R Code

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)
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')