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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_edauni.wasp
Title produced by softwareUnivariate Explorative Data Analysis
Date of computationTue, 29 Dec 2009 03:04:25 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/29/t1262081119ntntm4lvlaaesuh.htm/, Retrieved Fri, 03 May 2024 08:21:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=71081, Retrieved Fri, 03 May 2024 08:21:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsPaper
Estimated Impact155

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Explorative Data Analysis] [SHW_WS4_Q2(2)] [2009-10-23 08:55:58] [8b1aef4e7013bd33fbc2a5833375c5f5]
-  M D  [Bivariate Explorative Data Analysis] [paper] [2009-11-22 08:33:39] [8b1aef4e7013bd33fbc2a5833375c5f5]
- RM D    [Univariate Explorative Data Analysis] [paper] [2009-11-22 09:17:04] [8b1aef4e7013bd33fbc2a5833375c5f5]
- R  D        [Univariate Explorative Data Analysis] [model_3et] [2009-12-29 10:04:25] [5b5bced41faf164488f2c271c918b21f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-4483,592838
-4642,372689
-4838,847424
-5040,46077
-4850,598143
-4806,134656
-5388,033015
-4987,408778
-5596,09098
-6513,501801
-7026,35819
-6932,059651
-8710,984942
-10286,65026
-10536,06841
-13401,59691
-12720,01639
-14758,70399
-19759,33364
-17082,38369
-25204,40303
-53473,56064
-533854,518
79964,4174
42900,581
67740,0525
46891,87093
82834,98699
1002202,245
369405,6774
-1405538,181
522230,6674
89126,53922
34483,04518
21948,21747
23397,25327
18443,57832
18722,3487
17617,49116
16549,70171
13952,43997
13540,98762
14506,52086
13245,89019
12092,74561
9120,933435
8315,807923
8210,018329
7453,921303
7464,41041
7534,226917
7844,435244
8341,584581
9025,764722
8684,589831
8843,29442
7605,314397
5977,279704
4023,149798
3838,307734

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' @ 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=71081&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=71081&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71081&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' @ 72.249.127.135






Descriptive Statistics
# observations60
minimum-1405538.181
Q1-5825.44368525
median7569.770657
mean7394.14061351666
Q316816.6490725
maximum1002202.245

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 60 \tabularnewline
minimum & -1405538.181 \tabularnewline
Q1 & -5825.44368525 \tabularnewline
median & 7569.770657 \tabularnewline
mean & 7394.14061351666 \tabularnewline
Q3 & 16816.6490725 \tabularnewline
maximum & 1002202.245 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71081&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]60[/C][/ROW]
[ROW][C]minimum[/C][C]-1405538.181[/C][/ROW]
[ROW][C]Q1[/C][C]-5825.44368525[/C][/ROW]
[ROW][C]median[/C][C]7569.770657[/C][/ROW]
[ROW][C]mean[/C][C]7394.14061351666[/C][/ROW]
[ROW][C]Q3[/C][C]16816.6490725[/C][/ROW]
[ROW][C]maximum[/C][C]1002202.245[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71081&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71081&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
# observations60
minimum-1405538.181
Q1-5825.44368525
median7569.770657
mean7394.14061351666
Q316816.6490725
maximum1002202.245


Figures (Output of Computation)

Input Parameters & R Code

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')