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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, 07 Dec 2010 17:08:05 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/07/t1291741654y4r9sa97m9huljw.htm/, Retrieved Sat, 04 May 2024 01:48:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=106537, Retrieved Sat, 04 May 2024 01:48:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [time effect in su...] [2010-11-17 08:55:33] [b98453cac15ba1066b407e146608df68]
- R  D  [Univariate Explorative Data Analysis] [WS7 Tutorial Popu...] [2010-11-22 10:43:52] [afe9379cca749d06b3d6872e02cc47ed]
-         [Univariate Explorative Data Analysis] [WS 4: Run Sequenc...] [2010-12-02 17:30:51] [4f1a20f787b3465111b61213cdeef1a9]
-    D        [Univariate Explorative Data Analysis] [WS 4: Run Sequenc...] [2010-12-07 17:08:05] [f0b33ae54e73edcd25a3e2f31270d1c9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6282154
4321023
4111912
223193
1491348
1629616
1398893
1926517
983660
1443586
1073089
984885
1405225
227132
929118
1071292
638830
856956
992426
444477
857217
711969
702380
358589
297978
585715
657954
209458
786690
439798
688779
574339
741409
597793
644190
377934
640273
697458
550608
207393
301607
345783
501749
379983
387475
377305
370837
430866
469107
194493
530670
518365
491303
527021
233773
405972
652925
446211
341340
387699
493408
146494
414462
364304
355178
357760
261216
397144
374943
424898
202055
378525
310768
325738
394510
247060
368078
236761
312378
339836
347385
426280
352850
301881
377516
357312
458343
354228
308636
386212
393343
378509
452469
364839
358649
376641
429112
330546
403560
317892

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 3 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106537&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=106537&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106537&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 time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Descriptive Statistics
# observations100
minimum146494
Q1353883.5
median404766
mean662394.59
Q3646373.75
maximum6282154

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 100 \tabularnewline
minimum & 146494 \tabularnewline
Q1 & 353883.5 \tabularnewline
median & 404766 \tabularnewline
mean & 662394.59 \tabularnewline
Q3 & 646373.75 \tabularnewline
maximum & 6282154 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106537&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]100[/C][/ROW]
[ROW][C]minimum[/C][C]146494[/C][/ROW]
[ROW][C]Q1[/C][C]353883.5[/C][/ROW]
[ROW][C]median[/C][C]404766[/C][/ROW]
[ROW][C]mean[/C][C]662394.59[/C][/ROW]
[ROW][C]Q3[/C][C]646373.75[/C][/ROW]
[ROW][C]maximum[/C][C]6282154[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=106537&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106537&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
# observations100
minimum146494
Q1353883.5
median404766
mean662394.59
Q3646373.75
maximum6282154


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')