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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, 22 Dec 2009 02:10:09 -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/22/t1261473108d95cfcjah7alv70.htm/, Retrieved Sat, 04 May 2024 12:11:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=70413, Retrieved Sat, 04 May 2024 12:11:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact168
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Explorative Data Analysis] [Paper: ARIMA: Tes...] [2009-12-22 09:10:09] [762da55b2e2304daaed24a7cc507d14d] [Current]
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Dataseries X:
-0.325268940652250
0.174803600738832
0.501377605018886
0.0859193298655126
-0.987159360948653
1.60980144119294
0.171696135380085
0.830277801292865
0.620654556971156
-1.01610741303737
1.79309605723783
0.506513108486633
0.267689829297541
0.733670677239202
0.224067410538229
1.47684633432560
-0.851788714449576
0.797595345615805
-0.27480267237158
0.0838834586911507
-0.121505653550161
0.631202199065368
0.0782854866315957
0.764708828909565
-0.175870900848487
0.303658167461428
0.334813565364407
-0.78903961133057
0.548615446736318
1.10803873923536
-0.317891120456626
0.9901703953356
-0.384820110488252
0.368519360304957
0.254786797238417
-0.174145843270876
0.67535792035457
1.44301427700514
0.760082666024789
1.38938642804491
-0.464062381606388
0.425484373422507
0.391704064700779
0.0515364779754748
0.972875806223118
0.55823387433218
1.03687475153784
-1.73799567103410
0.0273213342655299
-1.14728571478772
-0.270507966751069
-0.679168823987675
-0.939028021983555
-0.2782918641341
-0.137673442418869
-0.612554173793871
-1.40158680260588
0.824977600305121
-0.254161313717333
-0.474379671661846
-1.45888578840602
0.158712807341798
0.42684360859133
0.533838048801584
-0.62756770632153
0.62119253835102
-0.596208725794837
0.307750900244233
0.88681798267684
0.892590640076497
0.661243897634714
0.511811081466187
-1.42764204541458
0.203723265798547
0.722114552246169
-1.78484681219131
-1.02745593312050
-0.0995958911573627
-1.42936754519820
-1.57611650808341
0.854828513620954
0.586553281789383
-1.16196477262354
-2.04343799438004
0.405786986779646
-0.372184126642192
-0.104779273295343
1.82824440149189
1.16865912540444
0.356830409107125
0.119057088663047
1.77565157768908
-1.49131443486346
-0.200217727321004
0.0298928204546468
-1.67852086311231
-1.01495199118528
0.255173067016221
-0.672832416453207
0.659128650175414
-0.0965875846564268
-0.646183795439774
-0.0434058058236342
-1.52225523739414
0.383278501531744
2.54996816693744
-1.40741391717925
-2.48687186705108
-1.01554045514841
0.509294766709254
1.24143160200711
-0.185246318721566
0.39688456930075
-0.242001609810631
0.716286944222023
0.0699549556395686
-0.138806717848701
0.615219389201853
-1.77249350687623
0.087103545072493
-0.96891948815133
-0.50960721877958
0.404822542358774
-0.0736712799438494
-0.905700376721695
1.79089536112799
-0.790284604706349
0.221173229032318
-0.140361653105643
1.80511090275527
-1.15473965738908
0.317515548081165
-1.34186790295649
-1.02981734533104
1.48189631421005
0.875905387613113
0.95472158757434
0.361064161739099
1.04329527780004
-0.876172593661597
0.42120464743111
-0.698371027826438
3.54754447079534
0.45117847934413
-3.48538269140986
-0.155096043035555
-0.079357742699155
1.52281022071598
1.43570676791519
-0.615276485856994
0.356078442212051
0.541469521644917
1.50492205932887
-3.7720621054139
0.213632092332079
1.33994771296635
2.67825338773539
0.063316954315315
0.367484253435371
-0.0283276572277870
-0.110324673504478
1.22374472834180
-0.435851235691176
0.934970648285374
0.577832959108354
-1.20771053506042
0.292021166283429
-1.35108168774920
-1.22130727655887
1.08234779980742
0.464910763590748
0.802771961019954
0.525532038555883
-1.47540220075188
0.344476626736514
0.541653951215843
-1.38774551083857
0.365170239831711
1.29208061611421
2.06853524478187
-0.407308651738156
-1.19873665066815
-2.07543702306924
0.386589322014422
0.753911828685413
-0.123281903338415
0.548886717595287
-0.265125891167525
-0.0222764194572018
-2.09084211290852
0.440453670194936
-1.77122200580385
0.284848672920714
0.316954751725844
-0.244506761135233
0.5319161211438
-0.288866519494615
1.01463395174541
1.37270239692662
-0.301359369584999
-1.19603788903969
-1.47897908540647
-0.414176625776648
-3.40106461721486
-0.472479772630227
-1.65041714824595
2.05175685598916
-0.902464685057427
-0.602947860990191
0.818516482836542
-1.59210559699142
-1.76816394085798
1.93284775246144
0.227267023304705
-2.88157270223229
2.21075106222068
0.674128651962353
1.99963127057584
0.0183623571902152
-0.0312894695077324
-0.39966157084491
0.72139904577073
-1.96806757395163
3.21864918928638
-1.20224319686796
-1.32275450875619
-0.268255724957080
0.560341123135318
2.62120611624231
2.04599601516761
1.49983429778472
1.85337545161847
2.29366444684220
0.116117094486825
-0.579730364351328
0.436696611402682
-1.02200667391198
-0.726229843542471
-1.30420266077865
-1.07800520610845
0.604162662833211




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70413&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70413&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70413&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Descriptive Statistics
# observations241
minimum-3.7720621054139
Q1-0.646183795439774
median0.119057088663047
mean0.0378379890724161
Q30.661243897634714
maximum3.54754447079534

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 241 \tabularnewline
minimum & -3.7720621054139 \tabularnewline
Q1 & -0.646183795439774 \tabularnewline
median & 0.119057088663047 \tabularnewline
mean & 0.0378379890724161 \tabularnewline
Q3 & 0.661243897634714 \tabularnewline
maximum & 3.54754447079534 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70413&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]241[/C][/ROW]
[ROW][C]minimum[/C][C]-3.7720621054139[/C][/ROW]
[ROW][C]Q1[/C][C]-0.646183795439774[/C][/ROW]
[ROW][C]median[/C][C]0.119057088663047[/C][/ROW]
[ROW][C]mean[/C][C]0.0378379890724161[/C][/ROW]
[ROW][C]Q3[/C][C]0.661243897634714[/C][/ROW]
[ROW][C]maximum[/C][C]3.54754447079534[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70413&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70413&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
# observations241
minimum-3.7720621054139
Q1-0.646183795439774
median0.119057088663047
mean0.0378379890724161
Q30.661243897634714
maximum3.54754447079534



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')