Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_edauni.wasp
Title produced by softwareUnivariate Explorative Data Analysis
Date of computationTue, 18 Dec 2007 14:10:49 -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/2007/Dec/18/t1198011229h93f5ncuoibmzf8.htm/, Retrieved Sat, 04 May 2024 19:46:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4614, Retrieved Sat, 04 May 2024 19:46:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsPUEDARM
Estimated Impact257
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Explorative Data Analysis] [Paper - Univerate...] [2007-12-18 21:10:49] [e51d7ab0e549b3dc96ac85a81d9bd259] [Current]
-    D    [Univariate Explorative Data Analysis] [Paper - Univerate...] [2008-12-28 14:26:36] [c29178f7f550574a75dc881e636e0923]
-    D    [Univariate Explorative Data Analysis] [Paper - Univerate...] [2008-12-28 14:30:01] [c29178f7f550574a75dc881e636e0923]
-    D    [Univariate Explorative Data Analysis] [http://www.freest...] [2008-12-28 14:36:31] [c29178f7f550574a75dc881e636e0923]
Feedback Forum

Post a new message
Dataseries X:
2.61072861587664
-1.64151512748939
-5.53397130675664
-11.8684507675144
4.92307208512571
6.26712823161773
-2.76872599233773
-3.56312607919330
3.84610531691476
3.92414528449639
-2.60085355983359
-4.52415672464345
0.712363410392165
-3.83027221556495
1.64369314986718
5.1373157082981
-4.77891279135298
-0.543348509239105
10.7317442356705
-7.66239213978311
-6.30680235597392
-7.34729981849825
0.617800822224108
2.85035364935883
1.77740032934145
-3.90118201853709
4.6323076169406
-1.74030963922678
-3.27944132766354
1.09665938498306
7.05463838922537
2.50775091630909
-4.16477564673257
-3.97156359496111
-4.61876313016936
-1.80864980481552
-0.236907168104795
-3.15041173459177
3.37110805438328
-2.30793345402054
2.737897737493
-1.58208769004317
-2.47767476900079
0.167763916859109
1.76974633325578
0.440544884754961
-2.45008188331654
4.47063460393658
-6.94943202424074
8.91682112964061
-0.296516314946182
2.40580572796091
-1.75212202583747
5.39306701500983
6.30609401440519
7.82784320522538
-2.60554495964265
1.29269020570918
1.09083902934299
0.640809564220057
-0.654553416503333
3.45822878067978
1.27021269162882
-1.88415061828193
0.908614567669563




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4614&T=0

[TABLE]
[ROW][C]Summary of compuational 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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4614&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4614&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Descriptive Statistics
# observations65
minimum-11.8684507675144
Q1-2.76872599233773
median0.167763916859109
mean1.55255249094911e-16
Q32.737897737493
maximum10.7317442356705

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 65 \tabularnewline
minimum & -11.8684507675144 \tabularnewline
Q1 & -2.76872599233773 \tabularnewline
median & 0.167763916859109 \tabularnewline
mean & 1.55255249094911e-16 \tabularnewline
Q3 & 2.737897737493 \tabularnewline
maximum & 10.7317442356705 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4614&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]65[/C][/ROW]
[ROW][C]minimum[/C][C]-11.8684507675144[/C][/ROW]
[ROW][C]Q1[/C][C]-2.76872599233773[/C][/ROW]
[ROW][C]median[/C][C]0.167763916859109[/C][/ROW]
[ROW][C]mean[/C][C]1.55255249094911e-16[/C][/ROW]
[ROW][C]Q3[/C][C]2.737897737493[/C][/ROW]
[ROW][C]maximum[/C][C]10.7317442356705[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4614&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4614&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
# observations65
minimum-11.8684507675144
Q1-2.76872599233773
median0.167763916859109
mean1.55255249094911e-16
Q32.737897737493
maximum10.7317442356705



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)
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')