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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 computationSat, 11 Dec 2010 15:05:44 +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/11/t1292079992i84clipczyf23y1.htm/, Retrieved Thu, 02 May 2024 23:58:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=108196, Retrieved Thu, 02 May 2024 23:58:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact143

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [ARIMA Backward Selection] [] [2009-11-27 14:53:14] [b98453cac15ba1066b407e146608df68]
-   PD    [ARIMA Backward Selection] [Workshop 9 - Arim...] [2009-12-03 16:04:59] [1646a2766cb8c4a6f9d3b2fffef409b3]
- RMPD      [Univariate Explorative Data Analysis] [Paper] [2009-12-31 11:25:34] [23722951c28e05bb35cc9a97084fe0d9]
-   PD          [Univariate Explorative Data Analysis] [Paper Run an seq ...] [2010-12-11 15:05:44] [81b44bf7e2a3251743773b0d7e91dd87] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.197299870124694
-7.4891834722532
-2.46357571004573
-11.1352144478093
-8.30666563148338
2.52543893701216
-9.07701600470547
6.13368551812671
-2.75736870709027
6.27193132285353
-4.86579008662195
-16.1915786204687
-6.04877252914152
-16.7022801433001
-12.2750854582395
11.9019305464657
8.86105500160429
-23.4303488204468
4.62806867714669
-9.0040358913486
-4.57543505507405
-1.10614123623148
-20.6385954015612
-14.4684198267564
-3.99999999999997
-4.25613735429343
12.7228091968775
-12.3192977007806
5.36140459843875
6.29824425195156
0.212282472462960
-17.6807022992194
1.63859540156125
5.34035114960969
-14.1070152283177
0.489473275585482
-4.85087787402421
14.8929847716824
-9.17017557480486
14.6807022992194
-30.0421068976581
-4.46841982675639
-6.38245804726782
3.76491609453564
4.02105344882906
0.680702299219377
9.17017557480483
12.4894732755855
-2
-14.5315801732436
-0.212282472462960
-11.6596488503903
3.21228247246296
19.6596488503903
7.04210689765813
-8.17017557480484
6.59648850390312

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108196&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]4 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=108196&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108196&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 time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Descriptive Statistics
# observations57
minimum-30.0421068976581
Q1-9.07701600470547
median-2.46357571004573
mean-2.55426807383316
Q35.34035114960969
maximum19.6596488503903

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 57 \tabularnewline
minimum & -30.0421068976581 \tabularnewline
Q1 & -9.07701600470547 \tabularnewline
median & -2.46357571004573 \tabularnewline
mean & -2.55426807383316 \tabularnewline
Q3 & 5.34035114960969 \tabularnewline
maximum & 19.6596488503903 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108196&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]57[/C][/ROW]
[ROW][C]minimum[/C][C]-30.0421068976581[/C][/ROW]
[ROW][C]Q1[/C][C]-9.07701600470547[/C][/ROW]
[ROW][C]median[/C][C]-2.46357571004573[/C][/ROW]
[ROW][C]mean[/C][C]-2.55426807383316[/C][/ROW]
[ROW][C]Q3[/C][C]5.34035114960969[/C][/ROW]
[ROW][C]maximum[/C][C]19.6596488503903[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108196&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108196&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
# observations57
minimum-30.0421068976581
Q1-9.07701600470547
median-2.46357571004573
mean-2.55426807383316
Q35.34035114960969
maximum19.6596488503903


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')