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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 computationMon, 13 Dec 2010 15:34:16 +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/13/t1292254466o6zl9w2nczdynf7.htm/, Retrieved Mon, 06 May 2024 12:54:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=108960, Retrieved Mon, 06 May 2024 12:54:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact151

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   [Spectral Analysis] [Unemployment] [2010-11-29 09:27:34] [b98453cac15ba1066b407e146608df68]
-   PD    [Spectral Analysis] [Workshop 9 CP (1)] [2010-12-07 15:31:19] [a9e130f95bad0a0597234e75c6380c5a]
-           [Spectral Analysis] [] [2010-12-07 22:07:26] [afdb2fc47981b6a655b732edc8065db9]
- RMPD        [Standard Deviation-Mean Plot] [] [2010-12-12 13:55:03] [afdb2fc47981b6a655b732edc8065db9]
- RMPD            [Univariate Explorative Data Analysis] [] [2010-12-13 15:34:16] [297722d8c88c4886be8e106c47d8f3cc] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-359.571607953986
-2313.40174157408
-458.909041234261
-1511.62520054540
-1412.05101907477
3230.73156376355
-3359.59417563836
-2541.21894821932
872.44414461875
-4810.24424730606
-1719.68834437048
-6765.69231129807
4349.73058653668
540.896815335916
-2779.55375248146
-1525.85298806976
1655.44443186453
2302.85011810251
-837.776439784218
1692.87048596592
-1059.92175870099
91.2248118790486
3701.24902827296
1277.781090107
3758.70389605239
927.892916117894
-968.46413469261
2612.52020748951
-67.9700052554981
-4137.99067058662
3239.07295330528
151.781042841903
597.433769339769
4088.59661045384
2965.97886009382
-404.462070874797
4261.25490001266
1607.61904941779
5571.51047223473
-4651.92096188192
-3206.29864576434
3397.26719770752
2004.89246118837
-2974.16877824417
-4061.09181487588
1539.20943989673
-2972.96243506618
7150.15243163015
167.131979535770

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'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 & 4 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108960&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108960&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108960&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Descriptive Statistics
# observations49
minimum-6765.69231129807
Q1-1719.68834437048
median151.781042841903
mean180.730819801464
Q32302.85011810251
maximum7150.15243163015

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 49 \tabularnewline
minimum & -6765.69231129807 \tabularnewline
Q1 & -1719.68834437048 \tabularnewline
median & 151.781042841903 \tabularnewline
mean & 180.730819801464 \tabularnewline
Q3 & 2302.85011810251 \tabularnewline
maximum & 7150.15243163015 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108960&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]49[/C][/ROW]
[ROW][C]minimum[/C][C]-6765.69231129807[/C][/ROW]
[ROW][C]Q1[/C][C]-1719.68834437048[/C][/ROW]
[ROW][C]median[/C][C]151.781042841903[/C][/ROW]
[ROW][C]mean[/C][C]180.730819801464[/C][/ROW]
[ROW][C]Q3[/C][C]2302.85011810251[/C][/ROW]
[ROW][C]maximum[/C][C]7150.15243163015[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108960&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108960&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
# observations49
minimum-6765.69231129807
Q1-1719.68834437048
median151.781042841903
mean180.730819801464
Q32302.85011810251
maximum7150.15243163015


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = FALSE ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = 3 ; par7 = 1 ; par8 = 2 ; par9 = 1 ;
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')