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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 computationFri, 04 Dec 2009 14:35:31 -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/04/t1259962571p4jc5o0um62f0le.htm/, Retrieved Sat, 27 Apr 2024 15:09:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=64165, Retrieved Sat, 27 Apr 2024 15:09:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104

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] [WS9] [2009-12-03 23:50:09] [37a8d600db9abe09a2528d150ccff095]
- RMPD      [Harrell-Davis Quantiles] [] [2009-12-04 21:24:16] [74be16979710d4c4e7c6647856088456]
- RMP           [Univariate Explorative Data Analysis] [] [2009-12-04 21:35:31] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-913.737775198605
23.1096757663404
456.385648731541
889.128571736973
836.385206042615
-2533.95352697662
-719.35167446997
-3745.06373199603
613.859653253457
659.119496405595
1059.93335663275
165.153227385284
-1259.25875793442
352.916648547945
-952.712549002952
3949.62792687456
2706.88419408659
-1983.44023600318
-5671.75150480296
-4491.18740262067
1977.74056046666
-7402.19548345163
-804.84956566237
-2561.90617124258
9086.02687097775
-2880.53187045752
-5510.78885909259
271.144630465973
-2568.10406759938
-6098.18357994379
5134.60266836802
4903.82157738512
-6164.11643961637
5797.99522829894
2868.48534028214
6908.93382436188
-2973.44012233353
-2043.11546028487
-2440.32738835400
1872.19672137889
-5813.85059764123
9609.8752579018
178.04755499601
-2432.7338999834
-214.086753766809
5446.18743629832
8510.17950026123
5524.61176329784
2640.19381267409
2753.13135132188
8434.31458855555
-3048.13516086747
-2363.04153284340
1655.57706698231
-2477.35519994173

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64165&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]2 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=64165&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64165&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Descriptive Statistics
# observations55
minimum-7402.19548345163
Q1-2505.65436345918
median165.153227385284
mean276.697273593636
Q32673.53900338034
maximum9609.8752579018

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 55 \tabularnewline
minimum & -7402.19548345163 \tabularnewline
Q1 & -2505.65436345918 \tabularnewline
median & 165.153227385284 \tabularnewline
mean & 276.697273593636 \tabularnewline
Q3 & 2673.53900338034 \tabularnewline
maximum & 9609.8752579018 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64165&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]55[/C][/ROW]
[ROW][C]minimum[/C][C]-7402.19548345163[/C][/ROW]
[ROW][C]Q1[/C][C]-2505.65436345918[/C][/ROW]
[ROW][C]median[/C][C]165.153227385284[/C][/ROW]
[ROW][C]mean[/C][C]276.697273593636[/C][/ROW]
[ROW][C]Q3[/C][C]2673.53900338034[/C][/ROW]
[ROW][C]maximum[/C][C]9609.8752579018[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64165&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64165&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
# observations55
minimum-7402.19548345163
Q1-2505.65436345918
median165.153227385284
mean276.697273593636
Q32673.53900338034
maximum9609.8752579018


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')