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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_edauni.wasp
Title produced by softwareUnivariate Explorative Data Analysis
Date of computationWed, 16 Jan 2008 15:51:16 -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/2008/Jan/16/t1200523647cfhwan956lhsv45.htm/, Retrieved Wed, 15 May 2024 02:55:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=8015, Retrieved Wed, 15 May 2024 02:55:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact283

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [WS2 - Robustness ...] [2007-10-20 13:06:37] [5343e105a400b9e32bf6f011133bbaf4]
- RM D  [Univariate Explorative Data Analysis] [CVWS2WGQ2] [2008-01-06 16:09:55] [74be16979710d4c4e7c6647856088456]
-   PD      [Univariate Explorative Data Analysis] [cvws2q24] [2008-01-16 22:51:16] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-12,7
-2,4
7,1
-3,9
9,5
5
-16,1
-10,8
7
13,6
8,1
-8,1
4,9
-0,8
4,3
4
1,5
5,4
-11,3
-16,4
-2
8,9
-7,2
-18
1,3
6,3
-6
2,8
2
5,1
-7,6
-18,6
5,8
20,3
0,7
-11,2
-5,7
-0,1
3,4
3,3
-1,2
4,2
-8,8
-25,3
8,5
14,5
-3,1
-10,4
-2,9
0,3
22,6
15,4
9
29,1
2,8
-3,8
27,7
28,9
26,5
19,8
13,2
14,1
34,1
30
21,8
32,1
5,3
3
17,1
26,3
38,1
19,5
38
35,5
78,6
62,2
76,9
104,9
32,2
42,5
64,3
74,9
75,4
43
58,7
55,4
76,6
63,3
78,9
82,7

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 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 & 6 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=8015&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]6 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=8015&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8015&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Descriptive Statistics
# observations90
minimum-25.3
Q1-1.1
median6.65
mean16.9311111111111
Q329.05
maximum104.9

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 90 \tabularnewline
minimum & -25.3 \tabularnewline
Q1 & -1.1 \tabularnewline
median & 6.65 \tabularnewline
mean & 16.9311111111111 \tabularnewline
Q3 & 29.05 \tabularnewline
maximum & 104.9 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8015&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]90[/C][/ROW]
[ROW][C]minimum[/C][C]-25.3[/C][/ROW]
[ROW][C]Q1[/C][C]-1.1[/C][/ROW]
[ROW][C]median[/C][C]6.65[/C][/ROW]
[ROW][C]mean[/C][C]16.9311111111111[/C][/ROW]
[ROW][C]Q3[/C][C]29.05[/C][/ROW]
[ROW][C]maximum[/C][C]104.9[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=8015&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8015&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
# observations90
minimum-25.3
Q1-1.1
median6.65
mean16.9311111111111
Q329.05
maximum104.9


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 12 ;
Parameters (R input):
par1 = 0 ; par2 = 12 ;
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')