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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 computationWed, 21 Oct 2009 10:39:50 -0600
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/Oct/21/t1256143224l9lx9rrcf02z9nh.htm/, Retrieved Thu, 02 May 2024 11:21:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49496, Retrieved Thu, 02 May 2024 11:21:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
- RMPD      [Central Tendency] [] [2009-10-21 15:49:56] [9b30bff5dd5a100f8196daf92e735633]
- RMPD          [Univariate Explorative Data Analysis] [] [2009-10-21 16:39:50] [54e293c1fb7c46e2abc5c1dda68d8adb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5260,04
1438,04
-5923,96
-8842,96
-12720,96
-13688,96
16625,04
30271,04
28726,04
19948,04
1134,04
732,04
2221,04
868,04
-1626,96
-7282,96
-9602,96
-7668,96
26184,04
29489,04
27475,04
22342,04
17072,04
18279,04
20790,04
18811,04
14739,04
14964,04
11146,04
16352,04
51122,04
55743,04
54725,04
44805,04
35609,04
38353,04
41290,04
39866,04
36933,04
31114,04
28196,04
34232,04
62641,04
71790,04
72389,04
74660,04
63858,04
63917,04
60115,04
58654,04
55769,04
49328,04
46694,04
50413,04
79854,04
84076,04
82310,04
70309,04
60305,04
60863,04
59596,04
56042,04
49341,04
45367,04
44801,04
48009,04
76143,04
81461,04
73994,04
55497,04
42294,04
37791,04
37920,04
31056,04
22853,04
18944,04
11359,04
9668,04
43184,04
49976,04
33372,04
22805,04
12802,04
13531,04
14759,04
8900,04
1920,04
-463,96
-9818,96
-2880,96
26823,04
31635,04
17354,04
7454,04
1981,04
6754,04
10281,04
10669,04
9654,04
8950,04
2545,04
10599,04
40238,04

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=49496&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=49496&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49496&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
# observations103
minimum-13688.96
Q19974.54
median28196.04
mean30219.4380582524
Q349658.54
maximum84076.04

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 103 \tabularnewline
minimum & -13688.96 \tabularnewline
Q1 & 9974.54 \tabularnewline
median & 28196.04 \tabularnewline
mean & 30219.4380582524 \tabularnewline
Q3 & 49658.54 \tabularnewline
maximum & 84076.04 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49496&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]103[/C][/ROW]
[ROW][C]minimum[/C][C]-13688.96[/C][/ROW]
[ROW][C]Q1[/C][C]9974.54[/C][/ROW]
[ROW][C]median[/C][C]28196.04[/C][/ROW]
[ROW][C]mean[/C][C]30219.4380582524[/C][/ROW]
[ROW][C]Q3[/C][C]49658.54[/C][/ROW]
[ROW][C]maximum[/C][C]84076.04[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49496&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49496&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
# observations103
minimum-13688.96
Q19974.54
median28196.04
mean30219.4380582524
Q349658.54
maximum84076.04


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')