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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 10:30:35 -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/t1256142674k1hgx79oc8fj3ry.htm/, Retrieved Thu, 02 May 2024 05:39:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49489, Retrieved Thu, 02 May 2024 05:39:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact111

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 16:30:35] [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 time4 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49489&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49489&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49489&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'George Udny Yule' @ 72.249.76.132






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=49489&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=49489&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49489&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')