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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 computationSun, 21 Dec 2008 12:45:59 -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/Dec/21/t1229888791lh2bj9bb86hmf96.htm/, Retrieved Sun, 19 May 2024 11:30:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35785, Retrieved Sun, 19 May 2024 11:30:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact140

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Explorative Data Analysis] [Investigating dis...] [2007-10-22 19:45:25] [b9964c45117f7aac638ab9056d451faa]
-   PD  [Univariate Explorative Data Analysis] [Task 3: Buitenlan...] [2008-10-27 19:53:20] [504b73e6de93b01331326637b3288ad4]
-   PD    [Univariate Explorative Data Analysis] [Handelsbalans België] [2008-12-21 19:07:51] [504b73e6de93b01331326637b3288ad4]
-    D        [Univariate Explorative Data Analysis] [Handelsbalans België] [2008-12-21 19:45:59] [ba85d9d0a82357dd3edf208eef933423] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1384,2
1368,9
-275,1
-408,9
-37,5
171,5
671,8
-18,5
231,6
747,5
1505,7
-83,6
1173,2
1452,1
777
-52,8
861,2
735,2
1073,6
966,9
1189,8
1093,5
1782,7
-70,4
1471,6
1273,8
900,8
-910,2
299,8
460,2
677,2
937,1
1265,4
1275,6
1582,6
-154,2
1667,6
1083,1
891,7
-26,5
423,4
662,8
711,4
993,3
1133,2
343,9
1415,8
-531,8
1193,6
1201,3
805,6
-164,8
327,3
223,7
675,8
949,7
704,4
265,6
1206
-558,2
1066,8
977,8
207,1
-980,7
-586,4
-24,3
-417,5
104,7
749,5
842,3
1176
-730,3
911,6
662,1
539,1
-236
286,9
497,4
912
519,4
260,1
945,2
412,7
-54,2
592,8
179,9
-548,6
-1685,8
-2041
-1048,7
-1708,4
-1550,7
-1650,2
-911,3

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'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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35785&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35785&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35785&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'George Udny Yule' @ 72.249.76.132






Descriptive Statistics
# observations94
minimum-2041
Q1-48.975
median627.45
mean410.494680851064
Q3989.425
maximum1782.7

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 94 \tabularnewline
minimum & -2041 \tabularnewline
Q1 & -48.975 \tabularnewline
median & 627.45 \tabularnewline
mean & 410.494680851064 \tabularnewline
Q3 & 989.425 \tabularnewline
maximum & 1782.7 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35785&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]94[/C][/ROW]
[ROW][C]minimum[/C][C]-2041[/C][/ROW]
[ROW][C]Q1[/C][C]-48.975[/C][/ROW]
[ROW][C]median[/C][C]627.45[/C][/ROW]
[ROW][C]mean[/C][C]410.494680851064[/C][/ROW]
[ROW][C]Q3[/C][C]989.425[/C][/ROW]
[ROW][C]maximum[/C][C]1782.7[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35785&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35785&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
# observations94
minimum-2041
Q1-48.975
median627.45
mean410.494680851064
Q3989.425
maximum1782.7


Figures (Output of Computation)

Input Parameters & R Code

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