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Description of Statistical Computation

Author's title

Investigation validity (productie kledij – afzet binnenlandse markt) / tota...

Author*Unverified author*
R Software Modulerwasp_edauni.wasp
Title produced by softwareUnivariate Explorative Data Analysis
Date of computationMon, 27 Oct 2008 13:44:15 -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/2008/Oct/27/t1225136704wzcnxupvi3s5d2s.htm/, Retrieved Sun, 19 May 2024 14:05:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19496, Retrieved Sun, 19 May 2024 14:05:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126

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] [Investigation val...] [2008-10-26 16:57:19] [2d9298e0f43790a501ecec52b0f4048b]
F   PD    [Univariate Explorative Data Analysis] [Investigation val...] [2008-10-27 19:44:15] [46e0445318a71ab85f6f82e54c656dac] [Current]
Feedback Forum
2008-11-03 09:28:22 [Siem Van Opstal] [reply] 
Zeer goed nieuw model, met juiste conclusies

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.08423913
-0.116182573
-0.053974485
-0.018832392
-0.166666667
-0.203801478
0.040594059
0.074040219
-0.065493646
-0.312017641
-0.064449064
-0.059313215
-0.033962264
-0.087293889
-0.154901961
-0.129894938
-0.140697674
-0.271444083
0.089803555
0.022202487
-0.180924287
-0.35326087
0.001026694
-0.020618557
-0.064516129
-0.085686465
-0.212028542
-0.136842105
-0.176201373
-0.337041157
0.003642987
-0.025962399
-0.165314402
-0.273477812
-0.094637224
-0.07628866
0.021295475
-0.127308066
-0.227926078
-0.046678636
-0.188787185
-0.25
0.021910605
-0.066183137
-0.136669875
-0.24507874
-0.204016913
-0.099061522
-0.055396371
-0.162451362
-0.236493374
-0.091308165
-0.275648949
-0.267502612
-0.038869258
-0.144475921
-0.105698529
-0.262952102
-0.128282828
-0.063555114
0.027705628

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19496&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]3 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=19496&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19496&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 time3 seconds
R Server'George Udny Yule' @ 72.249.76.132






Descriptive Statistics
# observations61
minimum-0.35326087
Q1-0.188787185
median-0.105698529
mean-0.116714915573770
Q3-0.046678636
maximum0.089803555

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 61 \tabularnewline
minimum & -0.35326087 \tabularnewline
Q1 & -0.188787185 \tabularnewline
median & -0.105698529 \tabularnewline
mean & -0.116714915573770 \tabularnewline
Q3 & -0.046678636 \tabularnewline
maximum & 0.089803555 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19496&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]61[/C][/ROW]
[ROW][C]minimum[/C][C]-0.35326087[/C][/ROW]
[ROW][C]Q1[/C][C]-0.188787185[/C][/ROW]
[ROW][C]median[/C][C]-0.105698529[/C][/ROW]
[ROW][C]mean[/C][C]-0.116714915573770[/C][/ROW]
[ROW][C]Q3[/C][C]-0.046678636[/C][/ROW]
[ROW][C]maximum[/C][C]0.089803555[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19496&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19496&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
# observations61
minimum-0.35326087
Q1-0.188787185
median-0.105698529
mean-0.116714915573770
Q3-0.046678636
maximum0.089803555


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')