## Free Statistics

of Irreproducible Research!

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 computationFri, 11 Nov 2011 10:16:38 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/11/t13210251604uiggk6xentujb5.htm/, Retrieved Mon, 15 Apr 2024 14:35:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=141363, Retrieved Mon, 15 Apr 2024 14:35:29 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact111
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Explorative Data Analysis] [Uni EDA Regressie] [2011-11-11 15:16:38] [614dd89c388120cee0dd25886939832b] [Current]
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Dataseries X:
79717000
82855667
79346667
76270333
89532667
83541333
82456000
85818333
92106667
96873333
96580000
87769000
88396000
90995667
92785000
98112667
105779667
103660333
105435000
105204000
107466333
118554333
123614333
125620000
121524333
130830333
138871333
135215667
122096333
130005333
126566000
134808667
138761333
133778333
122598667
116446000
100745333
104419333
103477000
102054333
102446667
99528000
106549667
107587333
117091333
114029667
109721333
114697000
115063667
121234667
118393000
121308000
117579000
117414000
117740333
109417000
116442333
113311000
109391333
107198667

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 2 seconds R Server 'Gertrude Mary Cox' @ cox.wessa.net

\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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141363&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141363&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141363&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 2 seconds R Server 'Gertrude Mary Cox' @ cox.wessa.net

 Descriptive Statistics # observations 60 minimum 76270333 Q1 97802833.5 median 108489333 mean 108613877.733333 Q3 119224416.5 maximum 138871333

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 60 \tabularnewline
minimum & 76270333 \tabularnewline
Q1 & 97802833.5 \tabularnewline
median & 108489333 \tabularnewline
mean & 108613877.733333 \tabularnewline
Q3 & 119224416.5 \tabularnewline
maximum & 138871333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141363&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]60[/C][/ROW]
[ROW][C]minimum[/C][C]76270333[/C][/ROW]
[ROW][C]Q1[/C][C]97802833.5[/C][/ROW]
[ROW][C]median[/C][C]108489333[/C][/ROW]
[ROW][C]mean[/C][C]108613877.733333[/C][/ROW]
[ROW][C]Q3[/C][C]119224416.5[/C][/ROW]
[ROW][C]maximum[/C][C]138871333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141363&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141363&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 Descriptive Statistics # observations 60 minimum 76270333 Q1 97802833.5 median 108489333 mean 108613877.733333 Q3 119224416.5 maximum 138871333

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)dumdum1 <- dum[2:length(x),]dum1z <- as.data.frame(dum1)zplot(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)dumdum1 <- dum[(par2+1):length(x),]dum1z <- as.data.frame(dum1)zmylagtitle <- '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')