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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 computationTue, 03 Nov 2009 05:07:52 -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/2009/Nov/03/t1257250117z2lmq3qrbzwj0nz.htm/, Retrieved Sun, 28 Apr 2024 16:06:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53125, Retrieved Sun, 28 Apr 2024 16:06:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsJSSHWWS6
Estimated Impact196

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [3/11/2009] [2009-11-02 21:10:41] [b98453cac15ba1066b407e146608df68]
- RMPD    [Univariate Explorative Data Analysis] [Tijdreeks 4] [2009-11-03 12:07:52] [c8fd62404619100d8e91184019148412] [Current]
-    D      [Univariate Explorative Data Analysis] [Multivariate Tijd...] [2009-12-05 14:27:17] [214e6e00abbde49700521a7ef1d30da2]
-    D      [Univariate Explorative Data Analysis] [Multivariate Tijd...] [2009-12-05 14:29:00] [214e6e00abbde49700521a7ef1d30da2]
-    D      [Univariate Explorative Data Analysis] [Multivariate Tijd...] [2009-12-05 14:30:27] [214e6e00abbde49700521a7ef1d30da2]
-    D      [Univariate Explorative Data Analysis] [Multivariate Tijd...] [2009-12-05 14:31:47] [214e6e00abbde49700521a7ef1d30da2]
- RMPD      [Back to Back Histogram] [Back To Back Hist...] [2009-12-05 14:36:09] [214e6e00abbde49700521a7ef1d30da2]
- RMPD      [Kendall tau Correlation Matrix] [Kendal Tau Correl...] [2009-12-05 14:42:32] [214e6e00abbde49700521a7ef1d30da2]
- RM D        [Box-Cox Linearity Plot] [Box Cox Lineairit...] [2009-12-06 15:47:52] [214e6e00abbde49700521a7ef1d30da2]
- RMPD          [Bivariate Kernel Density Estimation] [Bivariate Kernal ...] [2009-12-10 16:40:47] [214e6e00abbde49700521a7ef1d30da2]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
69 698
60 886
67 267
81 723
66 938
117 673
117 873
104 619
105 074
105 856
64 918
59 006
74 269
65 562
66 752
80 732
68 229
116 882
116 855
96 773
104 083
61 344
59 094
50 330
48 842
73 817
56 173
68 407
83 658
102 355
102 600
86 598
92 442
52 663
64 042
51 768
53 708
77 648
60 830
73 504
81 314
92 861
99 861
113 777
77 159
76 573
70 059
56 245
78 970
76 239
76 244
115 187
99 296
156 275
193 294
210 544
146 442
169 727
143 482
82 977

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=53125&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=53125&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53125&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
# observations60
minimum48842
Q166454.5
median78309
mean89133.6166666667
Q3104217
maximum210544

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 60 \tabularnewline
minimum & 48842 \tabularnewline
Q1 & 66454.5 \tabularnewline
median & 78309 \tabularnewline
mean & 89133.6166666667 \tabularnewline
Q3 & 104217 \tabularnewline
maximum & 210544 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53125&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]60[/C][/ROW]
[ROW][C]minimum[/C][C]48842[/C][/ROW]
[ROW][C]Q1[/C][C]66454.5[/C][/ROW]
[ROW][C]median[/C][C]78309[/C][/ROW]
[ROW][C]mean[/C][C]89133.6166666667[/C][/ROW]
[ROW][C]Q3[/C][C]104217[/C][/ROW]
[ROW][C]maximum[/C][C]210544[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53125&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53125&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
# observations60
minimum48842
Q166454.5
median78309
mean89133.6166666667
Q3104217
maximum210544


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')