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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_edauni.wasp
Title produced by softwareUnivariate Explorative Data Analysis
Date of computationSat, 03 Dec 2011 07:45:00 -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/Dec/03/t13229163255pf4b47sg4yyuh7.htm/, Retrieved Mon, 29 Apr 2024 02:46:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=150434, Retrieved Mon, 29 Apr 2024 02:46:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact129

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]
- RMPD  [Univariate Explorative Data Analysis] [SHW_WS4_Q3] [2009-10-23 09:32:44] [8b1aef4e7013bd33fbc2a5833375c5f5]
-  M D    [Univariate Explorative Data Analysis] [Paper Regressie A...] [2010-12-03 21:58:57] [814f53995537cd15c528d8efbf1cf544]
- R  D        [Univariate Explorative Data Analysis] [] [2011-12-03 12:45:00] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,552514900
-0,415233631
-0,443505270
-0,269121643
-0,008403113
0,067701517
-0,001956584
0,192909884
-0,267874375
-0,226255248
-0,430298473
-0,638100667
-0,479124765
-1,024474510
-0,348637834
-0,393955343
0,358931095
0,063381185
0,238243996
0,250678752
-0,487515927
-0,225775256
-0,885760418
-0,830655282
0,296897628
-0,344915585
-0,133869039
-0,139756916
0,014602114
0,011865030
0,255115762
0,226820722
-0,309023585
-0,151618802
-0,531858288
-0,429638741
-0,965975558
-1,301831527
0,137422114
0,148700147
0,044143121
0,226631056
0,330163975
0,517790690
-0,011123165
-0,416908592
-0,381488696
-0,031884958
-0,414393439
-0,911095332
-0,457371141
-0,266401460
-0,263471321
-0,134106783
0,055333648
-0,039713557
-0,285383350
-0,167483970
-0,890023318
-0,973150900
-0,185793746
-1,183720382
0,419787663
-0,220470559
0,002758416
0,094605253
-0,203747577
-0,370446898
-0,384431401
-0,050166061
-1,027647092
-0,821409393
-1,373356682
-1,691725416
-0,521561774
-0,449977604
-0,090629713
0,011651815
0,913398739
-0,271811435
-0,168925538
-0,213969528
-0,663331231
-0,668861966
-0,045192980
-0,304069160
-0,190343886
0,074887422
-0,225243865
-0,167614301
-0,135891117
-0,289021535
-0,454125093
-0,337581704
-0,472963398
-1,083843021

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'Gwilym Jenkins' @ jenkins.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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=150434&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=150434&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=150434&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'Gwilym Jenkins' @ jenkins.wessa.net






Descriptive Statistics
# observations96
minimum-1.691725416
Q1-0.45101447625
median-0.226015252
mean-0.2717716018125
Q30.00498176575
maximum0.913398739

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 96 \tabularnewline
minimum & -1.691725416 \tabularnewline
Q1 & -0.45101447625 \tabularnewline
median & -0.226015252 \tabularnewline
mean & -0.2717716018125 \tabularnewline
Q3 & 0.00498176575 \tabularnewline
maximum & 0.913398739 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=150434&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]96[/C][/ROW]
[ROW][C]minimum[/C][C]-1.691725416[/C][/ROW]
[ROW][C]Q1[/C][C]-0.45101447625[/C][/ROW]
[ROW][C]median[/C][C]-0.226015252[/C][/ROW]
[ROW][C]mean[/C][C]-0.2717716018125[/C][/ROW]
[ROW][C]Q3[/C][C]0.00498176575[/C][/ROW]
[ROW][C]maximum[/C][C]0.913398739[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=150434&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=150434&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
# observations96
minimum-1.691725416
Q1-0.45101447625
median-0.226015252
mean-0.2717716018125
Q30.00498176575
maximum0.913398739


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')