FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_edauni.wasp
Title produced by softwareUnivariate Explorative Data Analysis
Date of computationThu, 31 Dec 2009 04:25:34 -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/Dec/31/t1262258788y2c47x4y66f6u5x.htm/, Retrieved Thu, 02 May 2024 15:35:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=71450, Retrieved Thu, 02 May 2024 15:35:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact159

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [ARIMA Backward Selection] [] [2009-11-27 14:53:14] [b98453cac15ba1066b407e146608df68]
-   PD    [ARIMA Backward Selection] [Workshop 9 - Arim...] [2009-12-03 16:04:59] [1646a2766cb8c4a6f9d3b2fffef409b3]
- RMPD        [Univariate Explorative Data Analysis] [Paper] [2009-12-31 11:25:34] [3ebad5d90a5c8606f133189c73066208] [Current]
-   PD          [Univariate Explorative Data Analysis] [Paper Run an seq ...] [2010-12-11 15:05:44] [6e6854a111a7f2438dd668bfaa6f3aa0]
- RMPD          [ARIMA Forecasting] [Paper Arima forecast] [2010-12-11 15:15:10] [6e6854a111a7f2438dd668bfaa6f3aa0]
- RMPD          [Multiple Regression] [Paper multi regre...] [2010-12-11 16:45:31] [6e6854a111a7f2438dd668bfaa6f3aa0]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.00129909929391305
0.0399953455650052
-0.0388246377373741
-0.00331410653299091
0.0210839113108800
-0.0306161034410643
-0.0177106810085845
-0.046387990142741
0.000293807560611557
0.0283994201318544
-0.0097276499256617
-0.0226399010542774
-0.0154224216079923
0.0180996287729906
0.0174136599175999
-0.0230868312646511
0.0152995239008014
0.0186909303105856
0.0411546583121751
-0.0309853409627296
0.00641105220624505
0.0159182504768269
-0.0129464581053229
-0.0128078454602796
0.0274724628079561
0.0283118917490450
-0.0263638289790966
0.00959383292935723
0.0166833770244468
0.0265094201387677
-0.00109417116631749
-0.0125243883301391
0.0328788388222352
-0.0150708239891775
0.0280916856622302
0.0249707612360408
0.0417384790369306
-0.0189545400438149
0.0134272541571829
0.00114937541706439
0.0792737906675707
0.00631274994392772
-0.0258498505131595
0.00309104687364825
0.0263272745307186
-0.0872423105882159
-0.0367158144235664
-0.0859756758601653
-0.027777298319539
0.0830853071279365
-0.0362488888752577
-0.0402967807676649
0.0486619532670178
0.00786966021276925
0.0390206657243493
0.0258356960136144
0.00122924684045933
0.00419954182511484
0.0191498676670216
0.00542117110649887
-0.00117174374524698

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' @ 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71450&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71450&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71450&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' @ 72.249.127.135






Descriptive Statistics
# observations61
minimum-0.0872423105882159
Q1-0.0177106810085845
median0.00419954182511484
mean0.0023706320605961
Q30.0249707612360408
maximum0.0830853071279365

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 61 \tabularnewline
minimum & -0.0872423105882159 \tabularnewline
Q1 & -0.0177106810085845 \tabularnewline
median & 0.00419954182511484 \tabularnewline
mean & 0.0023706320605961 \tabularnewline
Q3 & 0.0249707612360408 \tabularnewline
maximum & 0.0830853071279365 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71450&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]61[/C][/ROW]
[ROW][C]minimum[/C][C]-0.0872423105882159[/C][/ROW]
[ROW][C]Q1[/C][C]-0.0177106810085845[/C][/ROW]
[ROW][C]median[/C][C]0.00419954182511484[/C][/ROW]
[ROW][C]mean[/C][C]0.0023706320605961[/C][/ROW]
[ROW][C]Q3[/C][C]0.0249707612360408[/C][/ROW]
[ROW][C]maximum[/C][C]0.0830853071279365[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71450&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71450&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-0.0872423105882159
Q1-0.0177106810085845
median0.00419954182511484
mean0.0023706320605961
Q30.0249707612360408
maximum0.0830853071279365


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')