Free Statistics

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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 computationMon, 02 Nov 2009 03:43:25 -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/02/t1257159240lxk54fvtnfv9uob.htm/, Retrieved Sat, 04 May 2024 08:31:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=52486, Retrieved Sat, 04 May 2024 08:31:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact160
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [SHW_WS3_Yt=c+Xt] [2009-10-16 08:10:06] [8b1aef4e7013bd33fbc2a5833375c5f5]
- RMPD    [Univariate Explorative Data Analysis] [] [2009-11-02 10:43:25] [f0f26816ac6124f58333f11f6c174000] [Current]
-    D      [Univariate Explorative Data Analysis] [ws 3] [2009-11-14 15:26:06] [b5908418e3090fddbd22f5f0f774653d]
- R  D      [Univariate Explorative Data Analysis] [Run_sequence_et] [2009-12-28 13:10:54] [2663058f2a5dda519058ac6b2228468f]
- RMPD        [Harrell-Davis Quantiles] [Harrel-Davis_et] [2009-12-28 13:18:38] [2663058f2a5dda519058ac6b2228468f]
-   PD          [Harrell-Davis Quantiles] [Harrel-Davis_et] [2009-12-28 13:49:16] [2663058f2a5dda519058ac6b2228468f]
-   PD            [Harrell-Davis Quantiles] [Harrell-Davis_et] [2009-12-29 09:57:52] [2663058f2a5dda519058ac6b2228468f]
-    D      [Univariate Explorative Data Analysis] [] [2009-12-30 18:10:18] [55b7a497389226c9339ee8d75ebc3b97]
-    D      [Univariate Explorative Data Analysis] [] [2009-12-30 18:12:55] [55b7a497389226c9339ee8d75ebc3b97]
-    D      [Univariate Explorative Data Analysis] [] [2009-12-30 18:54:35] [55b7a497389226c9339ee8d75ebc3b97]
-    D      [Univariate Explorative Data Analysis] [] [2009-12-30 18:59:41] [55b7a497389226c9339ee8d75ebc3b97]
-   PD      [Univariate Explorative Data Analysis] [Paper univariate 2] [2010-12-04 10:09:17] [814f53995537cd15c528d8efbf1cf544]
- R  D        [Univariate Explorative Data Analysis] [] [2011-12-01 18:21:13] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
-2.02969015
-2.029239482
-2.033801546
-2.036644359
-2.034490446
-2.032001271
-2.030699746
-2.03252381
-2.038987342
-2.040993691
-2.037075472
-2.03754865
-2.04075
-2.040945274
-2.038261272
-2.037953846
-2.0379748
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-2.039284837
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-2.040853659
-2.041885246
-2.041468447
-2.040445725
-2.037787879
-2.038293124
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-2.037595694
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-2.040858586
-2.039697509
-2.036113085
-2.038323477
-2.038952802
-2.040082547
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-2.040747939
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-2.044576174
-2.045057143
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-2.061907895
-2.058198032




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=52486&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=52486&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52486&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 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
# observations224
minimum-2.061907895
Q1-2.04776509725
median-2.0443574265
mean-2.044091612
Q3-2.04085196125
maximum-2.029239482

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 224 \tabularnewline
minimum & -2.061907895 \tabularnewline
Q1 & -2.04776509725 \tabularnewline
median & -2.0443574265 \tabularnewline
mean & -2.044091612 \tabularnewline
Q3 & -2.04085196125 \tabularnewline
maximum & -2.029239482 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52486&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]224[/C][/ROW]
[ROW][C]minimum[/C][C]-2.061907895[/C][/ROW]
[ROW][C]Q1[/C][C]-2.04776509725[/C][/ROW]
[ROW][C]median[/C][C]-2.0443574265[/C][/ROW]
[ROW][C]mean[/C][C]-2.044091612[/C][/ROW]
[ROW][C]Q3[/C][C]-2.04085196125[/C][/ROW]
[ROW][C]maximum[/C][C]-2.029239482[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52486&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52486&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
# observations224
minimum-2.061907895
Q1-2.04776509725
median-2.0443574265
mean-2.044091612
Q3-2.04085196125
maximum-2.029239482



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')