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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 computationWed, 24 Nov 2010 18:11:23 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/24/t1290622185vsoqkugzub24dyc.htm/, Retrieved Fri, 03 May 2024 22:49:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=100474, Retrieved Fri, 03 May 2024 22:49:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact144
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Explorative Data Analysis] [] [2010-11-24 18:11:23] [b7dd4adfab743bef2d672ff51f950617] [Current]
-    D    [Univariate Explorative Data Analysis] [] [2010-12-27 11:53:17] [b2f924a86c4fbfa8afa1027f3839f526]
-           [Univariate Explorative Data Analysis] [Univariate Analys...] [2010-12-27 16:42:23] [fd57ceeb2f72ef497e1390930b11fced]
-             [Univariate Explorative Data Analysis] [] [2010-12-27 20:17:03] [b2f924a86c4fbfa8afa1027f3839f526]
-    D    [Univariate Explorative Data Analysis] [] [2010-12-27 12:39:18] [b2f924a86c4fbfa8afa1027f3839f526]
-    D      [Univariate Explorative Data Analysis] [Univariate Analys...] [2010-12-27 16:43:53] [fd57ceeb2f72ef497e1390930b11fced]
-             [Univariate Explorative Data Analysis] [] [2010-12-27 20:19:42] [b2f924a86c4fbfa8afa1027f3839f526]
-    D    [Univariate Explorative Data Analysis] [] [2011-12-18 16:05:40] [a2638725f7f7c6bd63902ba17eba666b]
-    D    [Univariate Explorative Data Analysis] [] [2011-12-18 16:21:36] [a2638725f7f7c6bd63902ba17eba666b]
- RMPD    [Linear Regression Graphical Model Validation] [] [2011-12-18 16:23:13] [a2638725f7f7c6bd63902ba17eba666b]
- RMPD    [Central Tendency] [] [2011-12-18 21:08:35] [a2638725f7f7c6bd63902ba17eba666b]
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Dataseries X:
186448
190530
194207
190855
200779
204428
207617
212071
214239
215883
223484
221529
225247
226699
231406
232324
237192
236727
240698
240688
245283
243556
247826
245798
250479
249216
251896
247616
249994
246552
248771
247551
249745
245742
249019
245841
248771
244723
246878
246014
248496
244351
248016
246509
249426
247840
251035
250161
254278
250801
253985
249174
251287
247947
249992
243805
255812
250417
253033
248705
253950
251484
251093
245996
252721
248019
250464
245571
252690
250183
253639
254436
265280
268705
270643
271480




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=100474&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]4 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=100474&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=100474&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 time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Descriptive Statistics
# observations76
minimum186448
Q1240695.5
median247893.5
mean241654.552631579
Q3250559.5
maximum271480

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 76 \tabularnewline
minimum & 186448 \tabularnewline
Q1 & 240695.5 \tabularnewline
median & 247893.5 \tabularnewline
mean & 241654.552631579 \tabularnewline
Q3 & 250559.5 \tabularnewline
maximum & 271480 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=100474&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]76[/C][/ROW]
[ROW][C]minimum[/C][C]186448[/C][/ROW]
[ROW][C]Q1[/C][C]240695.5[/C][/ROW]
[ROW][C]median[/C][C]247893.5[/C][/ROW]
[ROW][C]mean[/C][C]241654.552631579[/C][/ROW]
[ROW][C]Q3[/C][C]250559.5[/C][/ROW]
[ROW][C]maximum[/C][C]271480[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=100474&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=100474&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
# observations76
minimum186448
Q1240695.5
median247893.5
mean241654.552631579
Q3250559.5
maximum271480



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')