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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, 22 Dec 2008 11:19:51 -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/2008/Dec/22/t1229970105e4t4lgm8vvlfbtb.htm/, Retrieved Mon, 26 Feb 2024 04:49:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36156, Retrieved Mon, 26 Feb 2024 04:49:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact406
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-           [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [8758b22b4a10c08c31202f233362e983] [Current]
- RMP         [Univariate Data Series] [Identifying Integ...] [2009-11-22 12:08:06] [b98453cac15ba1066b407e146608df68]
-   PD          [Univariate Data Series] [Identifying integ...] [2009-11-23 18:09:03] [d46757a0a8c9b00540ab7e7e0c34bfc4]
-   PD          [Univariate Data Series] [Identifying integ...] [2009-11-23 18:21:34] [d46757a0a8c9b00540ab7e7e0c34bfc4]
-   P             [Univariate Data Series] [] [2009-12-16 14:40:28] [d4e4be187a92369b428eb3a5c1616639]
-   PD              [Univariate Data Series] [] [2010-12-22 14:29:11] [6ba840d2473f9a55d7b3e13093db69b8]
-   PD                [Univariate Data Series] [] [2010-12-22 14:45:01] [6ba840d2473f9a55d7b3e13093db69b8]
-   PD                [Univariate Data Series] [] [2010-12-22 14:48:11] [6ba840d2473f9a55d7b3e13093db69b8]
- RMPD          [(Partial) Autocorrelation Function] [Autocorrelatie mo...] [2009-11-23 21:04:43] [0df1a6455bedfaf424729b1e006090d0]
-   PD            [(Partial) Autocorrelation Function] [Autocorrelatie mo...] [2009-11-23 21:10:32] [0df1a6455bedfaf424729b1e006090d0]
-   PD            [(Partial) Autocorrelation Function] [Autocorrelatie mo...] [2009-11-23 21:12:39] [0df1a6455bedfaf424729b1e006090d0]
-   PD            [(Partial) Autocorrelation Function] [Autocorrelatie mo...] [2009-11-23 21:18:37] [0df1a6455bedfaf424729b1e006090d0]
-   PD          [Univariate Data Series] [] [2009-11-24 09:44:07] [fef2f8976fa1eef1b54e2cee317fe737]
-   PD            [Univariate Data Series] [] [2009-12-18 10:09:47] [fef2f8976fa1eef1b54e2cee317fe737]
-   PD            [Univariate Data Series] [] [2009-12-18 10:16:22] [fef2f8976fa1eef1b54e2cee317fe737]
-   PD          [Univariate Data Series] [Workshop 8] [2009-11-24 11:42:58] [214e6e00abbde49700521a7ef1d30da2]
-   PD            [Univariate Data Series] [WS 8.1 Univariate...] [2009-11-27 20:06:08] [d31db4f83c6a129f6d3e47077769e868]
-   PD          [Univariate Data Series] [SHW WS8] [2009-11-24 11:47:56] [253127ae8da904b75450fbd69fe4eb21]
- R PD          [Univariate Data Series] [werkloosheid van ...] [2009-11-24 12:51:43] [3445d50c581a74ea3ff7b84cc82fcfeb]
- R PD          [Univariate Data Series] [] [2009-11-24 13:43:20] [e2ae2d788de9b949efa455f763351347]
-   PD          [Univariate Data Series] [Totaal Werkzoeken...] [2009-11-24 16:54:07] [ee7c2e7343f5b1451e62c5c16ec521f1]
-   P             [Univariate Data Series] [Totaal Werkzoeken...] [2009-11-24 17:23:40] [ee7c2e7343f5b1451e62c5c16ec521f1]
-   PD              [Univariate Data Series] [] [2009-11-26 08:09:58] [5edbdb7a459c4059b6c3b063ba86821c]
- RMPD              [(Partial) Autocorrelation Function] [] [2009-11-26 08:57:08] [5edbdb7a459c4059b6c3b063ba86821c]
-   P                 [(Partial) Autocorrelation Function] [] [2009-11-26 09:27:18] [5edbdb7a459c4059b6c3b063ba86821c]
-   P                 [(Partial) Autocorrelation Function] [] [2009-11-26 10:12:32] [5edbdb7a459c4059b6c3b063ba86821c]
-    D                  [(Partial) Autocorrelation Function] [] [2009-12-18 11:02:34] [5edbdb7a459c4059b6c3b063ba86821c]
- RMP                 [Spectral Analysis] [] [2009-11-26 10:31:07] [5edbdb7a459c4059b6c3b063ba86821c]
-                       [Spectral Analysis] [] [2009-11-26 10:38:09] [5edbdb7a459c4059b6c3b063ba86821c]
-   P                     [Spectral Analysis] [] [2009-12-12 14:04:21] [5edbdb7a459c4059b6c3b063ba86821c]
-                           [Spectral Analysis] [] [2009-12-12 14:08:32] [5edbdb7a459c4059b6c3b063ba86821c]
-    D                        [Spectral Analysis] [] [2009-12-12 14:15:09] [5edbdb7a459c4059b6c3b063ba86821c]
-   PD                    [Spectral Analysis] [] [2009-12-12 16:40:17] [5edbdb7a459c4059b6c3b063ba86821c]
-   PD                    [Spectral Analysis] [] [2009-12-12 16:55:32] [5edbdb7a459c4059b6c3b063ba86821c]
-   P                     [Spectral Analysis] [] [2009-12-18 10:36:19] [5edbdb7a459c4059b6c3b063ba86821c]
- RMP                       [ARIMA Forecasting] [] [2009-12-18 11:38:59] [5edbdb7a459c4059b6c3b063ba86821c]
- RMPD                      [ARIMA Forecasting] [] [2009-12-18 13:22:49] [5edbdb7a459c4059b6c3b063ba86821c]
-                             [ARIMA Forecasting] [] [2009-12-18 13:28:02] [5edbdb7a459c4059b6c3b063ba86821c]
- RM                    [Standard Deviation-Mean Plot] [] [2009-11-26 10:49:12] [5edbdb7a459c4059b6c3b063ba86821c]
-    D                [(Partial) Autocorrelation Function] [] [2009-12-12 16:20:04] [5edbdb7a459c4059b6c3b063ba86821c]
-   PD              [Univariate Data Series] [Gebruikte Tijdsreeks] [2009-11-26 18:49:28] [9fd30b3a0bda28c32b5ce5483ba9a3b1]
-   PD              [Univariate Data Series] [Indexcijfers van ...] [2009-11-27 11:43:57] [76ab39dc7a55316678260825bd5ad46c]
-    D                [Univariate Data Series] [tijdreeks] [2009-11-27 20:16:51] [4b453aa14d54730625f8d3de5f1f6d82]
-   PD                [Univariate Data Series] [Univariate data-a...] [2009-12-20 22:08:48] [76ab39dc7a55316678260825bd5ad46c]
-   PD              [Univariate Data Series] [] [2009-12-04 16:45:53] [b7349fb284cae6f1172638396d27b11f]
-   PD                [Univariate Data Series] [] [2009-12-06 12:40:12] [f57b281e621ed7dff28b90886f5aa97c]
- RMP                   [ARIMA Forecasting] [] [2009-12-11 11:25:10] [f57b281e621ed7dff28b90886f5aa97c]
-                         [ARIMA Forecasting] [] [2009-12-11 11:37:19] [1eac2882020791f6c49a90a91c34285a]
-   PD                  [Univariate Data Series] [Totale industrië...] [2010-12-18 09:14:16] [0ed8ad64bdfc801eaa95d5097964fc04]

[Truncated]
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Dataseries X:
9700
9081
9084
9743
8587
9731
9563
9998
9437
10038
9918
9252
9737
9035
9133
9487
8700
9627
8947
9283
8829
9947
9628
9318
9605
8640
9214
9567
8547
9185
9470
9123
9278
10170
9434
9655
9429
8739
9552
9687
9019
9672
9206
9069
9788
10312
10105
9863
9656
9295
9946
9701
9049
10190
9706
9765
9893
9994
10433
10073
10112
9266
9820
10097
9115
10411
9678
10408
10153
10368
10581
10597
10680
9738
9556




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=36156&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=36156&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36156&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
# observations75
minimum8547
Q19233
median9655
mean9605.50666666667
Q39946.5
maximum10680

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 75 \tabularnewline
minimum & 8547 \tabularnewline
Q1 & 9233 \tabularnewline
median & 9655 \tabularnewline
mean & 9605.50666666667 \tabularnewline
Q3 & 9946.5 \tabularnewline
maximum & 10680 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36156&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]75[/C][/ROW]
[ROW][C]minimum[/C][C]8547[/C][/ROW]
[ROW][C]Q1[/C][C]9233[/C][/ROW]
[ROW][C]median[/C][C]9655[/C][/ROW]
[ROW][C]mean[/C][C]9605.50666666667[/C][/ROW]
[ROW][C]Q3[/C][C]9946.5[/C][/ROW]
[ROW][C]maximum[/C][C]10680[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36156&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36156&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
# observations75
minimum8547
Q19233
median9655
mean9605.50666666667
Q39946.5
maximum10680



Parameters (Session):
par1 = 0 ; par2 = 12 ;
Parameters (R input):
par1 = 0 ; par2 = 12 ; par3 = ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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='10/2000-12/2006',ylab='aantal geboortes')
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')