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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 computationFri, 12 Dec 2008 06:32:37 -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/12/t1229089150w4lp7jbkv911l7a.htm/, Retrieved Mon, 26 Feb 2024 04:50:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32715, Retrieved Mon, 26 Feb 2024 04:50:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact533
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] [d96f761aa3e94002e7c05c3c847d2c79] [Current]
- 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] [1ce0d16c8f4225c977b42c8fa93bc163]
- 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]

[Truncated]
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Dataseries X:
9 700
9 081
9 084
9 743
8 587
9 731
9 563
9 998
9 437
10 038
9 918
9 252
9 737
9 035
9 133
9 487
8 700
9 627
8 947
9 283
8 829
9 947
9 628
9 318
9 605
8 640
9 214
9 567
8 547
9 185
9 470
9 123
9 278
10 170
9 434
9 655
9 429
8 739
9 552
9 687
9 019
9 672
9 206
9 069
9 788
10 312
10 105
9 863
9 656
9 295
9 946
9 701
9 049
10 190
9 706
9 765
9 893
9 994
10 433
10 073
10 112
9 266
9 820
10 097
9 115
10 411
9 678
10 408
10 153
10 368
10 581
10 597
10 680
9 738
9 556




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=32715&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=32715&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32715&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=32715&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=32715&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32715&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 ;
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='01/2000-03/2006',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')