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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_edauni.wasp
Title produced by softwareUnivariate Explorative Data Analysis
Date of computationMon, 22 Oct 2007 12:45:25 -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/2007/Oct/22/5xb30fw28eaepww1193082052.htm/, Retrieved Sun, 05 May 2024 23:54:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=1360, Retrieved Sun, 05 May 2024 23:54:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsQ7
Estimated Impact405

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Univariate Explorative Data Analysis] [Investigating dis...] [2007-10-22 19:45:25] [3cbd35878d9bd3c68c81c01c5c6ec146] [Current]
-    D    [Univariate Explorative Data Analysis] [Q7] [2008-10-23 11:13:41] [631938996a408f8d8cf3d9850ca0cd03]
-           [Univariate Explorative Data Analysis] [Q7] [2008-10-23 11:15:59] [063e4b67ad7d3a8a83eccec794cd5aa7]
-             [Univariate Explorative Data Analysis] [q7] [2008-10-23 11:18:02] [d2d412c7f4d35ffbf5ee5ee89db327d4]
F   PD      [Univariate Explorative Data Analysis] [Q7] [2008-10-27 21:12:49] [631938996a408f8d8cf3d9850ca0cd03]
F   PD    [Univariate Explorative Data Analysis] [Q7] [2008-10-23 11:25:13] [cb714085b233acee8e8acd879ea442b6]
-   P       [Univariate Explorative Data Analysis] [Q 10 Export] [2008-10-23 12:32:37] [cb714085b233acee8e8acd879ea442b6]
-    D        [Univariate Explorative Data Analysis] [Q10 import] [2008-10-23 12:38:56] [cb714085b233acee8e8acd879ea442b6]
-   PD      [Univariate Explorative Data Analysis] [Q1O inflatie] [2008-10-23 12:41:31] [cb714085b233acee8e8acd879ea442b6]
-   PD      [Univariate Explorative Data Analysis] [Q 10 wisselkoers] [2008-10-23 12:45:52] [cb714085b233acee8e8acd879ea442b6]
F           [Univariate Explorative Data Analysis] [] [2008-11-03 10:43:12] [43d870b30ac8a7afeb5de9ee11dcfc1a]
F    D    [Univariate Explorative Data Analysis] [Q7:Autocorrelation] [2008-10-23 12:23:25] [1ce0d16c8f4225c977b42c8fa93bc163]
-   PD      [Univariate Explorative Data Analysis] [Q7: Investigate v...] [2008-11-02 20:25:24] [1ce0d16c8f4225c977b42c8fa93bc163]
F   PD    [Univariate Explorative Data Analysis] [Investigating dis...] [2008-10-24 09:24:27] [58bf45a666dc5198906262e8815a9722]
-    D    [Univariate Explorative Data Analysis] [Q7: Investigate t...] [2008-10-24 11:37:03] [1e1d8320a8a1170c475bf6e4ce119de6]
F   P       [Univariate Explorative Data Analysis] [Q7: Investigate t...] [2008-10-27 17:41:08] [1e1d8320a8a1170c475bf6e4ce119de6]
-   P         [Univariate Explorative Data Analysis] [Seizoenailteit] [2008-11-03 21:14:56] [85841a4a203c2f9589565c024425a91b]
- R  D      [Univariate Explorative Data Analysis] [d] [2008-10-27 19:40:21] [74be16979710d4c4e7c6647856088456]
- R  D      [Univariate Explorative Data Analysis] [Eigen datareeksen] [2008-10-27 19:42:43] [988ab43f527fc78aae41c84649095267]
F   PD    [Univariate Explorative Data Analysis] [q1 assumptions: a...] [2008-10-25 13:05:39] [7173087adebe3e3a714c80ea2417b3eb]
-   P       [Univariate Explorative Data Analysis] [herberekening] [2008-11-02 17:58:15] [c45c87b96bbf32ffc2144fc37d767b2e]
-   P       [Univariate Explorative Data Analysis] [correctie Q7 ] [2008-11-03 10:52:21] [7173087adebe3e3a714c80ea2417b3eb]
F    D    [Univariate Explorative Data Analysis] [investigating dis...] [2008-10-25 13:32:53] [5de5fb433ddcb9578e0fa830f795b7e9]
-    D      [Univariate Explorative Data Analysis] [investigating dis...] [2008-10-25 14:07:21] [5de5fb433ddcb9578e0fa830f795b7e9]
-    D        [Univariate Explorative Data Analysis] [Investigation val...] [2008-10-27 22:01:55] [74be16979710d4c4e7c6647856088456]
-               [Univariate Explorative Data Analysis] [Investigation val...] [2008-10-27 22:10:04] [74be16979710d4c4e7c6647856088456]
-    D      [Univariate Explorative Data Analysis] [Investigating dis...] [2008-10-25 14:11:38] [5de5fb433ddcb9578e0fa830f795b7e9]
-    D      [Univariate Explorative Data Analysis] [Investigating dis...] [2008-10-25 14:14:59] [5de5fb433ddcb9578e0fa830f795b7e9]
F   PD    [Univariate Explorative Data Analysis] [Q7 Validity] [2008-10-25 13:53:15] [87cabf13a90315c7085b765dcebb7412]
F           [Univariate Explorative Data Analysis] [Validity] [2008-10-27 21:47:49] [d2d412c7f4d35ffbf5ee5ee89db327d4]
- RMP         [Central Tendency] [feedback taak 3 t...] [2008-10-28 20:41:30] [46c5a5fbda57fdfa1d4ef48658f82a0c]
-   P           [Central Tendency] [verbetering task ...] [2008-11-03 07:02:19] [33f4701c7363e8b81858dafbf0350eed]
F   P       [Univariate Explorative Data Analysis] [Q10] [2008-10-27 21:52:47] [d2d412c7f4d35ffbf5ee5ee89db327d4]
F    D    [Univariate Explorative Data Analysis] [] [2008-10-25 14:47:25] [4c8dfb519edec2da3492d7e6be9a5685]
F    D      [Univariate Explorative Data Analysis] [] [2008-10-27 17:04:00] [077ffec662d24c06be4c491541a44245]
-   PD        [Univariate Explorative Data Analysis] [distributions tas...] [2008-10-28 18:12:04] [077ffec662d24c06be4c491541a44245]
F   PD    [Univariate Explorative Data Analysis] [inv distribuition...] [2008-10-26 14:31:29] [252acdb58d8522ab27f61fa1e87b5efe]
F R  D    [Univariate Explorative Data Analysis] [Q7] [2008-10-26 14:53:24] [4300be8b33fd3dcdacd2aa9800ceba23]
F    D      [Univariate Explorative Data Analysis] [Q7] [2008-10-27 19:54:21] [b47fceb71c9525e79a89b5fc6d023d0e]
-   PD        [Univariate Explorative Data Analysis] [Blog met lags] [2008-11-01 20:54:42] [ed2ba3b6182103c15c0ab511ae4e6284]
-   PD        [Univariate Explorative Data Analysis] [Q7] [2008-11-03 18:43:02] [b47fceb71c9525e79a89b5fc6d023d0e]
F    D      [Univariate Explorative Data Analysis] [] [2008-10-27 20:23:41] [fd59abe368d8219a006d49608e51987e]
-   P         [Univariate Explorative Data Analysis] [Q7 Correctie] [2008-10-30 21:15:11] [547636b63517c1c2916a747d66b36ebf]
- R             [Univariate Explorative Data Analysis] [Q7 waarde - gemid...] [2008-10-30 21:56:10] [547636b63517c1c2916a747d66b36ebf]
-   PD      [Univariate Explorative Data Analysis] [] [2008-10-31 09:46:15] [a4ee3bef49b119f4bd2e925060c84f5e]
-   PD      [Univariate Explorative Data Analysis] [tijdreeks autocor...] [2008-11-03 23:48:42] [82d201ca7b4e7cd2c6f885d29b5b6937]
- RMPD      [Central Tendency] [central tendency] [2008-11-04 00:10:54] [82d201ca7b4e7cd2c6f885d29b5b6937]
F   PD    [Univariate Explorative Data Analysis] [Q7 Ruwe Aardolie ...] [2008-10-26 15:01:29] [f9b9e85820b2a54b20380c3265aca831]
F   PD    [Univariate Explorative Data Analysis] [taak3 autocorrelatie] [2008-10-26 15:37:07] [44a98561a4b3e6ab8cd5a857b48b0914]

[Truncated]
Feedback Forum
2008-10-31 16:36:58 [Bob Leysen] [reply] 
Hieronder de correcte link met lags ingesteld op 36:
http://www.freestatistics.org/blog/index.php?v=date/2008/Oct/31/t1225470803nncn8affoe8r2xk.htm

Er is geen autocorrelatie. Er is een normaalverdeling (density plot).
In de normal QQ plot liggen de rechte quasi op 1 lijn.
De run sequence plot duidt ook geen gelijke spreiding aan.


Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,91190253
0,916515426
0,899126291
1,008991009
0,993421053
0,992160279
1,062730627
1,109195402
0,991362764
1,063888889
1,007619048
0,996825397
1,069565217
1,03649635
1
1,088974855
1,022526934
1,019073569
0,974759615
1,174123337
1,054307116
1,000879507
1,051707317
1,068322981
1,121606949
1,058577406
1,052785924
1,119675456
1,037678208
1,109090909
1,070238095
1,200542005
1,1280077
1,168867925
1,028806584
1,009746589
1,057303371
1,052238806
1,023993145
1,055243446
1,059898477
1,050547599
0,99
1,055495103
1,07325684
1,050397878
1,095100865
1,02575897
1,005170631
1,014851485
0,97005988
1,037807183
1,05959596
0,974497682
0,963855422
1,088863892
1,011216566
1,077735125
1,034391534
0,990196078
1,013888889
0,972041007
0,970774092
1,045675413
1,028837998
1,020962733
1,017142857
1,113006397
1,050529747
1,076862124
1,069823435
1,039417309
1,046006944
1,083708371
1,061585835
1,112974404
1,124050633
1,098127341
1,012732615
1,14453125

Tables (Output of Computation)





Summary of compuational 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 compuational 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=1360&T=0

[TABLE]
[ROW][C]Summary of compuational 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=1360&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1360&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 compuational 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
# observations80
minimum0.899126291
Q11.009557694
median1.048202411
mean1.0442531824375
Q31.07099278125
maximum1.200542005

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 80 \tabularnewline
minimum & 0.899126291 \tabularnewline
Q1 & 1.009557694 \tabularnewline
median & 1.048202411 \tabularnewline
mean & 1.0442531824375 \tabularnewline
Q3 & 1.07099278125 \tabularnewline
maximum & 1.200542005 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1360&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]80[/C][/ROW]
[ROW][C]minimum[/C][C]0.899126291[/C][/ROW]
[ROW][C]Q1[/C][C]1.009557694[/C][/ROW]
[ROW][C]median[/C][C]1.048202411[/C][/ROW]
[ROW][C]mean[/C][C]1.0442531824375[/C][/ROW]
[ROW][C]Q3[/C][C]1.07099278125[/C][/ROW]
[ROW][C]maximum[/C][C]1.200542005[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=1360&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1360&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
# observations80
minimum0.899126291
Q11.009557694
median1.048202411
mean1.0442531824375
Q31.07099278125
maximum1.200542005


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 0 ;
Parameters (R input):
par1 = 0 ; par2 = 0 ;
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)
grid()
dev.off()
if (par2 > 0)
{
bitmap(file='lagplot.png')
dum <- cbind(lag(x,k=1),x)
dum
dum1 <- dum[2:length(x),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Lag plot, lowess, and regression line'))
lines(lowess(z))
abline(lm(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')