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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_edauni.wasp

Title produced by software

Univariate Explorative Data Analysis

Date of computation

Mon, 01 Dec 2008 12:13:12 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/01/t1228161479kupawn8merqhg4p.htm/, Retrieved Sun, 05 May 2024 16:12:30 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=27285, Retrieved Sun, 05 May 2024 16:12:30 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

226

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Multiple Regression] [Q1 The Seatbeltlaw] [2007-11-14 19:27:43] [8cd6641b921d30ebe00b648d1481bba0]
F    D  [Multiple Regression] [Q1 Case: the Seat...] [2008-11-19 13:07:53] [c993f605b206b366f754f7f8c1fcc291]
- RMPD    [Central Tendency] [Q2 residus in cen...] [2008-12-01 18:44:04] [7173087adebe3e3a714c80ea2417b3eb]
- RMPD        [Univariate Explorative Data Analysis] [univariate eda fo...] [2008-12-01 19:13:12] [95d95b0e883740fcbc85e18ec42dcafb] [Current]

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Dataseries X:

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Histogram

Boxplots

-183.923544514060
-177.072609114252
-228.635109114254
-237.447609114242
-127.760109114251
-193.010109114250
-220.635109114248
-164.510109114256
-268.322609114246
-333.697609114249
-34.2601091142503
-154.885109114249
-97.7452805255622
101.105654874272
2.54315487427317
-43.2693451257275
-163.581845125727
-162.831845125727
46.5431548742728
26.6681548742733
-107.144345125727
42.4806548742729
76.918154874273
196.293154874273
201.43298346296
12.2839188627955
-0.278581137204542
42.9089188627948
87.5964188627952
84.3464188627952
57.721418862795
173.846418862796
-185.966081137205
47.6589188627952
89.0964188627953
-68.5285811372049
272.611247451482
146.462182851318
162.899682851318
10.0871828513171
279.774682851318
212.524682851317
248.899682851317
-41.9753171486821
-5.78781714868267
52.8371828513174
274.274682851318
414.649682851317
310.789511440004
362.64044683984
26.0779468398400
403.265446839839
327.95294683984
193.702946839840
317.07794683984
202.20294683984
321.39044683984
178.015446839840
16.4529468398398
-68.1720531601603
-157.032224571473
-76.1812891716376
-81.7437891716377
-134.556289171638
77.1312108283621
199.881210828362
105.256210828362
198.381210828362
262.568710828362
196.193710828362
11.6312108283621
-145.993789171638
-166.853960582951
-202.003025183115
43.4344748168846
-113.378025183116
-113.690525183116
-155.940525183116
-210.565525183116
-124.440525183115
-64.2530251831158
-298.628025183116
-154.190525183116
23.1844748168843
-249.675696594429
118.175238805407
-180.387261194593
-79.1997611945937
-81.5122611945933
-246.762261194593
-105.387261194593
-319.262261194593
-72.0747611945935
-90.4497611945934
-80.0122611945933
119.362738805407
-53.4974326059064
-114.646497206071
-155.208997206071
-50.0214972060714
-196.333997206071
-14.5839972060711
-82.2089972060712
17.9160027939294
-162.896497206071
-132.271497206071
-16.8339972060710
81.5410027939288
275.680831382616
-32.4682332175485
17.9692667824515
27.1567667824508
-123.155733217549
108.594266782451
67.9692667824511
34.0942667824517
-13.7182332175489
-113.093233217549
54.3442667824512
149.719266782451
153.859095371138
-28.2899692290262
238.147530770974
50.3350307709731
8.02253077097358
-61.2274692290265
-140.852469229027
-28.7274692290261
9.46003077097336
-121.914969229026
41.5225307709736
115.897530770973
27.0373593596605
-91.111705240504
3.32579475949605
-29.4867052405046
-73.7992052405041
50.9507947594957
-86.6742052405044
-9.54920524050376
-66.3617052405043
73.2632947594957
-216.299205240504
-128.924205240504
-142.784376651817
27.0665587480184
60.5040587480183
35.6915587480177
16.3790587480182
-64.870941251982
115.504058748018
-30.3709412519815
87.816558748018
205.441558748018
-64.1209412519819
-322.745941251982
-139.606112663295
35.2448227365406
-4.31767726345942
17.8698227365400
2.55732273654045
129.307322736540
-16.3176772634598
164.807322736541
21.9948227365402
138.619822736540
87.0573227365404
51.4323227365403
-80.4278486747727
-105.191879672279
5.24562032772056
68.4331203277199
-0.879379672279542
-105.129379672280
-82.7543796722797
-132.629379672279
102.558120327720
23.1831203277203
-180.379379672280
-267.00437967228
30.1354489164073
23.986384316243
90.4238843162428
31.6113843162422
81.2988843162427
25.0488843162426
-13.5761156837575
33.548884316243
140.736384316242
132.361384316243
94.7988843162427
4.17388431624253

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=27285&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=27285&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=27285&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Descriptive Statistics
# observations	192
minimum	-333.697609114249
Q1	-105.826532177376
median	4.70975232198155
mean	-1.32394411912184e-15
Q3	85.0241448312315
maximum	414.649682851317

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 192 \tabularnewline
minimum & -333.697609114249 \tabularnewline
Q1 & -105.826532177376 \tabularnewline
median & 4.70975232198155 \tabularnewline
mean & -1.32394411912184e-15 \tabularnewline
Q3 & 85.0241448312315 \tabularnewline
maximum & 414.649682851317 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=27285&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]192[/C][/ROW]
[ROW][C]minimum[/C][C]-333.697609114249[/C][/ROW]
[ROW][C]Q1[/C][C]-105.826532177376[/C][/ROW]
[ROW][C]median[/C][C]4.70975232198155[/C][/ROW]
[ROW][C]mean[/C][C]-1.32394411912184e-15[/C][/ROW]
[ROW][C]Q3[/C][C]85.0241448312315[/C][/ROW]
[ROW][C]maximum[/C][C]414.649682851317[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=27285&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=27285&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
# observations	192
minimum	-333.697609114249
Q1	-105.826532177376
median	4.70975232198155
mean	-1.32394411912184e-15
Q3	85.0241448312315
maximum	414.649682851317

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Figure 4

PNG link

Postscript link

PDF link

Figure 5

PNG link

Postscript link

PDF link

Figure 6

PNG link

Postscript link

PDF link

Figure 7

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code