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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, 11 Nov 2011 11:58:39 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/11/t13210307623g32ejesgcwi1oc.htm/, Retrieved Mon, 24 Jun 2024 12:13:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=141390, Retrieved Mon, 24 Jun 2024 12:13:56 +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)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
- RMPD      [Univariate Explorative Data Analysis] [QQ plot] [2011-11-11 16:58:39] [e1aba6efa0fba8dc2a9839c208d0186e] [Current]
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Dataseries X:
127269
75620
88255
104300
53891
23637
239665
26847
82376
108063
130696
106111
77157
156938
111186
193991
137623
129655
90067
118206
128389
226536
67073
89947
101451
121691
147649
101001
88745
145509
158310
82934
144300
50968
169102
129402
197808
102540
76806
135028
158063
97980
99862
49417
79864
238236
66613
133589
179955
104416
88737
24019
178249
64672
85913
149157
136059
147863
157786
97096
194551
166067
107928
136136
105283
74153
95612
108093
118089
51000
97034
52125
96331
106760
82657
159858
161402
90287
74853
87661
85840
224167
107905
82275
80953
90496
67181
155920
124542
84443
93028
106264
84922
132246
145658
106443
108558
138044
136773
183992
114968
126632
80456
39948
108674
101041
114400
153398
57427
78870
127197
119023
20764
99305
61675
72554
168643
21054
151340
23175
157461
103303
48355
51536
38214
86725
159468
90604
183334
137626
204060
114015
51227
147342
210790
41227
198679
81901
130930
82730
50656
195126
115032
173260
144766
57297
112567
142346
0
14688
98
455
0
0
111354
148268
0
203
7199
46660
17547
73567
969
76925




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'AstonUniversity' @ aston.wessa.net

\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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141390&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141390&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141390&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'AstonUniversity' @ aston.wessa.net







Descriptive Statistics
# observations164
minimum0
Q175428.25
median103801.5
mean104505.317073171
Q3137730.5
maximum239665

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 164 \tabularnewline
minimum & 0 \tabularnewline
Q1 & 75428.25 \tabularnewline
median & 103801.5 \tabularnewline
mean & 104505.317073171 \tabularnewline
Q3 & 137730.5 \tabularnewline
maximum & 239665 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141390&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]164[/C][/ROW]
[ROW][C]minimum[/C][C]0[/C][/ROW]
[ROW][C]Q1[/C][C]75428.25[/C][/ROW]
[ROW][C]median[/C][C]103801.5[/C][/ROW]
[ROW][C]mean[/C][C]104505.317073171[/C][/ROW]
[ROW][C]Q3[/C][C]137730.5[/C][/ROW]
[ROW][C]maximum[/C][C]239665[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141390&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141390&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
# observations164
minimum0
Q175428.25
median103801.5
mean104505.317073171
Q3137730.5
maximum239665



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)
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')