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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationThu, 17 Dec 2015 13:13:10 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Dec/17/t1450358005c1mo2qt9xtpvhjd.htm/, Retrieved Thu, 31 Oct 2024 23:37:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=286788, Retrieved Thu, 31 Oct 2024 23:37:31 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact123
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [] [2015-12-17 13:13:10] [0f06e4fdd8087d4b3abca42184bf2a00] [Current]
- R P     [Univariate Data Series] [] [2015-12-17 13:14:18] [c4d175d45982400f45768592120a8602]
- R P     [Univariate Data Series] [] [2015-12-17 13:15:07] [c4d175d45982400f45768592120a8602]
- RMP     [Mean Plot] [] [2015-12-17 13:26:28] [c4d175d45982400f45768592120a8602]
- RMP     [Variance Reduction Matrix] [] [2015-12-17 13:33:56] [c4d175d45982400f45768592120a8602]
- RMP     [(Partial) Autocorrelation Function] [] [2015-12-17 13:35:47] [c4d175d45982400f45768592120a8602]
- RMP     [(Partial) Autocorrelation Function] [] [2015-12-17 13:37:49] [c4d175d45982400f45768592120a8602]
- RMPD      [Classical Decomposition] [] [2015-12-17 13:44:23] [c4d175d45982400f45768592120a8602]
- RMP         [Exponential Smoothing] [] [2015-12-17 13:51:34] [c4d175d45982400f45768592120a8602]
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Dataseries X:
302
262
218
175
100
77
43
47
49
69
152
205
246
294
242
181
107
56
49
47
47
71
151
244
280
230
185
148
98
61
46
45
55
48
115
185
276
220
181
151
83
55
49
42
46
74
103
200
237
247
215
182
80
46
65
40
44
63
85
185
247
231
167
117
79
45
40
38
41
69
152
232
282
255
161
107
53
40
39
34
35
56
97
210
260
257
210
125
80
42
35
31
32
50
92
189
256
250
198
136
73
39
32
30
31
45




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286788&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286788&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286788&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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net



Parameters (Session):
par1 = Gemiddeld gasverbruik in Iowa ; par2 = https://datamarket.com/data/set/22mv/montly-av-residential-gas-usage-iowa-cubic-feet100-71-79#!ds=22mv&display=line ; par3 = Maandelijks gasverbruik in Iowa in 'cubic feet' voor periode januari 1971 - oktober 1979 ; par4 = 12 ;
Parameters (R input):
par1 = Gemiddeld gasverbruik in Iowa ; par2 = https://datamarket.com/data/set/22mv/montly-av-residential-gas-usage-iowa-cubic-feet100-71-79#!ds=22mv&display=line ; par3 = Maandelijks gasverbruik in Iowa in ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- '12'
par3 <- 'Maandelijks gasverbruik in Iowa in 'cubic feet' voor periode januari 1971 - oktober 1979'
par2 <- 'https://datamarket.com/data/set/22mv/montly-av-residential-gas-usage-iowa-cubic-feet100-71-79#!ds=22mv&display=line'
par1 <- 'Gemiddeld gasverbruik in Iowa'
if (par4 != 'No season') {
par4 <- as.numeric(par4)
if (par4 < 4) par4 <- 12
}
summary(x)
n <- length(x)
bitmap(file='test1.png')
if (par4=='No season') {
plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab,xaxt='n')
axis(1,at=seq(1,n,10))
}
if (par4!='No season') {
plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab,xaxt='n')
axis(1,at=seq(1,n,par4))
grid(nx=0,ny=NULL,col='black')
abline(v=seq(1,n,par4),col='black',lty='dotted')
}
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Univariate Dataseries',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Name of dataseries',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Source',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of observations',header=TRUE)
a<-table.element(a,length(x))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')