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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationWed, 01 Apr 2020 20:47:56 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2020/Apr/01/t1585767072u3p2536xfjcy7hg.htm/, Retrieved Sun, 16 May 2021 00:20:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=319113, Retrieved Sun, 16 May 2021 00:20:24 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact46
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [igpa] [2020-04-01 18:47:56] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
804,73
900,66
921,08
889,16
866,69
877,03
875,84
890,10
882,08
877,63
1.018,92
1.166,57
1.299,17
1.543,36
1.720,28
1.642,42
1.740,43
1.982,35
2.166,31
2.394,09
2.739,84
2.596,66
2.458,20
2.483,69
2.400,91
2.693,40
3.005,52
2.998,06
2.950,27
2.995,89
3.042,78
2.861,42
2.699,27
2.859,91
2.673,56
2.733,46
3.187,85
3.059,10
2.879,37
2.674,09
2.710,12
2.931,91
2.928,17
3.082,64
3.116,34
3.212,91
3.389,01
3.915,49
4.607,34
4.532,82
4.026,72
4.209,06
4.449,97
4.345,18
4.300,59
4.826,95
5.089,38
5.671,89
5.698,62
5.426,46
5.411,60
5.319,82
5.275,01
5.462,24
6.078,45
6.170,02
6.164,01
6.032,99
5.817,62
5.915,32
5.567,30
5.739,97
5.658,21
5.588,23
5.324,26
5.499,76
5.417,07
5.580,47
5.515,00
5.302,96
5.417,37
5.385,39
5.067,43
4.902,59
5.226,51
5.368,55
5.277,05
5.330,45
5.652,17
5.732,45
5.706,70
5.480,45
5.481,38
5.071,22
4.942,28
4.794,41
4.321,56
4.514,43
4.833,17
4.589,50
4.318,00
4.066,31
4.117,76
3.257,38
3.268,62
3.396,81
3.962,38
3.594,75
3.558,44
3.841,11
4.134,19
4.457,80
4.470,88
4.772,01
4.707,08
4.652,73
4.620,39
4.581,22
4.910,44
5.167,72
5.427,99
5.191,20
5.140,87
4.957,83
4.992,20
4.920,04
4.827,61
4.954,27
4.849,56
4.752,81
4.841,34
4.869,04
5.103,66
4.912,68
4.943,64
5.071,90
5.490,22
5.390,85
5.484,16
5.666,09
5.075,42
5.180,93
5.443,15
5.397,69
5.282,24
5.287,14
5.340,43
5.223,76
5.138,45
5.002,66
4.954,71
4.955,49
4.695,26
4.768,42
4.814,82
5.019,64
4.981,90
5.045,96
5.057,13
5.679,59
5.917,39
5.967,54
6.309,86
6.727,96
6.991,60
7.452,02
7.244,70
7.336,67
7.079,38
7.629,43
7.474,34
7.339,68
7.207,75
7.518,78
7.882,41
8.238,23
8.562,71
8.805,95
8.998,60
8.962,56
8.864,43
9.178,15
9.413,22
9.263,71
9.199,45
9.521,44
9.975,23
9.757,51
10.073,32
9.786,64
9.430,58
9.206,10
9.513,40
9.755,40
9.930,98
10.005,85
9.922,55
9.895,07
9.928,29
10.297,86
10.678,19
11.069,48
11.705,40
12.373,78
12.988,02
12.844,89
13.312,02
14.240,93
14.309,57
15.118,35
14.840,29
14.760,55
14.602,10
15.345,84
14.522,13
14.076,25
12.944,07
13.197,15
13.422,24
13.982,91
14.235,28
14.647,96
14.340,19
13.775,73
12.967,40
11.786,27
11.486,70
11.324,07
12.114,47
11.879,64
11.861,95
12.772,35
14.684,06
14.767,83
15.288,54
15.072,59
15.878,29
15.653,08
15.373,00
16.630,91
17.594,65
17.789,25
17.642,67
18.039,09
18.130,71
18.848,07
20.296,63
21.239,70
22.355,95
22.874,62
22.927,69
22.979,22
22.248,93
21.229,26
21.871,92
22.784,53
22.929,02
22.642,40
21.166,36
20.463,36
18.796,89
20.711,29
20.074,19
20.129,80
20.454,09
21.546,22
22.206,86
21.925,87
20.802,59
21.079,74
20.447,87
20.176,31
20.551,46
20.910,93
20.323,85
21.070,28
22.167,63
22.219,95
21.698,32
21.084,60
20.681,45
19.861,10
18.438,04
17.993,73
18.833,77
19.242,04
18.599,86
18.227,05
17.123,06
18.342,81
18.552,57
19.186,66
19.103,01
18.899,87
18.945,82
19.422,77
19.250,93
18.842,72
19.457,82
18.870,41
18.761,30
19.357,66
19.090,84
19.625,34
19.662,20
18.977,93
18.833,52
18.756,37
18.056,21
18.811,30
18.027,32
18.151,50
18.243,46
18.259,20
19.296,65
19.655,14
19.416,89
19.725,53
20.368,48
20.429,26
20.046,48
21.423,49
21.020,27
20.734,17
20.988,59
21.811,38
23.967,88
24.088,63
24.354,53
23.787,44
25.312,82
25.726,70
26.682,39
28.028,35
25.167,46
27.980,78
29.419,79
28.132,19
27.736,23
28.699,31
27.625,84
26.843,21
27.360,34
26.589,85
26.885,86
25.979,23
25.965,55
25.949,84
27.317,47
26.797,42
26.643,94
26.331,76
25.352,28
25.782,14
25.280,70
24.278,74
25.455,44
23.838,15
22.705,71
23.393,53




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319113&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=319113&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319113&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 Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center



Parameters (Session):
Parameters (R input):
par1 = igpa ; par2 = ; par3 = ; par4 = 12 ;
R code (references can be found in the software module):
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')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary Statistics of dataseries x',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('summary(x)'),'
',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')