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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationWed, 14 Oct 2009 02:30:28 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/14/t1255509090iv1ijspnf5sojst.htm/, Retrieved Sun, 28 Apr 2024 13:45:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=46388, Retrieved Sun, 28 Apr 2024 13:45:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact916
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]
F RMPD      [Univariate Data Series] [] [2009-10-14 08:30:28] [d41d8cd98f00b204e9800998ecf8427e] [Current]
- RMP         [Central Tendency] [Workshop 3: Centr...] [2009-10-14 17:17:51] [74be16979710d4c4e7c6647856088456]
-               [Central Tendency] [SHW_WS3_Q2(2)] [2009-10-16 10:22:42] [8b1aef4e7013bd33fbc2a5833375c5f5]
-                 [Central Tendency] [Workshop 3, Part ...] [2009-10-21 15:38:57] [b6394cb5c2dcec6d17418d3cdf42d699]
- RM                [Percentiles] [Worskhop 3, mogel...] [2009-10-26 17:57:10] [b6394cb5c2dcec6d17418d3cdf42d699]
-                 [Central Tendency] [Workshop 3, Part ...] [2009-10-21 15:38:37] [aba88da643e3763d32ff92bd8f92a385]
-                 [Central Tendency] [Workshop 3, Part ...] [2009-10-21 15:38:37] [aba88da643e3763d32ff92bd8f92a385]
-    D          [Central Tendency] [Central Tendency] [2009-10-21 14:40:10] [24c4941ee50deadff4640c9c09cc70cb]
-               [Central Tendency] [workshop 3 vraag 1.2] [2009-10-21 14:49:37] [af8eb90b4bf1bcfcc4325c143dbee260]
- RMP         [Central Tendency] [] [2009-10-14 18:53:30] [cf890101a20378422561610e0d41fd9c]
- RMPD        [Central Tendency] [Central Tendency] [2009-10-14 19:13:14] [1f74ef2f756548f1f3a7b6136ea56d7f]
- RMP           [Variability] [Variability] [2009-10-14 20:14:22] [1f74ef2f756548f1f3a7b6136ea56d7f]
- RMP           [Percentiles] [Percentiles] [2009-10-14 20:19:57] [1f74ef2f756548f1f3a7b6136ea56d7f]
-                 [Percentiles] [workshop 3 vraag 1.3] [2009-10-21 15:30:04] [af8eb90b4bf1bcfcc4325c143dbee260]
-                 [Percentiles] [Workshop 3 Part 1...] [2009-10-26 17:59:43] [aba88da643e3763d32ff92bd8f92a385]
- RMP           [Harrell-Davis Quantiles] [Harrel-Davis] [2009-10-14 20:30:29] [1f74ef2f756548f1f3a7b6136ea56d7f]
-   P             [Harrell-Davis Quantiles] [SHW_WS3_Q1] [2009-10-16 10:01:24] [8b1aef4e7013bd33fbc2a5833375c5f5]
-   P               [Harrell-Davis Quantiles] [] [2009-10-17 15:28:50] [08fc5c07292c885b941f0cb515ce13f3]
-                   [Harrell-Davis Quantiles] [] [2009-10-19 18:35:03] [08fc5c07292c885b941f0cb515ce13f3]
-                   [Harrell-Davis Quantiles] [Workshop 3] [2009-10-20 19:18:25] [b6394cb5c2dcec6d17418d3cdf42d699]
-   P             [Harrell-Davis Quantiles] [Workshop 3, Part...] [2009-10-20 19:18:24] [aba88da643e3763d32ff92bd8f92a385]
-   P             [Harrell-Davis Quantiles] [workshop 3 part 1...] [2009-10-20 19:22:58] [af8eb90b4bf1bcfcc4325c143dbee260]
-   PD          [Central Tendency] [Part 3.1 Mediaan] [2009-10-14 21:06:38] [1f74ef2f756548f1f3a7b6136ea56d7f]
- RMPD          [Variability] [Part 3.1 Standaar...] [2009-10-14 21:09:52] [1f74ef2f756548f1f3a7b6136ea56d7f]
-   PD          [Central Tendency] [Part 3.1.3 Mediaan] [2009-10-14 21:35:26] [1f74ef2f756548f1f3a7b6136ea56d7f]
- RMPD          [Variability] [Part 3.1.3 Standa...] [2009-10-14 21:41:22] [1f74ef2f756548f1f3a7b6136ea56d7f]
- RMP         [Variability] [] [2009-10-14 19:20:08] [cf890101a20378422561610e0d41fd9c]
- RMP         [Histogram] [] [2009-10-14 19:29:55] [cf890101a20378422561610e0d41fd9c]
- RM          [Percentiles] [] [2009-10-14 19:43:49] [cf890101a20378422561610e0d41fd9c]
- RM          [Harrell-Davis Quantiles] [] [2009-10-14 19:45:54] [cf890101a20378422561610e0d41fd9c]
-             [Univariate Data Series] [WS 3 P1 1.1] [2009-10-14 21:54:29] [6e4e01d7eb22a9f33d58ebb35753a195]
- RMP           [Histogram] [WS 3 P1 HG] [2009-10-14 22:06:34] [6e4e01d7eb22a9f33d58ebb35753a195]
- RMP             [Mean Plot] [] [2009-10-14 22:12:02] [6e4e01d7eb22a9f33d58ebb35753a195]
- RMP             [Mean Plot] [WS 3 P1 BP] [2009-10-14 22:12:02] [6e4e01d7eb22a9f33d58ebb35753a195]
- RMP               [Central Tendency] [WS 3 P1 CT] [2009-10-14 22:21:08] [6e4e01d7eb22a9f33d58ebb35753a195]
- RMP                 [Harrell-Davis Quantiles] [WS 3 p1 3] [2009-10-14 22:31:24] [6e4e01d7eb22a9f33d58ebb35753a195]
- RMP                   [Percentiles] [WS 3 P1 3b] [2009-10-14 22:36:04] [6e4e01d7eb22a9f33d58ebb35753a195]
- RM                      [Central Tendency] [WS 3 P1 2] [2009-10-14 22:45:56] [6e4e01d7eb22a9f33d58ebb35753a195]
- RMP         [Percentiles] [Ws 3 part 1 ex 3] [2009-10-15 14:15:29] [62d3ced7fb1c10c35a82e9cb1d0d0e2b]
- RMP         [Percentiles] [ws3 part1 ex3] [2009-10-15 14:14:58] [95cead3ebb75668735f848316249436a]
- RMP         [Harrell-Davis Quantiles] [Ws 3 part 1 ex 3 (2)] [2009-10-15 14:25:56] [62d3ced7fb1c10c35a82e9cb1d0d0e2b]
- RMP         [Harrell-Davis Quantiles] [ws3 part1 ex3.2] [2009-10-15 14:24:56] [95cead3ebb75668735f848316249436a]
- RMP         [Central Tendency] [Central tendency ...] [2009-10-15 14:35:35] [757146c69eaf0537be37c7b0c18216d8]
- RMPD        [Central Tendency] [workshop 3] [2009-10-15 14:56:09] [3d8acb8ffdb376c5fec19e610f8198c2]
- RMP         [Harrell-Davis Quantiles] [WS 3 - Part 1 - V3] [2009-10-15 14:53:25] [757146c69eaf0537be37c7b0c18216d8]
- RMPD        [Variability] [workshop 3] [2009-10-15 15:00:27] [3d8acb8ffdb376c5fec19e610f8198c2]
- RMPD        [Histogram] [workshop 3] [2009-10-15 15:02:22] [3d8acb8ffdb376c5fec19e610f8198c2]
- RMPD        [Histogram] [workshop 3] [2009-10-15 15:07:05] [3d8acb8ffdb376c5fec19e610f8198c2]
- RMP         [Percentiles] [Percentiles] [2009-10-15 15:05:28] [757146c69eaf0537be37c7b0c18216d8]

[Truncated]
Feedback Forum
2009-10-25 11:25:17 [63eb96f6bb6bb2e97b19e6b2c7096120] [reply
als je de gegevens verwerkt in een histogram. Zie je dat de gegevens geen klok vorm hebben. Op de Gaussian Kernel grafiek is te zien dat de gegevens meer naar links uitwijken.=> geen gelijke verdeling

Post a new message
Dataseries X:
87.28
87.28
87.09
86.92
87.59
90.72
90.69
90.3
89.55
88.94
88.41
87.82
87.07
86.82
86.4
86.02
85.66
85.32
85
84.67
83.94
82.83
81.95
81.19
80.48
78.86
69.47
68.77
70.06
73.95
75.8
77.79
81.57
83.07
84.34
85.1
85.25
84.26
83.63
86.44
85.3
84.1
83.36
82.48
81.58
80.47
79.34
82.13
81.69
80.7
79.88
79.16
78.38
77.42
76.47
75.46
74.48
78.27
80.7
79.91
78.75
77.78
81.14
81.08
80.03
78.91
78.01
76.9
75.97
81.93
80.27
78.67
77.42
76.16
74.7
76.39
76.04
74.65
73.29
71.79
74.39
74.91
74.54
73.08
72.75
71.32
70.38
70.35
70.01
69.36
67.77
69.26
69.8
68.38
67.62
68.39
66.95
65.21
66.64
63.45
60.66
62.34
60.32
58.64
60.46
58.59
61.87
61.85
67.44
77.06
91.74
93.15
94.15
93.11
91.51
89.96
88.16
86.98
88.03
86.24
84.65
83.23
81.7
80.25
78.8
77.51
76.2
75.04
74
75.49
77.14
76.15
76.27
78.19
76.49
77.31
76.65
74.99
73.51
72.07
70.59
71.96
76.29
74.86
74.93
71.9
71.01
77.47
75.78
76.6
76.07
74.57
73.02
72.65
73.16
71.53
69.78
67.98
69.96
72.16
70.47
68.86
67.37
65.87
72.16
71.34
69.93
68.44
67.16
66.01
67.25
70.91
69.75
68.59
67.48
66.31
64.81
66.58
65.97
64.7
64.7
60.94
59.08
58.42
57.77
57.11
53.31
49.96
49.4
48.84
48.3
47.74
47.24
46.76
46.29
48.9
49.23
48.53
48.03
54.34
53.79
53.24
52.96
52.17
51.7
58.55
78.2
77.03
76.19
77.15
75.87
95.47
109.67
112.28
112.01
107.93
105.96
105.06
102.98
102.2
105.23
101.85
99.89
96.23
94.76
91.51
91.63
91.54
85.23
87.83
87.38
84.44
85.19
84.03
86.73
102.52
104.45
106.98
107.02
99.26
94.45
113.44
157.33
147.38
171.89
171.95
132.71
126.02
121.18
115.45
110.48
117.85
117.63
124.65
109.59
111.27
99.78
98.21
99.2
97.97
89.55
87.91
93.34
94.42
93.2
90.29
91.46
89.98
88.35
88.41
82.44
79.89
75.69
75.66
84.5
96.73
87.48
82.39
83.48
79.31
78.16
72.77
72.45
68.46
67.62
68.76
70.07
68.55
65.3
58.96
59.17
62.37
66.28
55.62
55.23
55.85
56.75
50.89
53.88
52.95
55.08
53.61
58.78
61.85
55.91
53.32
46.41
44.57
50
50
53.36
46.23
50.45
49.07
45.85
48.45
49.96
46.53
50.51
47.58
48.05
46.84
47.67
49.16
55.54
55.82
58.22
56.19
57.77
63.19
54.76
55.74
62.54
61.39
69.6
79.23
80
93.68
107.63
100.18
97.3
90.45
80.64
80.58
75.82
85.59
89.35
89.42
104.73
95.32
89.27
90.44
86.97
79.98
81.22
87.35
83.64
82.22
94.4
102.18




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46388&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46388&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46388&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Univariate Dataseries
Name of dataseriesprice time series
Sourcenot disclosed
Descriptionnot available
Number of observations360

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & price time series \tabularnewline
Source & not disclosed \tabularnewline
Description & not available \tabularnewline
Number of observations & 360 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46388&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]price time series[/C][/ROW]
[ROW][C]Source[/C][C]not disclosed[/C][/ROW]
[ROW][C]Description[/C][C]not available[/C][/ROW]
[ROW][C]Number of observations[/C][C]360[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46388&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46388&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Univariate Dataseries
Name of dataseriesprice time series
Sourcenot disclosed
Descriptionnot available
Number of observations360



Parameters (Session):
par1 = price time series ; par2 = not disclosed ; par3 = not available ;
Parameters (R input):
par1 = price time series ; par2 = not disclosed ; par3 = not available ;
R code (references can be found in the software module):
bitmap(file='test1.png')
plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab)
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')