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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationWed, 02 Oct 2013 14:17:21 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/02/t1380738422v97qpy09zs0nb2r.htm/, Retrieved Sun, 28 Apr 2024 03:43:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212728, Retrieved Sun, 28 Apr 2024 03:43:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact101

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [] [2013-10-02 18:17:21] [8b24e188856f5419f2e8c84e49e6a0d4] [Current]
-   PD    [Univariate Data Series] [] [2013-10-02 19:17:54] [b95715fc6700d6c41997a188e5ae1cae]
- RM        [Histogram] [] [2013-10-02 19:29:48] [b95715fc6700d6c41997a188e5ae1cae]
- R P         [Histogram] [] [2013-10-02 19:40:37] [b95715fc6700d6c41997a188e5ae1cae]
- R             [Histogram] [] [2013-10-02 19:42:31] [b95715fc6700d6c41997a188e5ae1cae]
- R             [Histogram] [] [2013-10-02 19:42:31] [69f0adfa1a431ec50764c1a969b4d177]
- RMP             [Kernel Density Estimation] [] [2013-10-02 20:00:23] [b95715fc6700d6c41997a188e5ae1cae]
-   PD            [Histogram] [] [2013-10-03 17:09:44] [74be16979710d4c4e7c6647856088456]
- RMPD            [Harrell-Davis Quantiles] [] [2013-10-04 16:45:47] [69f0adfa1a431ec50764c1a969b4d177]
- R         [Univariate Data Series] [] [2013-10-03 18:25:36] [74be16979710d4c4e7c6647856088456]
- RM        [Quartiles] [] [2013-10-03 18:28:39] [69f0adfa1a431ec50764c1a969b4d177]
- RM        [Quartiles] [] [2013-10-03 18:28:39] [69f0adfa1a431ec50764c1a969b4d177]
-   PD        [Quartiles] [] [2013-10-04 13:37:03] [74be16979710d4c4e7c6647856088456]
- RMPD          [Notched Boxplots] [] [2013-10-04 13:39:52] [69f0adfa1a431ec50764c1a969b4d177]
- RMPD          [Notched Boxplots] [] [2013-10-04 13:44:51] [69f0adfa1a431ec50764c1a969b4d177]
- RMPD          [Harrell-Davis Quantiles] [] [2013-10-04 13:52:26] [69f0adfa1a431ec50764c1a969b4d177]
- RMPD          [Harrell-Davis Quantiles] [] [2013-10-04 14:01:59] [69f0adfa1a431ec50764c1a969b4d177]
- R  D            [Harrell-Davis Quantiles] [] [2013-10-04 14:07:38] [69f0adfa1a431ec50764c1a969b4d177]
-    D            [Harrell-Davis Quantiles] [] [2013-10-04 16:30:27] [69f0adfa1a431ec50764c1a969b4d177]
- R  D              [Harrell-Davis Quantiles] [] [2013-10-04 16:34:33] [69f0adfa1a431ec50764c1a969b4d177]
- RM        [Quartiles] [] [2013-10-03 18:28:39] [69f0adfa1a431ec50764c1a969b4d177]
- RM        [Quartiles] [] [2013-10-03 18:28:39] [69f0adfa1a431ec50764c1a969b4d177]
- RM D    [Histogram] [] [2013-10-02 19:24:26] [b95715fc6700d6c41997a188e5ae1cae]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1	80
2	80
3	80
4	80
5	80
6	80
7	80
8	80
9	80
10	80
11	80
12	80
13	80
14	80
15	85
16	85
17	85
18	85
19	85
20	85
21	85
22	85
23	85
24	85
25	85
26	85
27	85
28	85
29	85
30	85
31	85
32	85
33	85
34	85
35	85
36	85
37	90
38	90
39	90
40	90
41	90
42	90
43	90
44	90
45	90
46	90
47	90
48	90
49	90
50	90
51	90
52	90
53	90
54	90
55	90
56	90
57	90
58	90
59	90
60	90
61	90
62	90
63	90
64	90
65	90
66	90
67	90
68	90
69	90
70	90
71	90
72	90
73	90
74	90
75	90
76	90
77	90
78	90
79	90
80	90
81	90
82	90
83	90
84	90
85	90
86	90
87	90
88	90
89	90
90	90
91	90
92	90
93	90
94	90
95	90
96	90
97	90
98	90
99	90
100	90
101	90
102	90
103	100
104	100
105	100
106	100
107	100
108	100
109	100
110	100
111	100
112	100
113	100
114	100
115	100
116	100
117	100
118	110
119	110
120	110
121	110
122	110
123	110
124	110
125	110
126	110
127	110
128	110
129	110
130	110
131	120
132	120
133	120
134	120
135	120
136	120
137	120
138	120
139	120
140	120
141	120
142	120
143	120
144	120
145	120
146	120
147	120
148	120
149	120
150	120
151	120
152	200
153	210

Tables (Output of Computation)





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=212728&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=212728&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212728&T=0

As an alternative you can also use a QR Code:  
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


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Gemiddelde Wekelijks uitgave supermarkt ; par2 = BB- excel bestand ; par3 = Gemiddelde wekelijkse uitgave supermarkt ; par4 = 12 ;
Parameters (R input):
par1 = Gemiddelde Wekelijks uitgave supermarkt ; par2 = BB- excel bestand ; par3 = Gemiddelde wekelijkse uitgave supermarkt ; 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')