Free Statistics

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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_Reddy-Moores DAta.wasp
Title produced by softwareHistogram and QQPlot (Reddy-Moores Data)
Date of computationMon, 17 Oct 2011 06:08:48 -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/2011/Oct/17/t13188461463i1lcnbuyrirt5d.htm/, Retrieved Wed, 15 May 2024 03:55:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=130301, Retrieved Wed, 15 May 2024 03:55:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact99
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram and QQplot] [PY2224 Aston Work...] [2009-10-06 09:57:09] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   P   [Histogram and QQplot] [olivia friday] [2009-10-09 12:41:21] [3fdd735c61ad38cbc9b3393dc997cdb7]
- RMPD    [Histogram and QQplot] [Reddy Moores Hist...] [2009-10-09 13:23:16] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RM        [Histogram and QQPlot (Reddy-Moores Data)] [Histogram and QQP...] [2011-10-10 10:35:06] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R  D        [Histogram and QQPlot (Reddy-Moores Data)] [5% manual trim hi...] [2011-10-17 10:02:06] [09253b89c68efd7a460a267273a9d6e3]
-    D            [Histogram and QQPlot (Reddy-Moores Data)] [10% manual trim] [2011-10-17 10:08:48] [8e78b9caec05a843a8511780bd4770d3] [Current]
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Dataseries X:
395	'no'	56.67
330	'no'	57.00
105	'no'	57.33
138	'no'	57.33
289	'no'	57.67
302	'no'	57.67
37	'no'	58.00
51	'no'	58.00
93	'no'	58.00
110	'no'	58.00
169	'no'	58.00
246	'no'	58.00
292	'no'	58.00
305	'no'	58.00
15	'no'	58.33
343	'no'	58.33
39	'no'	58.67
101	'no'	58.67
107	'no'	58.67
111	'no'	58.67
149	'no'	58.67
380	'no'	58.67
387	'no'	58.67
49	'no'	59.00
157	'no'	59.00
55	'no'	59.33
72	'no'	59.33
145	'no'	59.33
282	'no'	59.33
356	'no'	59.33
5	'no'	59.67
238	'no'	59.67
253	'no'	59.67
314	'no'	59.67
377	'no'	59.67
378	'no'	59.67
18	'no'	60.00
36	'no'	60.00
79	'no'	60.00
200	'no'	60.00
327	'no'	60.00
334	'no'	60.00
365	'no'	60.00
367	'no'	60.00
381	'no'	60.00
1	'no'	60.33
62	'no'	60.33
102	'no'	60.33
147	'no'	60.33
357	'no'	60.33
368	'no'	60.33
209	'no'	60.67
234	'no'	60.67
252	'no'	60.67
271	'no'	60.67
321	'no'	60.67
117	'no'	61.00
124	'no'	61.00
210	'no'	61.00
286	'no'	61.00
313	'no'	61.00
388	'no'	61.00
80	'no'	61.33
119	'no'	61.33
229	'no'	61.33
232	'no'	61.33
278	'no'	61.33
345	'no'	61.33
371	'no'	61.33
45	'no'	61.67
88	'no'	61.67
164	'no'	61.67
175	'no'	61.67
264	'no'	61.67
266	'no'	61.67
325	'no'	61.67
374	'no'	61.67
69	'no'	62.00
131	'no'	62.00
150	'no'	62.00
162	'no'	62.00
257	'no'	62.00
265	'no'	62.00
40	'no'	62.33
163	'no'	62.33
178	'no'	62.33
181	'no'	62.33
249	'no'	62.67
128	'no'	63.00
139	'no'	63.00
211	'no'	63.00
3	'no'	63.33
263	'no'	63.33
319	'no'	63.33
324	'no'	63.33
393	'no'	63.33
97	'no'	63.67
106	'no'	63.67
120	'no'	63.67
158	'no'	63.67
177	'no'	63.67
254	'no'	63.67
279	'no'	63.67
300	'no'	63.67
351	'no'	63.67
41	'no'	64.00
71	'no'	64.00
85	'no'	64.00
100	'no'	64.00
214	'no'	64.00
215	'no'	64.00
255	'no'	64.00
335	'no'	64.00
14	'no'	64.33
118	'no'	64.33
189	'no'	64.67
206	'no'	64.67
316	'no'	64.67
318	'no'	64.67
173	'no'	65.00
290	'no'	65.00
339	'no'	65.00
113	'no'	65.33
298	'no'	65.33
12	'no'	65.67
108	'no'	65.67
152	'no'	65.67
293	'no'	65.67
303	'no'	65.67
86	'no'	66.00
227	'no'	66.00
307	'no'	66.00
398	'no'	66.00
34	'no'	66.33
42	'no'	66.33
20	'no'	66.67
137	'no'	66.67
403	'no'	66.67
412	'no'	66.67
273	'no'	67.33
4	'no'	67.67
250	'no'	68.00
204	'no'	68.67
90	'no'	69.00
242	'no'	70.00
226	'no'	70.33
355	'no'	71.33
285	'yes'	17.60
148	'yes'	36.33
383	'yes'	37.93
78	'yes'	41.87
104	'yes'	47.20
59	'yes'	51.53
346	'yes'	52.33
359	'yes'	52.67
230	'yes'	53.87
187	'yes'	54.20
191	'yes'	54.73
74	'yes'	55.00
392	'yes'	55.07
218	'yes'	55.47
332	'yes'	55.93
262	'yes'	56.20
60	'yes'	56.33
65	'yes'	56.67
10	'yes'	57.13
6	'yes'	57.47
350	'yes'	57.47
61	'yes'	57.67
382	'yes'	57.67
369	'yes'	57.80
129	'yes'	57.87
154	'yes'	58.07
217	'yes'	58.20
233	'yes'	58.27
320	'yes'	58.27
315	'yes'	58.33
259	'yes'	58.40
99	'yes'	58.80
115	'yes'	58.80
159	'yes'	58.93
198	'yes'	59.00
24	'yes'	59.13
237	'yes'	59.13
384	'yes'	59.40
22	'yes'	59.47
94	'yes'	59.53
179	'yes'	59.53
385	'yes'	59.53
123	'yes'	59.60
7	'yes'	59.67
25	'yes'	59.67
35	'yes'	59.73
47	'yes'	59.73
291	'yes'	59.73
311	'yes'	59.80
337	'yes'	59.80
225	'yes'	59.87
75	'yes'	60.13
306	'yes'	60.13
402	'yes'	60.13
408	'yes'	60.33
133	'yes'	60.40
342	'yes'	60.47
248	'yes'	60.73
405	'yes'	60.80
32	'yes'	60.87
185	'yes'	61.00
288	'yes'	61.00
68	'yes'	61.27
168	'yes'	61.27
67	'yes'	61.33
151	'yes'	61.40
239	'yes'	61.40
58	'yes'	61.47
216	'yes'	61.47
235	'yes'	61.60
240	'yes'	61.60
287	'yes'	61.60
404	'yes'	61.67
53	'yes'	61.80
109	'yes'	61.87
23	'yes'	61.93
77	'yes'	61.93
296	'yes'	61.93
190	'yes'	62.00
143	'yes'	62.13
21	'yes'	62.20
44	'yes'	62.40
73	'yes'	62.40
121	'yes'	62.40
338	'yes'	62.40
394	'yes'	62.40
16	'yes'	62.53
8	'yes'	62.60
17	'yes'	62.60
219	'yes'	62.60
366	'yes'	62.60
251	'yes'	62.67
360	'yes'	62.67
29	'yes'	62.80
144	'yes'	62.80
274	'yes'	62.80
267	'yes'	62.87
336	'yes'	62.87
33	'yes'	62.93
202	'yes'	62.93
207	'yes'	63.00
247	'yes'	63.00
213	'yes'	63.07
56	'yes'	63.13
409	'yes'	63.20
98	'yes'	63.27
83	'yes'	63.33
277	'yes'	63.33
165	'yes'	63.47
54	'yes'	63.53
203	'yes'	63.53
362	'yes'	63.53
136	'yes'	63.60
142	'yes'	63.67
295	'yes'	63.67
344	'yes'	63.67
96	'yes'	63.73
153	'yes'	63.73
397	'yes'	63.73
160	'yes'	63.87
183	'yes'	64.00
95	'yes'	64.07
244	'yes'	64.07
261	'yes'	64.07
46	'yes'	64.13
281	'yes'	64.20
328	'yes'	64.20
84	'yes'	64.27
352	'yes'	64.27
76	'yes'	64.40
172	'yes'	64.47
19	'yes'	64.60
223	'yes'	64.60
31	'yes'	64.67
57	'yes'	64.67
146	'yes'	64.67
161	'yes'	64.67
166	'yes'	64.67
243	'yes'	64.67
299	'yes'	64.67
411	'yes'	64.67
28	'yes'	64.73
174	'yes'	64.80
9	'yes'	64.87
114	'yes'	65.00
297	'yes'	65.00
70	'yes'	65.07
341	'yes'	65.07
401	'yes'	65.20
376	'yes'	65.47
125	'yes'	65.47
256	'yes'	65.60
333	'yes'	65.67
340	'yes'	65.67
141	'yes'	65.80
184	'yes'	65.80
258	'yes'	65.80
155	'yes'	65.93
192	'yes'	66.00
193	'yes'	66.00
194	'yes'	66.00
199	'yes'	66.00
326	'yes'	66.00
331	'yes'	66.00
399	'yes'	66.00
188	'yes'	66.07
38	'yes'	66.20
222	'yes'	66.20
26	'yes'	66.27
308	'yes'	66.27
50	'yes'	66.47
389	'yes'	66.53
64	'yes'	66.53
410	'yes'	66.53
272	'yes'	66.60
208	'yes'	66.73
283	'yes'	66.73
284	'yes'	66.73
304	'yes'	66.73
196	'yes'	66.80
370	'yes'	66.87
361	'yes'	66.93
363	'yes'	67.07




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 0 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=130301&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=130301&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=130301&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 time0 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net



Parameters (Session):
par1 = 10 ;
Parameters (R input):
par1 = 10 ;
R code (references can be found in the software module):
bitmap(file='test1.png')
par1 <- as.numeric(par1)
myhist<-hist(x, breaks=par1, col=2)
dev.off()
bitmap(file='test2.png')
qqnorm(x)
qqline(x, col=2, xlab=xlab, ylab=ylab)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Descriptive Statistics',3,TRUE)
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.element(a,hyperlink('arithmetic_mean.htm','formula','click to see the formula'))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'standard deviation',header=TRUE)
a<-table.element(a,sd(x))
a<-table.element(a,hyperlink('unbiased1.htm','formula','click to see the formula'))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')