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Paper 2012, Deel 3. ANOVA & Meervoudige Regressie; skewness happiness QQplo...

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R Software Module

rwasp_percentiles.wasp

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Percentiles

Date of computation

Mon, 17 Dec 2012 11:53:39 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/17/t1355763263o0a0dqf6qe3vzkg.htm/, Retrieved Thu, 25 Apr 2024 01:06:43 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=201063, Retrieved Thu, 25 Apr 2024 01:06:43 +0000

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Estimated Impact

117

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Central Tendency] [Arabica Price in ...] [2008-01-19 12:03:37] [74be16979710d4c4e7c6647856088456]
- RM D  [Percentiles] [] [2010-11-16 19:22:04] [b98453cac15ba1066b407e146608df68]
- R  D      [Percentiles] [Paper 2012, Deel ...] [2012-12-17 16:53:39] [e4c351aee2a0bb2c047702ea90f356fa] [Current]
-    D        [Percentiles] [Paper 2012, Deel ...] [2012-12-17 16:55:13] [346d881f0ddec1e86442b342eb3e8104] 

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'George Udny Yule' @ yule.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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201063&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201063&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201063&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 Output	view raw output of R engine
Computing time	2 seconds
R Server	'George Udny Yule' @ yule.wessa.net

Percentiles - Ungrouped Data
p	Weighted Average at Xnp	Weighted Average at X(n+1)p	Empirical Distribution Function	Empirical Distribution Function - Averaging	Empirical Distribution Function - Interpolation	Closest Observation	True Basic - Statistics Graphics Toolkit	MS Excel (old versions)
0.01	7.62	7.63	8	8	8.61	8	7.37	8
0.02	9	9	9	9	9	9	9	9
0.03	9	9	9	9	9	9	9	9
0.04	9	9	9	9	9	9	9	9
0.05	9.1	9.15	10	10	10	9	9.85	9
0.06	10	10	10	10	10	10	10	10
0.07	10	10	10	10	10.27	10	10	10
0.08	10.96	11	11	11	11	11	11	11
0.09	11	11	11	11	11	11	11	11
0.1	11	11	11	11	11	11	11	11
0.11	11	11	11	11	11	11	11	11
0.12	11	11	11	11	11	11	11	11
0.13	11	11	11	11	11	11	11	11
0.14	11	11	11	11	11	11	11	11
0.15	11.3	11.45	12	12	12	11	11.55	11
0.16	12	12	12	12	12	12	12	12
0.17	12	12	12	12	12	12	12	12
0.18	12	12	12	12	12	12	12	12
0.19	12	12	12	12	12	12	12	12
0.2	12	12	12	12	12	12	12	12
0.21	12	12	12	12	12	12	12	12
0.22	12	12	12	12	12	12	12	12
0.23	12	12	12	12	12	12	12	12
0.24	12	12	12	12	12	12	12	12
0.25	12.5	12.75	13	13	13	13	12.25	13
0.26	13	13	13	13	13	13	13	13
0.27	13	13	13	13	13	13	13	13
0.28	13	13	13	13	13	13	13	13
0.29	13	13	13	13	13	13	13	13
0.3	13	13	13	13	13	13	13	13
0.31	13	13	13	13	13	13	13	13
0.32	13	13	13	13	13	13	13	13
0.33	13	13	13	13	13	13	13	13
0.34	13	13	13	13	13	13	13	13
0.35	13	13	13	13	13	13	13	13
0.36	13	13	13	13	13	13	13	13
0.37	13.94	14	14	14	14	14	14	14
0.38	14	14	14	14	14	14	14	14
0.39	14	14	14	14	14	14	14	14
0.4	14	14	14	14	14	14	14	14
0.41	14	14	14	14	14	14	14	14
0.42	14	14	14	14	14	14	14	14
0.43	14	14	14	14	14	14	14	14
0.44	14	14	14	14	14	14	14	14
0.45	14	14	14	14	14	14	14	14
0.46	14	14	14	14	14	14	14	14
0.47	14	14	14	14	14	14	14	14
0.48	14	14	14	14	14	14	14	14
0.49	14	14	14	14	14	14	14	14
0.5	14	14	14	14	14	14	14	14
0.51	14	14	14	14	14	14	14	14
0.52	14.24	14.76	15	15	14.72	14	14.24	15
0.53	15	15	15	15	15	15	15	15
0.54	15	15	15	15	15	15	15	15
0.55	15	15	15	15	15	15	15	15
0.56	15	15	15	15	15	15	15	15
0.57	15	15	15	15	15	15	15	15
0.58	15	15	15	15	15	15	15	15
0.59	15	15	15	15	15	15	15	15
0.6	15	15	15	15	15	15	15	15
0.61	15	15	15	15	15	15	15	15
0.62	15	15	15	15	15	15	15	15
0.63	15	15	15	15	15	15	15	15
0.64	15	15	15	15	15	15	15	15
0.65	15	15	15	15	15	15	15	15
0.66	15	15	15	15	15	15	15	15
0.67	15	15	15	15	15	15	15	15
0.68	15	15	15	15	15	15	15	15
0.69	15	15	15	15	15	15	15	15
0.7	15	15	15	15	15	15	15	15
0.71	15	15	15	15	15	15	15	15
0.72	15	15	15	15	15	15	15	15
0.73	15	15	15	15	15	15	15	15
0.74	15.88	16	16	16	16	16	16	16
0.75	16	16	16	16	16	16	16	16
0.76	16	16	16	16	16	16	16	16
0.77	16	16	16	16	16	16	16	16
0.78	16	16	16	16	16	16	16	16
0.79	16	16	16	16	16	16	16	16
0.8	16	16	16	16	16	16	16	16
0.81	16	16	16	16	16	16	16	16
0.82	16	16	16	16	16	16	16	16
0.83	16	16	16	16	16	16	16	16
0.84	16	16	16	16	16	16	16	16
0.85	16	16	16	16	16	16	16	16
0.86	16	16	16	16	16	16	16	16
0.87	16	16	16	16	16	16	16	16
0.88	16.56	17	17	17	16.68	17	17	17
0.89	17	17	17	17	17	17	17	17
0.9	17	17	17	17	17	17	17	17
0.91	17	17	17	17	17	17	17	17
0.92	17	17	17	17	17	17	17	17
0.93	17	17	17	17	17	17	17	17
0.94	17	17	17	17	17	17	17	17
0.95	17	17.85	17	17	17	17	17.15	18
0.96	18	18	18	18	18	18	18	18
0.97	18	18	18	18	18	18	18	18
0.98	18	18.74	18	18	18	18	18.26	19
0.99	19	19	19	19	19	19	19	19

\begin{tabular}{lllllllll}
\hline
Percentiles - Ungrouped Data \tabularnewline
p & Weighted Average at Xnp & Weighted Average at X(n+1)p & Empirical Distribution Function & Empirical Distribution Function - Averaging & Empirical Distribution Function - Interpolation & Closest Observation & True Basic - Statistics Graphics Toolkit & MS Excel (old versions) \tabularnewline
0.01 & 7.62 & 7.63 & 8 & 8 & 8.61 & 8 & 7.37 & 8 \tabularnewline
0.02 & 9 & 9 & 9 & 9 & 9 & 9 & 9 & 9 \tabularnewline
0.03 & 9 & 9 & 9 & 9 & 9 & 9 & 9 & 9 \tabularnewline
0.04 & 9 & 9 & 9 & 9 & 9 & 9 & 9 & 9 \tabularnewline
0.05 & 9.1 & 9.15 & 10 & 10 & 10 & 9 & 9.85 & 9 \tabularnewline
0.06 & 10 & 10 & 10 & 10 & 10 & 10 & 10 & 10 \tabularnewline
0.07 & 10 & 10 & 10 & 10 & 10.27 & 10 & 10 & 10 \tabularnewline
0.08 & 10.96 & 11 & 11 & 11 & 11 & 11 & 11 & 11 \tabularnewline
0.09 & 11 & 11 & 11 & 11 & 11 & 11 & 11 & 11 \tabularnewline
0.1 & 11 & 11 & 11 & 11 & 11 & 11 & 11 & 11 \tabularnewline
0.11 & 11 & 11 & 11 & 11 & 11 & 11 & 11 & 11 \tabularnewline
0.12 & 11 & 11 & 11 & 11 & 11 & 11 & 11 & 11 \tabularnewline
0.13 & 11 & 11 & 11 & 11 & 11 & 11 & 11 & 11 \tabularnewline
0.14 & 11 & 11 & 11 & 11 & 11 & 11 & 11 & 11 \tabularnewline
0.15 & 11.3 & 11.45 & 12 & 12 & 12 & 11 & 11.55 & 11 \tabularnewline
0.16 & 12 & 12 & 12 & 12 & 12 & 12 & 12 & 12 \tabularnewline
0.17 & 12 & 12 & 12 & 12 & 12 & 12 & 12 & 12 \tabularnewline
0.18 & 12 & 12 & 12 & 12 & 12 & 12 & 12 & 12 \tabularnewline
0.19 & 12 & 12 & 12 & 12 & 12 & 12 & 12 & 12 \tabularnewline
0.2 & 12 & 12 & 12 & 12 & 12 & 12 & 12 & 12 \tabularnewline
0.21 & 12 & 12 & 12 & 12 & 12 & 12 & 12 & 12 \tabularnewline
0.22 & 12 & 12 & 12 & 12 & 12 & 12 & 12 & 12 \tabularnewline
0.23 & 12 & 12 & 12 & 12 & 12 & 12 & 12 & 12 \tabularnewline
0.24 & 12 & 12 & 12 & 12 & 12 & 12 & 12 & 12 \tabularnewline
0.25 & 12.5 & 12.75 & 13 & 13 & 13 & 13 & 12.25 & 13 \tabularnewline
0.26 & 13 & 13 & 13 & 13 & 13 & 13 & 13 & 13 \tabularnewline
0.27 & 13 & 13 & 13 & 13 & 13 & 13 & 13 & 13 \tabularnewline
0.28 & 13 & 13 & 13 & 13 & 13 & 13 & 13 & 13 \tabularnewline
0.29 & 13 & 13 & 13 & 13 & 13 & 13 & 13 & 13 \tabularnewline
0.3 & 13 & 13 & 13 & 13 & 13 & 13 & 13 & 13 \tabularnewline
0.31 & 13 & 13 & 13 & 13 & 13 & 13 & 13 & 13 \tabularnewline
0.32 & 13 & 13 & 13 & 13 & 13 & 13 & 13 & 13 \tabularnewline
0.33 & 13 & 13 & 13 & 13 & 13 & 13 & 13 & 13 \tabularnewline
0.34 & 13 & 13 & 13 & 13 & 13 & 13 & 13 & 13 \tabularnewline
0.35 & 13 & 13 & 13 & 13 & 13 & 13 & 13 & 13 \tabularnewline
0.36 & 13 & 13 & 13 & 13 & 13 & 13 & 13 & 13 \tabularnewline
0.37 & 13.94 & 14 & 14 & 14 & 14 & 14 & 14 & 14 \tabularnewline
0.38 & 14 & 14 & 14 & 14 & 14 & 14 & 14 & 14 \tabularnewline
0.39 & 14 & 14 & 14 & 14 & 14 & 14 & 14 & 14 \tabularnewline
0.4 & 14 & 14 & 14 & 14 & 14 & 14 & 14 & 14 \tabularnewline
0.41 & 14 & 14 & 14 & 14 & 14 & 14 & 14 & 14 \tabularnewline
0.42 & 14 & 14 & 14 & 14 & 14 & 14 & 14 & 14 \tabularnewline
0.43 & 14 & 14 & 14 & 14 & 14 & 14 & 14 & 14 \tabularnewline
0.44 & 14 & 14 & 14 & 14 & 14 & 14 & 14 & 14 \tabularnewline
0.45 & 14 & 14 & 14 & 14 & 14 & 14 & 14 & 14 \tabularnewline
0.46 & 14 & 14 & 14 & 14 & 14 & 14 & 14 & 14 \tabularnewline
0.47 & 14 & 14 & 14 & 14 & 14 & 14 & 14 & 14 \tabularnewline
0.48 & 14 & 14 & 14 & 14 & 14 & 14 & 14 & 14 \tabularnewline
0.49 & 14 & 14 & 14 & 14 & 14 & 14 & 14 & 14 \tabularnewline
0.5 & 14 & 14 & 14 & 14 & 14 & 14 & 14 & 14 \tabularnewline
0.51 & 14 & 14 & 14 & 14 & 14 & 14 & 14 & 14 \tabularnewline
0.52 & 14.24 & 14.76 & 15 & 15 & 14.72 & 14 & 14.24 & 15 \tabularnewline
0.53 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.54 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.55 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.56 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.57 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.58 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.59 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.6 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.61 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.62 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.63 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.64 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.65 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.66 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.67 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.68 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.69 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.7 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.71 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.72 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.73 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.74 & 15.88 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.75 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.76 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.77 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.78 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.79 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.8 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.81 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.82 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.83 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.84 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.85 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.86 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.87 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.88 & 16.56 & 17 & 17 & 17 & 16.68 & 17 & 17 & 17 \tabularnewline
0.89 & 17 & 17 & 17 & 17 & 17 & 17 & 17 & 17 \tabularnewline
0.9 & 17 & 17 & 17 & 17 & 17 & 17 & 17 & 17 \tabularnewline
0.91 & 17 & 17 & 17 & 17 & 17 & 17 & 17 & 17 \tabularnewline
0.92 & 17 & 17 & 17 & 17 & 17 & 17 & 17 & 17 \tabularnewline
0.93 & 17 & 17 & 17 & 17 & 17 & 17 & 17 & 17 \tabularnewline
0.94 & 17 & 17 & 17 & 17 & 17 & 17 & 17 & 17 \tabularnewline
0.95 & 17 & 17.85 & 17 & 17 & 17 & 17 & 17.15 & 18 \tabularnewline
0.96 & 18 & 18 & 18 & 18 & 18 & 18 & 18 & 18 \tabularnewline
0.97 & 18 & 18 & 18 & 18 & 18 & 18 & 18 & 18 \tabularnewline
0.98 & 18 & 18.74 & 18 & 18 & 18 & 18 & 18.26 & 19 \tabularnewline
0.99 & 19 & 19 & 19 & 19 & 19 & 19 & 19 & 19 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201063&T=1

[TABLE]
[ROW][C]Percentiles - Ungrouped Data[/C][/ROW]
[ROW][C]p[/C][C]Weighted Average at Xnp[/C][C]Weighted Average at X(n+1)p[/C][C]Empirical Distribution Function[/C][C]Empirical Distribution Function - Averaging[/C][C]Empirical Distribution Function - Interpolation[/C][C]Closest Observation[/C][C]True Basic - Statistics Graphics Toolkit[/C][C]MS Excel (old versions)[/C][/ROW]
[ROW][C]0.01[/C][C]7.62[/C][C]7.63[/C][C]8[/C][C]8[/C][C]8.61[/C][C]8[/C][C]7.37[/C][C]8[/C][/ROW]
[ROW][C]0.02[/C][C]9[/C][C]9[/C][C]9[/C][C]9[/C][C]9[/C][C]9[/C][C]9[/C][C]9[/C][/ROW]
[ROW][C]0.03[/C][C]9[/C][C]9[/C][C]9[/C][C]9[/C][C]9[/C][C]9[/C][C]9[/C][C]9[/C][/ROW]
[ROW][C]0.04[/C][C]9[/C][C]9[/C][C]9[/C][C]9[/C][C]9[/C][C]9[/C][C]9[/C][C]9[/C][/ROW]
[ROW][C]0.05[/C][C]9.1[/C][C]9.15[/C][C]10[/C][C]10[/C][C]10[/C][C]9[/C][C]9.85[/C][C]9[/C][/ROW]
[ROW][C]0.06[/C][C]10[/C][C]10[/C][C]10[/C][C]10[/C][C]10[/C][C]10[/C][C]10[/C][C]10[/C][/ROW]
[ROW][C]0.07[/C][C]10[/C][C]10[/C][C]10[/C][C]10[/C][C]10.27[/C][C]10[/C][C]10[/C][C]10[/C][/ROW]
[ROW][C]0.08[/C][C]10.96[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][/ROW]
[ROW][C]0.09[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][/ROW]
[ROW][C]0.1[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][/ROW]
[ROW][C]0.11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][/ROW]
[ROW][C]0.12[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][/ROW]
[ROW][C]0.13[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][/ROW]
[ROW][C]0.14[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][/ROW]
[ROW][C]0.15[/C][C]11.3[/C][C]11.45[/C][C]12[/C][C]12[/C][C]12[/C][C]11[/C][C]11.55[/C][C]11[/C][/ROW]
[ROW][C]0.16[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][/ROW]
[ROW][C]0.17[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][/ROW]
[ROW][C]0.18[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][/ROW]
[ROW][C]0.19[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][/ROW]
[ROW][C]0.2[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][/ROW]
[ROW][C]0.21[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][/ROW]
[ROW][C]0.22[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][/ROW]
[ROW][C]0.23[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][/ROW]
[ROW][C]0.24[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][/ROW]
[ROW][C]0.25[/C][C]12.5[/C][C]12.75[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]12.25[/C][C]13[/C][/ROW]
[ROW][C]0.26[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][/ROW]
[ROW][C]0.27[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][/ROW]
[ROW][C]0.28[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][/ROW]
[ROW][C]0.29[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][/ROW]
[ROW][C]0.3[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][/ROW]
[ROW][C]0.31[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][/ROW]
[ROW][C]0.32[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][/ROW]
[ROW][C]0.33[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][/ROW]
[ROW][C]0.34[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][/ROW]
[ROW][C]0.35[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][/ROW]
[ROW][C]0.36[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][/ROW]
[ROW][C]0.37[/C][C]13.94[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][/ROW]
[ROW][C]0.38[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][/ROW]
[ROW][C]0.39[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][/ROW]
[ROW][C]0.4[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][/ROW]
[ROW][C]0.41[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][/ROW]
[ROW][C]0.42[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][/ROW]
[ROW][C]0.43[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][/ROW]
[ROW][C]0.44[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][/ROW]
[ROW][C]0.45[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][/ROW]
[ROW][C]0.46[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][/ROW]
[ROW][C]0.47[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][/ROW]
[ROW][C]0.48[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][/ROW]
[ROW][C]0.49[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][/ROW]
[ROW][C]0.5[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][/ROW]
[ROW][C]0.51[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][/ROW]
[ROW][C]0.52[/C][C]14.24[/C][C]14.76[/C][C]15[/C][C]15[/C][C]14.72[/C][C]14[/C][C]14.24[/C][C]15[/C][/ROW]
[ROW][C]0.53[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.54[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.55[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.56[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.57[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.58[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.59[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.6[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.61[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.62[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.63[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.64[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.65[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.66[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.67[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.68[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.69[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.7[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.71[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.72[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.73[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.74[/C][C]15.88[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][/ROW]
[ROW][C]0.75[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][/ROW]
[ROW][C]0.76[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][/ROW]
[ROW][C]0.77[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][/ROW]
[ROW][C]0.78[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][/ROW]
[ROW][C]0.79[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][/ROW]
[ROW][C]0.8[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][/ROW]
[ROW][C]0.81[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][/ROW]
[ROW][C]0.82[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][/ROW]
[ROW][C]0.83[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][/ROW]
[ROW][C]0.84[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][/ROW]
[ROW][C]0.85[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][/ROW]
[ROW][C]0.86[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][/ROW]
[ROW][C]0.87[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][/ROW]
[ROW][C]0.88[/C][C]16.56[/C][C]17[/C][C]17[/C][C]17[/C][C]16.68[/C][C]17[/C][C]17[/C][C]17[/C][/ROW]
[ROW][C]0.89[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][/ROW]
[ROW][C]0.9[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][/ROW]
[ROW][C]0.91[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][/ROW]
[ROW][C]0.92[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][/ROW]
[ROW][C]0.93[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][/ROW]
[ROW][C]0.94[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][/ROW]
[ROW][C]0.95[/C][C]17[/C][C]17.85[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17.15[/C][C]18[/C][/ROW]
[ROW][C]0.96[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][/ROW]
[ROW][C]0.97[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][/ROW]
[ROW][C]0.98[/C][C]18[/C][C]18.74[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18.26[/C][C]19[/C][/ROW]
[ROW][C]0.99[/C][C]19[/C][C]19[/C][C]19[/C][C]19[/C][C]19[/C][C]19[/C][C]19[/C][C]19[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201063&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201063&T=1

As an alternative you can also use a QR Code:

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

Percentiles - Ungrouped Data
p	Weighted Average at Xnp	Weighted Average at X(n+1)p	Empirical Distribution Function	Empirical Distribution Function - Averaging	Empirical Distribution Function - Interpolation	Closest Observation	True Basic - Statistics Graphics Toolkit	MS Excel (old versions)
0.01	7.62	7.63	8	8	8.61	8	7.37	8
0.02	9	9	9	9	9	9	9	9
0.03	9	9	9	9	9	9	9	9
0.04	9	9	9	9	9	9	9	9
0.05	9.1	9.15	10	10	10	9	9.85	9
0.06	10	10	10	10	10	10	10	10
0.07	10	10	10	10	10.27	10	10	10
0.08	10.96	11	11	11	11	11	11	11
0.09	11	11	11	11	11	11	11	11
0.1	11	11	11	11	11	11	11	11
0.11	11	11	11	11	11	11	11	11
0.12	11	11	11	11	11	11	11	11
0.13	11	11	11	11	11	11	11	11
0.14	11	11	11	11	11	11	11	11
0.15	11.3	11.45	12	12	12	11	11.55	11
0.16	12	12	12	12	12	12	12	12
0.17	12	12	12	12	12	12	12	12
0.18	12	12	12	12	12	12	12	12
0.19	12	12	12	12	12	12	12	12
0.2	12	12	12	12	12	12	12	12
0.21	12	12	12	12	12	12	12	12
0.22	12	12	12	12	12	12	12	12
0.23	12	12	12	12	12	12	12	12
0.24	12	12	12	12	12	12	12	12
0.25	12.5	12.75	13	13	13	13	12.25	13
0.26	13	13	13	13	13	13	13	13
0.27	13	13	13	13	13	13	13	13
0.28	13	13	13	13	13	13	13	13
0.29	13	13	13	13	13	13	13	13
0.3	13	13	13	13	13	13	13	13
0.31	13	13	13	13	13	13	13	13
0.32	13	13	13	13	13	13	13	13
0.33	13	13	13	13	13	13	13	13
0.34	13	13	13	13	13	13	13	13
0.35	13	13	13	13	13	13	13	13
0.36	13	13	13	13	13	13	13	13
0.37	13.94	14	14	14	14	14	14	14
0.38	14	14	14	14	14	14	14	14
0.39	14	14	14	14	14	14	14	14
0.4	14	14	14	14	14	14	14	14
0.41	14	14	14	14	14	14	14	14
0.42	14	14	14	14	14	14	14	14
0.43	14	14	14	14	14	14	14	14
0.44	14	14	14	14	14	14	14	14
0.45	14	14	14	14	14	14	14	14
0.46	14	14	14	14	14	14	14	14
0.47	14	14	14	14	14	14	14	14
0.48	14	14	14	14	14	14	14	14
0.49	14	14	14	14	14	14	14	14
0.5	14	14	14	14	14	14	14	14
0.51	14	14	14	14	14	14	14	14
0.52	14.24	14.76	15	15	14.72	14	14.24	15
0.53	15	15	15	15	15	15	15	15
0.54	15	15	15	15	15	15	15	15
0.55	15	15	15	15	15	15	15	15
0.56	15	15	15	15	15	15	15	15
0.57	15	15	15	15	15	15	15	15
0.58	15	15	15	15	15	15	15	15
0.59	15	15	15	15	15	15	15	15
0.6	15	15	15	15	15	15	15	15
0.61	15	15	15	15	15	15	15	15
0.62	15	15	15	15	15	15	15	15
0.63	15	15	15	15	15	15	15	15
0.64	15	15	15	15	15	15	15	15
0.65	15	15	15	15	15	15	15	15
0.66	15	15	15	15	15	15	15	15
0.67	15	15	15	15	15	15	15	15
0.68	15	15	15	15	15	15	15	15
0.69	15	15	15	15	15	15	15	15
0.7	15	15	15	15	15	15	15	15
0.71	15	15	15	15	15	15	15	15
0.72	15	15	15	15	15	15	15	15
0.73	15	15	15	15	15	15	15	15
0.74	15.88	16	16	16	16	16	16	16
0.75	16	16	16	16	16	16	16	16
0.76	16	16	16	16	16	16	16	16
0.77	16	16	16	16	16	16	16	16
0.78	16	16	16	16	16	16	16	16
0.79	16	16	16	16	16	16	16	16
0.8	16	16	16	16	16	16	16	16
0.81	16	16	16	16	16	16	16	16
0.82	16	16	16	16	16	16	16	16
0.83	16	16	16	16	16	16	16	16
0.84	16	16	16	16	16	16	16	16
0.85	16	16	16	16	16	16	16	16
0.86	16	16	16	16	16	16	16	16
0.87	16	16	16	16	16	16	16	16
0.88	16.56	17	17	17	16.68	17	17	17
0.89	17	17	17	17	17	17	17	17
0.9	17	17	17	17	17	17	17	17
0.91	17	17	17	17	17	17	17	17
0.92	17	17	17	17	17	17	17	17
0.93	17	17	17	17	17	17	17	17
0.94	17	17	17	17	17	17	17	17
0.95	17	17.85	17	17	17	17	17.15	18
0.96	18	18	18	18	18	18	18	18
0.97	18	18	18	18	18	18	18	18
0.98	18	18.74	18	18	18	18	18.26	19
0.99	19	19	19	19	19	19	19	19

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

Parameters (R input):

R code (references can be found in the software module):

x <-sort(x[!is.na(x)])
q1 <- function(data,n,p,i,f) {
np <- n*p;
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q2 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q3 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
q4 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- (data[i]+data[i+1])/2
} else {
qvalue <- data[i+1]
}
}
q5 <- function(data,n,p,i,f) {
np <- (n-1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i+1]
} else {
qvalue <- data[i+1] + f*(data[i+2]-data[i+1])
}
}
q6 <- function(data,n,p,i,f) {
np <- n*p+0.5
i <<- floor(np)
f <<- np - i
qvalue <- data[i]
}
q7 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- f*data[i] + (1-f)*data[i+1]
}
}
q8 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
if (f == 0.5) {
qvalue <- (data[i]+data[i+1])/2
} else {
if (f < 0.5) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
}
}
lx <- length(x)
qval <- array(NA,dim=c(99,8))
mystep <- 25
mystart <- 25
if (lx>10){
mystep=10
mystart=10
}
if (lx>20){
mystep=5
mystart=5
}
if (lx>50){
mystep=2
mystart=2
}
if (lx>=100){
mystep=1
mystart=1
}
for (perc in seq(mystart,99,mystep)) {
qval[perc,1] <- q1(x,lx,perc/100,i,f)
qval[perc,2] <- q2(x,lx,perc/100,i,f)
qval[perc,3] <- q3(x,lx,perc/100,i,f)
qval[perc,4] <- q4(x,lx,perc/100,i,f)
qval[perc,5] <- q5(x,lx,perc/100,i,f)
qval[perc,6] <- q6(x,lx,perc/100,i,f)
qval[perc,7] <- q7(x,lx,perc/100,i,f)
qval[perc,8] <- q8(x,lx,perc/100,i,f)
}
bitmap(file='test1.png')
myqqnorm <- qqnorm(x,col=2)
qqline(x)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Percentiles - Ungrouped Data',9,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p',1,TRUE)
a<-table.element(a,hyperlink('method_1.htm', 'Weighted Average at Xnp',''),1,TRUE)
a<-table.element(a,hyperlink('method_2.htm','Weighted Average at X(n+1)p',''),1,TRUE)
a<-table.element(a,hyperlink('method_3.htm','Empirical Distribution Function',''),1,TRUE)
a<-table.element(a,hyperlink('method_4.htm','Empirical Distribution Function - Averaging',''),1,TRUE)
a<-table.element(a,hyperlink('method_5.htm','Empirical Distribution Function - Interpolation',''),1,TRUE)
a<-table.element(a,hyperlink('method_6.htm','Closest Observation',''),1,TRUE)
a<-table.element(a,hyperlink('method_7.htm','True Basic - Statistics Graphics Toolkit',''),1,TRUE)
a<-table.element(a,hyperlink('method_8.htm','MS Excel (old versions)',''),1,TRUE)
a<-table.row.end(a)
for (perc in seq(mystart,99,mystep)) {
a<-table.row.start(a)
a<-table.element(a,round(perc/100,2),1,TRUE)
for (j in 1:8) {
a<-table.element(a,round(qval[perc,j],6))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')

Free Statistics

Description of Statistical Computation

Paper 2012, Deel 3. ANOVA & Meervoudige Regressie; skewness happiness QQplo...

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code