Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_percentiles.wasp

Title produced by software

Percentiles

Date of computation

Tue, 20 Oct 2009 13:41:01 -0600

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/20/t1256067708aberthlocjj1033.htm/, Retrieved Wed, 29 Apr 2026 23:47:11 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49083, Retrieved Wed, 29 Apr 2026 23:47:11 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

SHWWS3VR2

Estimated Impact

370

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] [74be16979710d4c4e7c6647856088456]
- RMP       [Univariate Explorative Data Analysis] [] [2009-10-20 17:16:13] [09f192433169b2c787c4a71fde86e883]
- RMPD          [Percentiles] [] [2009-10-20 19:41:01] [71596e6a53ccce532e52aaf6113616ef] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

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	'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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49083&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49083&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49083&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	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

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)
0.02	289.8	289.8	289.8	289.8	289.89	289.8	289.8	289.8
0.04	290	290.02	290.3	290.3	290.624	289.8	290.08	289.8
0.06	290.84	290.894	291.2	291.2	291.524	291.2	290.606	291.2
0.08	291.68	291.728	291.8	291.8	292.304	291.8	291.272	291.8
0.1	292.5	292.54	292.5	292.7	292.86	292.5	292.86	292.5
0.12	293.82	294.372	297.5	297.5	298.068	292.9	296.028	292.9
0.14	300.34	301.334	304.6	304.6	304.626	297.5	300.766	304.6
0.16	304.66	304.676	304.7	304.7	305.932	304.7	304.624	304.7
0.18	306.94	307.444	307.5	307.5	309.484	307.5	304.756	307.5
0.2	310.7	310.7	310.7	310.7	310.7	310.7	310.7	310.7
0.22	311	311.33	312.2	312.2	312.17	310.7	311.57	310.7
0.24	312.44	312.584	312.8	312.8	313.04	312.2	312.416	312.8
0.26	313.7	314.09	314.3	314.3	314.436	314.3	313.01	314.3
0.28	314.62	314.78	314.7	314.7	315.22	314.7	315.62	314.7
0.3	315.7	316.9	315.7	317.7	318.5	315.7	318.5	315.7
0.32	319.74	319.804	319.9	319.9	319.876	319.7	319.796	319.9
0.34	322.7	325.08	326.9	326.9	327.056	319.9	321.72	326.9
0.36	328.46	329.396	329.5	329.5	329.548	329.5	327.004	329.5
0.38	329.66	330.78	329.7	329.7	332.22	329.7	334.62	329.7
0.4	335.7	336.3	335.7	336.45	336.6	335.7	336.6	335.7
0.42	337.42	337.882	338.3	338.3	338.058	337.2	337.618	338.3
0.44	338.3	338.3	338.3	338.3	338.3	338.3	338.3	338.3
0.46	338.72	339.012	339	339	339.028	339	339.188	339
0.48	339.16	339.34	339.2	339.2	339.36	339.2	339.56	339.2
0.5	339.7	340.95	339.7	340.95	340.95	339.7	340.95	340.95
0.52	342.26	342.416	342.5	342.5	342.404	342.2	342.284	342.5
0.54	343.86	345.696	345.9	345.9	345.424	342.5	342.704	345.9
0.56	349.26	351.708	351.5	351.5	351.552	351.5	352.592	351.5
0.58	352.54	355.688	352.8	352.8	354.472	352.8	357.512	352.8
0.6	360.4	366.04	360.4	365.1	364.16	360.4	364.16	369.8
0.62	370.14	371.194	371.5	371.5	370.786	369.8	370.106	371.5
0.64	371.7	372.088	372	372	371.88	371.5	374.112	372
0.66	373.32	374.382	374.2	374.2	374.068	374.2	374.718	374.2
0.68	374.76	375.572	374.9	374.9	375.068	374.9	375.628	374.9
0.7	376.3	376.72	376.3	376.6	376.48	376.3	376.48	376.9
0.72	377.66	380.396	380.7	380.7	378.724	376.9	377.204	380.7
0.74	380.9	381.298	381.2	381.2	381.03	380.7	381.802	381.2
0.76	381.62	382.512	381.9	381.9	381.788	381.9	382.988	381.9
0.78	383.26	385.862	383.6	383.6	383.678	383.6	385.238	387.5
0.8	387.5	389.82	387.5	388.95	388.08	387.5	388.08	390.4
0.82	390.54	391.136	391.1	391.1	390.666	390.4	392.864	391.1
0.84	391.82	393.26	392.9	392.9	392.108	391.1	394.04	392.9
0.86	393.8	394.722	394.4	394.4	394.01	394.4	394.778	394.4
0.88	394.96	396.46	395.1	395.1	395.044	395.1	395.74	397.1
0.9	397.1	397.37	397.1	397.25	397.13	397.1	397.13	397.4
0.92	397.94	400.112	400.1	400.1	398.156	397.4	400.188	400.1
0.94	400.14	401.39	400.2	400.2	400.146	400.1	402.51	400.2
0.96	402.3	403.98	403.7	403.7	402.44	403.7	403.92	404.2
0.98	404.1	404.59	404.2	404.2	404.11	404.2	404.31	404.7

\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
0.02 & 289.8 & 289.8 & 289.8 & 289.8 & 289.89 & 289.8 & 289.8 & 289.8 \tabularnewline
0.04 & 290 & 290.02 & 290.3 & 290.3 & 290.624 & 289.8 & 290.08 & 289.8 \tabularnewline
0.06 & 290.84 & 290.894 & 291.2 & 291.2 & 291.524 & 291.2 & 290.606 & 291.2 \tabularnewline
0.08 & 291.68 & 291.728 & 291.8 & 291.8 & 292.304 & 291.8 & 291.272 & 291.8 \tabularnewline
0.1 & 292.5 & 292.54 & 292.5 & 292.7 & 292.86 & 292.5 & 292.86 & 292.5 \tabularnewline
0.12 & 293.82 & 294.372 & 297.5 & 297.5 & 298.068 & 292.9 & 296.028 & 292.9 \tabularnewline
0.14 & 300.34 & 301.334 & 304.6 & 304.6 & 304.626 & 297.5 & 300.766 & 304.6 \tabularnewline
0.16 & 304.66 & 304.676 & 304.7 & 304.7 & 305.932 & 304.7 & 304.624 & 304.7 \tabularnewline
0.18 & 306.94 & 307.444 & 307.5 & 307.5 & 309.484 & 307.5 & 304.756 & 307.5 \tabularnewline
0.2 & 310.7 & 310.7 & 310.7 & 310.7 & 310.7 & 310.7 & 310.7 & 310.7 \tabularnewline
0.22 & 311 & 311.33 & 312.2 & 312.2 & 312.17 & 310.7 & 311.57 & 310.7 \tabularnewline
0.24 & 312.44 & 312.584 & 312.8 & 312.8 & 313.04 & 312.2 & 312.416 & 312.8 \tabularnewline
0.26 & 313.7 & 314.09 & 314.3 & 314.3 & 314.436 & 314.3 & 313.01 & 314.3 \tabularnewline
0.28 & 314.62 & 314.78 & 314.7 & 314.7 & 315.22 & 314.7 & 315.62 & 314.7 \tabularnewline
0.3 & 315.7 & 316.9 & 315.7 & 317.7 & 318.5 & 315.7 & 318.5 & 315.7 \tabularnewline
0.32 & 319.74 & 319.804 & 319.9 & 319.9 & 319.876 & 319.7 & 319.796 & 319.9 \tabularnewline
0.34 & 322.7 & 325.08 & 326.9 & 326.9 & 327.056 & 319.9 & 321.72 & 326.9 \tabularnewline
0.36 & 328.46 & 329.396 & 329.5 & 329.5 & 329.548 & 329.5 & 327.004 & 329.5 \tabularnewline
0.38 & 329.66 & 330.78 & 329.7 & 329.7 & 332.22 & 329.7 & 334.62 & 329.7 \tabularnewline
0.4 & 335.7 & 336.3 & 335.7 & 336.45 & 336.6 & 335.7 & 336.6 & 335.7 \tabularnewline
0.42 & 337.42 & 337.882 & 338.3 & 338.3 & 338.058 & 337.2 & 337.618 & 338.3 \tabularnewline
0.44 & 338.3 & 338.3 & 338.3 & 338.3 & 338.3 & 338.3 & 338.3 & 338.3 \tabularnewline
0.46 & 338.72 & 339.012 & 339 & 339 & 339.028 & 339 & 339.188 & 339 \tabularnewline
0.48 & 339.16 & 339.34 & 339.2 & 339.2 & 339.36 & 339.2 & 339.56 & 339.2 \tabularnewline
0.5 & 339.7 & 340.95 & 339.7 & 340.95 & 340.95 & 339.7 & 340.95 & 340.95 \tabularnewline
0.52 & 342.26 & 342.416 & 342.5 & 342.5 & 342.404 & 342.2 & 342.284 & 342.5 \tabularnewline
0.54 & 343.86 & 345.696 & 345.9 & 345.9 & 345.424 & 342.5 & 342.704 & 345.9 \tabularnewline
0.56 & 349.26 & 351.708 & 351.5 & 351.5 & 351.552 & 351.5 & 352.592 & 351.5 \tabularnewline
0.58 & 352.54 & 355.688 & 352.8 & 352.8 & 354.472 & 352.8 & 357.512 & 352.8 \tabularnewline
0.6 & 360.4 & 366.04 & 360.4 & 365.1 & 364.16 & 360.4 & 364.16 & 369.8 \tabularnewline
0.62 & 370.14 & 371.194 & 371.5 & 371.5 & 370.786 & 369.8 & 370.106 & 371.5 \tabularnewline
0.64 & 371.7 & 372.088 & 372 & 372 & 371.88 & 371.5 & 374.112 & 372 \tabularnewline
0.66 & 373.32 & 374.382 & 374.2 & 374.2 & 374.068 & 374.2 & 374.718 & 374.2 \tabularnewline
0.68 & 374.76 & 375.572 & 374.9 & 374.9 & 375.068 & 374.9 & 375.628 & 374.9 \tabularnewline
0.7 & 376.3 & 376.72 & 376.3 & 376.6 & 376.48 & 376.3 & 376.48 & 376.9 \tabularnewline
0.72 & 377.66 & 380.396 & 380.7 & 380.7 & 378.724 & 376.9 & 377.204 & 380.7 \tabularnewline
0.74 & 380.9 & 381.298 & 381.2 & 381.2 & 381.03 & 380.7 & 381.802 & 381.2 \tabularnewline
0.76 & 381.62 & 382.512 & 381.9 & 381.9 & 381.788 & 381.9 & 382.988 & 381.9 \tabularnewline
0.78 & 383.26 & 385.862 & 383.6 & 383.6 & 383.678 & 383.6 & 385.238 & 387.5 \tabularnewline
0.8 & 387.5 & 389.82 & 387.5 & 388.95 & 388.08 & 387.5 & 388.08 & 390.4 \tabularnewline
0.82 & 390.54 & 391.136 & 391.1 & 391.1 & 390.666 & 390.4 & 392.864 & 391.1 \tabularnewline
0.84 & 391.82 & 393.26 & 392.9 & 392.9 & 392.108 & 391.1 & 394.04 & 392.9 \tabularnewline
0.86 & 393.8 & 394.722 & 394.4 & 394.4 & 394.01 & 394.4 & 394.778 & 394.4 \tabularnewline
0.88 & 394.96 & 396.46 & 395.1 & 395.1 & 395.044 & 395.1 & 395.74 & 397.1 \tabularnewline
0.9 & 397.1 & 397.37 & 397.1 & 397.25 & 397.13 & 397.1 & 397.13 & 397.4 \tabularnewline
0.92 & 397.94 & 400.112 & 400.1 & 400.1 & 398.156 & 397.4 & 400.188 & 400.1 \tabularnewline
0.94 & 400.14 & 401.39 & 400.2 & 400.2 & 400.146 & 400.1 & 402.51 & 400.2 \tabularnewline
0.96 & 402.3 & 403.98 & 403.7 & 403.7 & 402.44 & 403.7 & 403.92 & 404.2 \tabularnewline
0.98 & 404.1 & 404.59 & 404.2 & 404.2 & 404.11 & 404.2 & 404.31 & 404.7 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49083&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]0.02[/C][C]289.8[/C][C]289.8[/C][C]289.8[/C][C]289.8[/C][C]289.89[/C][C]289.8[/C][C]289.8[/C][C]289.8[/C][/ROW]
[ROW][C]0.04[/C][C]290[/C][C]290.02[/C][C]290.3[/C][C]290.3[/C][C]290.624[/C][C]289.8[/C][C]290.08[/C][C]289.8[/C][/ROW]
[ROW][C]0.06[/C][C]290.84[/C][C]290.894[/C][C]291.2[/C][C]291.2[/C][C]291.524[/C][C]291.2[/C][C]290.606[/C][C]291.2[/C][/ROW]
[ROW][C]0.08[/C][C]291.68[/C][C]291.728[/C][C]291.8[/C][C]291.8[/C][C]292.304[/C][C]291.8[/C][C]291.272[/C][C]291.8[/C][/ROW]
[ROW][C]0.1[/C][C]292.5[/C][C]292.54[/C][C]292.5[/C][C]292.7[/C][C]292.86[/C][C]292.5[/C][C]292.86[/C][C]292.5[/C][/ROW]
[ROW][C]0.12[/C][C]293.82[/C][C]294.372[/C][C]297.5[/C][C]297.5[/C][C]298.068[/C][C]292.9[/C][C]296.028[/C][C]292.9[/C][/ROW]
[ROW][C]0.14[/C][C]300.34[/C][C]301.334[/C][C]304.6[/C][C]304.6[/C][C]304.626[/C][C]297.5[/C][C]300.766[/C][C]304.6[/C][/ROW]
[ROW][C]0.16[/C][C]304.66[/C][C]304.676[/C][C]304.7[/C][C]304.7[/C][C]305.932[/C][C]304.7[/C][C]304.624[/C][C]304.7[/C][/ROW]
[ROW][C]0.18[/C][C]306.94[/C][C]307.444[/C][C]307.5[/C][C]307.5[/C][C]309.484[/C][C]307.5[/C][C]304.756[/C][C]307.5[/C][/ROW]
[ROW][C]0.2[/C][C]310.7[/C][C]310.7[/C][C]310.7[/C][C]310.7[/C][C]310.7[/C][C]310.7[/C][C]310.7[/C][C]310.7[/C][/ROW]
[ROW][C]0.22[/C][C]311[/C][C]311.33[/C][C]312.2[/C][C]312.2[/C][C]312.17[/C][C]310.7[/C][C]311.57[/C][C]310.7[/C][/ROW]
[ROW][C]0.24[/C][C]312.44[/C][C]312.584[/C][C]312.8[/C][C]312.8[/C][C]313.04[/C][C]312.2[/C][C]312.416[/C][C]312.8[/C][/ROW]
[ROW][C]0.26[/C][C]313.7[/C][C]314.09[/C][C]314.3[/C][C]314.3[/C][C]314.436[/C][C]314.3[/C][C]313.01[/C][C]314.3[/C][/ROW]
[ROW][C]0.28[/C][C]314.62[/C][C]314.78[/C][C]314.7[/C][C]314.7[/C][C]315.22[/C][C]314.7[/C][C]315.62[/C][C]314.7[/C][/ROW]
[ROW][C]0.3[/C][C]315.7[/C][C]316.9[/C][C]315.7[/C][C]317.7[/C][C]318.5[/C][C]315.7[/C][C]318.5[/C][C]315.7[/C][/ROW]
[ROW][C]0.32[/C][C]319.74[/C][C]319.804[/C][C]319.9[/C][C]319.9[/C][C]319.876[/C][C]319.7[/C][C]319.796[/C][C]319.9[/C][/ROW]
[ROW][C]0.34[/C][C]322.7[/C][C]325.08[/C][C]326.9[/C][C]326.9[/C][C]327.056[/C][C]319.9[/C][C]321.72[/C][C]326.9[/C][/ROW]
[ROW][C]0.36[/C][C]328.46[/C][C]329.396[/C][C]329.5[/C][C]329.5[/C][C]329.548[/C][C]329.5[/C][C]327.004[/C][C]329.5[/C][/ROW]
[ROW][C]0.38[/C][C]329.66[/C][C]330.78[/C][C]329.7[/C][C]329.7[/C][C]332.22[/C][C]329.7[/C][C]334.62[/C][C]329.7[/C][/ROW]
[ROW][C]0.4[/C][C]335.7[/C][C]336.3[/C][C]335.7[/C][C]336.45[/C][C]336.6[/C][C]335.7[/C][C]336.6[/C][C]335.7[/C][/ROW]
[ROW][C]0.42[/C][C]337.42[/C][C]337.882[/C][C]338.3[/C][C]338.3[/C][C]338.058[/C][C]337.2[/C][C]337.618[/C][C]338.3[/C][/ROW]
[ROW][C]0.44[/C][C]338.3[/C][C]338.3[/C][C]338.3[/C][C]338.3[/C][C]338.3[/C][C]338.3[/C][C]338.3[/C][C]338.3[/C][/ROW]
[ROW][C]0.46[/C][C]338.72[/C][C]339.012[/C][C]339[/C][C]339[/C][C]339.028[/C][C]339[/C][C]339.188[/C][C]339[/C][/ROW]
[ROW][C]0.48[/C][C]339.16[/C][C]339.34[/C][C]339.2[/C][C]339.2[/C][C]339.36[/C][C]339.2[/C][C]339.56[/C][C]339.2[/C][/ROW]
[ROW][C]0.5[/C][C]339.7[/C][C]340.95[/C][C]339.7[/C][C]340.95[/C][C]340.95[/C][C]339.7[/C][C]340.95[/C][C]340.95[/C][/ROW]
[ROW][C]0.52[/C][C]342.26[/C][C]342.416[/C][C]342.5[/C][C]342.5[/C][C]342.404[/C][C]342.2[/C][C]342.284[/C][C]342.5[/C][/ROW]
[ROW][C]0.54[/C][C]343.86[/C][C]345.696[/C][C]345.9[/C][C]345.9[/C][C]345.424[/C][C]342.5[/C][C]342.704[/C][C]345.9[/C][/ROW]
[ROW][C]0.56[/C][C]349.26[/C][C]351.708[/C][C]351.5[/C][C]351.5[/C][C]351.552[/C][C]351.5[/C][C]352.592[/C][C]351.5[/C][/ROW]
[ROW][C]0.58[/C][C]352.54[/C][C]355.688[/C][C]352.8[/C][C]352.8[/C][C]354.472[/C][C]352.8[/C][C]357.512[/C][C]352.8[/C][/ROW]
[ROW][C]0.6[/C][C]360.4[/C][C]366.04[/C][C]360.4[/C][C]365.1[/C][C]364.16[/C][C]360.4[/C][C]364.16[/C][C]369.8[/C][/ROW]
[ROW][C]0.62[/C][C]370.14[/C][C]371.194[/C][C]371.5[/C][C]371.5[/C][C]370.786[/C][C]369.8[/C][C]370.106[/C][C]371.5[/C][/ROW]
[ROW][C]0.64[/C][C]371.7[/C][C]372.088[/C][C]372[/C][C]372[/C][C]371.88[/C][C]371.5[/C][C]374.112[/C][C]372[/C][/ROW]
[ROW][C]0.66[/C][C]373.32[/C][C]374.382[/C][C]374.2[/C][C]374.2[/C][C]374.068[/C][C]374.2[/C][C]374.718[/C][C]374.2[/C][/ROW]
[ROW][C]0.68[/C][C]374.76[/C][C]375.572[/C][C]374.9[/C][C]374.9[/C][C]375.068[/C][C]374.9[/C][C]375.628[/C][C]374.9[/C][/ROW]
[ROW][C]0.7[/C][C]376.3[/C][C]376.72[/C][C]376.3[/C][C]376.6[/C][C]376.48[/C][C]376.3[/C][C]376.48[/C][C]376.9[/C][/ROW]
[ROW][C]0.72[/C][C]377.66[/C][C]380.396[/C][C]380.7[/C][C]380.7[/C][C]378.724[/C][C]376.9[/C][C]377.204[/C][C]380.7[/C][/ROW]
[ROW][C]0.74[/C][C]380.9[/C][C]381.298[/C][C]381.2[/C][C]381.2[/C][C]381.03[/C][C]380.7[/C][C]381.802[/C][C]381.2[/C][/ROW]
[ROW][C]0.76[/C][C]381.62[/C][C]382.512[/C][C]381.9[/C][C]381.9[/C][C]381.788[/C][C]381.9[/C][C]382.988[/C][C]381.9[/C][/ROW]
[ROW][C]0.78[/C][C]383.26[/C][C]385.862[/C][C]383.6[/C][C]383.6[/C][C]383.678[/C][C]383.6[/C][C]385.238[/C][C]387.5[/C][/ROW]
[ROW][C]0.8[/C][C]387.5[/C][C]389.82[/C][C]387.5[/C][C]388.95[/C][C]388.08[/C][C]387.5[/C][C]388.08[/C][C]390.4[/C][/ROW]
[ROW][C]0.82[/C][C]390.54[/C][C]391.136[/C][C]391.1[/C][C]391.1[/C][C]390.666[/C][C]390.4[/C][C]392.864[/C][C]391.1[/C][/ROW]
[ROW][C]0.84[/C][C]391.82[/C][C]393.26[/C][C]392.9[/C][C]392.9[/C][C]392.108[/C][C]391.1[/C][C]394.04[/C][C]392.9[/C][/ROW]
[ROW][C]0.86[/C][C]393.8[/C][C]394.722[/C][C]394.4[/C][C]394.4[/C][C]394.01[/C][C]394.4[/C][C]394.778[/C][C]394.4[/C][/ROW]
[ROW][C]0.88[/C][C]394.96[/C][C]396.46[/C][C]395.1[/C][C]395.1[/C][C]395.044[/C][C]395.1[/C][C]395.74[/C][C]397.1[/C][/ROW]
[ROW][C]0.9[/C][C]397.1[/C][C]397.37[/C][C]397.1[/C][C]397.25[/C][C]397.13[/C][C]397.1[/C][C]397.13[/C][C]397.4[/C][/ROW]
[ROW][C]0.92[/C][C]397.94[/C][C]400.112[/C][C]400.1[/C][C]400.1[/C][C]398.156[/C][C]397.4[/C][C]400.188[/C][C]400.1[/C][/ROW]
[ROW][C]0.94[/C][C]400.14[/C][C]401.39[/C][C]400.2[/C][C]400.2[/C][C]400.146[/C][C]400.1[/C][C]402.51[/C][C]400.2[/C][/ROW]
[ROW][C]0.96[/C][C]402.3[/C][C]403.98[/C][C]403.7[/C][C]403.7[/C][C]402.44[/C][C]403.7[/C][C]403.92[/C][C]404.2[/C][/ROW]
[ROW][C]0.98[/C][C]404.1[/C][C]404.59[/C][C]404.2[/C][C]404.2[/C][C]404.11[/C][C]404.2[/C][C]404.31[/C][C]404.7[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49083&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49083&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)
0.02	289.8	289.8	289.8	289.8	289.89	289.8	289.8	289.8
0.04	290	290.02	290.3	290.3	290.624	289.8	290.08	289.8
0.06	290.84	290.894	291.2	291.2	291.524	291.2	290.606	291.2
0.08	291.68	291.728	291.8	291.8	292.304	291.8	291.272	291.8
0.1	292.5	292.54	292.5	292.7	292.86	292.5	292.86	292.5
0.12	293.82	294.372	297.5	297.5	298.068	292.9	296.028	292.9
0.14	300.34	301.334	304.6	304.6	304.626	297.5	300.766	304.6
0.16	304.66	304.676	304.7	304.7	305.932	304.7	304.624	304.7
0.18	306.94	307.444	307.5	307.5	309.484	307.5	304.756	307.5
0.2	310.7	310.7	310.7	310.7	310.7	310.7	310.7	310.7
0.22	311	311.33	312.2	312.2	312.17	310.7	311.57	310.7
0.24	312.44	312.584	312.8	312.8	313.04	312.2	312.416	312.8
0.26	313.7	314.09	314.3	314.3	314.436	314.3	313.01	314.3
0.28	314.62	314.78	314.7	314.7	315.22	314.7	315.62	314.7
0.3	315.7	316.9	315.7	317.7	318.5	315.7	318.5	315.7
0.32	319.74	319.804	319.9	319.9	319.876	319.7	319.796	319.9
0.34	322.7	325.08	326.9	326.9	327.056	319.9	321.72	326.9
0.36	328.46	329.396	329.5	329.5	329.548	329.5	327.004	329.5
0.38	329.66	330.78	329.7	329.7	332.22	329.7	334.62	329.7
0.4	335.7	336.3	335.7	336.45	336.6	335.7	336.6	335.7
0.42	337.42	337.882	338.3	338.3	338.058	337.2	337.618	338.3
0.44	338.3	338.3	338.3	338.3	338.3	338.3	338.3	338.3
0.46	338.72	339.012	339	339	339.028	339	339.188	339
0.48	339.16	339.34	339.2	339.2	339.36	339.2	339.56	339.2
0.5	339.7	340.95	339.7	340.95	340.95	339.7	340.95	340.95
0.52	342.26	342.416	342.5	342.5	342.404	342.2	342.284	342.5
0.54	343.86	345.696	345.9	345.9	345.424	342.5	342.704	345.9
0.56	349.26	351.708	351.5	351.5	351.552	351.5	352.592	351.5
0.58	352.54	355.688	352.8	352.8	354.472	352.8	357.512	352.8
0.6	360.4	366.04	360.4	365.1	364.16	360.4	364.16	369.8
0.62	370.14	371.194	371.5	371.5	370.786	369.8	370.106	371.5
0.64	371.7	372.088	372	372	371.88	371.5	374.112	372
0.66	373.32	374.382	374.2	374.2	374.068	374.2	374.718	374.2
0.68	374.76	375.572	374.9	374.9	375.068	374.9	375.628	374.9
0.7	376.3	376.72	376.3	376.6	376.48	376.3	376.48	376.9
0.72	377.66	380.396	380.7	380.7	378.724	376.9	377.204	380.7
0.74	380.9	381.298	381.2	381.2	381.03	380.7	381.802	381.2
0.76	381.62	382.512	381.9	381.9	381.788	381.9	382.988	381.9
0.78	383.26	385.862	383.6	383.6	383.678	383.6	385.238	387.5
0.8	387.5	389.82	387.5	388.95	388.08	387.5	388.08	390.4
0.82	390.54	391.136	391.1	391.1	390.666	390.4	392.864	391.1
0.84	391.82	393.26	392.9	392.9	392.108	391.1	394.04	392.9
0.86	393.8	394.722	394.4	394.4	394.01	394.4	394.778	394.4
0.88	394.96	396.46	395.1	395.1	395.044	395.1	395.74	397.1
0.9	397.1	397.37	397.1	397.25	397.13	397.1	397.13	397.4
0.92	397.94	400.112	400.1	400.1	398.156	397.4	400.188	400.1
0.94	400.14	401.39	400.2	400.2	400.146	400.1	402.51	400.2
0.96	402.3	403.98	403.7	403.7	402.44	403.7	403.92	404.2
0.98	404.1	404.59	404.2	404.2	404.11	404.2	404.31	404.7

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

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code