Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_percentiles.wasp
Title produced by softwarePercentiles
Date of computationFri, 23 Dec 2011 04:01:45 -0500
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/Dec/23/t1324630922iqrbozfp9i1ijdp.htm/, Retrieved Mon, 29 Apr 2024 19:29:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160208, Retrieved Mon, 29 Apr 2024 19:29:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact127
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Bad example of Hi...] [2010-09-25 09:28:23] [b98453cac15ba1066b407e146608df68]
- R P   [Histogram] [Workshop 1: Task 3] [2011-10-04 18:01:03] [f722e8e78b9e5c5ebaa2263f273aa636]
-         [Histogram] [Paper: Histogram] [2011-12-21 11:23:29] [f722e8e78b9e5c5ebaa2263f273aa636]
- RMPD      [Univariate Data Series] [Paper: Run Sequen...] [2011-12-21 23:42:11] [f722e8e78b9e5c5ebaa2263f273aa636]
- R           [Univariate Data Series] [Paper: Run Sequen...] [2011-12-21 23:57:05] [f722e8e78b9e5c5ebaa2263f273aa636]
- RMP           [Percentiles] [Paper: Q-Q plot] [2011-12-22 20:16:49] [f722e8e78b9e5c5ebaa2263f273aa636]
- R  D            [Percentiles] [Paper: Q-Q plot] [2011-12-22 20:18:50] [f722e8e78b9e5c5ebaa2263f273aa636]
-   PD                [Percentiles] [Paper: Q-Q plot G...] [2011-12-23 09:01:45] [3e64eea457df40fcb7af8f28e1ee6256] [Current]
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Dataseries X:
24300
24375
24375
24550
24725
24825
25100
24950
25325
25325
24800
24975
25125
25125
25125
25400
25175
24650
24775
24675
24825
24775
24675
24750
24875
25400
25400
24750
24900
24825
24875
24975
25375
25600
26000
25900
25850
26075
26275
26050
26000
25825
26075
26150
26275
26475
26500
26575
26425
26275
26375
25900
25850
25625
25900
26050
26150
26275
26100
25975
25975
26125
26175
26225
26225
26200
26275
26275
26275
26750
27075
27475
27525
27125
27000
26950
27075
27150
26875
26925
27150
27150
27425
27625
27475
28075
28075
28175
28350
28350
28500
29350
30225
29575
30125
30125
31150
31350
32175
31725
31600
30800
30800
29700
30875
31275
31500
31375
31400
31650
31975
31650
31975
32575
32025
33050
32300
32100
32250
32050
31975
32100
32025
32275
32100
32275
31975
32175
32375
32300
32450
32425
30800
30850
30750
30175
30350
30125
30625
30375
30425
30325
29825
29450
29100
29450
29550
29575
29425
29050
28525
28575
28500
28875
28625
28625
28925
28925
28950
28950
29100
29700
30000
30400
30375
30425
30625
30700
30825
30800
31100
31175
31025
30975
31025
31350
31075
31125
30900
31150
31575
31575
31375
31100
30975
31200
31125
31075
31275
31175
30950
30725
30900
30700
30625
30700
30650
30525
30850
30725
31025
30975
30550
30900
31000
31000
31000
31000
31325
31000
31000
30300
30575
30575
30775
30550
30750
31025
31000
30850
30600
31150
31800
32500
32325
31800
31850
31625
31750
31650
31525
32075
32725
32900
32775
32825
33200
34100
33800
33525
33775
34000
33425
33550
33400
33300
33400
33000
33500
33550
33725
33700
33600
33550
33500
34200
34000
33600




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160208&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160208&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160208&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'Gwilym Jenkins' @ jenkins.wessa.net







Percentiles - Ungrouped Data
pWeighted Average at XnpWeighted Average at X(n+1)pEmpirical Distribution FunctionEmpirical Distribution Function - AveragingEmpirical Distribution Function - InterpolationClosest ObservationTrue Basic - Statistics Graphics ToolkitMS Excel (old versions)
0.012437524375243752437524474.75243752437524375
0.022465424654.52467524675246752465024670.524650
0.032471224713.5247252472524742.752472524686.524725
0.042475824759247752477524775247502476624750
0.0524797.524798.75248002480024821.252480024776.2524800
0.062482524825248252482524846248252482524825
0.0724876.524878.25249002490024899.752487524896.7524875
0.082496624968249752497524975249752495724975
0.0925105.525107.752512525125251252510025117.2525100
0.12512525125251252512525160251252512525125
0.112532525325253252532525338.5253252532525325
0.122539925400254002540025400254002540025400
0.132550825534256002560025610.25256002546625600
0.142582825831.5258502585025849.52582525843.525825
0.152588525892.52590025900259002590025857.525900
0.162592125933259752597525975259002594225900
0.1725996.526000260002600026000260002600026000
0.182605026050260502605026056.5260502605026050
0.1926075.526080.25261002610026095.752607526094.7526075
0.22614026145261502615026150261502613026150
0.2126179.526184.75262002620026199.252617526190.2526175
0.222622526225262252622526252262252622526225
0.232627526275262752627526275262752627526275
0.242627526275262752627526275262752627526275
0.252632526350263752637526387.5263752630026375
0.262647726483.5265002650026495.52647526491.526475
0.2726690.526737.75267502675026798.752675026587.2526750
0.282693126938269502695026949269252693726950
0.2927061.527075270752707527075270752707527075
0.32713527142.52715027150271502712527132.527150
0.312715027229.75271502715027334.252715027345.2527150
0.322747527475274752747527487274752747527475
0.332768827836.5280752807527989.52762527863.527625
0.342814728185.5281752817528241.52817528339.528175
0.352839528447.5285002850028492.52835028402.528500
0.362852228537285252852528551285252856328525
0.372862528625286252862528647.5286252862528625
0.382892528925289252892528925289252892528925
0.392895028951289502895028973289502904928950
0.42910029100291002910029100291002910029100
0.4129408.529429.75294252942529434.252942529445.2529425
0.422948629528295502955029544294502947229550
0.432957529621.25295752957529638.752957529653.7529575
0.442976529820298252982529839298252970529825
0.453012530125301253012530125301253012530125
0.463015930182301753017530186301753021830175
0.4730306.530318.25303253032530319.753030030306.7530325
0.483037130375303753037530375303753037530375
0.4930410.530422.75304253042530423.253040030402.2530425
0.53052530537.53052530537.530537.53052530537.530537.5
0.5130564.530575305753057530575305753057530575
0.523060430617306253062530616306003060830625
0.533062530631.75306253062530630.253062530643.2530625
0.543070030700307003070030700307003070030700
0.5530722.530725307253072530725307253072530725
0.563075030751307503075030750307503077430750
0.573080030800308003080030800308003080030800
0.583080030805.5308003080030801.53080030819.530800
0.593085030850308503085030850308503085030850
0.63087030885308753087530880308753089030875
0.613090030900309003090030900309003090030900
0.623097430975309753097530975309753097530975
0.6330988.531000310003100030997.75310003100031000
0.643100031000310003100031000310003100031000
0.653100031000310003100031000310003100031000
0.663102531025310253102531025310253102531025
0.673102531051.5310253102531034.53102531048.531075
0.683108631100311003110031094310753110031100
0.693112531125311253112531125311253112531125
0.73115031150311503115031150311503115031150
0.713117531175311753117531175311753117531175
0.723125731275312753127531275312753127531275
0.7331333.531350313503135031340.25313253135031350
0.743137331375313753137531375313753137531375
0.753145031506.253150031500314753150031518.7531500
0.763157531575315753157531575315753157531575
0.7731616.531635.75316253162531622.253162531639.2531625
0.783165031651.53165031650316503165031723.531650
0.7931745.531780.5317503175031751.53175031769.531800
0.83182031875318503185031830318003195031850
0.813197531975319753197531975319753197531975
0.823200332025320253202532012320253202532025
0.8332053.532074.25320753207532057.753205032050.7532075
0.843210032100321003210032100321003210032100
0.853217532186.253217532175321753217532238.7532175
0.863227232275322753227532275322753227532275
0.873230032308.253230032300323003230032316.7532300
0.883237732421324253242532383323753237932425
0.893248132538.25325003250032486.53250032536.7532575
0.93273532780327753277532740327253282032775
0.9132883.532969329003290032890.25329003293133000
0.923310433228332003320033116330503327233200
0.933339433400334003340033400334003340033400
0.943346433500335003350033468.5335003350033500
0.9533527.533550335503355033528.75335253355033550
0.963355033582335503355033550335503356833600
0.973362633705.753370033700336293360033719.2533700
0.983376733795.53377533775337683377533779.533800
0.993400034041340003400034000340003405934000

\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 & 24375 & 24375 & 24375 & 24375 & 24474.75 & 24375 & 24375 & 24375 \tabularnewline
0.02 & 24654 & 24654.5 & 24675 & 24675 & 24675 & 24650 & 24670.5 & 24650 \tabularnewline
0.03 & 24712 & 24713.5 & 24725 & 24725 & 24742.75 & 24725 & 24686.5 & 24725 \tabularnewline
0.04 & 24758 & 24759 & 24775 & 24775 & 24775 & 24750 & 24766 & 24750 \tabularnewline
0.05 & 24797.5 & 24798.75 & 24800 & 24800 & 24821.25 & 24800 & 24776.25 & 24800 \tabularnewline
0.06 & 24825 & 24825 & 24825 & 24825 & 24846 & 24825 & 24825 & 24825 \tabularnewline
0.07 & 24876.5 & 24878.25 & 24900 & 24900 & 24899.75 & 24875 & 24896.75 & 24875 \tabularnewline
0.08 & 24966 & 24968 & 24975 & 24975 & 24975 & 24975 & 24957 & 24975 \tabularnewline
0.09 & 25105.5 & 25107.75 & 25125 & 25125 & 25125 & 25100 & 25117.25 & 25100 \tabularnewline
0.1 & 25125 & 25125 & 25125 & 25125 & 25160 & 25125 & 25125 & 25125 \tabularnewline
0.11 & 25325 & 25325 & 25325 & 25325 & 25338.5 & 25325 & 25325 & 25325 \tabularnewline
0.12 & 25399 & 25400 & 25400 & 25400 & 25400 & 25400 & 25400 & 25400 \tabularnewline
0.13 & 25508 & 25534 & 25600 & 25600 & 25610.25 & 25600 & 25466 & 25600 \tabularnewline
0.14 & 25828 & 25831.5 & 25850 & 25850 & 25849.5 & 25825 & 25843.5 & 25825 \tabularnewline
0.15 & 25885 & 25892.5 & 25900 & 25900 & 25900 & 25900 & 25857.5 & 25900 \tabularnewline
0.16 & 25921 & 25933 & 25975 & 25975 & 25975 & 25900 & 25942 & 25900 \tabularnewline
0.17 & 25996.5 & 26000 & 26000 & 26000 & 26000 & 26000 & 26000 & 26000 \tabularnewline
0.18 & 26050 & 26050 & 26050 & 26050 & 26056.5 & 26050 & 26050 & 26050 \tabularnewline
0.19 & 26075.5 & 26080.25 & 26100 & 26100 & 26095.75 & 26075 & 26094.75 & 26075 \tabularnewline
0.2 & 26140 & 26145 & 26150 & 26150 & 26150 & 26150 & 26130 & 26150 \tabularnewline
0.21 & 26179.5 & 26184.75 & 26200 & 26200 & 26199.25 & 26175 & 26190.25 & 26175 \tabularnewline
0.22 & 26225 & 26225 & 26225 & 26225 & 26252 & 26225 & 26225 & 26225 \tabularnewline
0.23 & 26275 & 26275 & 26275 & 26275 & 26275 & 26275 & 26275 & 26275 \tabularnewline
0.24 & 26275 & 26275 & 26275 & 26275 & 26275 & 26275 & 26275 & 26275 \tabularnewline
0.25 & 26325 & 26350 & 26375 & 26375 & 26387.5 & 26375 & 26300 & 26375 \tabularnewline
0.26 & 26477 & 26483.5 & 26500 & 26500 & 26495.5 & 26475 & 26491.5 & 26475 \tabularnewline
0.27 & 26690.5 & 26737.75 & 26750 & 26750 & 26798.75 & 26750 & 26587.25 & 26750 \tabularnewline
0.28 & 26931 & 26938 & 26950 & 26950 & 26949 & 26925 & 26937 & 26950 \tabularnewline
0.29 & 27061.5 & 27075 & 27075 & 27075 & 27075 & 27075 & 27075 & 27075 \tabularnewline
0.3 & 27135 & 27142.5 & 27150 & 27150 & 27150 & 27125 & 27132.5 & 27150 \tabularnewline
0.31 & 27150 & 27229.75 & 27150 & 27150 & 27334.25 & 27150 & 27345.25 & 27150 \tabularnewline
0.32 & 27475 & 27475 & 27475 & 27475 & 27487 & 27475 & 27475 & 27475 \tabularnewline
0.33 & 27688 & 27836.5 & 28075 & 28075 & 27989.5 & 27625 & 27863.5 & 27625 \tabularnewline
0.34 & 28147 & 28185.5 & 28175 & 28175 & 28241.5 & 28175 & 28339.5 & 28175 \tabularnewline
0.35 & 28395 & 28447.5 & 28500 & 28500 & 28492.5 & 28350 & 28402.5 & 28500 \tabularnewline
0.36 & 28522 & 28537 & 28525 & 28525 & 28551 & 28525 & 28563 & 28525 \tabularnewline
0.37 & 28625 & 28625 & 28625 & 28625 & 28647.5 & 28625 & 28625 & 28625 \tabularnewline
0.38 & 28925 & 28925 & 28925 & 28925 & 28925 & 28925 & 28925 & 28925 \tabularnewline
0.39 & 28950 & 28951 & 28950 & 28950 & 28973 & 28950 & 29049 & 28950 \tabularnewline
0.4 & 29100 & 29100 & 29100 & 29100 & 29100 & 29100 & 29100 & 29100 \tabularnewline
0.41 & 29408.5 & 29429.75 & 29425 & 29425 & 29434.25 & 29425 & 29445.25 & 29425 \tabularnewline
0.42 & 29486 & 29528 & 29550 & 29550 & 29544 & 29450 & 29472 & 29550 \tabularnewline
0.43 & 29575 & 29621.25 & 29575 & 29575 & 29638.75 & 29575 & 29653.75 & 29575 \tabularnewline
0.44 & 29765 & 29820 & 29825 & 29825 & 29839 & 29825 & 29705 & 29825 \tabularnewline
0.45 & 30125 & 30125 & 30125 & 30125 & 30125 & 30125 & 30125 & 30125 \tabularnewline
0.46 & 30159 & 30182 & 30175 & 30175 & 30186 & 30175 & 30218 & 30175 \tabularnewline
0.47 & 30306.5 & 30318.25 & 30325 & 30325 & 30319.75 & 30300 & 30306.75 & 30325 \tabularnewline
0.48 & 30371 & 30375 & 30375 & 30375 & 30375 & 30375 & 30375 & 30375 \tabularnewline
0.49 & 30410.5 & 30422.75 & 30425 & 30425 & 30423.25 & 30400 & 30402.25 & 30425 \tabularnewline
0.5 & 30525 & 30537.5 & 30525 & 30537.5 & 30537.5 & 30525 & 30537.5 & 30537.5 \tabularnewline
0.51 & 30564.5 & 30575 & 30575 & 30575 & 30575 & 30575 & 30575 & 30575 \tabularnewline
0.52 & 30604 & 30617 & 30625 & 30625 & 30616 & 30600 & 30608 & 30625 \tabularnewline
0.53 & 30625 & 30631.75 & 30625 & 30625 & 30630.25 & 30625 & 30643.25 & 30625 \tabularnewline
0.54 & 30700 & 30700 & 30700 & 30700 & 30700 & 30700 & 30700 & 30700 \tabularnewline
0.55 & 30722.5 & 30725 & 30725 & 30725 & 30725 & 30725 & 30725 & 30725 \tabularnewline
0.56 & 30750 & 30751 & 30750 & 30750 & 30750 & 30750 & 30774 & 30750 \tabularnewline
0.57 & 30800 & 30800 & 30800 & 30800 & 30800 & 30800 & 30800 & 30800 \tabularnewline
0.58 & 30800 & 30805.5 & 30800 & 30800 & 30801.5 & 30800 & 30819.5 & 30800 \tabularnewline
0.59 & 30850 & 30850 & 30850 & 30850 & 30850 & 30850 & 30850 & 30850 \tabularnewline
0.6 & 30870 & 30885 & 30875 & 30875 & 30880 & 30875 & 30890 & 30875 \tabularnewline
0.61 & 30900 & 30900 & 30900 & 30900 & 30900 & 30900 & 30900 & 30900 \tabularnewline
0.62 & 30974 & 30975 & 30975 & 30975 & 30975 & 30975 & 30975 & 30975 \tabularnewline
0.63 & 30988.5 & 31000 & 31000 & 31000 & 30997.75 & 31000 & 31000 & 31000 \tabularnewline
0.64 & 31000 & 31000 & 31000 & 31000 & 31000 & 31000 & 31000 & 31000 \tabularnewline
0.65 & 31000 & 31000 & 31000 & 31000 & 31000 & 31000 & 31000 & 31000 \tabularnewline
0.66 & 31025 & 31025 & 31025 & 31025 & 31025 & 31025 & 31025 & 31025 \tabularnewline
0.67 & 31025 & 31051.5 & 31025 & 31025 & 31034.5 & 31025 & 31048.5 & 31075 \tabularnewline
0.68 & 31086 & 31100 & 31100 & 31100 & 31094 & 31075 & 31100 & 31100 \tabularnewline
0.69 & 31125 & 31125 & 31125 & 31125 & 31125 & 31125 & 31125 & 31125 \tabularnewline
0.7 & 31150 & 31150 & 31150 & 31150 & 31150 & 31150 & 31150 & 31150 \tabularnewline
0.71 & 31175 & 31175 & 31175 & 31175 & 31175 & 31175 & 31175 & 31175 \tabularnewline
0.72 & 31257 & 31275 & 31275 & 31275 & 31275 & 31275 & 31275 & 31275 \tabularnewline
0.73 & 31333.5 & 31350 & 31350 & 31350 & 31340.25 & 31325 & 31350 & 31350 \tabularnewline
0.74 & 31373 & 31375 & 31375 & 31375 & 31375 & 31375 & 31375 & 31375 \tabularnewline
0.75 & 31450 & 31506.25 & 31500 & 31500 & 31475 & 31500 & 31518.75 & 31500 \tabularnewline
0.76 & 31575 & 31575 & 31575 & 31575 & 31575 & 31575 & 31575 & 31575 \tabularnewline
0.77 & 31616.5 & 31635.75 & 31625 & 31625 & 31622.25 & 31625 & 31639.25 & 31625 \tabularnewline
0.78 & 31650 & 31651.5 & 31650 & 31650 & 31650 & 31650 & 31723.5 & 31650 \tabularnewline
0.79 & 31745.5 & 31780.5 & 31750 & 31750 & 31751.5 & 31750 & 31769.5 & 31800 \tabularnewline
0.8 & 31820 & 31875 & 31850 & 31850 & 31830 & 31800 & 31950 & 31850 \tabularnewline
0.81 & 31975 & 31975 & 31975 & 31975 & 31975 & 31975 & 31975 & 31975 \tabularnewline
0.82 & 32003 & 32025 & 32025 & 32025 & 32012 & 32025 & 32025 & 32025 \tabularnewline
0.83 & 32053.5 & 32074.25 & 32075 & 32075 & 32057.75 & 32050 & 32050.75 & 32075 \tabularnewline
0.84 & 32100 & 32100 & 32100 & 32100 & 32100 & 32100 & 32100 & 32100 \tabularnewline
0.85 & 32175 & 32186.25 & 32175 & 32175 & 32175 & 32175 & 32238.75 & 32175 \tabularnewline
0.86 & 32272 & 32275 & 32275 & 32275 & 32275 & 32275 & 32275 & 32275 \tabularnewline
0.87 & 32300 & 32308.25 & 32300 & 32300 & 32300 & 32300 & 32316.75 & 32300 \tabularnewline
0.88 & 32377 & 32421 & 32425 & 32425 & 32383 & 32375 & 32379 & 32425 \tabularnewline
0.89 & 32481 & 32538.25 & 32500 & 32500 & 32486.5 & 32500 & 32536.75 & 32575 \tabularnewline
0.9 & 32735 & 32780 & 32775 & 32775 & 32740 & 32725 & 32820 & 32775 \tabularnewline
0.91 & 32883.5 & 32969 & 32900 & 32900 & 32890.25 & 32900 & 32931 & 33000 \tabularnewline
0.92 & 33104 & 33228 & 33200 & 33200 & 33116 & 33050 & 33272 & 33200 \tabularnewline
0.93 & 33394 & 33400 & 33400 & 33400 & 33400 & 33400 & 33400 & 33400 \tabularnewline
0.94 & 33464 & 33500 & 33500 & 33500 & 33468.5 & 33500 & 33500 & 33500 \tabularnewline
0.95 & 33527.5 & 33550 & 33550 & 33550 & 33528.75 & 33525 & 33550 & 33550 \tabularnewline
0.96 & 33550 & 33582 & 33550 & 33550 & 33550 & 33550 & 33568 & 33600 \tabularnewline
0.97 & 33626 & 33705.75 & 33700 & 33700 & 33629 & 33600 & 33719.25 & 33700 \tabularnewline
0.98 & 33767 & 33795.5 & 33775 & 33775 & 33768 & 33775 & 33779.5 & 33800 \tabularnewline
0.99 & 34000 & 34041 & 34000 & 34000 & 34000 & 34000 & 34059 & 34000 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160208&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]24375[/C][C]24375[/C][C]24375[/C][C]24375[/C][C]24474.75[/C][C]24375[/C][C]24375[/C][C]24375[/C][/ROW]
[ROW][C]0.02[/C][C]24654[/C][C]24654.5[/C][C]24675[/C][C]24675[/C][C]24675[/C][C]24650[/C][C]24670.5[/C][C]24650[/C][/ROW]
[ROW][C]0.03[/C][C]24712[/C][C]24713.5[/C][C]24725[/C][C]24725[/C][C]24742.75[/C][C]24725[/C][C]24686.5[/C][C]24725[/C][/ROW]
[ROW][C]0.04[/C][C]24758[/C][C]24759[/C][C]24775[/C][C]24775[/C][C]24775[/C][C]24750[/C][C]24766[/C][C]24750[/C][/ROW]
[ROW][C]0.05[/C][C]24797.5[/C][C]24798.75[/C][C]24800[/C][C]24800[/C][C]24821.25[/C][C]24800[/C][C]24776.25[/C][C]24800[/C][/ROW]
[ROW][C]0.06[/C][C]24825[/C][C]24825[/C][C]24825[/C][C]24825[/C][C]24846[/C][C]24825[/C][C]24825[/C][C]24825[/C][/ROW]
[ROW][C]0.07[/C][C]24876.5[/C][C]24878.25[/C][C]24900[/C][C]24900[/C][C]24899.75[/C][C]24875[/C][C]24896.75[/C][C]24875[/C][/ROW]
[ROW][C]0.08[/C][C]24966[/C][C]24968[/C][C]24975[/C][C]24975[/C][C]24975[/C][C]24975[/C][C]24957[/C][C]24975[/C][/ROW]
[ROW][C]0.09[/C][C]25105.5[/C][C]25107.75[/C][C]25125[/C][C]25125[/C][C]25125[/C][C]25100[/C][C]25117.25[/C][C]25100[/C][/ROW]
[ROW][C]0.1[/C][C]25125[/C][C]25125[/C][C]25125[/C][C]25125[/C][C]25160[/C][C]25125[/C][C]25125[/C][C]25125[/C][/ROW]
[ROW][C]0.11[/C][C]25325[/C][C]25325[/C][C]25325[/C][C]25325[/C][C]25338.5[/C][C]25325[/C][C]25325[/C][C]25325[/C][/ROW]
[ROW][C]0.12[/C][C]25399[/C][C]25400[/C][C]25400[/C][C]25400[/C][C]25400[/C][C]25400[/C][C]25400[/C][C]25400[/C][/ROW]
[ROW][C]0.13[/C][C]25508[/C][C]25534[/C][C]25600[/C][C]25600[/C][C]25610.25[/C][C]25600[/C][C]25466[/C][C]25600[/C][/ROW]
[ROW][C]0.14[/C][C]25828[/C][C]25831.5[/C][C]25850[/C][C]25850[/C][C]25849.5[/C][C]25825[/C][C]25843.5[/C][C]25825[/C][/ROW]
[ROW][C]0.15[/C][C]25885[/C][C]25892.5[/C][C]25900[/C][C]25900[/C][C]25900[/C][C]25900[/C][C]25857.5[/C][C]25900[/C][/ROW]
[ROW][C]0.16[/C][C]25921[/C][C]25933[/C][C]25975[/C][C]25975[/C][C]25975[/C][C]25900[/C][C]25942[/C][C]25900[/C][/ROW]
[ROW][C]0.17[/C][C]25996.5[/C][C]26000[/C][C]26000[/C][C]26000[/C][C]26000[/C][C]26000[/C][C]26000[/C][C]26000[/C][/ROW]
[ROW][C]0.18[/C][C]26050[/C][C]26050[/C][C]26050[/C][C]26050[/C][C]26056.5[/C][C]26050[/C][C]26050[/C][C]26050[/C][/ROW]
[ROW][C]0.19[/C][C]26075.5[/C][C]26080.25[/C][C]26100[/C][C]26100[/C][C]26095.75[/C][C]26075[/C][C]26094.75[/C][C]26075[/C][/ROW]
[ROW][C]0.2[/C][C]26140[/C][C]26145[/C][C]26150[/C][C]26150[/C][C]26150[/C][C]26150[/C][C]26130[/C][C]26150[/C][/ROW]
[ROW][C]0.21[/C][C]26179.5[/C][C]26184.75[/C][C]26200[/C][C]26200[/C][C]26199.25[/C][C]26175[/C][C]26190.25[/C][C]26175[/C][/ROW]
[ROW][C]0.22[/C][C]26225[/C][C]26225[/C][C]26225[/C][C]26225[/C][C]26252[/C][C]26225[/C][C]26225[/C][C]26225[/C][/ROW]
[ROW][C]0.23[/C][C]26275[/C][C]26275[/C][C]26275[/C][C]26275[/C][C]26275[/C][C]26275[/C][C]26275[/C][C]26275[/C][/ROW]
[ROW][C]0.24[/C][C]26275[/C][C]26275[/C][C]26275[/C][C]26275[/C][C]26275[/C][C]26275[/C][C]26275[/C][C]26275[/C][/ROW]
[ROW][C]0.25[/C][C]26325[/C][C]26350[/C][C]26375[/C][C]26375[/C][C]26387.5[/C][C]26375[/C][C]26300[/C][C]26375[/C][/ROW]
[ROW][C]0.26[/C][C]26477[/C][C]26483.5[/C][C]26500[/C][C]26500[/C][C]26495.5[/C][C]26475[/C][C]26491.5[/C][C]26475[/C][/ROW]
[ROW][C]0.27[/C][C]26690.5[/C][C]26737.75[/C][C]26750[/C][C]26750[/C][C]26798.75[/C][C]26750[/C][C]26587.25[/C][C]26750[/C][/ROW]
[ROW][C]0.28[/C][C]26931[/C][C]26938[/C][C]26950[/C][C]26950[/C][C]26949[/C][C]26925[/C][C]26937[/C][C]26950[/C][/ROW]
[ROW][C]0.29[/C][C]27061.5[/C][C]27075[/C][C]27075[/C][C]27075[/C][C]27075[/C][C]27075[/C][C]27075[/C][C]27075[/C][/ROW]
[ROW][C]0.3[/C][C]27135[/C][C]27142.5[/C][C]27150[/C][C]27150[/C][C]27150[/C][C]27125[/C][C]27132.5[/C][C]27150[/C][/ROW]
[ROW][C]0.31[/C][C]27150[/C][C]27229.75[/C][C]27150[/C][C]27150[/C][C]27334.25[/C][C]27150[/C][C]27345.25[/C][C]27150[/C][/ROW]
[ROW][C]0.32[/C][C]27475[/C][C]27475[/C][C]27475[/C][C]27475[/C][C]27487[/C][C]27475[/C][C]27475[/C][C]27475[/C][/ROW]
[ROW][C]0.33[/C][C]27688[/C][C]27836.5[/C][C]28075[/C][C]28075[/C][C]27989.5[/C][C]27625[/C][C]27863.5[/C][C]27625[/C][/ROW]
[ROW][C]0.34[/C][C]28147[/C][C]28185.5[/C][C]28175[/C][C]28175[/C][C]28241.5[/C][C]28175[/C][C]28339.5[/C][C]28175[/C][/ROW]
[ROW][C]0.35[/C][C]28395[/C][C]28447.5[/C][C]28500[/C][C]28500[/C][C]28492.5[/C][C]28350[/C][C]28402.5[/C][C]28500[/C][/ROW]
[ROW][C]0.36[/C][C]28522[/C][C]28537[/C][C]28525[/C][C]28525[/C][C]28551[/C][C]28525[/C][C]28563[/C][C]28525[/C][/ROW]
[ROW][C]0.37[/C][C]28625[/C][C]28625[/C][C]28625[/C][C]28625[/C][C]28647.5[/C][C]28625[/C][C]28625[/C][C]28625[/C][/ROW]
[ROW][C]0.38[/C][C]28925[/C][C]28925[/C][C]28925[/C][C]28925[/C][C]28925[/C][C]28925[/C][C]28925[/C][C]28925[/C][/ROW]
[ROW][C]0.39[/C][C]28950[/C][C]28951[/C][C]28950[/C][C]28950[/C][C]28973[/C][C]28950[/C][C]29049[/C][C]28950[/C][/ROW]
[ROW][C]0.4[/C][C]29100[/C][C]29100[/C][C]29100[/C][C]29100[/C][C]29100[/C][C]29100[/C][C]29100[/C][C]29100[/C][/ROW]
[ROW][C]0.41[/C][C]29408.5[/C][C]29429.75[/C][C]29425[/C][C]29425[/C][C]29434.25[/C][C]29425[/C][C]29445.25[/C][C]29425[/C][/ROW]
[ROW][C]0.42[/C][C]29486[/C][C]29528[/C][C]29550[/C][C]29550[/C][C]29544[/C][C]29450[/C][C]29472[/C][C]29550[/C][/ROW]
[ROW][C]0.43[/C][C]29575[/C][C]29621.25[/C][C]29575[/C][C]29575[/C][C]29638.75[/C][C]29575[/C][C]29653.75[/C][C]29575[/C][/ROW]
[ROW][C]0.44[/C][C]29765[/C][C]29820[/C][C]29825[/C][C]29825[/C][C]29839[/C][C]29825[/C][C]29705[/C][C]29825[/C][/ROW]
[ROW][C]0.45[/C][C]30125[/C][C]30125[/C][C]30125[/C][C]30125[/C][C]30125[/C][C]30125[/C][C]30125[/C][C]30125[/C][/ROW]
[ROW][C]0.46[/C][C]30159[/C][C]30182[/C][C]30175[/C][C]30175[/C][C]30186[/C][C]30175[/C][C]30218[/C][C]30175[/C][/ROW]
[ROW][C]0.47[/C][C]30306.5[/C][C]30318.25[/C][C]30325[/C][C]30325[/C][C]30319.75[/C][C]30300[/C][C]30306.75[/C][C]30325[/C][/ROW]
[ROW][C]0.48[/C][C]30371[/C][C]30375[/C][C]30375[/C][C]30375[/C][C]30375[/C][C]30375[/C][C]30375[/C][C]30375[/C][/ROW]
[ROW][C]0.49[/C][C]30410.5[/C][C]30422.75[/C][C]30425[/C][C]30425[/C][C]30423.25[/C][C]30400[/C][C]30402.25[/C][C]30425[/C][/ROW]
[ROW][C]0.5[/C][C]30525[/C][C]30537.5[/C][C]30525[/C][C]30537.5[/C][C]30537.5[/C][C]30525[/C][C]30537.5[/C][C]30537.5[/C][/ROW]
[ROW][C]0.51[/C][C]30564.5[/C][C]30575[/C][C]30575[/C][C]30575[/C][C]30575[/C][C]30575[/C][C]30575[/C][C]30575[/C][/ROW]
[ROW][C]0.52[/C][C]30604[/C][C]30617[/C][C]30625[/C][C]30625[/C][C]30616[/C][C]30600[/C][C]30608[/C][C]30625[/C][/ROW]
[ROW][C]0.53[/C][C]30625[/C][C]30631.75[/C][C]30625[/C][C]30625[/C][C]30630.25[/C][C]30625[/C][C]30643.25[/C][C]30625[/C][/ROW]
[ROW][C]0.54[/C][C]30700[/C][C]30700[/C][C]30700[/C][C]30700[/C][C]30700[/C][C]30700[/C][C]30700[/C][C]30700[/C][/ROW]
[ROW][C]0.55[/C][C]30722.5[/C][C]30725[/C][C]30725[/C][C]30725[/C][C]30725[/C][C]30725[/C][C]30725[/C][C]30725[/C][/ROW]
[ROW][C]0.56[/C][C]30750[/C][C]30751[/C][C]30750[/C][C]30750[/C][C]30750[/C][C]30750[/C][C]30774[/C][C]30750[/C][/ROW]
[ROW][C]0.57[/C][C]30800[/C][C]30800[/C][C]30800[/C][C]30800[/C][C]30800[/C][C]30800[/C][C]30800[/C][C]30800[/C][/ROW]
[ROW][C]0.58[/C][C]30800[/C][C]30805.5[/C][C]30800[/C][C]30800[/C][C]30801.5[/C][C]30800[/C][C]30819.5[/C][C]30800[/C][/ROW]
[ROW][C]0.59[/C][C]30850[/C][C]30850[/C][C]30850[/C][C]30850[/C][C]30850[/C][C]30850[/C][C]30850[/C][C]30850[/C][/ROW]
[ROW][C]0.6[/C][C]30870[/C][C]30885[/C][C]30875[/C][C]30875[/C][C]30880[/C][C]30875[/C][C]30890[/C][C]30875[/C][/ROW]
[ROW][C]0.61[/C][C]30900[/C][C]30900[/C][C]30900[/C][C]30900[/C][C]30900[/C][C]30900[/C][C]30900[/C][C]30900[/C][/ROW]
[ROW][C]0.62[/C][C]30974[/C][C]30975[/C][C]30975[/C][C]30975[/C][C]30975[/C][C]30975[/C][C]30975[/C][C]30975[/C][/ROW]
[ROW][C]0.63[/C][C]30988.5[/C][C]31000[/C][C]31000[/C][C]31000[/C][C]30997.75[/C][C]31000[/C][C]31000[/C][C]31000[/C][/ROW]
[ROW][C]0.64[/C][C]31000[/C][C]31000[/C][C]31000[/C][C]31000[/C][C]31000[/C][C]31000[/C][C]31000[/C][C]31000[/C][/ROW]
[ROW][C]0.65[/C][C]31000[/C][C]31000[/C][C]31000[/C][C]31000[/C][C]31000[/C][C]31000[/C][C]31000[/C][C]31000[/C][/ROW]
[ROW][C]0.66[/C][C]31025[/C][C]31025[/C][C]31025[/C][C]31025[/C][C]31025[/C][C]31025[/C][C]31025[/C][C]31025[/C][/ROW]
[ROW][C]0.67[/C][C]31025[/C][C]31051.5[/C][C]31025[/C][C]31025[/C][C]31034.5[/C][C]31025[/C][C]31048.5[/C][C]31075[/C][/ROW]
[ROW][C]0.68[/C][C]31086[/C][C]31100[/C][C]31100[/C][C]31100[/C][C]31094[/C][C]31075[/C][C]31100[/C][C]31100[/C][/ROW]
[ROW][C]0.69[/C][C]31125[/C][C]31125[/C][C]31125[/C][C]31125[/C][C]31125[/C][C]31125[/C][C]31125[/C][C]31125[/C][/ROW]
[ROW][C]0.7[/C][C]31150[/C][C]31150[/C][C]31150[/C][C]31150[/C][C]31150[/C][C]31150[/C][C]31150[/C][C]31150[/C][/ROW]
[ROW][C]0.71[/C][C]31175[/C][C]31175[/C][C]31175[/C][C]31175[/C][C]31175[/C][C]31175[/C][C]31175[/C][C]31175[/C][/ROW]
[ROW][C]0.72[/C][C]31257[/C][C]31275[/C][C]31275[/C][C]31275[/C][C]31275[/C][C]31275[/C][C]31275[/C][C]31275[/C][/ROW]
[ROW][C]0.73[/C][C]31333.5[/C][C]31350[/C][C]31350[/C][C]31350[/C][C]31340.25[/C][C]31325[/C][C]31350[/C][C]31350[/C][/ROW]
[ROW][C]0.74[/C][C]31373[/C][C]31375[/C][C]31375[/C][C]31375[/C][C]31375[/C][C]31375[/C][C]31375[/C][C]31375[/C][/ROW]
[ROW][C]0.75[/C][C]31450[/C][C]31506.25[/C][C]31500[/C][C]31500[/C][C]31475[/C][C]31500[/C][C]31518.75[/C][C]31500[/C][/ROW]
[ROW][C]0.76[/C][C]31575[/C][C]31575[/C][C]31575[/C][C]31575[/C][C]31575[/C][C]31575[/C][C]31575[/C][C]31575[/C][/ROW]
[ROW][C]0.77[/C][C]31616.5[/C][C]31635.75[/C][C]31625[/C][C]31625[/C][C]31622.25[/C][C]31625[/C][C]31639.25[/C][C]31625[/C][/ROW]
[ROW][C]0.78[/C][C]31650[/C][C]31651.5[/C][C]31650[/C][C]31650[/C][C]31650[/C][C]31650[/C][C]31723.5[/C][C]31650[/C][/ROW]
[ROW][C]0.79[/C][C]31745.5[/C][C]31780.5[/C][C]31750[/C][C]31750[/C][C]31751.5[/C][C]31750[/C][C]31769.5[/C][C]31800[/C][/ROW]
[ROW][C]0.8[/C][C]31820[/C][C]31875[/C][C]31850[/C][C]31850[/C][C]31830[/C][C]31800[/C][C]31950[/C][C]31850[/C][/ROW]
[ROW][C]0.81[/C][C]31975[/C][C]31975[/C][C]31975[/C][C]31975[/C][C]31975[/C][C]31975[/C][C]31975[/C][C]31975[/C][/ROW]
[ROW][C]0.82[/C][C]32003[/C][C]32025[/C][C]32025[/C][C]32025[/C][C]32012[/C][C]32025[/C][C]32025[/C][C]32025[/C][/ROW]
[ROW][C]0.83[/C][C]32053.5[/C][C]32074.25[/C][C]32075[/C][C]32075[/C][C]32057.75[/C][C]32050[/C][C]32050.75[/C][C]32075[/C][/ROW]
[ROW][C]0.84[/C][C]32100[/C][C]32100[/C][C]32100[/C][C]32100[/C][C]32100[/C][C]32100[/C][C]32100[/C][C]32100[/C][/ROW]
[ROW][C]0.85[/C][C]32175[/C][C]32186.25[/C][C]32175[/C][C]32175[/C][C]32175[/C][C]32175[/C][C]32238.75[/C][C]32175[/C][/ROW]
[ROW][C]0.86[/C][C]32272[/C][C]32275[/C][C]32275[/C][C]32275[/C][C]32275[/C][C]32275[/C][C]32275[/C][C]32275[/C][/ROW]
[ROW][C]0.87[/C][C]32300[/C][C]32308.25[/C][C]32300[/C][C]32300[/C][C]32300[/C][C]32300[/C][C]32316.75[/C][C]32300[/C][/ROW]
[ROW][C]0.88[/C][C]32377[/C][C]32421[/C][C]32425[/C][C]32425[/C][C]32383[/C][C]32375[/C][C]32379[/C][C]32425[/C][/ROW]
[ROW][C]0.89[/C][C]32481[/C][C]32538.25[/C][C]32500[/C][C]32500[/C][C]32486.5[/C][C]32500[/C][C]32536.75[/C][C]32575[/C][/ROW]
[ROW][C]0.9[/C][C]32735[/C][C]32780[/C][C]32775[/C][C]32775[/C][C]32740[/C][C]32725[/C][C]32820[/C][C]32775[/C][/ROW]
[ROW][C]0.91[/C][C]32883.5[/C][C]32969[/C][C]32900[/C][C]32900[/C][C]32890.25[/C][C]32900[/C][C]32931[/C][C]33000[/C][/ROW]
[ROW][C]0.92[/C][C]33104[/C][C]33228[/C][C]33200[/C][C]33200[/C][C]33116[/C][C]33050[/C][C]33272[/C][C]33200[/C][/ROW]
[ROW][C]0.93[/C][C]33394[/C][C]33400[/C][C]33400[/C][C]33400[/C][C]33400[/C][C]33400[/C][C]33400[/C][C]33400[/C][/ROW]
[ROW][C]0.94[/C][C]33464[/C][C]33500[/C][C]33500[/C][C]33500[/C][C]33468.5[/C][C]33500[/C][C]33500[/C][C]33500[/C][/ROW]
[ROW][C]0.95[/C][C]33527.5[/C][C]33550[/C][C]33550[/C][C]33550[/C][C]33528.75[/C][C]33525[/C][C]33550[/C][C]33550[/C][/ROW]
[ROW][C]0.96[/C][C]33550[/C][C]33582[/C][C]33550[/C][C]33550[/C][C]33550[/C][C]33550[/C][C]33568[/C][C]33600[/C][/ROW]
[ROW][C]0.97[/C][C]33626[/C][C]33705.75[/C][C]33700[/C][C]33700[/C][C]33629[/C][C]33600[/C][C]33719.25[/C][C]33700[/C][/ROW]
[ROW][C]0.98[/C][C]33767[/C][C]33795.5[/C][C]33775[/C][C]33775[/C][C]33768[/C][C]33775[/C][C]33779.5[/C][C]33800[/C][/ROW]
[ROW][C]0.99[/C][C]34000[/C][C]34041[/C][C]34000[/C][C]34000[/C][C]34000[/C][C]34000[/C][C]34059[/C][C]34000[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160208&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160208&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
pWeighted Average at XnpWeighted Average at X(n+1)pEmpirical Distribution FunctionEmpirical Distribution Function - AveragingEmpirical Distribution Function - InterpolationClosest ObservationTrue Basic - Statistics Graphics ToolkitMS Excel (old versions)
0.012437524375243752437524474.75243752437524375
0.022465424654.52467524675246752465024670.524650
0.032471224713.5247252472524742.752472524686.524725
0.042475824759247752477524775247502476624750
0.0524797.524798.75248002480024821.252480024776.2524800
0.062482524825248252482524846248252482524825
0.0724876.524878.25249002490024899.752487524896.7524875
0.082496624968249752497524975249752495724975
0.0925105.525107.752512525125251252510025117.2525100
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0.2126179.526184.75262002620026199.252617526190.2526175
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Parameters (Session):
par1 = Valutakoersen Eur-Dollar ; par4 = 12 ;
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')