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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 15 Aug 2015 15:49:57 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Aug/15/t14396503012agvkig3gpuvw0k.htm/, Retrieved Wed, 15 May 2024 20:37:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=280095, Retrieved Wed, 15 May 2024 20:37:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact144

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrell-Davis dec...] [2015-08-15 14:49:57] [0d8529ada52922935dd1fcf0fb375c74] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280095&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280095&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280095&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0146863.16211120957935.74160907365
0.0253643.73988408765227.8283250754
0.0358159.38219942114550.20183666714
0.0461552.26877452935313.37944352298
0.0564710.10058311415823.73189447045
0.0667680.40877689885486.16424384662
0.0770249.71529592934646.71286255667
0.0872329.44230917033843.90787758715
0.0974005.57665954543384.65985022111
0.175444.18145768813327.45576566219
0.1176806.46894592013603.07708621305
0.1278210.32975270544089.86369970989
0.1379720.60553972814646.37921723571
0.1481351.52511396455138.90613892707
0.1583076.70258066225471.13213157658
0.1684845.47033701965603.43212675361
0.1786601.86790646015555.01500205985
0.1888300.8610604695387.68009996691
0.1989917.65463208915179.99584430937
0.291449.07801636845001.98838894887
0.2192908.89041990444899.35074220716
0.2294320.22604638944887.36850970328
0.2395708.1995682244957.66455492205
0.2497094.55579168115088.35560008483
0.2598494.92783134125253.5191724591
0.2699918.27784470185431.09517363183
0.27101367.6287333575603.10004073205
0.28102841.2090703735755.29283260845
0.29104333.4516490375875.81577343081
0.3105835.6969577565953.02774463752
0.31107336.7769950575977.0681904107
0.32108823.7862121525940.97707288028
0.33110283.2676884555843.2756993634
0.34111702.8161092735691.26807813078
0.35113072.8374451435500.37438631232
0.36114388.0282012885292.54196935874
0.37115648.1248307595091.80756883155
0.38116857.6352874124919.49440751443
0.39118024.5374142624788.03843110245
0.4119158.2118126894699.11743864275
0.41120267.0765810244642.31751985006
0.42121356.4567079344598.59191212921
0.43122427.1507486474544.49096439715
0.44123474.9853948014456.68116530402
0.45124491.4224245984317.92346673886
0.46125465.0514668414118.82976408154
0.47126383.6134207073860.61509864451
0.48127236.096207033554.17093415515
0.49128014.4556255043216.5599824582
0.5128714.6397591112868.36329285878
0.51129336.7992402972528.85843474338
0.52129884.7828545382213.83321358479
0.53130365.1789820131933.18326817402
0.54130786.2227414061691.53038120287
0.55131156.8422819091489.66762675905
0.56131486.0004668251325.74172383996
0.57131782.3547527141198.07082714052
0.58132054.1570491591104.24128505733
0.59132309.2711243721043.14962457858
0.6132555.1939892181013.56296740746
0.61132799.0077701171013.43762040235
0.62133047.2358782451039.63212314994
0.63133305.6180326521088.23473845763
0.64133578.8512748981153.2833036996
0.65133870.3707851651228.51743129008
0.66134182.2602669771307.69052862275
0.67134515.3716410091385.1626831863
0.68134869.6818052771457.26123448809
0.69135244.8216008821523.91890315221
0.7135640.6095891681587.40929094273
0.71136057.363422241651.30773830019
0.72136495.7909617611717.71843131504
0.73136956.390070631784.87389756337
0.74137438.4679059811846.72725640644
0.75137939.0550331611892.35304284734
0.76138452.0738406051909.28793632922
0.77138968.1006556231885.58686873642
0.78139474.9487179611813.33744058343
0.79139959.1167034311691.14453164899
0.8140407.9120404541525.72865285936
0.81140811.8031385881332.30850503942
0.82141166.3640488371131.67902883063
0.83141473.176155451946.222958283209
0.84141739.330849548794.87177641685
0.85141975.670303498687.61672919551
0.86142194.372386981624.338958152787
0.87142406.662312137596.027621509465
0.88142621.257161935589.890636087364
0.89142843.87075542593.580532686338
0.9143078.049315047598.814857264291
0.91143327.728526057604.771374404821
0.92143601.853478259622.929134355833
0.93143921.744434444678.217947576547
0.94144334.347561462811.083377331195
0.95144934.559600481102.37286006159
0.96145875.4652435111649.07192175568
0.97147296.7655499332289.01784209274
0.98149161.4428233112419.90207372271
0.99151166.7520230351970.5133936879

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 46863.1621112095 & 7935.74160907365 \tabularnewline
0.02 & 53643.7398840876 & 5227.8283250754 \tabularnewline
0.03 & 58159.3821994211 & 4550.20183666714 \tabularnewline
0.04 & 61552.2687745293 & 5313.37944352298 \tabularnewline
0.05 & 64710.1005831141 & 5823.73189447045 \tabularnewline
0.06 & 67680.4087768988 & 5486.16424384662 \tabularnewline
0.07 & 70249.7152959293 & 4646.71286255667 \tabularnewline
0.08 & 72329.4423091703 & 3843.90787758715 \tabularnewline
0.09 & 74005.5766595454 & 3384.65985022111 \tabularnewline
0.1 & 75444.1814576881 & 3327.45576566219 \tabularnewline
0.11 & 76806.4689459201 & 3603.07708621305 \tabularnewline
0.12 & 78210.3297527054 & 4089.86369970989 \tabularnewline
0.13 & 79720.6055397281 & 4646.37921723571 \tabularnewline
0.14 & 81351.5251139645 & 5138.90613892707 \tabularnewline
0.15 & 83076.7025806622 & 5471.13213157658 \tabularnewline
0.16 & 84845.4703370196 & 5603.43212675361 \tabularnewline
0.17 & 86601.8679064601 & 5555.01500205985 \tabularnewline
0.18 & 88300.861060469 & 5387.68009996691 \tabularnewline
0.19 & 89917.6546320891 & 5179.99584430937 \tabularnewline
0.2 & 91449.0780163684 & 5001.98838894887 \tabularnewline
0.21 & 92908.8904199044 & 4899.35074220716 \tabularnewline
0.22 & 94320.2260463894 & 4887.36850970328 \tabularnewline
0.23 & 95708.199568224 & 4957.66455492205 \tabularnewline
0.24 & 97094.5557916811 & 5088.35560008483 \tabularnewline
0.25 & 98494.9278313412 & 5253.5191724591 \tabularnewline
0.26 & 99918.2778447018 & 5431.09517363183 \tabularnewline
0.27 & 101367.628733357 & 5603.10004073205 \tabularnewline
0.28 & 102841.209070373 & 5755.29283260845 \tabularnewline
0.29 & 104333.451649037 & 5875.81577343081 \tabularnewline
0.3 & 105835.696957756 & 5953.02774463752 \tabularnewline
0.31 & 107336.776995057 & 5977.0681904107 \tabularnewline
0.32 & 108823.786212152 & 5940.97707288028 \tabularnewline
0.33 & 110283.267688455 & 5843.2756993634 \tabularnewline
0.34 & 111702.816109273 & 5691.26807813078 \tabularnewline
0.35 & 113072.837445143 & 5500.37438631232 \tabularnewline
0.36 & 114388.028201288 & 5292.54196935874 \tabularnewline
0.37 & 115648.124830759 & 5091.80756883155 \tabularnewline
0.38 & 116857.635287412 & 4919.49440751443 \tabularnewline
0.39 & 118024.537414262 & 4788.03843110245 \tabularnewline
0.4 & 119158.211812689 & 4699.11743864275 \tabularnewline
0.41 & 120267.076581024 & 4642.31751985006 \tabularnewline
0.42 & 121356.456707934 & 4598.59191212921 \tabularnewline
0.43 & 122427.150748647 & 4544.49096439715 \tabularnewline
0.44 & 123474.985394801 & 4456.68116530402 \tabularnewline
0.45 & 124491.422424598 & 4317.92346673886 \tabularnewline
0.46 & 125465.051466841 & 4118.82976408154 \tabularnewline
0.47 & 126383.613420707 & 3860.61509864451 \tabularnewline
0.48 & 127236.09620703 & 3554.17093415515 \tabularnewline
0.49 & 128014.455625504 & 3216.5599824582 \tabularnewline
0.5 & 128714.639759111 & 2868.36329285878 \tabularnewline
0.51 & 129336.799240297 & 2528.85843474338 \tabularnewline
0.52 & 129884.782854538 & 2213.83321358479 \tabularnewline
0.53 & 130365.178982013 & 1933.18326817402 \tabularnewline
0.54 & 130786.222741406 & 1691.53038120287 \tabularnewline
0.55 & 131156.842281909 & 1489.66762675905 \tabularnewline
0.56 & 131486.000466825 & 1325.74172383996 \tabularnewline
0.57 & 131782.354752714 & 1198.07082714052 \tabularnewline
0.58 & 132054.157049159 & 1104.24128505733 \tabularnewline
0.59 & 132309.271124372 & 1043.14962457858 \tabularnewline
0.6 & 132555.193989218 & 1013.56296740746 \tabularnewline
0.61 & 132799.007770117 & 1013.43762040235 \tabularnewline
0.62 & 133047.235878245 & 1039.63212314994 \tabularnewline
0.63 & 133305.618032652 & 1088.23473845763 \tabularnewline
0.64 & 133578.851274898 & 1153.2833036996 \tabularnewline
0.65 & 133870.370785165 & 1228.51743129008 \tabularnewline
0.66 & 134182.260266977 & 1307.69052862275 \tabularnewline
0.67 & 134515.371641009 & 1385.1626831863 \tabularnewline
0.68 & 134869.681805277 & 1457.26123448809 \tabularnewline
0.69 & 135244.821600882 & 1523.91890315221 \tabularnewline
0.7 & 135640.609589168 & 1587.40929094273 \tabularnewline
0.71 & 136057.36342224 & 1651.30773830019 \tabularnewline
0.72 & 136495.790961761 & 1717.71843131504 \tabularnewline
0.73 & 136956.39007063 & 1784.87389756337 \tabularnewline
0.74 & 137438.467905981 & 1846.72725640644 \tabularnewline
0.75 & 137939.055033161 & 1892.35304284734 \tabularnewline
0.76 & 138452.073840605 & 1909.28793632922 \tabularnewline
0.77 & 138968.100655623 & 1885.58686873642 \tabularnewline
0.78 & 139474.948717961 & 1813.33744058343 \tabularnewline
0.79 & 139959.116703431 & 1691.14453164899 \tabularnewline
0.8 & 140407.912040454 & 1525.72865285936 \tabularnewline
0.81 & 140811.803138588 & 1332.30850503942 \tabularnewline
0.82 & 141166.364048837 & 1131.67902883063 \tabularnewline
0.83 & 141473.176155451 & 946.222958283209 \tabularnewline
0.84 & 141739.330849548 & 794.87177641685 \tabularnewline
0.85 & 141975.670303498 & 687.61672919551 \tabularnewline
0.86 & 142194.372386981 & 624.338958152787 \tabularnewline
0.87 & 142406.662312137 & 596.027621509465 \tabularnewline
0.88 & 142621.257161935 & 589.890636087364 \tabularnewline
0.89 & 142843.87075542 & 593.580532686338 \tabularnewline
0.9 & 143078.049315047 & 598.814857264291 \tabularnewline
0.91 & 143327.728526057 & 604.771374404821 \tabularnewline
0.92 & 143601.853478259 & 622.929134355833 \tabularnewline
0.93 & 143921.744434444 & 678.217947576547 \tabularnewline
0.94 & 144334.347561462 & 811.083377331195 \tabularnewline
0.95 & 144934.55960048 & 1102.37286006159 \tabularnewline
0.96 & 145875.465243511 & 1649.07192175568 \tabularnewline
0.97 & 147296.765549933 & 2289.01784209274 \tabularnewline
0.98 & 149161.442823311 & 2419.90207372271 \tabularnewline
0.99 & 151166.752023035 & 1970.5133936879 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280095&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]46863.1621112095[/C][C]7935.74160907365[/C][/ROW]
[ROW][C]0.02[/C][C]53643.7398840876[/C][C]5227.8283250754[/C][/ROW]
[ROW][C]0.03[/C][C]58159.3821994211[/C][C]4550.20183666714[/C][/ROW]
[ROW][C]0.04[/C][C]61552.2687745293[/C][C]5313.37944352298[/C][/ROW]
[ROW][C]0.05[/C][C]64710.1005831141[/C][C]5823.73189447045[/C][/ROW]
[ROW][C]0.06[/C][C]67680.4087768988[/C][C]5486.16424384662[/C][/ROW]
[ROW][C]0.07[/C][C]70249.7152959293[/C][C]4646.71286255667[/C][/ROW]
[ROW][C]0.08[/C][C]72329.4423091703[/C][C]3843.90787758715[/C][/ROW]
[ROW][C]0.09[/C][C]74005.5766595454[/C][C]3384.65985022111[/C][/ROW]
[ROW][C]0.1[/C][C]75444.1814576881[/C][C]3327.45576566219[/C][/ROW]
[ROW][C]0.11[/C][C]76806.4689459201[/C][C]3603.07708621305[/C][/ROW]
[ROW][C]0.12[/C][C]78210.3297527054[/C][C]4089.86369970989[/C][/ROW]
[ROW][C]0.13[/C][C]79720.6055397281[/C][C]4646.37921723571[/C][/ROW]
[ROW][C]0.14[/C][C]81351.5251139645[/C][C]5138.90613892707[/C][/ROW]
[ROW][C]0.15[/C][C]83076.7025806622[/C][C]5471.13213157658[/C][/ROW]
[ROW][C]0.16[/C][C]84845.4703370196[/C][C]5603.43212675361[/C][/ROW]
[ROW][C]0.17[/C][C]86601.8679064601[/C][C]5555.01500205985[/C][/ROW]
[ROW][C]0.18[/C][C]88300.861060469[/C][C]5387.68009996691[/C][/ROW]
[ROW][C]0.19[/C][C]89917.6546320891[/C][C]5179.99584430937[/C][/ROW]
[ROW][C]0.2[/C][C]91449.0780163684[/C][C]5001.98838894887[/C][/ROW]
[ROW][C]0.21[/C][C]92908.8904199044[/C][C]4899.35074220716[/C][/ROW]
[ROW][C]0.22[/C][C]94320.2260463894[/C][C]4887.36850970328[/C][/ROW]
[ROW][C]0.23[/C][C]95708.199568224[/C][C]4957.66455492205[/C][/ROW]
[ROW][C]0.24[/C][C]97094.5557916811[/C][C]5088.35560008483[/C][/ROW]
[ROW][C]0.25[/C][C]98494.9278313412[/C][C]5253.5191724591[/C][/ROW]
[ROW][C]0.26[/C][C]99918.2778447018[/C][C]5431.09517363183[/C][/ROW]
[ROW][C]0.27[/C][C]101367.628733357[/C][C]5603.10004073205[/C][/ROW]
[ROW][C]0.28[/C][C]102841.209070373[/C][C]5755.29283260845[/C][/ROW]
[ROW][C]0.29[/C][C]104333.451649037[/C][C]5875.81577343081[/C][/ROW]
[ROW][C]0.3[/C][C]105835.696957756[/C][C]5953.02774463752[/C][/ROW]
[ROW][C]0.31[/C][C]107336.776995057[/C][C]5977.0681904107[/C][/ROW]
[ROW][C]0.32[/C][C]108823.786212152[/C][C]5940.97707288028[/C][/ROW]
[ROW][C]0.33[/C][C]110283.267688455[/C][C]5843.2756993634[/C][/ROW]
[ROW][C]0.34[/C][C]111702.816109273[/C][C]5691.26807813078[/C][/ROW]
[ROW][C]0.35[/C][C]113072.837445143[/C][C]5500.37438631232[/C][/ROW]
[ROW][C]0.36[/C][C]114388.028201288[/C][C]5292.54196935874[/C][/ROW]
[ROW][C]0.37[/C][C]115648.124830759[/C][C]5091.80756883155[/C][/ROW]
[ROW][C]0.38[/C][C]116857.635287412[/C][C]4919.49440751443[/C][/ROW]
[ROW][C]0.39[/C][C]118024.537414262[/C][C]4788.03843110245[/C][/ROW]
[ROW][C]0.4[/C][C]119158.211812689[/C][C]4699.11743864275[/C][/ROW]
[ROW][C]0.41[/C][C]120267.076581024[/C][C]4642.31751985006[/C][/ROW]
[ROW][C]0.42[/C][C]121356.456707934[/C][C]4598.59191212921[/C][/ROW]
[ROW][C]0.43[/C][C]122427.150748647[/C][C]4544.49096439715[/C][/ROW]
[ROW][C]0.44[/C][C]123474.985394801[/C][C]4456.68116530402[/C][/ROW]
[ROW][C]0.45[/C][C]124491.422424598[/C][C]4317.92346673886[/C][/ROW]
[ROW][C]0.46[/C][C]125465.051466841[/C][C]4118.82976408154[/C][/ROW]
[ROW][C]0.47[/C][C]126383.613420707[/C][C]3860.61509864451[/C][/ROW]
[ROW][C]0.48[/C][C]127236.09620703[/C][C]3554.17093415515[/C][/ROW]
[ROW][C]0.49[/C][C]128014.455625504[/C][C]3216.5599824582[/C][/ROW]
[ROW][C]0.5[/C][C]128714.639759111[/C][C]2868.36329285878[/C][/ROW]
[ROW][C]0.51[/C][C]129336.799240297[/C][C]2528.85843474338[/C][/ROW]
[ROW][C]0.52[/C][C]129884.782854538[/C][C]2213.83321358479[/C][/ROW]
[ROW][C]0.53[/C][C]130365.178982013[/C][C]1933.18326817402[/C][/ROW]
[ROW][C]0.54[/C][C]130786.222741406[/C][C]1691.53038120287[/C][/ROW]
[ROW][C]0.55[/C][C]131156.842281909[/C][C]1489.66762675905[/C][/ROW]
[ROW][C]0.56[/C][C]131486.000466825[/C][C]1325.74172383996[/C][/ROW]
[ROW][C]0.57[/C][C]131782.354752714[/C][C]1198.07082714052[/C][/ROW]
[ROW][C]0.58[/C][C]132054.157049159[/C][C]1104.24128505733[/C][/ROW]
[ROW][C]0.59[/C][C]132309.271124372[/C][C]1043.14962457858[/C][/ROW]
[ROW][C]0.6[/C][C]132555.193989218[/C][C]1013.56296740746[/C][/ROW]
[ROW][C]0.61[/C][C]132799.007770117[/C][C]1013.43762040235[/C][/ROW]
[ROW][C]0.62[/C][C]133047.235878245[/C][C]1039.63212314994[/C][/ROW]
[ROW][C]0.63[/C][C]133305.618032652[/C][C]1088.23473845763[/C][/ROW]
[ROW][C]0.64[/C][C]133578.851274898[/C][C]1153.2833036996[/C][/ROW]
[ROW][C]0.65[/C][C]133870.370785165[/C][C]1228.51743129008[/C][/ROW]
[ROW][C]0.66[/C][C]134182.260266977[/C][C]1307.69052862275[/C][/ROW]
[ROW][C]0.67[/C][C]134515.371641009[/C][C]1385.1626831863[/C][/ROW]
[ROW][C]0.68[/C][C]134869.681805277[/C][C]1457.26123448809[/C][/ROW]
[ROW][C]0.69[/C][C]135244.821600882[/C][C]1523.91890315221[/C][/ROW]
[ROW][C]0.7[/C][C]135640.609589168[/C][C]1587.40929094273[/C][/ROW]
[ROW][C]0.71[/C][C]136057.36342224[/C][C]1651.30773830019[/C][/ROW]
[ROW][C]0.72[/C][C]136495.790961761[/C][C]1717.71843131504[/C][/ROW]
[ROW][C]0.73[/C][C]136956.39007063[/C][C]1784.87389756337[/C][/ROW]
[ROW][C]0.74[/C][C]137438.467905981[/C][C]1846.72725640644[/C][/ROW]
[ROW][C]0.75[/C][C]137939.055033161[/C][C]1892.35304284734[/C][/ROW]
[ROW][C]0.76[/C][C]138452.073840605[/C][C]1909.28793632922[/C][/ROW]
[ROW][C]0.77[/C][C]138968.100655623[/C][C]1885.58686873642[/C][/ROW]
[ROW][C]0.78[/C][C]139474.948717961[/C][C]1813.33744058343[/C][/ROW]
[ROW][C]0.79[/C][C]139959.116703431[/C][C]1691.14453164899[/C][/ROW]
[ROW][C]0.8[/C][C]140407.912040454[/C][C]1525.72865285936[/C][/ROW]
[ROW][C]0.81[/C][C]140811.803138588[/C][C]1332.30850503942[/C][/ROW]
[ROW][C]0.82[/C][C]141166.364048837[/C][C]1131.67902883063[/C][/ROW]
[ROW][C]0.83[/C][C]141473.176155451[/C][C]946.222958283209[/C][/ROW]
[ROW][C]0.84[/C][C]141739.330849548[/C][C]794.87177641685[/C][/ROW]
[ROW][C]0.85[/C][C]141975.670303498[/C][C]687.61672919551[/C][/ROW]
[ROW][C]0.86[/C][C]142194.372386981[/C][C]624.338958152787[/C][/ROW]
[ROW][C]0.87[/C][C]142406.662312137[/C][C]596.027621509465[/C][/ROW]
[ROW][C]0.88[/C][C]142621.257161935[/C][C]589.890636087364[/C][/ROW]
[ROW][C]0.89[/C][C]142843.87075542[/C][C]593.580532686338[/C][/ROW]
[ROW][C]0.9[/C][C]143078.049315047[/C][C]598.814857264291[/C][/ROW]
[ROW][C]0.91[/C][C]143327.728526057[/C][C]604.771374404821[/C][/ROW]
[ROW][C]0.92[/C][C]143601.853478259[/C][C]622.929134355833[/C][/ROW]
[ROW][C]0.93[/C][C]143921.744434444[/C][C]678.217947576547[/C][/ROW]
[ROW][C]0.94[/C][C]144334.347561462[/C][C]811.083377331195[/C][/ROW]
[ROW][C]0.95[/C][C]144934.55960048[/C][C]1102.37286006159[/C][/ROW]
[ROW][C]0.96[/C][C]145875.465243511[/C][C]1649.07192175568[/C][/ROW]
[ROW][C]0.97[/C][C]147296.765549933[/C][C]2289.01784209274[/C][/ROW]
[ROW][C]0.98[/C][C]149161.442823311[/C][C]2419.90207372271[/C][/ROW]
[ROW][C]0.99[/C][C]151166.752023035[/C][C]1970.5133936879[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280095&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280095&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0146863.16211120957935.74160907365
0.0253643.73988408765227.8283250754
0.0358159.38219942114550.20183666714
0.0461552.26877452935313.37944352298
0.0564710.10058311415823.73189447045
0.0667680.40877689885486.16424384662
0.0770249.71529592934646.71286255667
0.0872329.44230917033843.90787758715
0.0974005.57665954543384.65985022111
0.175444.18145768813327.45576566219
0.1176806.46894592013603.07708621305
0.1278210.32975270544089.86369970989
0.1379720.60553972814646.37921723571
0.1481351.52511396455138.90613892707
0.1583076.70258066225471.13213157658
0.1684845.47033701965603.43212675361
0.1786601.86790646015555.01500205985
0.1888300.8610604695387.68009996691
0.1989917.65463208915179.99584430937
0.291449.07801636845001.98838894887
0.2192908.89041990444899.35074220716
0.2294320.22604638944887.36850970328
0.2395708.1995682244957.66455492205
0.2497094.55579168115088.35560008483
0.2598494.92783134125253.5191724591
0.2699918.27784470185431.09517363183
0.27101367.6287333575603.10004073205
0.28102841.2090703735755.29283260845
0.29104333.4516490375875.81577343081
0.3105835.6969577565953.02774463752
0.31107336.7769950575977.0681904107
0.32108823.7862121525940.97707288028
0.33110283.2676884555843.2756993634
0.34111702.8161092735691.26807813078
0.35113072.8374451435500.37438631232
0.36114388.0282012885292.54196935874
0.37115648.1248307595091.80756883155
0.38116857.6352874124919.49440751443
0.39118024.5374142624788.03843110245
0.4119158.2118126894699.11743864275
0.41120267.0765810244642.31751985006
0.42121356.4567079344598.59191212921
0.43122427.1507486474544.49096439715
0.44123474.9853948014456.68116530402
0.45124491.4224245984317.92346673886
0.46125465.0514668414118.82976408154
0.47126383.6134207073860.61509864451
0.48127236.096207033554.17093415515
0.49128014.4556255043216.5599824582
0.5128714.6397591112868.36329285878
0.51129336.7992402972528.85843474338
0.52129884.7828545382213.83321358479
0.53130365.1789820131933.18326817402
0.54130786.2227414061691.53038120287
0.55131156.8422819091489.66762675905
0.56131486.0004668251325.74172383996
0.57131782.3547527141198.07082714052
0.58132054.1570491591104.24128505733
0.59132309.2711243721043.14962457858
0.6132555.1939892181013.56296740746
0.61132799.0077701171013.43762040235
0.62133047.2358782451039.63212314994
0.63133305.6180326521088.23473845763
0.64133578.8512748981153.2833036996
0.65133870.3707851651228.51743129008
0.66134182.2602669771307.69052862275
0.67134515.3716410091385.1626831863
0.68134869.6818052771457.26123448809
0.69135244.8216008821523.91890315221
0.7135640.6095891681587.40929094273
0.71136057.363422241651.30773830019
0.72136495.7909617611717.71843131504
0.73136956.390070631784.87389756337
0.74137438.4679059811846.72725640644
0.75137939.0550331611892.35304284734
0.76138452.0738406051909.28793632922
0.77138968.1006556231885.58686873642
0.78139474.9487179611813.33744058343
0.79139959.1167034311691.14453164899
0.8140407.9120404541525.72865285936
0.81140811.8031385881332.30850503942
0.82141166.3640488371131.67902883063
0.83141473.176155451946.222958283209
0.84141739.330849548794.87177641685
0.85141975.670303498687.61672919551
0.86142194.372386981624.338958152787
0.87142406.662312137596.027621509465
0.88142621.257161935589.890636087364
0.89142843.87075542593.580532686338
0.9143078.049315047598.814857264291
0.91143327.728526057604.771374404821
0.92143601.853478259622.929134355833
0.93143921.744434444678.217947576547
0.94144334.347561462811.083377331195
0.95144934.559600481102.37286006159
0.96145875.4652435111649.07192175568
0.97147296.7655499332289.01784209274
0.98149161.4428233112419.90207372271
0.99151166.7520230351970.5133936879


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')