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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 computationWed, 21 Oct 2009 10:28:37 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/21/t1256142884vh570w7ocy4eyj3.htm/, Retrieved Thu, 02 May 2024 02:02:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49493, Retrieved Thu, 02 May 2024 02:02:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact75

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] [] [2009-10-21 16:28:37] [de75deb0d97eb201e24b3cab8d377751] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
104.0
99.0
105.4
107.1
110.7
117.1
118.7
126.5
127.5
134.6
131.8
135.9
142.7
141.7
153.4
145.0
137.7
148.3
152.2
169.4
168.6
161.1
174.1
179.0
190.6
190.0
181.6
174.8
180.5
196.8
193.8
197.0
216.3
221.4
217.9
229.7
227.4
204.2
196.6
198.8
207.5
190.7
201.6
210.5
223.5
223.8
231.2
244.0
234.7
250.2
265.7
287.6
283.3
295.4
312.3
333.8
347.7
383.2
407.1
413.6
362.7
321.9
239.4
191.0
159.7
163.4
157.6
166.2
176.7
198.3
226.2
216.2
235.9

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'Gwilym Jenkins' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49493&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49493&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49493&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01100.4761622357294.14729447992828
0.02102.6176071293793.50049648490503
0.03104.8332595078913.71890350497487
0.04107.0254674354914.67063566160504
0.05109.3182827949375.85485736758271
0.06111.7999874127746.92874996459778
0.07114.4597613753047.72735752359161
0.08117.2233216678838.20921678241738
0.09120.0002082482728.40623611040688
0.1122.7132032052418.38388683358927
0.11125.3099798554048.21784995109426
0.12127.7640295060237.98188355329109
0.13130.0706531519137.74064452186386
0.14132.2412844669377.54489195192082
0.15134.2976608068877.42715701881244
0.16136.2665142346737.40092369334326
0.17138.1751332944577.46299213343246
0.18140.0480038600067.59706246416002
0.19141.9046146796677.78028500319442
0.2143.7583877328207.98576839588381
0.21145.6165886098658.18900377004286
0.22147.4810037624558.36928845479985
0.23149.3491384954528.51238487705472
0.24151.2156839085818.61098107902929
0.25153.0740170826508.6646968038133
0.26154.9175352545558.67889490402853
0.27156.7406803876698.66281012371556
0.28158.5395800087198.6274186502139
0.29160.312302406428.58372100103709
0.3162.0587851985068.54120114158398
0.31163.7805337246978.5061040440453
0.32165.4801941255968.48287795767682
0.33167.1610884038718.47293354533806
0.34168.8267657585918.47706013884367
0.35170.4805901032258.49289131621564
0.36172.1253605828488.5177631724614
0.37173.7629571694158.54643052076944
0.38175.3940164874788.57168832418893
0.39177.0176664027798.58524904524016
0.4178.6313701383798.57619402957807
0.41180.2309405949028.53475514406625
0.42181.8107762302938.45183975231426
0.43183.3643410042018.32228771123085
0.44184.8848688021658.14573674178983
0.45186.3662279915447.92758035963356
0.46187.8038455314817.67917172028214
0.47189.1955706659287.41686880607703
0.48190.5423589172547.16158082254744
0.49191.8486759556826.93621266186038
0.5193.1225525899286.7628496809903
0.51194.3752603581946.66161786007341
0.52195.6206170128626.64662522945518
0.53196.8739697218436.72580353588661
0.54198.1509396730346.89644299867744
0.55199.4660435297407.14710741508975
0.56200.8313319350527.45747393932572
0.57202.2551982607277.80149092648688
0.58203.7415065600128.14851556179128
0.59205.2891621913648.46850144705182
0.6206.8922016399158.73385238151919
0.61208.5404147720318.92228986953174
0.62210.2204432634649.01989180348498
0.63211.9172364032769.02225216309069
0.64213.6157028192678.93366897726634
0.65215.3023831939238.76818956809304
0.66216.9669879551538.54712421147906
0.67218.6036914983368.29713429056886
0.68220.2121407799718.04865740820302
0.69221.7982067198887.83432008187912
0.7223.3745649222957.68718048957187
0.71224.9612203677467.64212458168462
0.72226.5860730235677.73430754520979
0.73228.2855466830068.0007851881901
0.74230.1051712331738.48030892846207
0.75232.0998369781389.21162054425642
0.76234.33327277307010.2266862884308
0.77236.87620923956611.5457997951301
0.78239.80276087639513.1653037158798
0.79243.18486632295115.0492771004436
0.8247.08517008147317.1236200563353
0.81251.54940812555419.2784448951447
0.82256.59994993498821.3774208674707
0.83262.23236036572123.2796606341246
0.84268.41644755258924.8636615173557
0.85275.10224904503426.0526316682562
0.86282.23008573274926.8281014763066
0.87289.74273913754827.2277351139312
0.88297.59752393422127.3301901456576
0.89305.77669813760927.2323081216576
0.9314.2958096850727.0326714529224
0.91323.21012808711526.8269504499590
0.92332.61777099852226.7042864871474
0.93342.65300687127926.7297802215917
0.94353.45403959153526.8896456685257
0.95365.08033621880126.9746656611591
0.96377.35937234794426.400641525958
0.97389.68476412058524.0983538429687
0.98400.87589462128518.9691661760214
0.99409.30996340735411.6232909783428

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 100.476162235729 & 4.14729447992828 \tabularnewline
0.02 & 102.617607129379 & 3.50049648490503 \tabularnewline
0.03 & 104.833259507891 & 3.71890350497487 \tabularnewline
0.04 & 107.025467435491 & 4.67063566160504 \tabularnewline
0.05 & 109.318282794937 & 5.85485736758271 \tabularnewline
0.06 & 111.799987412774 & 6.92874996459778 \tabularnewline
0.07 & 114.459761375304 & 7.72735752359161 \tabularnewline
0.08 & 117.223321667883 & 8.20921678241738 \tabularnewline
0.09 & 120.000208248272 & 8.40623611040688 \tabularnewline
0.1 & 122.713203205241 & 8.38388683358927 \tabularnewline
0.11 & 125.309979855404 & 8.21784995109426 \tabularnewline
0.12 & 127.764029506023 & 7.98188355329109 \tabularnewline
0.13 & 130.070653151913 & 7.74064452186386 \tabularnewline
0.14 & 132.241284466937 & 7.54489195192082 \tabularnewline
0.15 & 134.297660806887 & 7.42715701881244 \tabularnewline
0.16 & 136.266514234673 & 7.40092369334326 \tabularnewline
0.17 & 138.175133294457 & 7.46299213343246 \tabularnewline
0.18 & 140.048003860006 & 7.59706246416002 \tabularnewline
0.19 & 141.904614679667 & 7.78028500319442 \tabularnewline
0.2 & 143.758387732820 & 7.98576839588381 \tabularnewline
0.21 & 145.616588609865 & 8.18900377004286 \tabularnewline
0.22 & 147.481003762455 & 8.36928845479985 \tabularnewline
0.23 & 149.349138495452 & 8.51238487705472 \tabularnewline
0.24 & 151.215683908581 & 8.61098107902929 \tabularnewline
0.25 & 153.074017082650 & 8.6646968038133 \tabularnewline
0.26 & 154.917535254555 & 8.67889490402853 \tabularnewline
0.27 & 156.740680387669 & 8.66281012371556 \tabularnewline
0.28 & 158.539580008719 & 8.6274186502139 \tabularnewline
0.29 & 160.31230240642 & 8.58372100103709 \tabularnewline
0.3 & 162.058785198506 & 8.54120114158398 \tabularnewline
0.31 & 163.780533724697 & 8.5061040440453 \tabularnewline
0.32 & 165.480194125596 & 8.48287795767682 \tabularnewline
0.33 & 167.161088403871 & 8.47293354533806 \tabularnewline
0.34 & 168.826765758591 & 8.47706013884367 \tabularnewline
0.35 & 170.480590103225 & 8.49289131621564 \tabularnewline
0.36 & 172.125360582848 & 8.5177631724614 \tabularnewline
0.37 & 173.762957169415 & 8.54643052076944 \tabularnewline
0.38 & 175.394016487478 & 8.57168832418893 \tabularnewline
0.39 & 177.017666402779 & 8.58524904524016 \tabularnewline
0.4 & 178.631370138379 & 8.57619402957807 \tabularnewline
0.41 & 180.230940594902 & 8.53475514406625 \tabularnewline
0.42 & 181.810776230293 & 8.45183975231426 \tabularnewline
0.43 & 183.364341004201 & 8.32228771123085 \tabularnewline
0.44 & 184.884868802165 & 8.14573674178983 \tabularnewline
0.45 & 186.366227991544 & 7.92758035963356 \tabularnewline
0.46 & 187.803845531481 & 7.67917172028214 \tabularnewline
0.47 & 189.195570665928 & 7.41686880607703 \tabularnewline
0.48 & 190.542358917254 & 7.16158082254744 \tabularnewline
0.49 & 191.848675955682 & 6.93621266186038 \tabularnewline
0.5 & 193.122552589928 & 6.7628496809903 \tabularnewline
0.51 & 194.375260358194 & 6.66161786007341 \tabularnewline
0.52 & 195.620617012862 & 6.64662522945518 \tabularnewline
0.53 & 196.873969721843 & 6.72580353588661 \tabularnewline
0.54 & 198.150939673034 & 6.89644299867744 \tabularnewline
0.55 & 199.466043529740 & 7.14710741508975 \tabularnewline
0.56 & 200.831331935052 & 7.45747393932572 \tabularnewline
0.57 & 202.255198260727 & 7.80149092648688 \tabularnewline
0.58 & 203.741506560012 & 8.14851556179128 \tabularnewline
0.59 & 205.289162191364 & 8.46850144705182 \tabularnewline
0.6 & 206.892201639915 & 8.73385238151919 \tabularnewline
0.61 & 208.540414772031 & 8.92228986953174 \tabularnewline
0.62 & 210.220443263464 & 9.01989180348498 \tabularnewline
0.63 & 211.917236403276 & 9.02225216309069 \tabularnewline
0.64 & 213.615702819267 & 8.93366897726634 \tabularnewline
0.65 & 215.302383193923 & 8.76818956809304 \tabularnewline
0.66 & 216.966987955153 & 8.54712421147906 \tabularnewline
0.67 & 218.603691498336 & 8.29713429056886 \tabularnewline
0.68 & 220.212140779971 & 8.04865740820302 \tabularnewline
0.69 & 221.798206719888 & 7.83432008187912 \tabularnewline
0.7 & 223.374564922295 & 7.68718048957187 \tabularnewline
0.71 & 224.961220367746 & 7.64212458168462 \tabularnewline
0.72 & 226.586073023567 & 7.73430754520979 \tabularnewline
0.73 & 228.285546683006 & 8.0007851881901 \tabularnewline
0.74 & 230.105171233173 & 8.48030892846207 \tabularnewline
0.75 & 232.099836978138 & 9.21162054425642 \tabularnewline
0.76 & 234.333272773070 & 10.2266862884308 \tabularnewline
0.77 & 236.876209239566 & 11.5457997951301 \tabularnewline
0.78 & 239.802760876395 & 13.1653037158798 \tabularnewline
0.79 & 243.184866322951 & 15.0492771004436 \tabularnewline
0.8 & 247.085170081473 & 17.1236200563353 \tabularnewline
0.81 & 251.549408125554 & 19.2784448951447 \tabularnewline
0.82 & 256.599949934988 & 21.3774208674707 \tabularnewline
0.83 & 262.232360365721 & 23.2796606341246 \tabularnewline
0.84 & 268.416447552589 & 24.8636615173557 \tabularnewline
0.85 & 275.102249045034 & 26.0526316682562 \tabularnewline
0.86 & 282.230085732749 & 26.8281014763066 \tabularnewline
0.87 & 289.742739137548 & 27.2277351139312 \tabularnewline
0.88 & 297.597523934221 & 27.3301901456576 \tabularnewline
0.89 & 305.776698137609 & 27.2323081216576 \tabularnewline
0.9 & 314.29580968507 & 27.0326714529224 \tabularnewline
0.91 & 323.210128087115 & 26.8269504499590 \tabularnewline
0.92 & 332.617770998522 & 26.7042864871474 \tabularnewline
0.93 & 342.653006871279 & 26.7297802215917 \tabularnewline
0.94 & 353.454039591535 & 26.8896456685257 \tabularnewline
0.95 & 365.080336218801 & 26.9746656611591 \tabularnewline
0.96 & 377.359372347944 & 26.400641525958 \tabularnewline
0.97 & 389.684764120585 & 24.0983538429687 \tabularnewline
0.98 & 400.875894621285 & 18.9691661760214 \tabularnewline
0.99 & 409.309963407354 & 11.6232909783428 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49493&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]100.476162235729[/C][C]4.14729447992828[/C][/ROW]
[ROW][C]0.02[/C][C]102.617607129379[/C][C]3.50049648490503[/C][/ROW]
[ROW][C]0.03[/C][C]104.833259507891[/C][C]3.71890350497487[/C][/ROW]
[ROW][C]0.04[/C][C]107.025467435491[/C][C]4.67063566160504[/C][/ROW]
[ROW][C]0.05[/C][C]109.318282794937[/C][C]5.85485736758271[/C][/ROW]
[ROW][C]0.06[/C][C]111.799987412774[/C][C]6.92874996459778[/C][/ROW]
[ROW][C]0.07[/C][C]114.459761375304[/C][C]7.72735752359161[/C][/ROW]
[ROW][C]0.08[/C][C]117.223321667883[/C][C]8.20921678241738[/C][/ROW]
[ROW][C]0.09[/C][C]120.000208248272[/C][C]8.40623611040688[/C][/ROW]
[ROW][C]0.1[/C][C]122.713203205241[/C][C]8.38388683358927[/C][/ROW]
[ROW][C]0.11[/C][C]125.309979855404[/C][C]8.21784995109426[/C][/ROW]
[ROW][C]0.12[/C][C]127.764029506023[/C][C]7.98188355329109[/C][/ROW]
[ROW][C]0.13[/C][C]130.070653151913[/C][C]7.74064452186386[/C][/ROW]
[ROW][C]0.14[/C][C]132.241284466937[/C][C]7.54489195192082[/C][/ROW]
[ROW][C]0.15[/C][C]134.297660806887[/C][C]7.42715701881244[/C][/ROW]
[ROW][C]0.16[/C][C]136.266514234673[/C][C]7.40092369334326[/C][/ROW]
[ROW][C]0.17[/C][C]138.175133294457[/C][C]7.46299213343246[/C][/ROW]
[ROW][C]0.18[/C][C]140.048003860006[/C][C]7.59706246416002[/C][/ROW]
[ROW][C]0.19[/C][C]141.904614679667[/C][C]7.78028500319442[/C][/ROW]
[ROW][C]0.2[/C][C]143.758387732820[/C][C]7.98576839588381[/C][/ROW]
[ROW][C]0.21[/C][C]145.616588609865[/C][C]8.18900377004286[/C][/ROW]
[ROW][C]0.22[/C][C]147.481003762455[/C][C]8.36928845479985[/C][/ROW]
[ROW][C]0.23[/C][C]149.349138495452[/C][C]8.51238487705472[/C][/ROW]
[ROW][C]0.24[/C][C]151.215683908581[/C][C]8.61098107902929[/C][/ROW]
[ROW][C]0.25[/C][C]153.074017082650[/C][C]8.6646968038133[/C][/ROW]
[ROW][C]0.26[/C][C]154.917535254555[/C][C]8.67889490402853[/C][/ROW]
[ROW][C]0.27[/C][C]156.740680387669[/C][C]8.66281012371556[/C][/ROW]
[ROW][C]0.28[/C][C]158.539580008719[/C][C]8.6274186502139[/C][/ROW]
[ROW][C]0.29[/C][C]160.31230240642[/C][C]8.58372100103709[/C][/ROW]
[ROW][C]0.3[/C][C]162.058785198506[/C][C]8.54120114158398[/C][/ROW]
[ROW][C]0.31[/C][C]163.780533724697[/C][C]8.5061040440453[/C][/ROW]
[ROW][C]0.32[/C][C]165.480194125596[/C][C]8.48287795767682[/C][/ROW]
[ROW][C]0.33[/C][C]167.161088403871[/C][C]8.47293354533806[/C][/ROW]
[ROW][C]0.34[/C][C]168.826765758591[/C][C]8.47706013884367[/C][/ROW]
[ROW][C]0.35[/C][C]170.480590103225[/C][C]8.49289131621564[/C][/ROW]
[ROW][C]0.36[/C][C]172.125360582848[/C][C]8.5177631724614[/C][/ROW]
[ROW][C]0.37[/C][C]173.762957169415[/C][C]8.54643052076944[/C][/ROW]
[ROW][C]0.38[/C][C]175.394016487478[/C][C]8.57168832418893[/C][/ROW]
[ROW][C]0.39[/C][C]177.017666402779[/C][C]8.58524904524016[/C][/ROW]
[ROW][C]0.4[/C][C]178.631370138379[/C][C]8.57619402957807[/C][/ROW]
[ROW][C]0.41[/C][C]180.230940594902[/C][C]8.53475514406625[/C][/ROW]
[ROW][C]0.42[/C][C]181.810776230293[/C][C]8.45183975231426[/C][/ROW]
[ROW][C]0.43[/C][C]183.364341004201[/C][C]8.32228771123085[/C][/ROW]
[ROW][C]0.44[/C][C]184.884868802165[/C][C]8.14573674178983[/C][/ROW]
[ROW][C]0.45[/C][C]186.366227991544[/C][C]7.92758035963356[/C][/ROW]
[ROW][C]0.46[/C][C]187.803845531481[/C][C]7.67917172028214[/C][/ROW]
[ROW][C]0.47[/C][C]189.195570665928[/C][C]7.41686880607703[/C][/ROW]
[ROW][C]0.48[/C][C]190.542358917254[/C][C]7.16158082254744[/C][/ROW]
[ROW][C]0.49[/C][C]191.848675955682[/C][C]6.93621266186038[/C][/ROW]
[ROW][C]0.5[/C][C]193.122552589928[/C][C]6.7628496809903[/C][/ROW]
[ROW][C]0.51[/C][C]194.375260358194[/C][C]6.66161786007341[/C][/ROW]
[ROW][C]0.52[/C][C]195.620617012862[/C][C]6.64662522945518[/C][/ROW]
[ROW][C]0.53[/C][C]196.873969721843[/C][C]6.72580353588661[/C][/ROW]
[ROW][C]0.54[/C][C]198.150939673034[/C][C]6.89644299867744[/C][/ROW]
[ROW][C]0.55[/C][C]199.466043529740[/C][C]7.14710741508975[/C][/ROW]
[ROW][C]0.56[/C][C]200.831331935052[/C][C]7.45747393932572[/C][/ROW]
[ROW][C]0.57[/C][C]202.255198260727[/C][C]7.80149092648688[/C][/ROW]
[ROW][C]0.58[/C][C]203.741506560012[/C][C]8.14851556179128[/C][/ROW]
[ROW][C]0.59[/C][C]205.289162191364[/C][C]8.46850144705182[/C][/ROW]
[ROW][C]0.6[/C][C]206.892201639915[/C][C]8.73385238151919[/C][/ROW]
[ROW][C]0.61[/C][C]208.540414772031[/C][C]8.92228986953174[/C][/ROW]
[ROW][C]0.62[/C][C]210.220443263464[/C][C]9.01989180348498[/C][/ROW]
[ROW][C]0.63[/C][C]211.917236403276[/C][C]9.02225216309069[/C][/ROW]
[ROW][C]0.64[/C][C]213.615702819267[/C][C]8.93366897726634[/C][/ROW]
[ROW][C]0.65[/C][C]215.302383193923[/C][C]8.76818956809304[/C][/ROW]
[ROW][C]0.66[/C][C]216.966987955153[/C][C]8.54712421147906[/C][/ROW]
[ROW][C]0.67[/C][C]218.603691498336[/C][C]8.29713429056886[/C][/ROW]
[ROW][C]0.68[/C][C]220.212140779971[/C][C]8.04865740820302[/C][/ROW]
[ROW][C]0.69[/C][C]221.798206719888[/C][C]7.83432008187912[/C][/ROW]
[ROW][C]0.7[/C][C]223.374564922295[/C][C]7.68718048957187[/C][/ROW]
[ROW][C]0.71[/C][C]224.961220367746[/C][C]7.64212458168462[/C][/ROW]
[ROW][C]0.72[/C][C]226.586073023567[/C][C]7.73430754520979[/C][/ROW]
[ROW][C]0.73[/C][C]228.285546683006[/C][C]8.0007851881901[/C][/ROW]
[ROW][C]0.74[/C][C]230.105171233173[/C][C]8.48030892846207[/C][/ROW]
[ROW][C]0.75[/C][C]232.099836978138[/C][C]9.21162054425642[/C][/ROW]
[ROW][C]0.76[/C][C]234.333272773070[/C][C]10.2266862884308[/C][/ROW]
[ROW][C]0.77[/C][C]236.876209239566[/C][C]11.5457997951301[/C][/ROW]
[ROW][C]0.78[/C][C]239.802760876395[/C][C]13.1653037158798[/C][/ROW]
[ROW][C]0.79[/C][C]243.184866322951[/C][C]15.0492771004436[/C][/ROW]
[ROW][C]0.8[/C][C]247.085170081473[/C][C]17.1236200563353[/C][/ROW]
[ROW][C]0.81[/C][C]251.549408125554[/C][C]19.2784448951447[/C][/ROW]
[ROW][C]0.82[/C][C]256.599949934988[/C][C]21.3774208674707[/C][/ROW]
[ROW][C]0.83[/C][C]262.232360365721[/C][C]23.2796606341246[/C][/ROW]
[ROW][C]0.84[/C][C]268.416447552589[/C][C]24.8636615173557[/C][/ROW]
[ROW][C]0.85[/C][C]275.102249045034[/C][C]26.0526316682562[/C][/ROW]
[ROW][C]0.86[/C][C]282.230085732749[/C][C]26.8281014763066[/C][/ROW]
[ROW][C]0.87[/C][C]289.742739137548[/C][C]27.2277351139312[/C][/ROW]
[ROW][C]0.88[/C][C]297.597523934221[/C][C]27.3301901456576[/C][/ROW]
[ROW][C]0.89[/C][C]305.776698137609[/C][C]27.2323081216576[/C][/ROW]
[ROW][C]0.9[/C][C]314.29580968507[/C][C]27.0326714529224[/C][/ROW]
[ROW][C]0.91[/C][C]323.210128087115[/C][C]26.8269504499590[/C][/ROW]
[ROW][C]0.92[/C][C]332.617770998522[/C][C]26.7042864871474[/C][/ROW]
[ROW][C]0.93[/C][C]342.653006871279[/C][C]26.7297802215917[/C][/ROW]
[ROW][C]0.94[/C][C]353.454039591535[/C][C]26.8896456685257[/C][/ROW]
[ROW][C]0.95[/C][C]365.080336218801[/C][C]26.9746656611591[/C][/ROW]
[ROW][C]0.96[/C][C]377.359372347944[/C][C]26.400641525958[/C][/ROW]
[ROW][C]0.97[/C][C]389.684764120585[/C][C]24.0983538429687[/C][/ROW]
[ROW][C]0.98[/C][C]400.875894621285[/C][C]18.9691661760214[/C][/ROW]
[ROW][C]0.99[/C][C]409.309963407354[/C][C]11.6232909783428[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49493&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49493&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
0.01100.4761622357294.14729447992828
0.02102.6176071293793.50049648490503
0.03104.8332595078913.71890350497487
0.04107.0254674354914.67063566160504
0.05109.3182827949375.85485736758271
0.06111.7999874127746.92874996459778
0.07114.4597613753047.72735752359161
0.08117.2233216678838.20921678241738
0.09120.0002082482728.40623611040688
0.1122.7132032052418.38388683358927
0.11125.3099798554048.21784995109426
0.12127.7640295060237.98188355329109
0.13130.0706531519137.74064452186386
0.14132.2412844669377.54489195192082
0.15134.2976608068877.42715701881244
0.16136.2665142346737.40092369334326
0.17138.1751332944577.46299213343246
0.18140.0480038600067.59706246416002
0.19141.9046146796677.78028500319442
0.2143.7583877328207.98576839588381
0.21145.6165886098658.18900377004286
0.22147.4810037624558.36928845479985
0.23149.3491384954528.51238487705472
0.24151.2156839085818.61098107902929
0.25153.0740170826508.6646968038133
0.26154.9175352545558.67889490402853
0.27156.7406803876698.66281012371556
0.28158.5395800087198.6274186502139
0.29160.312302406428.58372100103709
0.3162.0587851985068.54120114158398
0.31163.7805337246978.5061040440453
0.32165.4801941255968.48287795767682
0.33167.1610884038718.47293354533806
0.34168.8267657585918.47706013884367
0.35170.4805901032258.49289131621564
0.36172.1253605828488.5177631724614
0.37173.7629571694158.54643052076944
0.38175.3940164874788.57168832418893
0.39177.0176664027798.58524904524016
0.4178.6313701383798.57619402957807
0.41180.2309405949028.53475514406625
0.42181.8107762302938.45183975231426
0.43183.3643410042018.32228771123085
0.44184.8848688021658.14573674178983
0.45186.3662279915447.92758035963356
0.46187.8038455314817.67917172028214
0.47189.1955706659287.41686880607703
0.48190.5423589172547.16158082254744
0.49191.8486759556826.93621266186038
0.5193.1225525899286.7628496809903
0.51194.3752603581946.66161786007341
0.52195.6206170128626.64662522945518
0.53196.8739697218436.72580353588661
0.54198.1509396730346.89644299867744
0.55199.4660435297407.14710741508975
0.56200.8313319350527.45747393932572
0.57202.2551982607277.80149092648688
0.58203.7415065600128.14851556179128
0.59205.2891621913648.46850144705182
0.6206.8922016399158.73385238151919
0.61208.5404147720318.92228986953174
0.62210.2204432634649.01989180348498
0.63211.9172364032769.02225216309069
0.64213.6157028192678.93366897726634
0.65215.3023831939238.76818956809304
0.66216.9669879551538.54712421147906
0.67218.6036914983368.29713429056886
0.68220.2121407799718.04865740820302
0.69221.7982067198887.83432008187912
0.7223.3745649222957.68718048957187
0.71224.9612203677467.64212458168462
0.72226.5860730235677.73430754520979
0.73228.2855466830068.0007851881901
0.74230.1051712331738.48030892846207
0.75232.0998369781389.21162054425642
0.76234.33327277307010.2266862884308
0.77236.87620923956611.5457997951301
0.78239.80276087639513.1653037158798
0.79243.18486632295115.0492771004436
0.8247.08517008147317.1236200563353
0.81251.54940812555419.2784448951447
0.82256.59994993498821.3774208674707
0.83262.23236036572123.2796606341246
0.84268.41644755258924.8636615173557
0.85275.10224904503426.0526316682562
0.86282.23008573274926.8281014763066
0.87289.74273913754827.2277351139312
0.88297.59752393422127.3301901456576
0.89305.77669813760927.2323081216576
0.9314.2958096850727.0326714529224
0.91323.21012808711526.8269504499590
0.92332.61777099852226.7042864871474
0.93342.65300687127926.7297802215917
0.94353.45403959153526.8896456685257
0.95365.08033621880126.9746656611591
0.96377.35937234794426.400641525958
0.97389.68476412058524.0983538429687
0.98400.87589462128518.9691661760214
0.99409.30996340735411.6232909783428


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')