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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 computationThu, 01 Jul 2010 11:45:42 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Jul/01/t12779851599o8s6daa16fhbct.htm/, Retrieved Sat, 04 May 2024 03:39:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=77882, Retrieved Sat, 04 May 2024 03:39:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsThomas Talboom
Estimated Impact207

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] [percentielen] [2010-07-01 11:45:42] [58d9ccda37eeb031a0ffa1e9ea016ece] [Current]
- RMP     [Central Tendency] [centrummaten] [2010-07-01 12:37:45] [b6623a0531b43a362887826f077b4445]
- RMP     [Mean Plot] [gemiddeldegrafieken] [2010-07-01 13:10:54] [b6623a0531b43a362887826f077b4445]
- RMP       [(Partial) Autocorrelation Function] [part autocorrelatie] [2010-07-02 17:27:53] [b6623a0531b43a362887826f077b4445]
- RMPD      [(Partial) Autocorrelation Function] [autocorrelatie] [2010-07-02 17:56:34] [b6623a0531b43a362887826f077b4445]
- RMPD      [(Partial) Autocorrelation Function] [part autocorrelatie] [2010-07-02 17:59:53] [b6623a0531b43a362887826f077b4445]
- RMPD      [Variability] [spreidingsmaten] [2010-07-02 18:17:10] [b6623a0531b43a362887826f077b4445]
- RMPD      [Standard Deviation-Mean Plot] [Standard Deviatio...] [2010-07-02 18:20:35] [b6623a0531b43a362887826f077b4445]
- RMPD      [Classical Decomposition] [additieve decompo...] [2010-07-02 18:26:49] [b6623a0531b43a362887826f077b4445]
- RMP     [(Partial) Autocorrelation Function] [autocorrelatie] [2010-07-01 14:43:08] [b6623a0531b43a362887826f077b4445]
- RMP     [Standard Deviation Plot] [spreidingsgrafieken] [2010-07-01 17:38:08] [b6623a0531b43a362887826f077b4445]
- RMPD    [Standard Deviation-Mean Plot] [Standard Deviatio...] [2010-07-01 18:30:57] [b6623a0531b43a362887826f077b4445]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
68
67
66
64
84
83
68
58
59
59
60
62
58
58
59
62
87
83
68
58
68
63
65
68
62
69
74
72
94
102
92
81
99
95
92
93
85
92
99
107
125
137
125
115
135
128
120
123
119
128
139
155
164
176
162
155
174
171
162
160
156
163
180
195
203
212
203
184
200
198
195
177
176
180
194
204
206
219
213
196
214
209
213
194
197
211
240
251
254
273
271
245
264
264
262
237
237
251
272
282
278
291
293
271
284
290
288
262
263
275
297
301
296
309
310
292
300
314
310
288

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time28 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 & 28 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77882&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]28 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=77882&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77882&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 time28 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0158.028469481950.0913934139183434
0.0258.1627058514610.341458598687537
0.0358.46179759489190.658024480527488
0.0458.9268151322980.983434312778182
0.0559.53371174683191.32304342138761
0.0660.25783882430571.63499015539053
0.0761.06980695783941.87450266739513
0.0861.93711068790172.05483482468368
0.0962.83477724561442.20989039893236
0.163.74849273957982.34606729945241
0.1164.67026448188082.45591147763946
0.1265.59825536238652.5636432163048
0.1366.54448888001712.74563533069593
0.1467.54282214413893.10440291252554
0.1568.64776986557473.70472556500908
0.1669.92134510645154.5264503914871
0.1771.41305556570165.46950636091613
0.1873.14224615354796.39362573701491
0.1975.09062610600477.16591091988876
0.277.20769984937027.700227991916
0.2179.42611773879857.97892385980556
0.2281.68054647386228.05067992259402
0.2383.92364779750768.00990365636385
0.2486.13526287717337.9689886404507
0.2588.32401691328658.03397122310855
0.2690.5227200808938.28567729022339
0.2792.7797165212328.76577213703413
0.2895.1482514660749.46869628392298
0.2997.675727023229410.3431194623926
0.3100.39470986726811.3036415698954
0.31103.31750593610112.2527146800319
0.32106.43559955090213.1047858294197
0.33109.72409091495113.8061740951482
0.34113.14974547161614.3479483443741
0.35116.68001553570914.7615576790131
0.36120.29002038514515.1025205200317
0.37123.96523068742415.4250589316983
0.38127.69924408789915.7562277205896
0.39131.48790689807816.0833742491259
0.4135.32237444327416.3586673295193
0.41139.18398736703816.5171265243917
0.42143.04300643172016.5017106595335
0.43146.86169051081116.2839485796052
0.44150.60058322367715.8739169658173
0.45154.22581930876115.3184038923139
0.46157.71510350032414.6874937063151
0.47161.06068512484014.0552570909770
0.48164.26877153032913.4843823481246
0.49167.35591511763213.0121537976942
0.5170.34361739652312.6462715549427
0.51173.25260557489812.3675946077899
0.52176.09805428233012.1403386221003
0.53178.88663847254811.9181871845449
0.54181.61586512362211.6576758407038
0.55184.27570059516911.3276795339564
0.56186.85209363980210.9170245675127
0.57189.33162124124810.4370244401397
0.58191.7062488083309.9230368053837
0.59193.9772145733129.4258222693186
0.6196.1573683218109.00303901846043
0.61198.2718219441878.71010548801485
0.62200.3572750362008.59415532747803
0.63202.4606042802878.6918923372635
0.64204.6371101516599.03107325769312
0.65206.9482846759939.63142830938036
0.66209.45841015744210.4961087559183
0.67212.22912397315511.6006336355339
0.68215.31156745326812.8814246588887
0.69218.73683337809014.2307604925034
0.7222.50670948238415.5062040475462
0.71226.587527731816.5514102549508
0.72230.90971495694117.2267575052262
0.73235.37428538144917.4391522141379
0.74239.86547979942217.1595788767324
0.75244.26687640242316.4281225470348
0.76248.47735119586915.3427788454940
0.77252.42356405277214.037064980817
0.78256.06692343802012.6551267505161
0.79259.40460738296811.3306438219243
0.8262.46554035595210.1698687398060
0.81265.3028284514979.24436507799058
0.82267.983965623138.58466582339396
0.83270.5794751059298.17959658148333
0.84273.1502775427147.9750009358571
0.85275.7348003466527.8738682676897
0.86278.338814572967.75068851781902
0.87280.9329816039647.48735317941026
0.88283.4627965221627.0175559553074
0.89285.8713587437456.36259134495586
0.9288.1283661198625.6348084256733
0.91290.2535690603474.99930242171766
0.92292.3250930955234.6046045665589
0.93294.4724470487694.52268718851544
0.94296.8576793161514.74877059776318
0.95299.6261985475035.19105127406494
0.96302.7837131148315.4913896082172
0.97306.0571603028104.96016776406972
0.98309.0748825887353.42610981429631
0.99311.8729737333312.76211382478239

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 58.02846948195 & 0.0913934139183434 \tabularnewline
0.02 & 58.162705851461 & 0.341458598687537 \tabularnewline
0.03 & 58.4617975948919 & 0.658024480527488 \tabularnewline
0.04 & 58.926815132298 & 0.983434312778182 \tabularnewline
0.05 & 59.5337117468319 & 1.32304342138761 \tabularnewline
0.06 & 60.2578388243057 & 1.63499015539053 \tabularnewline
0.07 & 61.0698069578394 & 1.87450266739513 \tabularnewline
0.08 & 61.9371106879017 & 2.05483482468368 \tabularnewline
0.09 & 62.8347772456144 & 2.20989039893236 \tabularnewline
0.1 & 63.7484927395798 & 2.34606729945241 \tabularnewline
0.11 & 64.6702644818808 & 2.45591147763946 \tabularnewline
0.12 & 65.5982553623865 & 2.5636432163048 \tabularnewline
0.13 & 66.5444888800171 & 2.74563533069593 \tabularnewline
0.14 & 67.5428221441389 & 3.10440291252554 \tabularnewline
0.15 & 68.6477698655747 & 3.70472556500908 \tabularnewline
0.16 & 69.9213451064515 & 4.5264503914871 \tabularnewline
0.17 & 71.4130555657016 & 5.46950636091613 \tabularnewline
0.18 & 73.1422461535479 & 6.39362573701491 \tabularnewline
0.19 & 75.0906261060047 & 7.16591091988876 \tabularnewline
0.2 & 77.2076998493702 & 7.700227991916 \tabularnewline
0.21 & 79.4261177387985 & 7.97892385980556 \tabularnewline
0.22 & 81.6805464738622 & 8.05067992259402 \tabularnewline
0.23 & 83.9236477975076 & 8.00990365636385 \tabularnewline
0.24 & 86.1352628771733 & 7.9689886404507 \tabularnewline
0.25 & 88.3240169132865 & 8.03397122310855 \tabularnewline
0.26 & 90.522720080893 & 8.28567729022339 \tabularnewline
0.27 & 92.779716521232 & 8.76577213703413 \tabularnewline
0.28 & 95.148251466074 & 9.46869628392298 \tabularnewline
0.29 & 97.6757270232294 & 10.3431194623926 \tabularnewline
0.3 & 100.394709867268 & 11.3036415698954 \tabularnewline
0.31 & 103.317505936101 & 12.2527146800319 \tabularnewline
0.32 & 106.435599550902 & 13.1047858294197 \tabularnewline
0.33 & 109.724090914951 & 13.8061740951482 \tabularnewline
0.34 & 113.149745471616 & 14.3479483443741 \tabularnewline
0.35 & 116.680015535709 & 14.7615576790131 \tabularnewline
0.36 & 120.290020385145 & 15.1025205200317 \tabularnewline
0.37 & 123.965230687424 & 15.4250589316983 \tabularnewline
0.38 & 127.699244087899 & 15.7562277205896 \tabularnewline
0.39 & 131.487906898078 & 16.0833742491259 \tabularnewline
0.4 & 135.322374443274 & 16.3586673295193 \tabularnewline
0.41 & 139.183987367038 & 16.5171265243917 \tabularnewline
0.42 & 143.043006431720 & 16.5017106595335 \tabularnewline
0.43 & 146.861690510811 & 16.2839485796052 \tabularnewline
0.44 & 150.600583223677 & 15.8739169658173 \tabularnewline
0.45 & 154.225819308761 & 15.3184038923139 \tabularnewline
0.46 & 157.715103500324 & 14.6874937063151 \tabularnewline
0.47 & 161.060685124840 & 14.0552570909770 \tabularnewline
0.48 & 164.268771530329 & 13.4843823481246 \tabularnewline
0.49 & 167.355915117632 & 13.0121537976942 \tabularnewline
0.5 & 170.343617396523 & 12.6462715549427 \tabularnewline
0.51 & 173.252605574898 & 12.3675946077899 \tabularnewline
0.52 & 176.098054282330 & 12.1403386221003 \tabularnewline
0.53 & 178.886638472548 & 11.9181871845449 \tabularnewline
0.54 & 181.615865123622 & 11.6576758407038 \tabularnewline
0.55 & 184.275700595169 & 11.3276795339564 \tabularnewline
0.56 & 186.852093639802 & 10.9170245675127 \tabularnewline
0.57 & 189.331621241248 & 10.4370244401397 \tabularnewline
0.58 & 191.706248808330 & 9.9230368053837 \tabularnewline
0.59 & 193.977214573312 & 9.4258222693186 \tabularnewline
0.6 & 196.157368321810 & 9.00303901846043 \tabularnewline
0.61 & 198.271821944187 & 8.71010548801485 \tabularnewline
0.62 & 200.357275036200 & 8.59415532747803 \tabularnewline
0.63 & 202.460604280287 & 8.6918923372635 \tabularnewline
0.64 & 204.637110151659 & 9.03107325769312 \tabularnewline
0.65 & 206.948284675993 & 9.63142830938036 \tabularnewline
0.66 & 209.458410157442 & 10.4961087559183 \tabularnewline
0.67 & 212.229123973155 & 11.6006336355339 \tabularnewline
0.68 & 215.311567453268 & 12.8814246588887 \tabularnewline
0.69 & 218.736833378090 & 14.2307604925034 \tabularnewline
0.7 & 222.506709482384 & 15.5062040475462 \tabularnewline
0.71 & 226.5875277318 & 16.5514102549508 \tabularnewline
0.72 & 230.909714956941 & 17.2267575052262 \tabularnewline
0.73 & 235.374285381449 & 17.4391522141379 \tabularnewline
0.74 & 239.865479799422 & 17.1595788767324 \tabularnewline
0.75 & 244.266876402423 & 16.4281225470348 \tabularnewline
0.76 & 248.477351195869 & 15.3427788454940 \tabularnewline
0.77 & 252.423564052772 & 14.037064980817 \tabularnewline
0.78 & 256.066923438020 & 12.6551267505161 \tabularnewline
0.79 & 259.404607382968 & 11.3306438219243 \tabularnewline
0.8 & 262.465540355952 & 10.1698687398060 \tabularnewline
0.81 & 265.302828451497 & 9.24436507799058 \tabularnewline
0.82 & 267.98396562313 & 8.58466582339396 \tabularnewline
0.83 & 270.579475105929 & 8.17959658148333 \tabularnewline
0.84 & 273.150277542714 & 7.9750009358571 \tabularnewline
0.85 & 275.734800346652 & 7.8738682676897 \tabularnewline
0.86 & 278.33881457296 & 7.75068851781902 \tabularnewline
0.87 & 280.932981603964 & 7.48735317941026 \tabularnewline
0.88 & 283.462796522162 & 7.0175559553074 \tabularnewline
0.89 & 285.871358743745 & 6.36259134495586 \tabularnewline
0.9 & 288.128366119862 & 5.6348084256733 \tabularnewline
0.91 & 290.253569060347 & 4.99930242171766 \tabularnewline
0.92 & 292.325093095523 & 4.6046045665589 \tabularnewline
0.93 & 294.472447048769 & 4.52268718851544 \tabularnewline
0.94 & 296.857679316151 & 4.74877059776318 \tabularnewline
0.95 & 299.626198547503 & 5.19105127406494 \tabularnewline
0.96 & 302.783713114831 & 5.4913896082172 \tabularnewline
0.97 & 306.057160302810 & 4.96016776406972 \tabularnewline
0.98 & 309.074882588735 & 3.42610981429631 \tabularnewline
0.99 & 311.872973733331 & 2.76211382478239 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77882&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]58.02846948195[/C][C]0.0913934139183434[/C][/ROW]
[ROW][C]0.02[/C][C]58.162705851461[/C][C]0.341458598687537[/C][/ROW]
[ROW][C]0.03[/C][C]58.4617975948919[/C][C]0.658024480527488[/C][/ROW]
[ROW][C]0.04[/C][C]58.926815132298[/C][C]0.983434312778182[/C][/ROW]
[ROW][C]0.05[/C][C]59.5337117468319[/C][C]1.32304342138761[/C][/ROW]
[ROW][C]0.06[/C][C]60.2578388243057[/C][C]1.63499015539053[/C][/ROW]
[ROW][C]0.07[/C][C]61.0698069578394[/C][C]1.87450266739513[/C][/ROW]
[ROW][C]0.08[/C][C]61.9371106879017[/C][C]2.05483482468368[/C][/ROW]
[ROW][C]0.09[/C][C]62.8347772456144[/C][C]2.20989039893236[/C][/ROW]
[ROW][C]0.1[/C][C]63.7484927395798[/C][C]2.34606729945241[/C][/ROW]
[ROW][C]0.11[/C][C]64.6702644818808[/C][C]2.45591147763946[/C][/ROW]
[ROW][C]0.12[/C][C]65.5982553623865[/C][C]2.5636432163048[/C][/ROW]
[ROW][C]0.13[/C][C]66.5444888800171[/C][C]2.74563533069593[/C][/ROW]
[ROW][C]0.14[/C][C]67.5428221441389[/C][C]3.10440291252554[/C][/ROW]
[ROW][C]0.15[/C][C]68.6477698655747[/C][C]3.70472556500908[/C][/ROW]
[ROW][C]0.16[/C][C]69.9213451064515[/C][C]4.5264503914871[/C][/ROW]
[ROW][C]0.17[/C][C]71.4130555657016[/C][C]5.46950636091613[/C][/ROW]
[ROW][C]0.18[/C][C]73.1422461535479[/C][C]6.39362573701491[/C][/ROW]
[ROW][C]0.19[/C][C]75.0906261060047[/C][C]7.16591091988876[/C][/ROW]
[ROW][C]0.2[/C][C]77.2076998493702[/C][C]7.700227991916[/C][/ROW]
[ROW][C]0.21[/C][C]79.4261177387985[/C][C]7.97892385980556[/C][/ROW]
[ROW][C]0.22[/C][C]81.6805464738622[/C][C]8.05067992259402[/C][/ROW]
[ROW][C]0.23[/C][C]83.9236477975076[/C][C]8.00990365636385[/C][/ROW]
[ROW][C]0.24[/C][C]86.1352628771733[/C][C]7.9689886404507[/C][/ROW]
[ROW][C]0.25[/C][C]88.3240169132865[/C][C]8.03397122310855[/C][/ROW]
[ROW][C]0.26[/C][C]90.522720080893[/C][C]8.28567729022339[/C][/ROW]
[ROW][C]0.27[/C][C]92.779716521232[/C][C]8.76577213703413[/C][/ROW]
[ROW][C]0.28[/C][C]95.148251466074[/C][C]9.46869628392298[/C][/ROW]
[ROW][C]0.29[/C][C]97.6757270232294[/C][C]10.3431194623926[/C][/ROW]
[ROW][C]0.3[/C][C]100.394709867268[/C][C]11.3036415698954[/C][/ROW]
[ROW][C]0.31[/C][C]103.317505936101[/C][C]12.2527146800319[/C][/ROW]
[ROW][C]0.32[/C][C]106.435599550902[/C][C]13.1047858294197[/C][/ROW]
[ROW][C]0.33[/C][C]109.724090914951[/C][C]13.8061740951482[/C][/ROW]
[ROW][C]0.34[/C][C]113.149745471616[/C][C]14.3479483443741[/C][/ROW]
[ROW][C]0.35[/C][C]116.680015535709[/C][C]14.7615576790131[/C][/ROW]
[ROW][C]0.36[/C][C]120.290020385145[/C][C]15.1025205200317[/C][/ROW]
[ROW][C]0.37[/C][C]123.965230687424[/C][C]15.4250589316983[/C][/ROW]
[ROW][C]0.38[/C][C]127.699244087899[/C][C]15.7562277205896[/C][/ROW]
[ROW][C]0.39[/C][C]131.487906898078[/C][C]16.0833742491259[/C][/ROW]
[ROW][C]0.4[/C][C]135.322374443274[/C][C]16.3586673295193[/C][/ROW]
[ROW][C]0.41[/C][C]139.183987367038[/C][C]16.5171265243917[/C][/ROW]
[ROW][C]0.42[/C][C]143.043006431720[/C][C]16.5017106595335[/C][/ROW]
[ROW][C]0.43[/C][C]146.861690510811[/C][C]16.2839485796052[/C][/ROW]
[ROW][C]0.44[/C][C]150.600583223677[/C][C]15.8739169658173[/C][/ROW]
[ROW][C]0.45[/C][C]154.225819308761[/C][C]15.3184038923139[/C][/ROW]
[ROW][C]0.46[/C][C]157.715103500324[/C][C]14.6874937063151[/C][/ROW]
[ROW][C]0.47[/C][C]161.060685124840[/C][C]14.0552570909770[/C][/ROW]
[ROW][C]0.48[/C][C]164.268771530329[/C][C]13.4843823481246[/C][/ROW]
[ROW][C]0.49[/C][C]167.355915117632[/C][C]13.0121537976942[/C][/ROW]
[ROW][C]0.5[/C][C]170.343617396523[/C][C]12.6462715549427[/C][/ROW]
[ROW][C]0.51[/C][C]173.252605574898[/C][C]12.3675946077899[/C][/ROW]
[ROW][C]0.52[/C][C]176.098054282330[/C][C]12.1403386221003[/C][/ROW]
[ROW][C]0.53[/C][C]178.886638472548[/C][C]11.9181871845449[/C][/ROW]
[ROW][C]0.54[/C][C]181.615865123622[/C][C]11.6576758407038[/C][/ROW]
[ROW][C]0.55[/C][C]184.275700595169[/C][C]11.3276795339564[/C][/ROW]
[ROW][C]0.56[/C][C]186.852093639802[/C][C]10.9170245675127[/C][/ROW]
[ROW][C]0.57[/C][C]189.331621241248[/C][C]10.4370244401397[/C][/ROW]
[ROW][C]0.58[/C][C]191.706248808330[/C][C]9.9230368053837[/C][/ROW]
[ROW][C]0.59[/C][C]193.977214573312[/C][C]9.4258222693186[/C][/ROW]
[ROW][C]0.6[/C][C]196.157368321810[/C][C]9.00303901846043[/C][/ROW]
[ROW][C]0.61[/C][C]198.271821944187[/C][C]8.71010548801485[/C][/ROW]
[ROW][C]0.62[/C][C]200.357275036200[/C][C]8.59415532747803[/C][/ROW]
[ROW][C]0.63[/C][C]202.460604280287[/C][C]8.6918923372635[/C][/ROW]
[ROW][C]0.64[/C][C]204.637110151659[/C][C]9.03107325769312[/C][/ROW]
[ROW][C]0.65[/C][C]206.948284675993[/C][C]9.63142830938036[/C][/ROW]
[ROW][C]0.66[/C][C]209.458410157442[/C][C]10.4961087559183[/C][/ROW]
[ROW][C]0.67[/C][C]212.229123973155[/C][C]11.6006336355339[/C][/ROW]
[ROW][C]0.68[/C][C]215.311567453268[/C][C]12.8814246588887[/C][/ROW]
[ROW][C]0.69[/C][C]218.736833378090[/C][C]14.2307604925034[/C][/ROW]
[ROW][C]0.7[/C][C]222.506709482384[/C][C]15.5062040475462[/C][/ROW]
[ROW][C]0.71[/C][C]226.5875277318[/C][C]16.5514102549508[/C][/ROW]
[ROW][C]0.72[/C][C]230.909714956941[/C][C]17.2267575052262[/C][/ROW]
[ROW][C]0.73[/C][C]235.374285381449[/C][C]17.4391522141379[/C][/ROW]
[ROW][C]0.74[/C][C]239.865479799422[/C][C]17.1595788767324[/C][/ROW]
[ROW][C]0.75[/C][C]244.266876402423[/C][C]16.4281225470348[/C][/ROW]
[ROW][C]0.76[/C][C]248.477351195869[/C][C]15.3427788454940[/C][/ROW]
[ROW][C]0.77[/C][C]252.423564052772[/C][C]14.037064980817[/C][/ROW]
[ROW][C]0.78[/C][C]256.066923438020[/C][C]12.6551267505161[/C][/ROW]
[ROW][C]0.79[/C][C]259.404607382968[/C][C]11.3306438219243[/C][/ROW]
[ROW][C]0.8[/C][C]262.465540355952[/C][C]10.1698687398060[/C][/ROW]
[ROW][C]0.81[/C][C]265.302828451497[/C][C]9.24436507799058[/C][/ROW]
[ROW][C]0.82[/C][C]267.98396562313[/C][C]8.58466582339396[/C][/ROW]
[ROW][C]0.83[/C][C]270.579475105929[/C][C]8.17959658148333[/C][/ROW]
[ROW][C]0.84[/C][C]273.150277542714[/C][C]7.9750009358571[/C][/ROW]
[ROW][C]0.85[/C][C]275.734800346652[/C][C]7.8738682676897[/C][/ROW]
[ROW][C]0.86[/C][C]278.33881457296[/C][C]7.75068851781902[/C][/ROW]
[ROW][C]0.87[/C][C]280.932981603964[/C][C]7.48735317941026[/C][/ROW]
[ROW][C]0.88[/C][C]283.462796522162[/C][C]7.0175559553074[/C][/ROW]
[ROW][C]0.89[/C][C]285.871358743745[/C][C]6.36259134495586[/C][/ROW]
[ROW][C]0.9[/C][C]288.128366119862[/C][C]5.6348084256733[/C][/ROW]
[ROW][C]0.91[/C][C]290.253569060347[/C][C]4.99930242171766[/C][/ROW]
[ROW][C]0.92[/C][C]292.325093095523[/C][C]4.6046045665589[/C][/ROW]
[ROW][C]0.93[/C][C]294.472447048769[/C][C]4.52268718851544[/C][/ROW]
[ROW][C]0.94[/C][C]296.857679316151[/C][C]4.74877059776318[/C][/ROW]
[ROW][C]0.95[/C][C]299.626198547503[/C][C]5.19105127406494[/C][/ROW]
[ROW][C]0.96[/C][C]302.783713114831[/C][C]5.4913896082172[/C][/ROW]
[ROW][C]0.97[/C][C]306.057160302810[/C][C]4.96016776406972[/C][/ROW]
[ROW][C]0.98[/C][C]309.074882588735[/C][C]3.42610981429631[/C][/ROW]
[ROW][C]0.99[/C][C]311.872973733331[/C][C]2.76211382478239[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77882&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77882&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
0.0158.028469481950.0913934139183434
0.0258.1627058514610.341458598687537
0.0358.46179759489190.658024480527488
0.0458.9268151322980.983434312778182
0.0559.53371174683191.32304342138761
0.0660.25783882430571.63499015539053
0.0761.06980695783941.87450266739513
0.0861.93711068790172.05483482468368
0.0962.83477724561442.20989039893236
0.163.74849273957982.34606729945241
0.1164.67026448188082.45591147763946
0.1265.59825536238652.5636432163048
0.1366.54448888001712.74563533069593
0.1467.54282214413893.10440291252554
0.1568.64776986557473.70472556500908
0.1669.92134510645154.5264503914871
0.1771.41305556570165.46950636091613
0.1873.14224615354796.39362573701491
0.1975.09062610600477.16591091988876
0.277.20769984937027.700227991916
0.2179.42611773879857.97892385980556
0.2281.68054647386228.05067992259402
0.2383.92364779750768.00990365636385
0.2486.13526287717337.9689886404507
0.2588.32401691328658.03397122310855
0.2690.5227200808938.28567729022339
0.2792.7797165212328.76577213703413
0.2895.1482514660749.46869628392298
0.2997.675727023229410.3431194623926
0.3100.39470986726811.3036415698954
0.31103.31750593610112.2527146800319
0.32106.43559955090213.1047858294197
0.33109.72409091495113.8061740951482
0.34113.14974547161614.3479483443741
0.35116.68001553570914.7615576790131
0.36120.29002038514515.1025205200317
0.37123.96523068742415.4250589316983
0.38127.69924408789915.7562277205896
0.39131.48790689807816.0833742491259
0.4135.32237444327416.3586673295193
0.41139.18398736703816.5171265243917
0.42143.04300643172016.5017106595335
0.43146.86169051081116.2839485796052
0.44150.60058322367715.8739169658173
0.45154.22581930876115.3184038923139
0.46157.71510350032414.6874937063151
0.47161.06068512484014.0552570909770
0.48164.26877153032913.4843823481246
0.49167.35591511763213.0121537976942
0.5170.34361739652312.6462715549427
0.51173.25260557489812.3675946077899
0.52176.09805428233012.1403386221003
0.53178.88663847254811.9181871845449
0.54181.61586512362211.6576758407038
0.55184.27570059516911.3276795339564
0.56186.85209363980210.9170245675127
0.57189.33162124124810.4370244401397
0.58191.7062488083309.9230368053837
0.59193.9772145733129.4258222693186
0.6196.1573683218109.00303901846043
0.61198.2718219441878.71010548801485
0.62200.3572750362008.59415532747803
0.63202.4606042802878.6918923372635
0.64204.6371101516599.03107325769312
0.65206.9482846759939.63142830938036
0.66209.45841015744210.4961087559183
0.67212.22912397315511.6006336355339
0.68215.31156745326812.8814246588887
0.69218.73683337809014.2307604925034
0.7222.50670948238415.5062040475462
0.71226.587527731816.5514102549508
0.72230.90971495694117.2267575052262
0.73235.37428538144917.4391522141379
0.74239.86547979942217.1595788767324
0.75244.26687640242316.4281225470348
0.76248.47735119586915.3427788454940
0.77252.42356405277214.037064980817
0.78256.06692343802012.6551267505161
0.79259.40460738296811.3306438219243
0.8262.46554035595210.1698687398060
0.81265.3028284514979.24436507799058
0.82267.983965623138.58466582339396
0.83270.5794751059298.17959658148333
0.84273.1502775427147.9750009358571
0.85275.7348003466527.8738682676897
0.86278.338814572967.75068851781902
0.87280.9329816039647.48735317941026
0.88283.4627965221627.0175559553074
0.89285.8713587437456.36259134495586
0.9288.1283661198625.6348084256733
0.91290.2535690603474.99930242171766
0.92292.3250930955234.6046045665589
0.93294.4724470487694.52268718851544
0.94296.8576793161514.74877059776318
0.95299.6261985475035.19105127406494
0.96302.7837131148315.4913896082172
0.97306.0571603028104.96016776406972
0.98309.0748825887353.42610981429631
0.99311.8729737333312.76211382478239


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')