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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 08 Mar 2010 10:14:56 -0700
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/Mar/08/t1268068523tksyu5wh4rid3lx.htm/, Retrieved Mon, 23 May 2022 11:40:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74162, Retrieved Mon, 23 May 2022 11:40:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact105
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2010-03-08 17:14:56] [676a4f18bfa59791b951d67c8b4b8fd1] [Current]
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Dataseries X:
77
70
67
76
85
106
108
120
108
111
109
104
104
117
111
110
116
118
115
111
112
97
106
93
95
97
81
71
75
70
72
80
78
80
81
99
87
100
95
128
112
104
102
108
103
99
96
85
78
74
106
100
109
87
107
106
109
83
84
83
65
68
61
75
66
78
68
68
174
64
48
45




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=74162&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=74162&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74162&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' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0146.85824157650415.1055690612311
0.0250.22753395014917.30690628561164
0.0354.18998557530177.67950745327716
0.0457.87934213600736.53767995206443
0.0560.84080823320054.92844496264018
0.0663.01079079680383.56603612605242
0.0764.54002994346322.66610440197976
0.0865.63151218856452.15916006810227
0.0966.45545617123221.90671296240331
0.167.12851910645331.80772187571236
0.1167.72338143608831.81010313394747
0.1268.28430110380721.88683776995270
0.1368.83864322208172.01668924510137
0.1469.4031974980772.17807302163749
0.1569.987144789752.34923966231617
0.1670.5935959933152.51088416701068
0.1771.22082453039332.64749333339034
0.1871.86359859877532.74881643805667
0.1972.51461711619082.80995519627058
0.273.16590354097152.83184758041602
0.2173.81000128877022.81954529034172
0.2274.44086105819232.78181798231209
0.2375.05437188412022.728820375957
0.2475.6485462582762.6709907104418
0.2576.22341656052072.61756297658625
0.2676.7807297505552.57573302878419
0.2777.32353733065192.55074262368561
0.2877.8557698600562.54564601830298
0.2978.38186518775652.5619792745445
0.378.90649357139122.60004872259096
0.3179.43439616713892.66009870519126
0.3279.97032898050692.74233625731729
0.3380.51908363371372.84769517007002
0.3481.08554032112912.97774753336962
0.3581.67469885006223.13442206758100
0.3682.29163313432793.31932945475018
0.3782.94132511743633.53267220916261
0.3883.62835645579223.77215710744301
0.3984.35646824909434.03203931503425
0.485.12803536518264.30288030551938
0.4185.94353465018964.57151003876324
0.4286.80110688103474.82231969154067
0.4387.69631355301925.03880424571397
0.4488.6221682067225.20549551597686
0.4589.56948011084815.30989736221795
0.4690.52749339327525.34466942310444
0.4791.48474879241315.30812619974796
0.4892.43005080650785.20491112409547
0.4993.35340055152955.04526688604825
0.594.2467593476304.843589359671
0.5195.10453867386274.61649375577176
0.5295.92376139514074.38044936531644
0.5396.70389596424354.1500129527226
0.5497.44641771389323.9362615173347
0.5598.1541895775893.74547374933898
0.5698.83077292974733.57936023467808
0.5799.47977680715743.43540655648982
0.58100.1043338188663.30838254391306
0.59100.7067595439393.19167440518726
0.6101.2884161429473.07852522332637
0.61101.8497667785722.9635572186438
0.62102.3905802777642.84331312601614
0.63102.9102283418912.71636677594516
0.64103.4080116164382.58363190345436
0.65103.8834554647872.44756501190148
0.66104.3365294750382.311678919476
0.67104.7677638458642.17979647435811
0.68105.1782576301002.05548898597224
0.69105.5695948789071.94148529175799
0.7105.9437014751321.83924751334526
0.71106.3026845914301.74904357461263
0.72106.6486958781791.67013973705677
0.73106.9838481391321.60145000318739
0.74107.3101956714751.54178166185288
0.75107.6297662192711.49050500887001
0.76107.9446158447791.44790587626337
0.77108.2568755751891.41453617450027
0.78108.5687757106431.39076579942664
0.79108.8826679028411.37669492748618
0.8109.2011037958791.37167037430291
0.81109.5270497108531.37541488219738
0.82109.8642937600591.38900443844987
0.83110.2180182384121.41663176865939
0.84110.5953748285271.46641174001726
0.85111.0057608311031.54875741859297
0.86111.4604401230341.67167893262184
0.87111.9712937226791.83466611316407
0.88112.5489129988682.02421673415144
0.89113.20098920412.21508753240908
0.9113.9329678620462.3789697052970
0.91114.7542778109642.50103619519271
0.92115.6957032824772.60557638246999
0.93116.8484057902522.79632091122698
0.94118.4446452025283.32330088576274
0.95121.0065765048864.67683380409126
0.96125.5438532999967.69821101906487
0.97133.56195637310313.6095575879190
0.98146.20298287379523.3736418545871
0.99161.85691936862635.7212507676672

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 46.8582415765041 & 5.1055690612311 \tabularnewline
0.02 & 50.2275339501491 & 7.30690628561164 \tabularnewline
0.03 & 54.1899855753017 & 7.67950745327716 \tabularnewline
0.04 & 57.8793421360073 & 6.53767995206443 \tabularnewline
0.05 & 60.8408082332005 & 4.92844496264018 \tabularnewline
0.06 & 63.0107907968038 & 3.56603612605242 \tabularnewline
0.07 & 64.5400299434632 & 2.66610440197976 \tabularnewline
0.08 & 65.6315121885645 & 2.15916006810227 \tabularnewline
0.09 & 66.4554561712322 & 1.90671296240331 \tabularnewline
0.1 & 67.1285191064533 & 1.80772187571236 \tabularnewline
0.11 & 67.7233814360883 & 1.81010313394747 \tabularnewline
0.12 & 68.2843011038072 & 1.88683776995270 \tabularnewline
0.13 & 68.8386432220817 & 2.01668924510137 \tabularnewline
0.14 & 69.403197498077 & 2.17807302163749 \tabularnewline
0.15 & 69.98714478975 & 2.34923966231617 \tabularnewline
0.16 & 70.593595993315 & 2.51088416701068 \tabularnewline
0.17 & 71.2208245303933 & 2.64749333339034 \tabularnewline
0.18 & 71.8635985987753 & 2.74881643805667 \tabularnewline
0.19 & 72.5146171161908 & 2.80995519627058 \tabularnewline
0.2 & 73.1659035409715 & 2.83184758041602 \tabularnewline
0.21 & 73.8100012887702 & 2.81954529034172 \tabularnewline
0.22 & 74.4408610581923 & 2.78181798231209 \tabularnewline
0.23 & 75.0543718841202 & 2.728820375957 \tabularnewline
0.24 & 75.648546258276 & 2.6709907104418 \tabularnewline
0.25 & 76.2234165605207 & 2.61756297658625 \tabularnewline
0.26 & 76.780729750555 & 2.57573302878419 \tabularnewline
0.27 & 77.3235373306519 & 2.55074262368561 \tabularnewline
0.28 & 77.855769860056 & 2.54564601830298 \tabularnewline
0.29 & 78.3818651877565 & 2.5619792745445 \tabularnewline
0.3 & 78.9064935713912 & 2.60004872259096 \tabularnewline
0.31 & 79.4343961671389 & 2.66009870519126 \tabularnewline
0.32 & 79.9703289805069 & 2.74233625731729 \tabularnewline
0.33 & 80.5190836337137 & 2.84769517007002 \tabularnewline
0.34 & 81.0855403211291 & 2.97774753336962 \tabularnewline
0.35 & 81.6746988500622 & 3.13442206758100 \tabularnewline
0.36 & 82.2916331343279 & 3.31932945475018 \tabularnewline
0.37 & 82.9413251174363 & 3.53267220916261 \tabularnewline
0.38 & 83.6283564557922 & 3.77215710744301 \tabularnewline
0.39 & 84.3564682490943 & 4.03203931503425 \tabularnewline
0.4 & 85.1280353651826 & 4.30288030551938 \tabularnewline
0.41 & 85.9435346501896 & 4.57151003876324 \tabularnewline
0.42 & 86.8011068810347 & 4.82231969154067 \tabularnewline
0.43 & 87.6963135530192 & 5.03880424571397 \tabularnewline
0.44 & 88.622168206722 & 5.20549551597686 \tabularnewline
0.45 & 89.5694801108481 & 5.30989736221795 \tabularnewline
0.46 & 90.5274933932752 & 5.34466942310444 \tabularnewline
0.47 & 91.4847487924131 & 5.30812619974796 \tabularnewline
0.48 & 92.4300508065078 & 5.20491112409547 \tabularnewline
0.49 & 93.3534005515295 & 5.04526688604825 \tabularnewline
0.5 & 94.246759347630 & 4.843589359671 \tabularnewline
0.51 & 95.1045386738627 & 4.61649375577176 \tabularnewline
0.52 & 95.9237613951407 & 4.38044936531644 \tabularnewline
0.53 & 96.7038959642435 & 4.1500129527226 \tabularnewline
0.54 & 97.4464177138932 & 3.9362615173347 \tabularnewline
0.55 & 98.154189577589 & 3.74547374933898 \tabularnewline
0.56 & 98.8307729297473 & 3.57936023467808 \tabularnewline
0.57 & 99.4797768071574 & 3.43540655648982 \tabularnewline
0.58 & 100.104333818866 & 3.30838254391306 \tabularnewline
0.59 & 100.706759543939 & 3.19167440518726 \tabularnewline
0.6 & 101.288416142947 & 3.07852522332637 \tabularnewline
0.61 & 101.849766778572 & 2.9635572186438 \tabularnewline
0.62 & 102.390580277764 & 2.84331312601614 \tabularnewline
0.63 & 102.910228341891 & 2.71636677594516 \tabularnewline
0.64 & 103.408011616438 & 2.58363190345436 \tabularnewline
0.65 & 103.883455464787 & 2.44756501190148 \tabularnewline
0.66 & 104.336529475038 & 2.311678919476 \tabularnewline
0.67 & 104.767763845864 & 2.17979647435811 \tabularnewline
0.68 & 105.178257630100 & 2.05548898597224 \tabularnewline
0.69 & 105.569594878907 & 1.94148529175799 \tabularnewline
0.7 & 105.943701475132 & 1.83924751334526 \tabularnewline
0.71 & 106.302684591430 & 1.74904357461263 \tabularnewline
0.72 & 106.648695878179 & 1.67013973705677 \tabularnewline
0.73 & 106.983848139132 & 1.60145000318739 \tabularnewline
0.74 & 107.310195671475 & 1.54178166185288 \tabularnewline
0.75 & 107.629766219271 & 1.49050500887001 \tabularnewline
0.76 & 107.944615844779 & 1.44790587626337 \tabularnewline
0.77 & 108.256875575189 & 1.41453617450027 \tabularnewline
0.78 & 108.568775710643 & 1.39076579942664 \tabularnewline
0.79 & 108.882667902841 & 1.37669492748618 \tabularnewline
0.8 & 109.201103795879 & 1.37167037430291 \tabularnewline
0.81 & 109.527049710853 & 1.37541488219738 \tabularnewline
0.82 & 109.864293760059 & 1.38900443844987 \tabularnewline
0.83 & 110.218018238412 & 1.41663176865939 \tabularnewline
0.84 & 110.595374828527 & 1.46641174001726 \tabularnewline
0.85 & 111.005760831103 & 1.54875741859297 \tabularnewline
0.86 & 111.460440123034 & 1.67167893262184 \tabularnewline
0.87 & 111.971293722679 & 1.83466611316407 \tabularnewline
0.88 & 112.548912998868 & 2.02421673415144 \tabularnewline
0.89 & 113.2009892041 & 2.21508753240908 \tabularnewline
0.9 & 113.932967862046 & 2.3789697052970 \tabularnewline
0.91 & 114.754277810964 & 2.50103619519271 \tabularnewline
0.92 & 115.695703282477 & 2.60557638246999 \tabularnewline
0.93 & 116.848405790252 & 2.79632091122698 \tabularnewline
0.94 & 118.444645202528 & 3.32330088576274 \tabularnewline
0.95 & 121.006576504886 & 4.67683380409126 \tabularnewline
0.96 & 125.543853299996 & 7.69821101906487 \tabularnewline
0.97 & 133.561956373103 & 13.6095575879190 \tabularnewline
0.98 & 146.202982873795 & 23.3736418545871 \tabularnewline
0.99 & 161.856919368626 & 35.7212507676672 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74162&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]46.8582415765041[/C][C]5.1055690612311[/C][/ROW]
[ROW][C]0.02[/C][C]50.2275339501491[/C][C]7.30690628561164[/C][/ROW]
[ROW][C]0.03[/C][C]54.1899855753017[/C][C]7.67950745327716[/C][/ROW]
[ROW][C]0.04[/C][C]57.8793421360073[/C][C]6.53767995206443[/C][/ROW]
[ROW][C]0.05[/C][C]60.8408082332005[/C][C]4.92844496264018[/C][/ROW]
[ROW][C]0.06[/C][C]63.0107907968038[/C][C]3.56603612605242[/C][/ROW]
[ROW][C]0.07[/C][C]64.5400299434632[/C][C]2.66610440197976[/C][/ROW]
[ROW][C]0.08[/C][C]65.6315121885645[/C][C]2.15916006810227[/C][/ROW]
[ROW][C]0.09[/C][C]66.4554561712322[/C][C]1.90671296240331[/C][/ROW]
[ROW][C]0.1[/C][C]67.1285191064533[/C][C]1.80772187571236[/C][/ROW]
[ROW][C]0.11[/C][C]67.7233814360883[/C][C]1.81010313394747[/C][/ROW]
[ROW][C]0.12[/C][C]68.2843011038072[/C][C]1.88683776995270[/C][/ROW]
[ROW][C]0.13[/C][C]68.8386432220817[/C][C]2.01668924510137[/C][/ROW]
[ROW][C]0.14[/C][C]69.403197498077[/C][C]2.17807302163749[/C][/ROW]
[ROW][C]0.15[/C][C]69.98714478975[/C][C]2.34923966231617[/C][/ROW]
[ROW][C]0.16[/C][C]70.593595993315[/C][C]2.51088416701068[/C][/ROW]
[ROW][C]0.17[/C][C]71.2208245303933[/C][C]2.64749333339034[/C][/ROW]
[ROW][C]0.18[/C][C]71.8635985987753[/C][C]2.74881643805667[/C][/ROW]
[ROW][C]0.19[/C][C]72.5146171161908[/C][C]2.80995519627058[/C][/ROW]
[ROW][C]0.2[/C][C]73.1659035409715[/C][C]2.83184758041602[/C][/ROW]
[ROW][C]0.21[/C][C]73.8100012887702[/C][C]2.81954529034172[/C][/ROW]
[ROW][C]0.22[/C][C]74.4408610581923[/C][C]2.78181798231209[/C][/ROW]
[ROW][C]0.23[/C][C]75.0543718841202[/C][C]2.728820375957[/C][/ROW]
[ROW][C]0.24[/C][C]75.648546258276[/C][C]2.6709907104418[/C][/ROW]
[ROW][C]0.25[/C][C]76.2234165605207[/C][C]2.61756297658625[/C][/ROW]
[ROW][C]0.26[/C][C]76.780729750555[/C][C]2.57573302878419[/C][/ROW]
[ROW][C]0.27[/C][C]77.3235373306519[/C][C]2.55074262368561[/C][/ROW]
[ROW][C]0.28[/C][C]77.855769860056[/C][C]2.54564601830298[/C][/ROW]
[ROW][C]0.29[/C][C]78.3818651877565[/C][C]2.5619792745445[/C][/ROW]
[ROW][C]0.3[/C][C]78.9064935713912[/C][C]2.60004872259096[/C][/ROW]
[ROW][C]0.31[/C][C]79.4343961671389[/C][C]2.66009870519126[/C][/ROW]
[ROW][C]0.32[/C][C]79.9703289805069[/C][C]2.74233625731729[/C][/ROW]
[ROW][C]0.33[/C][C]80.5190836337137[/C][C]2.84769517007002[/C][/ROW]
[ROW][C]0.34[/C][C]81.0855403211291[/C][C]2.97774753336962[/C][/ROW]
[ROW][C]0.35[/C][C]81.6746988500622[/C][C]3.13442206758100[/C][/ROW]
[ROW][C]0.36[/C][C]82.2916331343279[/C][C]3.31932945475018[/C][/ROW]
[ROW][C]0.37[/C][C]82.9413251174363[/C][C]3.53267220916261[/C][/ROW]
[ROW][C]0.38[/C][C]83.6283564557922[/C][C]3.77215710744301[/C][/ROW]
[ROW][C]0.39[/C][C]84.3564682490943[/C][C]4.03203931503425[/C][/ROW]
[ROW][C]0.4[/C][C]85.1280353651826[/C][C]4.30288030551938[/C][/ROW]
[ROW][C]0.41[/C][C]85.9435346501896[/C][C]4.57151003876324[/C][/ROW]
[ROW][C]0.42[/C][C]86.8011068810347[/C][C]4.82231969154067[/C][/ROW]
[ROW][C]0.43[/C][C]87.6963135530192[/C][C]5.03880424571397[/C][/ROW]
[ROW][C]0.44[/C][C]88.622168206722[/C][C]5.20549551597686[/C][/ROW]
[ROW][C]0.45[/C][C]89.5694801108481[/C][C]5.30989736221795[/C][/ROW]
[ROW][C]0.46[/C][C]90.5274933932752[/C][C]5.34466942310444[/C][/ROW]
[ROW][C]0.47[/C][C]91.4847487924131[/C][C]5.30812619974796[/C][/ROW]
[ROW][C]0.48[/C][C]92.4300508065078[/C][C]5.20491112409547[/C][/ROW]
[ROW][C]0.49[/C][C]93.3534005515295[/C][C]5.04526688604825[/C][/ROW]
[ROW][C]0.5[/C][C]94.246759347630[/C][C]4.843589359671[/C][/ROW]
[ROW][C]0.51[/C][C]95.1045386738627[/C][C]4.61649375577176[/C][/ROW]
[ROW][C]0.52[/C][C]95.9237613951407[/C][C]4.38044936531644[/C][/ROW]
[ROW][C]0.53[/C][C]96.7038959642435[/C][C]4.1500129527226[/C][/ROW]
[ROW][C]0.54[/C][C]97.4464177138932[/C][C]3.9362615173347[/C][/ROW]
[ROW][C]0.55[/C][C]98.154189577589[/C][C]3.74547374933898[/C][/ROW]
[ROW][C]0.56[/C][C]98.8307729297473[/C][C]3.57936023467808[/C][/ROW]
[ROW][C]0.57[/C][C]99.4797768071574[/C][C]3.43540655648982[/C][/ROW]
[ROW][C]0.58[/C][C]100.104333818866[/C][C]3.30838254391306[/C][/ROW]
[ROW][C]0.59[/C][C]100.706759543939[/C][C]3.19167440518726[/C][/ROW]
[ROW][C]0.6[/C][C]101.288416142947[/C][C]3.07852522332637[/C][/ROW]
[ROW][C]0.61[/C][C]101.849766778572[/C][C]2.9635572186438[/C][/ROW]
[ROW][C]0.62[/C][C]102.390580277764[/C][C]2.84331312601614[/C][/ROW]
[ROW][C]0.63[/C][C]102.910228341891[/C][C]2.71636677594516[/C][/ROW]
[ROW][C]0.64[/C][C]103.408011616438[/C][C]2.58363190345436[/C][/ROW]
[ROW][C]0.65[/C][C]103.883455464787[/C][C]2.44756501190148[/C][/ROW]
[ROW][C]0.66[/C][C]104.336529475038[/C][C]2.311678919476[/C][/ROW]
[ROW][C]0.67[/C][C]104.767763845864[/C][C]2.17979647435811[/C][/ROW]
[ROW][C]0.68[/C][C]105.178257630100[/C][C]2.05548898597224[/C][/ROW]
[ROW][C]0.69[/C][C]105.569594878907[/C][C]1.94148529175799[/C][/ROW]
[ROW][C]0.7[/C][C]105.943701475132[/C][C]1.83924751334526[/C][/ROW]
[ROW][C]0.71[/C][C]106.302684591430[/C][C]1.74904357461263[/C][/ROW]
[ROW][C]0.72[/C][C]106.648695878179[/C][C]1.67013973705677[/C][/ROW]
[ROW][C]0.73[/C][C]106.983848139132[/C][C]1.60145000318739[/C][/ROW]
[ROW][C]0.74[/C][C]107.310195671475[/C][C]1.54178166185288[/C][/ROW]
[ROW][C]0.75[/C][C]107.629766219271[/C][C]1.49050500887001[/C][/ROW]
[ROW][C]0.76[/C][C]107.944615844779[/C][C]1.44790587626337[/C][/ROW]
[ROW][C]0.77[/C][C]108.256875575189[/C][C]1.41453617450027[/C][/ROW]
[ROW][C]0.78[/C][C]108.568775710643[/C][C]1.39076579942664[/C][/ROW]
[ROW][C]0.79[/C][C]108.882667902841[/C][C]1.37669492748618[/C][/ROW]
[ROW][C]0.8[/C][C]109.201103795879[/C][C]1.37167037430291[/C][/ROW]
[ROW][C]0.81[/C][C]109.527049710853[/C][C]1.37541488219738[/C][/ROW]
[ROW][C]0.82[/C][C]109.864293760059[/C][C]1.38900443844987[/C][/ROW]
[ROW][C]0.83[/C][C]110.218018238412[/C][C]1.41663176865939[/C][/ROW]
[ROW][C]0.84[/C][C]110.595374828527[/C][C]1.46641174001726[/C][/ROW]
[ROW][C]0.85[/C][C]111.005760831103[/C][C]1.54875741859297[/C][/ROW]
[ROW][C]0.86[/C][C]111.460440123034[/C][C]1.67167893262184[/C][/ROW]
[ROW][C]0.87[/C][C]111.971293722679[/C][C]1.83466611316407[/C][/ROW]
[ROW][C]0.88[/C][C]112.548912998868[/C][C]2.02421673415144[/C][/ROW]
[ROW][C]0.89[/C][C]113.2009892041[/C][C]2.21508753240908[/C][/ROW]
[ROW][C]0.9[/C][C]113.932967862046[/C][C]2.3789697052970[/C][/ROW]
[ROW][C]0.91[/C][C]114.754277810964[/C][C]2.50103619519271[/C][/ROW]
[ROW][C]0.92[/C][C]115.695703282477[/C][C]2.60557638246999[/C][/ROW]
[ROW][C]0.93[/C][C]116.848405790252[/C][C]2.79632091122698[/C][/ROW]
[ROW][C]0.94[/C][C]118.444645202528[/C][C]3.32330088576274[/C][/ROW]
[ROW][C]0.95[/C][C]121.006576504886[/C][C]4.67683380409126[/C][/ROW]
[ROW][C]0.96[/C][C]125.543853299996[/C][C]7.69821101906487[/C][/ROW]
[ROW][C]0.97[/C][C]133.561956373103[/C][C]13.6095575879190[/C][/ROW]
[ROW][C]0.98[/C][C]146.202982873795[/C][C]23.3736418545871[/C][/ROW]
[ROW][C]0.99[/C][C]161.856919368626[/C][C]35.7212507676672[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74162&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74162&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0146.85824157650415.1055690612311
0.0250.22753395014917.30690628561164
0.0354.18998557530177.67950745327716
0.0457.87934213600736.53767995206443
0.0560.84080823320054.92844496264018
0.0663.01079079680383.56603612605242
0.0764.54002994346322.66610440197976
0.0865.63151218856452.15916006810227
0.0966.45545617123221.90671296240331
0.167.12851910645331.80772187571236
0.1167.72338143608831.81010313394747
0.1268.28430110380721.88683776995270
0.1368.83864322208172.01668924510137
0.1469.4031974980772.17807302163749
0.1569.987144789752.34923966231617
0.1670.5935959933152.51088416701068
0.1771.22082453039332.64749333339034
0.1871.86359859877532.74881643805667
0.1972.51461711619082.80995519627058
0.273.16590354097152.83184758041602
0.2173.81000128877022.81954529034172
0.2274.44086105819232.78181798231209
0.2375.05437188412022.728820375957
0.2475.6485462582762.6709907104418
0.2576.22341656052072.61756297658625
0.2676.7807297505552.57573302878419
0.2777.32353733065192.55074262368561
0.2877.8557698600562.54564601830298
0.2978.38186518775652.5619792745445
0.378.90649357139122.60004872259096
0.3179.43439616713892.66009870519126
0.3279.97032898050692.74233625731729
0.3380.51908363371372.84769517007002
0.3481.08554032112912.97774753336962
0.3581.67469885006223.13442206758100
0.3682.29163313432793.31932945475018
0.3782.94132511743633.53267220916261
0.3883.62835645579223.77215710744301
0.3984.35646824909434.03203931503425
0.485.12803536518264.30288030551938
0.4185.94353465018964.57151003876324
0.4286.80110688103474.82231969154067
0.4387.69631355301925.03880424571397
0.4488.6221682067225.20549551597686
0.4589.56948011084815.30989736221795
0.4690.52749339327525.34466942310444
0.4791.48474879241315.30812619974796
0.4892.43005080650785.20491112409547
0.4993.35340055152955.04526688604825
0.594.2467593476304.843589359671
0.5195.10453867386274.61649375577176
0.5295.92376139514074.38044936531644
0.5396.70389596424354.1500129527226
0.5497.44641771389323.9362615173347
0.5598.1541895775893.74547374933898
0.5698.83077292974733.57936023467808
0.5799.47977680715743.43540655648982
0.58100.1043338188663.30838254391306
0.59100.7067595439393.19167440518726
0.6101.2884161429473.07852522332637
0.61101.8497667785722.9635572186438
0.62102.3905802777642.84331312601614
0.63102.9102283418912.71636677594516
0.64103.4080116164382.58363190345436
0.65103.8834554647872.44756501190148
0.66104.3365294750382.311678919476
0.67104.7677638458642.17979647435811
0.68105.1782576301002.05548898597224
0.69105.5695948789071.94148529175799
0.7105.9437014751321.83924751334526
0.71106.3026845914301.74904357461263
0.72106.6486958781791.67013973705677
0.73106.9838481391321.60145000318739
0.74107.3101956714751.54178166185288
0.75107.6297662192711.49050500887001
0.76107.9446158447791.44790587626337
0.77108.2568755751891.41453617450027
0.78108.5687757106431.39076579942664
0.79108.8826679028411.37669492748618
0.8109.2011037958791.37167037430291
0.81109.5270497108531.37541488219738
0.82109.8642937600591.38900443844987
0.83110.2180182384121.41663176865939
0.84110.5953748285271.46641174001726
0.85111.0057608311031.54875741859297
0.86111.4604401230341.67167893262184
0.87111.9712937226791.83466611316407
0.88112.5489129988682.02421673415144
0.89113.20098920412.21508753240908
0.9113.9329678620462.3789697052970
0.91114.7542778109642.50103619519271
0.92115.6957032824772.60557638246999
0.93116.8484057902522.79632091122698
0.94118.4446452025283.32330088576274
0.95121.0065765048864.67683380409126
0.96125.5438532999967.69821101906487
0.97133.56195637310313.6095575879190
0.98146.20298287379523.3736418545871
0.99161.85691936862635.7212507676672



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')