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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 computationSun, 16 Feb 2014 17:13:43 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Feb/16/t13925889219q1r8p4ekpjgyfp.htm/, Retrieved Wed, 15 May 2024 23:06:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233876, Retrieved Wed, 15 May 2024 23:06:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact92

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2014-01-31 10:48:55] [68b3e6320f252e1f50534bfc7f55de90]
- RMPD    [Harrell-Davis Quantiles] [] [2014-02-16 22:13:43] [0a29af7e4d8d6424b8240e38ffd48a3a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3200944
3153170
3741498
3918719
4403449
4400407
4847473
4716136
4297440
4272253
3271834
3168388
2911748
2720999
3199918
3672623
3892013
3850845
4532467
4484739
4014972
3983758
3158459
3100569
2935404
2855719
3465611
3006985
4095110
4104793
4730788
4642726
4246919
4308032
3508154
3236641
3257275
3045631
3657692
4125747
4472507
4513455
5150896
5057815
4681742
4603682
3580181
3534002
3422762
3295209
3868093
4189245
4544332
4612845
5221595
5137505
4760439
4643697
3692267
3587603

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233876&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233876&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233876&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 time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012751969.76296332116496.374787323
0.022797002.2204618296462.5735391607
0.032843418.1419353381500.3906337316
0.042884875.3801873275047.7593972984
0.052920668.5783926975264.7814658998
0.062952378.5083348678508.0663413339
0.072981603.1074166881849.4293996074
0.083009214.1847272683663.9235826001
0.093035438.5206951683374.6014580934
0.13060163.2615515481113.6459941699
0.113083197.6953843477414.0136792177
0.123104429.6125197973008.7991994954
0.133123891.8720809568696.2310792716
0.143141769.8171622965228.0910427849
0.153158375.4548470863212.1466935979
0.163174106.5803424863061.896504171
0.173189402.572236464952.5741705182
0.183204703.737118568831.5423657704
0.193220417.5161021774475.3043602836
0.23236892.4586195381554.774782765
0.213254399.604518789654.6295007659
0.223273120.6387175298302.0386939555
0.233293142.5101561106999.842342031
0.243314458.63746378115258.214430165
0.253336976.93636857122644.897801709
0.263360534.51041983128811.752761759
0.273384918.02991953133544.37780057
0.283409887.8629353136789.262519381
0.293435203.25624395138630.849737417
0.33460645.55981724139293.370807303
0.313486036.75652556139087.615417779
0.323511251.33694589138380.071133282
0.333536220.65439644137530.927067371
0.343560930.05704921136854.350461609
0.353585410.08945771136576.608227986
0.363609723.72394308136835.233880744
0.373633951.85562399137654.601310612
0.383658179.1928975138974.126004897
0.393682482.27889236140672.177624359
0.43706920.80063585142574.96009141
0.413731532.69748835144517.045903119
0.423756332.97130817146343.011191857
0.433781315.60708761147928.742231275
0.443806457.68623067149194.412233131
0.453831724.63788164150109.032366965
0.463857075.62030109150673.863015803
0.473882468.220977150912.056251897
0.483907861.9568975150867.160847446
0.493933220.38030594150581.445890332
0.53958511.88723032150082.414658909
0.513983709.5372113149408.09646091
0.524008790.29686526148561.306258667
0.534033734.11655032147551.639589723
0.544058523.15940196146388.898022992
0.554083141.35956222145075.390664982
0.564107574.32929602143614.156790554
0.574131809.49629323142022.531546478
0.584155836.25758405140318.185298936
0.594179645.90037791138520.181483118
0.64203231.0692263136639.99025941
0.614226584.65128303134694.635927689
0.624249698.09569449132676.823005232
0.634272559.35646013130569.356894851
0.644295150.81554052128344.424162272
0.654317447.66089165125947.00142066
0.664339417.21887689123316.226371645
0.674361019.64202141120398.625611214
0.684382210.12887916117158.38590572
0.694402942.53759414113589.073089789
0.74423173.9196739109714.634246052
0.714442869.23913068105598.420616055
0.724462005.44485046101332.632180813
0.734480574.1871632197038.2092218404
0.744498582.8099716692816.850440083
0.754516053.7362235888764.5751608656
0.764533022.8740102284945.2592577555
0.774549538.0698000581396.6243795432
0.784565658.8356216178133.8682994236
0.794581458.5800754575176.9650661487
0.84597030.4770478872562.4026121085
0.814612498.0459155470377.7266151866
0.824628031.5329585568771.2314010695
0.834643871.0489521567970.7570240402
0.844660356.5110296768309.0475685404
0.854677961.7924909570244.4933353621
0.864697325.1775336974394.514925912
0.874719260.1815162181433.1000394091
0.884744721.978498991898.8317815669
0.894774700.08873777105792.19064795
0.94810015.72564255122189.265294189
0.914851031.20820112138916.917361755
0.924897333.07270515152597.07308679
0.934947519.36715017159174.460360371
0.944999268.28624974155117.509016611
0.955049820.07470219139103.043881321
0.965096783.13365215113647.567849339
0.975138770.6262143285982.5396885261
0.985175057.8274239467118.8792260005
0.995203954.1961495764211.2518036624

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2751969.76296332 & 116496.374787323 \tabularnewline
0.02 & 2797002.22046182 & 96462.5735391607 \tabularnewline
0.03 & 2843418.14193533 & 81500.3906337316 \tabularnewline
0.04 & 2884875.38018732 & 75047.7593972984 \tabularnewline
0.05 & 2920668.57839269 & 75264.7814658998 \tabularnewline
0.06 & 2952378.50833486 & 78508.0663413339 \tabularnewline
0.07 & 2981603.10741668 & 81849.4293996074 \tabularnewline
0.08 & 3009214.18472726 & 83663.9235826001 \tabularnewline
0.09 & 3035438.52069516 & 83374.6014580934 \tabularnewline
0.1 & 3060163.26155154 & 81113.6459941699 \tabularnewline
0.11 & 3083197.69538434 & 77414.0136792177 \tabularnewline
0.12 & 3104429.61251979 & 73008.7991994954 \tabularnewline
0.13 & 3123891.87208095 & 68696.2310792716 \tabularnewline
0.14 & 3141769.81716229 & 65228.0910427849 \tabularnewline
0.15 & 3158375.45484708 & 63212.1466935979 \tabularnewline
0.16 & 3174106.58034248 & 63061.896504171 \tabularnewline
0.17 & 3189402.5722364 & 64952.5741705182 \tabularnewline
0.18 & 3204703.7371185 & 68831.5423657704 \tabularnewline
0.19 & 3220417.51610217 & 74475.3043602836 \tabularnewline
0.2 & 3236892.45861953 & 81554.774782765 \tabularnewline
0.21 & 3254399.6045187 & 89654.6295007659 \tabularnewline
0.22 & 3273120.63871752 & 98302.0386939555 \tabularnewline
0.23 & 3293142.5101561 & 106999.842342031 \tabularnewline
0.24 & 3314458.63746378 & 115258.214430165 \tabularnewline
0.25 & 3336976.93636857 & 122644.897801709 \tabularnewline
0.26 & 3360534.51041983 & 128811.752761759 \tabularnewline
0.27 & 3384918.02991953 & 133544.37780057 \tabularnewline
0.28 & 3409887.8629353 & 136789.262519381 \tabularnewline
0.29 & 3435203.25624395 & 138630.849737417 \tabularnewline
0.3 & 3460645.55981724 & 139293.370807303 \tabularnewline
0.31 & 3486036.75652556 & 139087.615417779 \tabularnewline
0.32 & 3511251.33694589 & 138380.071133282 \tabularnewline
0.33 & 3536220.65439644 & 137530.927067371 \tabularnewline
0.34 & 3560930.05704921 & 136854.350461609 \tabularnewline
0.35 & 3585410.08945771 & 136576.608227986 \tabularnewline
0.36 & 3609723.72394308 & 136835.233880744 \tabularnewline
0.37 & 3633951.85562399 & 137654.601310612 \tabularnewline
0.38 & 3658179.1928975 & 138974.126004897 \tabularnewline
0.39 & 3682482.27889236 & 140672.177624359 \tabularnewline
0.4 & 3706920.80063585 & 142574.96009141 \tabularnewline
0.41 & 3731532.69748835 & 144517.045903119 \tabularnewline
0.42 & 3756332.97130817 & 146343.011191857 \tabularnewline
0.43 & 3781315.60708761 & 147928.742231275 \tabularnewline
0.44 & 3806457.68623067 & 149194.412233131 \tabularnewline
0.45 & 3831724.63788164 & 150109.032366965 \tabularnewline
0.46 & 3857075.62030109 & 150673.863015803 \tabularnewline
0.47 & 3882468.220977 & 150912.056251897 \tabularnewline
0.48 & 3907861.9568975 & 150867.160847446 \tabularnewline
0.49 & 3933220.38030594 & 150581.445890332 \tabularnewline
0.5 & 3958511.88723032 & 150082.414658909 \tabularnewline
0.51 & 3983709.5372113 & 149408.09646091 \tabularnewline
0.52 & 4008790.29686526 & 148561.306258667 \tabularnewline
0.53 & 4033734.11655032 & 147551.639589723 \tabularnewline
0.54 & 4058523.15940196 & 146388.898022992 \tabularnewline
0.55 & 4083141.35956222 & 145075.390664982 \tabularnewline
0.56 & 4107574.32929602 & 143614.156790554 \tabularnewline
0.57 & 4131809.49629323 & 142022.531546478 \tabularnewline
0.58 & 4155836.25758405 & 140318.185298936 \tabularnewline
0.59 & 4179645.90037791 & 138520.181483118 \tabularnewline
0.6 & 4203231.0692263 & 136639.99025941 \tabularnewline
0.61 & 4226584.65128303 & 134694.635927689 \tabularnewline
0.62 & 4249698.09569449 & 132676.823005232 \tabularnewline
0.63 & 4272559.35646013 & 130569.356894851 \tabularnewline
0.64 & 4295150.81554052 & 128344.424162272 \tabularnewline
0.65 & 4317447.66089165 & 125947.00142066 \tabularnewline
0.66 & 4339417.21887689 & 123316.226371645 \tabularnewline
0.67 & 4361019.64202141 & 120398.625611214 \tabularnewline
0.68 & 4382210.12887916 & 117158.38590572 \tabularnewline
0.69 & 4402942.53759414 & 113589.073089789 \tabularnewline
0.7 & 4423173.9196739 & 109714.634246052 \tabularnewline
0.71 & 4442869.23913068 & 105598.420616055 \tabularnewline
0.72 & 4462005.44485046 & 101332.632180813 \tabularnewline
0.73 & 4480574.18716321 & 97038.2092218404 \tabularnewline
0.74 & 4498582.80997166 & 92816.850440083 \tabularnewline
0.75 & 4516053.73622358 & 88764.5751608656 \tabularnewline
0.76 & 4533022.87401022 & 84945.2592577555 \tabularnewline
0.77 & 4549538.06980005 & 81396.6243795432 \tabularnewline
0.78 & 4565658.83562161 & 78133.8682994236 \tabularnewline
0.79 & 4581458.58007545 & 75176.9650661487 \tabularnewline
0.8 & 4597030.47704788 & 72562.4026121085 \tabularnewline
0.81 & 4612498.04591554 & 70377.7266151866 \tabularnewline
0.82 & 4628031.53295855 & 68771.2314010695 \tabularnewline
0.83 & 4643871.04895215 & 67970.7570240402 \tabularnewline
0.84 & 4660356.51102967 & 68309.0475685404 \tabularnewline
0.85 & 4677961.79249095 & 70244.4933353621 \tabularnewline
0.86 & 4697325.17753369 & 74394.514925912 \tabularnewline
0.87 & 4719260.18151621 & 81433.1000394091 \tabularnewline
0.88 & 4744721.9784989 & 91898.8317815669 \tabularnewline
0.89 & 4774700.08873777 & 105792.19064795 \tabularnewline
0.9 & 4810015.72564255 & 122189.265294189 \tabularnewline
0.91 & 4851031.20820112 & 138916.917361755 \tabularnewline
0.92 & 4897333.07270515 & 152597.07308679 \tabularnewline
0.93 & 4947519.36715017 & 159174.460360371 \tabularnewline
0.94 & 4999268.28624974 & 155117.509016611 \tabularnewline
0.95 & 5049820.07470219 & 139103.043881321 \tabularnewline
0.96 & 5096783.13365215 & 113647.567849339 \tabularnewline
0.97 & 5138770.62621432 & 85982.5396885261 \tabularnewline
0.98 & 5175057.82742394 & 67118.8792260005 \tabularnewline
0.99 & 5203954.19614957 & 64211.2518036624 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233876&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]2751969.76296332[/C][C]116496.374787323[/C][/ROW]
[ROW][C]0.02[/C][C]2797002.22046182[/C][C]96462.5735391607[/C][/ROW]
[ROW][C]0.03[/C][C]2843418.14193533[/C][C]81500.3906337316[/C][/ROW]
[ROW][C]0.04[/C][C]2884875.38018732[/C][C]75047.7593972984[/C][/ROW]
[ROW][C]0.05[/C][C]2920668.57839269[/C][C]75264.7814658998[/C][/ROW]
[ROW][C]0.06[/C][C]2952378.50833486[/C][C]78508.0663413339[/C][/ROW]
[ROW][C]0.07[/C][C]2981603.10741668[/C][C]81849.4293996074[/C][/ROW]
[ROW][C]0.08[/C][C]3009214.18472726[/C][C]83663.9235826001[/C][/ROW]
[ROW][C]0.09[/C][C]3035438.52069516[/C][C]83374.6014580934[/C][/ROW]
[ROW][C]0.1[/C][C]3060163.26155154[/C][C]81113.6459941699[/C][/ROW]
[ROW][C]0.11[/C][C]3083197.69538434[/C][C]77414.0136792177[/C][/ROW]
[ROW][C]0.12[/C][C]3104429.61251979[/C][C]73008.7991994954[/C][/ROW]
[ROW][C]0.13[/C][C]3123891.87208095[/C][C]68696.2310792716[/C][/ROW]
[ROW][C]0.14[/C][C]3141769.81716229[/C][C]65228.0910427849[/C][/ROW]
[ROW][C]0.15[/C][C]3158375.45484708[/C][C]63212.1466935979[/C][/ROW]
[ROW][C]0.16[/C][C]3174106.58034248[/C][C]63061.896504171[/C][/ROW]
[ROW][C]0.17[/C][C]3189402.5722364[/C][C]64952.5741705182[/C][/ROW]
[ROW][C]0.18[/C][C]3204703.7371185[/C][C]68831.5423657704[/C][/ROW]
[ROW][C]0.19[/C][C]3220417.51610217[/C][C]74475.3043602836[/C][/ROW]
[ROW][C]0.2[/C][C]3236892.45861953[/C][C]81554.774782765[/C][/ROW]
[ROW][C]0.21[/C][C]3254399.6045187[/C][C]89654.6295007659[/C][/ROW]
[ROW][C]0.22[/C][C]3273120.63871752[/C][C]98302.0386939555[/C][/ROW]
[ROW][C]0.23[/C][C]3293142.5101561[/C][C]106999.842342031[/C][/ROW]
[ROW][C]0.24[/C][C]3314458.63746378[/C][C]115258.214430165[/C][/ROW]
[ROW][C]0.25[/C][C]3336976.93636857[/C][C]122644.897801709[/C][/ROW]
[ROW][C]0.26[/C][C]3360534.51041983[/C][C]128811.752761759[/C][/ROW]
[ROW][C]0.27[/C][C]3384918.02991953[/C][C]133544.37780057[/C][/ROW]
[ROW][C]0.28[/C][C]3409887.8629353[/C][C]136789.262519381[/C][/ROW]
[ROW][C]0.29[/C][C]3435203.25624395[/C][C]138630.849737417[/C][/ROW]
[ROW][C]0.3[/C][C]3460645.55981724[/C][C]139293.370807303[/C][/ROW]
[ROW][C]0.31[/C][C]3486036.75652556[/C][C]139087.615417779[/C][/ROW]
[ROW][C]0.32[/C][C]3511251.33694589[/C][C]138380.071133282[/C][/ROW]
[ROW][C]0.33[/C][C]3536220.65439644[/C][C]137530.927067371[/C][/ROW]
[ROW][C]0.34[/C][C]3560930.05704921[/C][C]136854.350461609[/C][/ROW]
[ROW][C]0.35[/C][C]3585410.08945771[/C][C]136576.608227986[/C][/ROW]
[ROW][C]0.36[/C][C]3609723.72394308[/C][C]136835.233880744[/C][/ROW]
[ROW][C]0.37[/C][C]3633951.85562399[/C][C]137654.601310612[/C][/ROW]
[ROW][C]0.38[/C][C]3658179.1928975[/C][C]138974.126004897[/C][/ROW]
[ROW][C]0.39[/C][C]3682482.27889236[/C][C]140672.177624359[/C][/ROW]
[ROW][C]0.4[/C][C]3706920.80063585[/C][C]142574.96009141[/C][/ROW]
[ROW][C]0.41[/C][C]3731532.69748835[/C][C]144517.045903119[/C][/ROW]
[ROW][C]0.42[/C][C]3756332.97130817[/C][C]146343.011191857[/C][/ROW]
[ROW][C]0.43[/C][C]3781315.60708761[/C][C]147928.742231275[/C][/ROW]
[ROW][C]0.44[/C][C]3806457.68623067[/C][C]149194.412233131[/C][/ROW]
[ROW][C]0.45[/C][C]3831724.63788164[/C][C]150109.032366965[/C][/ROW]
[ROW][C]0.46[/C][C]3857075.62030109[/C][C]150673.863015803[/C][/ROW]
[ROW][C]0.47[/C][C]3882468.220977[/C][C]150912.056251897[/C][/ROW]
[ROW][C]0.48[/C][C]3907861.9568975[/C][C]150867.160847446[/C][/ROW]
[ROW][C]0.49[/C][C]3933220.38030594[/C][C]150581.445890332[/C][/ROW]
[ROW][C]0.5[/C][C]3958511.88723032[/C][C]150082.414658909[/C][/ROW]
[ROW][C]0.51[/C][C]3983709.5372113[/C][C]149408.09646091[/C][/ROW]
[ROW][C]0.52[/C][C]4008790.29686526[/C][C]148561.306258667[/C][/ROW]
[ROW][C]0.53[/C][C]4033734.11655032[/C][C]147551.639589723[/C][/ROW]
[ROW][C]0.54[/C][C]4058523.15940196[/C][C]146388.898022992[/C][/ROW]
[ROW][C]0.55[/C][C]4083141.35956222[/C][C]145075.390664982[/C][/ROW]
[ROW][C]0.56[/C][C]4107574.32929602[/C][C]143614.156790554[/C][/ROW]
[ROW][C]0.57[/C][C]4131809.49629323[/C][C]142022.531546478[/C][/ROW]
[ROW][C]0.58[/C][C]4155836.25758405[/C][C]140318.185298936[/C][/ROW]
[ROW][C]0.59[/C][C]4179645.90037791[/C][C]138520.181483118[/C][/ROW]
[ROW][C]0.6[/C][C]4203231.0692263[/C][C]136639.99025941[/C][/ROW]
[ROW][C]0.61[/C][C]4226584.65128303[/C][C]134694.635927689[/C][/ROW]
[ROW][C]0.62[/C][C]4249698.09569449[/C][C]132676.823005232[/C][/ROW]
[ROW][C]0.63[/C][C]4272559.35646013[/C][C]130569.356894851[/C][/ROW]
[ROW][C]0.64[/C][C]4295150.81554052[/C][C]128344.424162272[/C][/ROW]
[ROW][C]0.65[/C][C]4317447.66089165[/C][C]125947.00142066[/C][/ROW]
[ROW][C]0.66[/C][C]4339417.21887689[/C][C]123316.226371645[/C][/ROW]
[ROW][C]0.67[/C][C]4361019.64202141[/C][C]120398.625611214[/C][/ROW]
[ROW][C]0.68[/C][C]4382210.12887916[/C][C]117158.38590572[/C][/ROW]
[ROW][C]0.69[/C][C]4402942.53759414[/C][C]113589.073089789[/C][/ROW]
[ROW][C]0.7[/C][C]4423173.9196739[/C][C]109714.634246052[/C][/ROW]
[ROW][C]0.71[/C][C]4442869.23913068[/C][C]105598.420616055[/C][/ROW]
[ROW][C]0.72[/C][C]4462005.44485046[/C][C]101332.632180813[/C][/ROW]
[ROW][C]0.73[/C][C]4480574.18716321[/C][C]97038.2092218404[/C][/ROW]
[ROW][C]0.74[/C][C]4498582.80997166[/C][C]92816.850440083[/C][/ROW]
[ROW][C]0.75[/C][C]4516053.73622358[/C][C]88764.5751608656[/C][/ROW]
[ROW][C]0.76[/C][C]4533022.87401022[/C][C]84945.2592577555[/C][/ROW]
[ROW][C]0.77[/C][C]4549538.06980005[/C][C]81396.6243795432[/C][/ROW]
[ROW][C]0.78[/C][C]4565658.83562161[/C][C]78133.8682994236[/C][/ROW]
[ROW][C]0.79[/C][C]4581458.58007545[/C][C]75176.9650661487[/C][/ROW]
[ROW][C]0.8[/C][C]4597030.47704788[/C][C]72562.4026121085[/C][/ROW]
[ROW][C]0.81[/C][C]4612498.04591554[/C][C]70377.7266151866[/C][/ROW]
[ROW][C]0.82[/C][C]4628031.53295855[/C][C]68771.2314010695[/C][/ROW]
[ROW][C]0.83[/C][C]4643871.04895215[/C][C]67970.7570240402[/C][/ROW]
[ROW][C]0.84[/C][C]4660356.51102967[/C][C]68309.0475685404[/C][/ROW]
[ROW][C]0.85[/C][C]4677961.79249095[/C][C]70244.4933353621[/C][/ROW]
[ROW][C]0.86[/C][C]4697325.17753369[/C][C]74394.514925912[/C][/ROW]
[ROW][C]0.87[/C][C]4719260.18151621[/C][C]81433.1000394091[/C][/ROW]
[ROW][C]0.88[/C][C]4744721.9784989[/C][C]91898.8317815669[/C][/ROW]
[ROW][C]0.89[/C][C]4774700.08873777[/C][C]105792.19064795[/C][/ROW]
[ROW][C]0.9[/C][C]4810015.72564255[/C][C]122189.265294189[/C][/ROW]
[ROW][C]0.91[/C][C]4851031.20820112[/C][C]138916.917361755[/C][/ROW]
[ROW][C]0.92[/C][C]4897333.07270515[/C][C]152597.07308679[/C][/ROW]
[ROW][C]0.93[/C][C]4947519.36715017[/C][C]159174.460360371[/C][/ROW]
[ROW][C]0.94[/C][C]4999268.28624974[/C][C]155117.509016611[/C][/ROW]
[ROW][C]0.95[/C][C]5049820.07470219[/C][C]139103.043881321[/C][/ROW]
[ROW][C]0.96[/C][C]5096783.13365215[/C][C]113647.567849339[/C][/ROW]
[ROW][C]0.97[/C][C]5138770.62621432[/C][C]85982.5396885261[/C][/ROW]
[ROW][C]0.98[/C][C]5175057.82742394[/C][C]67118.8792260005[/C][/ROW]
[ROW][C]0.99[/C][C]5203954.19614957[/C][C]64211.2518036624[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233876&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233876&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
0.012751969.76296332116496.374787323
0.022797002.2204618296462.5735391607
0.032843418.1419353381500.3906337316
0.042884875.3801873275047.7593972984
0.052920668.5783926975264.7814658998
0.062952378.5083348678508.0663413339
0.072981603.1074166881849.4293996074
0.083009214.1847272683663.9235826001
0.093035438.5206951683374.6014580934
0.13060163.2615515481113.6459941699
0.113083197.6953843477414.0136792177
0.123104429.6125197973008.7991994954
0.133123891.8720809568696.2310792716
0.143141769.8171622965228.0910427849
0.153158375.4548470863212.1466935979
0.163174106.5803424863061.896504171
0.173189402.572236464952.5741705182
0.183204703.737118568831.5423657704
0.193220417.5161021774475.3043602836
0.23236892.4586195381554.774782765
0.213254399.604518789654.6295007659
0.223273120.6387175298302.0386939555
0.233293142.5101561106999.842342031
0.243314458.63746378115258.214430165
0.253336976.93636857122644.897801709
0.263360534.51041983128811.752761759
0.273384918.02991953133544.37780057
0.283409887.8629353136789.262519381
0.293435203.25624395138630.849737417
0.33460645.55981724139293.370807303
0.313486036.75652556139087.615417779
0.323511251.33694589138380.071133282
0.333536220.65439644137530.927067371
0.343560930.05704921136854.350461609
0.353585410.08945771136576.608227986
0.363609723.72394308136835.233880744
0.373633951.85562399137654.601310612
0.383658179.1928975138974.126004897
0.393682482.27889236140672.177624359
0.43706920.80063585142574.96009141
0.413731532.69748835144517.045903119
0.423756332.97130817146343.011191857
0.433781315.60708761147928.742231275
0.443806457.68623067149194.412233131
0.453831724.63788164150109.032366965
0.463857075.62030109150673.863015803
0.473882468.220977150912.056251897
0.483907861.9568975150867.160847446
0.493933220.38030594150581.445890332
0.53958511.88723032150082.414658909
0.513983709.5372113149408.09646091
0.524008790.29686526148561.306258667
0.534033734.11655032147551.639589723
0.544058523.15940196146388.898022992
0.554083141.35956222145075.390664982
0.564107574.32929602143614.156790554
0.574131809.49629323142022.531546478
0.584155836.25758405140318.185298936
0.594179645.90037791138520.181483118
0.64203231.0692263136639.99025941
0.614226584.65128303134694.635927689
0.624249698.09569449132676.823005232
0.634272559.35646013130569.356894851
0.644295150.81554052128344.424162272
0.654317447.66089165125947.00142066
0.664339417.21887689123316.226371645
0.674361019.64202141120398.625611214
0.684382210.12887916117158.38590572
0.694402942.53759414113589.073089789
0.74423173.9196739109714.634246052
0.714442869.23913068105598.420616055
0.724462005.44485046101332.632180813
0.734480574.1871632197038.2092218404
0.744498582.8099716692816.850440083
0.754516053.7362235888764.5751608656
0.764533022.8740102284945.2592577555
0.774549538.0698000581396.6243795432
0.784565658.8356216178133.8682994236
0.794581458.5800754575176.9650661487
0.84597030.4770478872562.4026121085
0.814612498.0459155470377.7266151866
0.824628031.5329585568771.2314010695
0.834643871.0489521567970.7570240402
0.844660356.5110296768309.0475685404
0.854677961.7924909570244.4933353621
0.864697325.1775336974394.514925912
0.874719260.1815162181433.1000394091
0.884744721.978498991898.8317815669
0.894774700.08873777105792.19064795
0.94810015.72564255122189.265294189
0.914851031.20820112138916.917361755
0.924897333.07270515152597.07308679
0.934947519.36715017159174.460360371
0.944999268.28624974155117.509016611
0.955049820.07470219139103.043881321
0.965096783.13365215113647.567849339
0.975138770.6262143285982.5396885261
0.985175057.8274239467118.8792260005
0.995203954.1961495764211.2518036624


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')