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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, 05 Oct 2016 19:29:04 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/05/t1475692168bzwy4euq4cs1mig.htm/, Retrieved Sun, 05 May 2024 16:28:21 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 05 May 2024 16:28:21 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
28886
28549
33348
29017
30924
30435
29431
30290
31286
30622
31742
30391
30740
32086
33947
31312
33239
32362
32170
32665
31412
34891
33919
30706
32846
31368
33130
31665
33139
32201
32230
30287
31918
33853
32232
31484
31902
30260
32823
32018
32100
31952
33274
29491
32751
33643
31226
30976
28880
29325
34923
32642
31487
33832
32724
29545
32338
32743
32231
32536

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0128619.4423904927272.222779588086
0.0228720.1201995193212.862329126825
0.0328824.2890754434184.923265525364
0.0428921.6915512924197.95197955393
0.0529014.0876513197231.58006138329
0.0629106.2063239819267.096004684049
0.0729201.0314223764297.944999661258
0.0829299.3062746886324.685878263266
0.0929400.5807043121349.673561928084
0.129504.0659890145373.541062111707
0.1129608.8939156826394.386958589206
0.1229714.0339110546409.030677326938
0.1329818.2009715878414.864626885954
0.1429919.9225567276410.908336217028
0.1530017.7563488053398.358554859611
0.1630110.5562539126379.96666782424
0.1730197.6762949031359.348880293833
0.1830279.0472900071339.986721184023
0.1930355.1197896187324.465394376594
0.230426.7107740506314.104136526962
0.2130494.8100577996308.875912558433
0.2230560.3978748443307.880306916838
0.2330624.3074274431309.728214108428
0.2430687.1456164209312.910331626195
0.2530749.2688489083316.118911242598
0.2630810.8015467852318.361488721934
0.2730871.6821651256318.916959339496
0.2830931.7228895705317.389137506021
0.2930990.6722734394313.668107112169
0.331048.2732017236308.046366453167
0.3131104.3110013442300.92122976005
0.3231158.6482674243292.954748461781
0.3331211.2443969717284.821758849632
0.3431262.1592560781277.268511420473
0.3531311.5419884317270.90091190223
0.3631359.6075961686266.049865474283
0.3731406.6053267928262.910833840301
0.3831452.7837912744261.297124858988
0.3931498.3579136209260.794108278143
0.431543.4822198673260.917885783062
0.4131588.2337283581261.005427232442
0.4231632.6060473879260.459818852092
0.4331676.5145319888258.800580866408
0.4431719.8108063742255.682228184551
0.4531762.3038639681250.946201869984
0.4631803.7844468928244.625573639229
0.4731844.0494910704236.841021508257
0.4831882.9239972937227.895777506803
0.4931920.2785657915218.158201706785
0.531956.0417883818208.079843608226
0.5131990.2075182733198.020341565654
0.5232022.8375807182188.467220862257
0.5332054.0606829121179.755026917969
0.5432084.068159571172.327125457415
0.5532113.1068653005166.477826463011
0.5632141.4691616443162.530539900744
0.5732169.4797197368160.659048956708
0.5832197.4789066987160.957872585855
0.5932225.8029092087163.396037687555
0.632254.7614389878167.736474071951
0.6132284.6147330056173.566770236317
0.6232315.5524008095180.310321573957
0.6332347.6772416518187.331620059344
0.6432380.9972314132193.938467745822
0.6532415.4283124007199.500701355728
0.6632450.8093753794203.520358739156
0.6732486.929016107205.708905868411
0.6832523.5615385127206.061599765516
0.6932560.5076422806204.818243663753
0.732597.6337151597202.46063543874
0.7132634.9030754648199.750625539096
0.7232672.3931967256197.505959603617
0.7332710.2950123635196.548466748898
0.7432748.893678786197.467196904992
0.7532788.534170836200.515407825261
0.7632829.5789641526205.563853715101
0.7732872.3677541058212.1223319777
0.7832917.1895607502219.51818037975
0.7932964.2748433556227.052763679182
0.833013.8092475731234.310399023431
0.8133065.9622572127241.117476319838
0.8233120.9155443069247.747334711781
0.8333178.8705989438254.583610908586
0.8433240.0171963279262.009943882601
0.8533304.4566969312269.809581169156
0.8633372.0981756295277.060000614369
0.8733442.5783090393281.994371754828
0.8833515.2900355284282.51058960639
0.8933589.6255481133277.116047797744
0.933665.5216499277266.108491877964
0.9133744.302643348253.108134153534
0.9233829.6041148074246.839140151315
0.9333927.8179679259261.313222473455
0.9434047.1371273091308.263644441774
0.9534194.2570643151382.209812780517
0.9634368.7075736825452.44922419265
0.9734557.0272789099467.770466832639
0.9834731.7089316518381.456600199411
0.9934860.134406163201.024585752463

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 28619.4423904927 & 272.222779588086 \tabularnewline
0.02 & 28720.1201995193 & 212.862329126825 \tabularnewline
0.03 & 28824.2890754434 & 184.923265525364 \tabularnewline
0.04 & 28921.6915512924 & 197.95197955393 \tabularnewline
0.05 & 29014.0876513197 & 231.58006138329 \tabularnewline
0.06 & 29106.2063239819 & 267.096004684049 \tabularnewline
0.07 & 29201.0314223764 & 297.944999661258 \tabularnewline
0.08 & 29299.3062746886 & 324.685878263266 \tabularnewline
0.09 & 29400.5807043121 & 349.673561928084 \tabularnewline
0.1 & 29504.0659890145 & 373.541062111707 \tabularnewline
0.11 & 29608.8939156826 & 394.386958589206 \tabularnewline
0.12 & 29714.0339110546 & 409.030677326938 \tabularnewline
0.13 & 29818.2009715878 & 414.864626885954 \tabularnewline
0.14 & 29919.9225567276 & 410.908336217028 \tabularnewline
0.15 & 30017.7563488053 & 398.358554859611 \tabularnewline
0.16 & 30110.5562539126 & 379.96666782424 \tabularnewline
0.17 & 30197.6762949031 & 359.348880293833 \tabularnewline
0.18 & 30279.0472900071 & 339.986721184023 \tabularnewline
0.19 & 30355.1197896187 & 324.465394376594 \tabularnewline
0.2 & 30426.7107740506 & 314.104136526962 \tabularnewline
0.21 & 30494.8100577996 & 308.875912558433 \tabularnewline
0.22 & 30560.3978748443 & 307.880306916838 \tabularnewline
0.23 & 30624.3074274431 & 309.728214108428 \tabularnewline
0.24 & 30687.1456164209 & 312.910331626195 \tabularnewline
0.25 & 30749.2688489083 & 316.118911242598 \tabularnewline
0.26 & 30810.8015467852 & 318.361488721934 \tabularnewline
0.27 & 30871.6821651256 & 318.916959339496 \tabularnewline
0.28 & 30931.7228895705 & 317.389137506021 \tabularnewline
0.29 & 30990.6722734394 & 313.668107112169 \tabularnewline
0.3 & 31048.2732017236 & 308.046366453167 \tabularnewline
0.31 & 31104.3110013442 & 300.92122976005 \tabularnewline
0.32 & 31158.6482674243 & 292.954748461781 \tabularnewline
0.33 & 31211.2443969717 & 284.821758849632 \tabularnewline
0.34 & 31262.1592560781 & 277.268511420473 \tabularnewline
0.35 & 31311.5419884317 & 270.90091190223 \tabularnewline
0.36 & 31359.6075961686 & 266.049865474283 \tabularnewline
0.37 & 31406.6053267928 & 262.910833840301 \tabularnewline
0.38 & 31452.7837912744 & 261.297124858988 \tabularnewline
0.39 & 31498.3579136209 & 260.794108278143 \tabularnewline
0.4 & 31543.4822198673 & 260.917885783062 \tabularnewline
0.41 & 31588.2337283581 & 261.005427232442 \tabularnewline
0.42 & 31632.6060473879 & 260.459818852092 \tabularnewline
0.43 & 31676.5145319888 & 258.800580866408 \tabularnewline
0.44 & 31719.8108063742 & 255.682228184551 \tabularnewline
0.45 & 31762.3038639681 & 250.946201869984 \tabularnewline
0.46 & 31803.7844468928 & 244.625573639229 \tabularnewline
0.47 & 31844.0494910704 & 236.841021508257 \tabularnewline
0.48 & 31882.9239972937 & 227.895777506803 \tabularnewline
0.49 & 31920.2785657915 & 218.158201706785 \tabularnewline
0.5 & 31956.0417883818 & 208.079843608226 \tabularnewline
0.51 & 31990.2075182733 & 198.020341565654 \tabularnewline
0.52 & 32022.8375807182 & 188.467220862257 \tabularnewline
0.53 & 32054.0606829121 & 179.755026917969 \tabularnewline
0.54 & 32084.068159571 & 172.327125457415 \tabularnewline
0.55 & 32113.1068653005 & 166.477826463011 \tabularnewline
0.56 & 32141.4691616443 & 162.530539900744 \tabularnewline
0.57 & 32169.4797197368 & 160.659048956708 \tabularnewline
0.58 & 32197.4789066987 & 160.957872585855 \tabularnewline
0.59 & 32225.8029092087 & 163.396037687555 \tabularnewline
0.6 & 32254.7614389878 & 167.736474071951 \tabularnewline
0.61 & 32284.6147330056 & 173.566770236317 \tabularnewline
0.62 & 32315.5524008095 & 180.310321573957 \tabularnewline
0.63 & 32347.6772416518 & 187.331620059344 \tabularnewline
0.64 & 32380.9972314132 & 193.938467745822 \tabularnewline
0.65 & 32415.4283124007 & 199.500701355728 \tabularnewline
0.66 & 32450.8093753794 & 203.520358739156 \tabularnewline
0.67 & 32486.929016107 & 205.708905868411 \tabularnewline
0.68 & 32523.5615385127 & 206.061599765516 \tabularnewline
0.69 & 32560.5076422806 & 204.818243663753 \tabularnewline
0.7 & 32597.6337151597 & 202.46063543874 \tabularnewline
0.71 & 32634.9030754648 & 199.750625539096 \tabularnewline
0.72 & 32672.3931967256 & 197.505959603617 \tabularnewline
0.73 & 32710.2950123635 & 196.548466748898 \tabularnewline
0.74 & 32748.893678786 & 197.467196904992 \tabularnewline
0.75 & 32788.534170836 & 200.515407825261 \tabularnewline
0.76 & 32829.5789641526 & 205.563853715101 \tabularnewline
0.77 & 32872.3677541058 & 212.1223319777 \tabularnewline
0.78 & 32917.1895607502 & 219.51818037975 \tabularnewline
0.79 & 32964.2748433556 & 227.052763679182 \tabularnewline
0.8 & 33013.8092475731 & 234.310399023431 \tabularnewline
0.81 & 33065.9622572127 & 241.117476319838 \tabularnewline
0.82 & 33120.9155443069 & 247.747334711781 \tabularnewline
0.83 & 33178.8705989438 & 254.583610908586 \tabularnewline
0.84 & 33240.0171963279 & 262.009943882601 \tabularnewline
0.85 & 33304.4566969312 & 269.809581169156 \tabularnewline
0.86 & 33372.0981756295 & 277.060000614369 \tabularnewline
0.87 & 33442.5783090393 & 281.994371754828 \tabularnewline
0.88 & 33515.2900355284 & 282.51058960639 \tabularnewline
0.89 & 33589.6255481133 & 277.116047797744 \tabularnewline
0.9 & 33665.5216499277 & 266.108491877964 \tabularnewline
0.91 & 33744.302643348 & 253.108134153534 \tabularnewline
0.92 & 33829.6041148074 & 246.839140151315 \tabularnewline
0.93 & 33927.8179679259 & 261.313222473455 \tabularnewline
0.94 & 34047.1371273091 & 308.263644441774 \tabularnewline
0.95 & 34194.2570643151 & 382.209812780517 \tabularnewline
0.96 & 34368.7075736825 & 452.44922419265 \tabularnewline
0.97 & 34557.0272789099 & 467.770466832639 \tabularnewline
0.98 & 34731.7089316518 & 381.456600199411 \tabularnewline
0.99 & 34860.134406163 & 201.024585752463 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]28619.4423904927[/C][C]272.222779588086[/C][/ROW]
[ROW][C]0.02[/C][C]28720.1201995193[/C][C]212.862329126825[/C][/ROW]
[ROW][C]0.03[/C][C]28824.2890754434[/C][C]184.923265525364[/C][/ROW]
[ROW][C]0.04[/C][C]28921.6915512924[/C][C]197.95197955393[/C][/ROW]
[ROW][C]0.05[/C][C]29014.0876513197[/C][C]231.58006138329[/C][/ROW]
[ROW][C]0.06[/C][C]29106.2063239819[/C][C]267.096004684049[/C][/ROW]
[ROW][C]0.07[/C][C]29201.0314223764[/C][C]297.944999661258[/C][/ROW]
[ROW][C]0.08[/C][C]29299.3062746886[/C][C]324.685878263266[/C][/ROW]
[ROW][C]0.09[/C][C]29400.5807043121[/C][C]349.673561928084[/C][/ROW]
[ROW][C]0.1[/C][C]29504.0659890145[/C][C]373.541062111707[/C][/ROW]
[ROW][C]0.11[/C][C]29608.8939156826[/C][C]394.386958589206[/C][/ROW]
[ROW][C]0.12[/C][C]29714.0339110546[/C][C]409.030677326938[/C][/ROW]
[ROW][C]0.13[/C][C]29818.2009715878[/C][C]414.864626885954[/C][/ROW]
[ROW][C]0.14[/C][C]29919.9225567276[/C][C]410.908336217028[/C][/ROW]
[ROW][C]0.15[/C][C]30017.7563488053[/C][C]398.358554859611[/C][/ROW]
[ROW][C]0.16[/C][C]30110.5562539126[/C][C]379.96666782424[/C][/ROW]
[ROW][C]0.17[/C][C]30197.6762949031[/C][C]359.348880293833[/C][/ROW]
[ROW][C]0.18[/C][C]30279.0472900071[/C][C]339.986721184023[/C][/ROW]
[ROW][C]0.19[/C][C]30355.1197896187[/C][C]324.465394376594[/C][/ROW]
[ROW][C]0.2[/C][C]30426.7107740506[/C][C]314.104136526962[/C][/ROW]
[ROW][C]0.21[/C][C]30494.8100577996[/C][C]308.875912558433[/C][/ROW]
[ROW][C]0.22[/C][C]30560.3978748443[/C][C]307.880306916838[/C][/ROW]
[ROW][C]0.23[/C][C]30624.3074274431[/C][C]309.728214108428[/C][/ROW]
[ROW][C]0.24[/C][C]30687.1456164209[/C][C]312.910331626195[/C][/ROW]
[ROW][C]0.25[/C][C]30749.2688489083[/C][C]316.118911242598[/C][/ROW]
[ROW][C]0.26[/C][C]30810.8015467852[/C][C]318.361488721934[/C][/ROW]
[ROW][C]0.27[/C][C]30871.6821651256[/C][C]318.916959339496[/C][/ROW]
[ROW][C]0.28[/C][C]30931.7228895705[/C][C]317.389137506021[/C][/ROW]
[ROW][C]0.29[/C][C]30990.6722734394[/C][C]313.668107112169[/C][/ROW]
[ROW][C]0.3[/C][C]31048.2732017236[/C][C]308.046366453167[/C][/ROW]
[ROW][C]0.31[/C][C]31104.3110013442[/C][C]300.92122976005[/C][/ROW]
[ROW][C]0.32[/C][C]31158.6482674243[/C][C]292.954748461781[/C][/ROW]
[ROW][C]0.33[/C][C]31211.2443969717[/C][C]284.821758849632[/C][/ROW]
[ROW][C]0.34[/C][C]31262.1592560781[/C][C]277.268511420473[/C][/ROW]
[ROW][C]0.35[/C][C]31311.5419884317[/C][C]270.90091190223[/C][/ROW]
[ROW][C]0.36[/C][C]31359.6075961686[/C][C]266.049865474283[/C][/ROW]
[ROW][C]0.37[/C][C]31406.6053267928[/C][C]262.910833840301[/C][/ROW]
[ROW][C]0.38[/C][C]31452.7837912744[/C][C]261.297124858988[/C][/ROW]
[ROW][C]0.39[/C][C]31498.3579136209[/C][C]260.794108278143[/C][/ROW]
[ROW][C]0.4[/C][C]31543.4822198673[/C][C]260.917885783062[/C][/ROW]
[ROW][C]0.41[/C][C]31588.2337283581[/C][C]261.005427232442[/C][/ROW]
[ROW][C]0.42[/C][C]31632.6060473879[/C][C]260.459818852092[/C][/ROW]
[ROW][C]0.43[/C][C]31676.5145319888[/C][C]258.800580866408[/C][/ROW]
[ROW][C]0.44[/C][C]31719.8108063742[/C][C]255.682228184551[/C][/ROW]
[ROW][C]0.45[/C][C]31762.3038639681[/C][C]250.946201869984[/C][/ROW]
[ROW][C]0.46[/C][C]31803.7844468928[/C][C]244.625573639229[/C][/ROW]
[ROW][C]0.47[/C][C]31844.0494910704[/C][C]236.841021508257[/C][/ROW]
[ROW][C]0.48[/C][C]31882.9239972937[/C][C]227.895777506803[/C][/ROW]
[ROW][C]0.49[/C][C]31920.2785657915[/C][C]218.158201706785[/C][/ROW]
[ROW][C]0.5[/C][C]31956.0417883818[/C][C]208.079843608226[/C][/ROW]
[ROW][C]0.51[/C][C]31990.2075182733[/C][C]198.020341565654[/C][/ROW]
[ROW][C]0.52[/C][C]32022.8375807182[/C][C]188.467220862257[/C][/ROW]
[ROW][C]0.53[/C][C]32054.0606829121[/C][C]179.755026917969[/C][/ROW]
[ROW][C]0.54[/C][C]32084.068159571[/C][C]172.327125457415[/C][/ROW]
[ROW][C]0.55[/C][C]32113.1068653005[/C][C]166.477826463011[/C][/ROW]
[ROW][C]0.56[/C][C]32141.4691616443[/C][C]162.530539900744[/C][/ROW]
[ROW][C]0.57[/C][C]32169.4797197368[/C][C]160.659048956708[/C][/ROW]
[ROW][C]0.58[/C][C]32197.4789066987[/C][C]160.957872585855[/C][/ROW]
[ROW][C]0.59[/C][C]32225.8029092087[/C][C]163.396037687555[/C][/ROW]
[ROW][C]0.6[/C][C]32254.7614389878[/C][C]167.736474071951[/C][/ROW]
[ROW][C]0.61[/C][C]32284.6147330056[/C][C]173.566770236317[/C][/ROW]
[ROW][C]0.62[/C][C]32315.5524008095[/C][C]180.310321573957[/C][/ROW]
[ROW][C]0.63[/C][C]32347.6772416518[/C][C]187.331620059344[/C][/ROW]
[ROW][C]0.64[/C][C]32380.9972314132[/C][C]193.938467745822[/C][/ROW]
[ROW][C]0.65[/C][C]32415.4283124007[/C][C]199.500701355728[/C][/ROW]
[ROW][C]0.66[/C][C]32450.8093753794[/C][C]203.520358739156[/C][/ROW]
[ROW][C]0.67[/C][C]32486.929016107[/C][C]205.708905868411[/C][/ROW]
[ROW][C]0.68[/C][C]32523.5615385127[/C][C]206.061599765516[/C][/ROW]
[ROW][C]0.69[/C][C]32560.5076422806[/C][C]204.818243663753[/C][/ROW]
[ROW][C]0.7[/C][C]32597.6337151597[/C][C]202.46063543874[/C][/ROW]
[ROW][C]0.71[/C][C]32634.9030754648[/C][C]199.750625539096[/C][/ROW]
[ROW][C]0.72[/C][C]32672.3931967256[/C][C]197.505959603617[/C][/ROW]
[ROW][C]0.73[/C][C]32710.2950123635[/C][C]196.548466748898[/C][/ROW]
[ROW][C]0.74[/C][C]32748.893678786[/C][C]197.467196904992[/C][/ROW]
[ROW][C]0.75[/C][C]32788.534170836[/C][C]200.515407825261[/C][/ROW]
[ROW][C]0.76[/C][C]32829.5789641526[/C][C]205.563853715101[/C][/ROW]
[ROW][C]0.77[/C][C]32872.3677541058[/C][C]212.1223319777[/C][/ROW]
[ROW][C]0.78[/C][C]32917.1895607502[/C][C]219.51818037975[/C][/ROW]
[ROW][C]0.79[/C][C]32964.2748433556[/C][C]227.052763679182[/C][/ROW]
[ROW][C]0.8[/C][C]33013.8092475731[/C][C]234.310399023431[/C][/ROW]
[ROW][C]0.81[/C][C]33065.9622572127[/C][C]241.117476319838[/C][/ROW]
[ROW][C]0.82[/C][C]33120.9155443069[/C][C]247.747334711781[/C][/ROW]
[ROW][C]0.83[/C][C]33178.8705989438[/C][C]254.583610908586[/C][/ROW]
[ROW][C]0.84[/C][C]33240.0171963279[/C][C]262.009943882601[/C][/ROW]
[ROW][C]0.85[/C][C]33304.4566969312[/C][C]269.809581169156[/C][/ROW]
[ROW][C]0.86[/C][C]33372.0981756295[/C][C]277.060000614369[/C][/ROW]
[ROW][C]0.87[/C][C]33442.5783090393[/C][C]281.994371754828[/C][/ROW]
[ROW][C]0.88[/C][C]33515.2900355284[/C][C]282.51058960639[/C][/ROW]
[ROW][C]0.89[/C][C]33589.6255481133[/C][C]277.116047797744[/C][/ROW]
[ROW][C]0.9[/C][C]33665.5216499277[/C][C]266.108491877964[/C][/ROW]
[ROW][C]0.91[/C][C]33744.302643348[/C][C]253.108134153534[/C][/ROW]
[ROW][C]0.92[/C][C]33829.6041148074[/C][C]246.839140151315[/C][/ROW]
[ROW][C]0.93[/C][C]33927.8179679259[/C][C]261.313222473455[/C][/ROW]
[ROW][C]0.94[/C][C]34047.1371273091[/C][C]308.263644441774[/C][/ROW]
[ROW][C]0.95[/C][C]34194.2570643151[/C][C]382.209812780517[/C][/ROW]
[ROW][C]0.96[/C][C]34368.7075736825[/C][C]452.44922419265[/C][/ROW]
[ROW][C]0.97[/C][C]34557.0272789099[/C][C]467.770466832639[/C][/ROW]
[ROW][C]0.98[/C][C]34731.7089316518[/C][C]381.456600199411[/C][/ROW]
[ROW][C]0.99[/C][C]34860.134406163[/C][C]201.024585752463[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0128619.4423904927272.222779588086
0.0228720.1201995193212.862329126825
0.0328824.2890754434184.923265525364
0.0428921.6915512924197.95197955393
0.0529014.0876513197231.58006138329
0.0629106.2063239819267.096004684049
0.0729201.0314223764297.944999661258
0.0829299.3062746886324.685878263266
0.0929400.5807043121349.673561928084
0.129504.0659890145373.541062111707
0.1129608.8939156826394.386958589206
0.1229714.0339110546409.030677326938
0.1329818.2009715878414.864626885954
0.1429919.9225567276410.908336217028
0.1530017.7563488053398.358554859611
0.1630110.5562539126379.96666782424
0.1730197.6762949031359.348880293833
0.1830279.0472900071339.986721184023
0.1930355.1197896187324.465394376594
0.230426.7107740506314.104136526962
0.2130494.8100577996308.875912558433
0.2230560.3978748443307.880306916838
0.2330624.3074274431309.728214108428
0.2430687.1456164209312.910331626195
0.2530749.2688489083316.118911242598
0.2630810.8015467852318.361488721934
0.2730871.6821651256318.916959339496
0.2830931.7228895705317.389137506021
0.2930990.6722734394313.668107112169
0.331048.2732017236308.046366453167
0.3131104.3110013442300.92122976005
0.3231158.6482674243292.954748461781
0.3331211.2443969717284.821758849632
0.3431262.1592560781277.268511420473
0.3531311.5419884317270.90091190223
0.3631359.6075961686266.049865474283
0.3731406.6053267928262.910833840301
0.3831452.7837912744261.297124858988
0.3931498.3579136209260.794108278143
0.431543.4822198673260.917885783062
0.4131588.2337283581261.005427232442
0.4231632.6060473879260.459818852092
0.4331676.5145319888258.800580866408
0.4431719.8108063742255.682228184551
0.4531762.3038639681250.946201869984
0.4631803.7844468928244.625573639229
0.4731844.0494910704236.841021508257
0.4831882.9239972937227.895777506803
0.4931920.2785657915218.158201706785
0.531956.0417883818208.079843608226
0.5131990.2075182733198.020341565654
0.5232022.8375807182188.467220862257
0.5332054.0606829121179.755026917969
0.5432084.068159571172.327125457415
0.5532113.1068653005166.477826463011
0.5632141.4691616443162.530539900744
0.5732169.4797197368160.659048956708
0.5832197.4789066987160.957872585855
0.5932225.8029092087163.396037687555
0.632254.7614389878167.736474071951
0.6132284.6147330056173.566770236317
0.6232315.5524008095180.310321573957
0.6332347.6772416518187.331620059344
0.6432380.9972314132193.938467745822
0.6532415.4283124007199.500701355728
0.6632450.8093753794203.520358739156
0.6732486.929016107205.708905868411
0.6832523.5615385127206.061599765516
0.6932560.5076422806204.818243663753
0.732597.6337151597202.46063543874
0.7132634.9030754648199.750625539096
0.7232672.3931967256197.505959603617
0.7332710.2950123635196.548466748898
0.7432748.893678786197.467196904992
0.7532788.534170836200.515407825261
0.7632829.5789641526205.563853715101
0.7732872.3677541058212.1223319777
0.7832917.1895607502219.51818037975
0.7932964.2748433556227.052763679182
0.833013.8092475731234.310399023431
0.8133065.9622572127241.117476319838
0.8233120.9155443069247.747334711781
0.8333178.8705989438254.583610908586
0.8433240.0171963279262.009943882601
0.8533304.4566969312269.809581169156
0.8633372.0981756295277.060000614369
0.8733442.5783090393281.994371754828
0.8833515.2900355284282.51058960639
0.8933589.6255481133277.116047797744
0.933665.5216499277266.108491877964
0.9133744.302643348253.108134153534
0.9233829.6041148074246.839140151315
0.9333927.8179679259261.313222473455
0.9434047.1371273091308.263644441774
0.9534194.2570643151382.209812780517
0.9634368.7075736825452.44922419265
0.9734557.0272789099467.770466832639
0.9834731.7089316518381.456600199411
0.9934860.134406163201.024585752463


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')