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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, 05 Oct 2014 20:12:24 +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/2014/Oct/05/t1412536361xhud2xuw6b1cm6v.htm/, Retrieved Sat, 11 May 2024 11:28:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238889, Retrieved Sat, 11 May 2024 11:28:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact97

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] [] [2014-10-05 19:12:24] [0c3693ead1e3fa463b40b3108c1b2028] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11236
10954
9580
10337
8961
10372
12782
15119
19940
13957
10849
9429
11816
11329
11334
9898
8961
10783
13149
16244
20067
13601
10573
8623
10962
11911
11677
9679
9116
11394
13240
18983
21545
14360
11839
9726
12347
12624
11918
10028
10228
11026
13878
22165
23533
13445
12164
9606
12177
13142
11210
9485
10082
10680
13579
21709
22205
14687
11222
8196
12794
12627
11080
10425
10865
10771
14771
20993
23882
14825
11648
10091

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238889&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238889&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238889&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.018331.09974114472382.368358689343
0.028527.67746402453331.202169920952
0.038719.29692727537286.677633351782
0.048880.23995322691260.673045342304
0.059013.04208453947255.470128702224
0.069127.43331370733259.622172183589
0.079230.35088402778260.2985678443
0.089324.652728285252.879272817761
0.099411.01091990399240.06831179025
0.19489.82080350666227.494199358837
0.119562.09923408599219.853289055252
0.129629.47643993591218.88793979785
0.139693.75961919119223.552467479224
0.149756.4875767252231.388872234082
0.159818.6856143842239.965731235839
0.169880.8445307041247.569164108099
0.179943.04874376759253.503879328267
0.1810005.1567444291257.752358600528
0.1910066.9593530355260.814043784863
0.210128.2780138269263.203738278307
0.2110188.9983468326265.268036746668
0.2210249.0553714662267.091392105297
0.2310308.3951694053268.47075647179
0.2410366.9360995195269.009806763217
0.2510424.5452976891268.302530571752
0.2610481.0371106559266.063926494246
0.2710536.1921627176262.120503219529
0.2810589.7903940565256.607895569151
0.2910641.648990801249.864157470654
0.310691.6563156786242.416274843351
0.3110739.795067472234.891013692704
0.3210786.1511279864227.954221525168
0.3310830.9080477216222.11663018005
0.3410874.3300974189217.850064265096
0.3510916.7386825487215.389039448126
0.3610958.4873921817214.768162625134
0.3710999.9400996966215.969131317079
0.3811041.4547422871218.916515287254
0.3911083.3732773743223.458224535877
0.411126.0164800963229.53190394309
0.4111169.6812015017237.037715152487
0.4211214.637678632245.87860652061
0.4311261.1253830385255.915841711152
0.4411309.3473404682266.929394323614
0.4511359.4643148526278.614927303947
0.4611411.5911886169290.644709743635
0.4711465.7979205666302.703060285109
0.4811522.1165416377314.54343920423
0.4911580.553999342326.054527734145
0.511641.10878231337.251250698712
0.5111703.7877523941348.254649882978
0.5211768.6190057314359.367625771034
0.5311835.6571450856370.766511125073
0.5411904.97899491382.665770773828
0.5511976.6701155354395.058654417627
0.5612050.8048484393407.805774012529
0.5712127.4244021776420.560913206792
0.5812206.5181935544432.890939288262
0.5912288.0131303389444.339782672309
0.612371.7739513821454.457256577744
0.6112457.6155938985462.984107242905
0.6212545.3264159584469.814743735598
0.6312634.6994686485475.038009755426
0.6412725.568166531478.957146703715
0.6512817.8426529412482.073762409548
0.6612911.5437018049485.001141908687
0.6713006.83190943488.517038150476
0.6813104.0311396186493.444722399349
0.6913203.6469104926500.696059311965
0.713306.3830990404511.164264794562
0.7113413.1643607984525.752931965161
0.7213525.1767634453545.423638370579
0.7313643.9437878315571.304071260899
0.7413771.4558269765604.985418984277
0.7513910.3639253013648.952612619225
0.7614064.2280096352706.967016240687
0.7714237.7742539794784.318519130157
0.7814437.0698564686887.381988413377
0.7914669.48018621891022.14264892085
0.814943.25617523081191.83149922356
0.8115266.63585204461394.25269489661
0.8215646.45118151791619.6450436065
0.8316086.40311567471850.04230088499
0.8416585.36017367022060.65126260218
0.8517136.17111131352223.63781016336
0.8617725.4745839022313.65988883927
0.8718334.79047351272313.92557211413
0.8818942.82470527282220.79392264543
0.8919528.5450841172045.2160597615
0.920074.37600892781810.12089172605
0.9120568.95103032041545.10276915972
0.9221009.20960632531280.83710722295
0.9321401.90268287981046.15837024742
0.9421764.218759415869.512741064821
0.9522121.8674457042779.177534794791
0.9622501.2758793625780.666915704212
0.9722913.2280600732810.972402398591
0.9823331.7668394398750.089181491916
0.9923684.5827091306541.549699309666

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 8331.09974114472 & 382.368358689343 \tabularnewline
0.02 & 8527.67746402453 & 331.202169920952 \tabularnewline
0.03 & 8719.29692727537 & 286.677633351782 \tabularnewline
0.04 & 8880.23995322691 & 260.673045342304 \tabularnewline
0.05 & 9013.04208453947 & 255.470128702224 \tabularnewline
0.06 & 9127.43331370733 & 259.622172183589 \tabularnewline
0.07 & 9230.35088402778 & 260.2985678443 \tabularnewline
0.08 & 9324.652728285 & 252.879272817761 \tabularnewline
0.09 & 9411.01091990399 & 240.06831179025 \tabularnewline
0.1 & 9489.82080350666 & 227.494199358837 \tabularnewline
0.11 & 9562.09923408599 & 219.853289055252 \tabularnewline
0.12 & 9629.47643993591 & 218.88793979785 \tabularnewline
0.13 & 9693.75961919119 & 223.552467479224 \tabularnewline
0.14 & 9756.4875767252 & 231.388872234082 \tabularnewline
0.15 & 9818.6856143842 & 239.965731235839 \tabularnewline
0.16 & 9880.8445307041 & 247.569164108099 \tabularnewline
0.17 & 9943.04874376759 & 253.503879328267 \tabularnewline
0.18 & 10005.1567444291 & 257.752358600528 \tabularnewline
0.19 & 10066.9593530355 & 260.814043784863 \tabularnewline
0.2 & 10128.2780138269 & 263.203738278307 \tabularnewline
0.21 & 10188.9983468326 & 265.268036746668 \tabularnewline
0.22 & 10249.0553714662 & 267.091392105297 \tabularnewline
0.23 & 10308.3951694053 & 268.47075647179 \tabularnewline
0.24 & 10366.9360995195 & 269.009806763217 \tabularnewline
0.25 & 10424.5452976891 & 268.302530571752 \tabularnewline
0.26 & 10481.0371106559 & 266.063926494246 \tabularnewline
0.27 & 10536.1921627176 & 262.120503219529 \tabularnewline
0.28 & 10589.7903940565 & 256.607895569151 \tabularnewline
0.29 & 10641.648990801 & 249.864157470654 \tabularnewline
0.3 & 10691.6563156786 & 242.416274843351 \tabularnewline
0.31 & 10739.795067472 & 234.891013692704 \tabularnewline
0.32 & 10786.1511279864 & 227.954221525168 \tabularnewline
0.33 & 10830.9080477216 & 222.11663018005 \tabularnewline
0.34 & 10874.3300974189 & 217.850064265096 \tabularnewline
0.35 & 10916.7386825487 & 215.389039448126 \tabularnewline
0.36 & 10958.4873921817 & 214.768162625134 \tabularnewline
0.37 & 10999.9400996966 & 215.969131317079 \tabularnewline
0.38 & 11041.4547422871 & 218.916515287254 \tabularnewline
0.39 & 11083.3732773743 & 223.458224535877 \tabularnewline
0.4 & 11126.0164800963 & 229.53190394309 \tabularnewline
0.41 & 11169.6812015017 & 237.037715152487 \tabularnewline
0.42 & 11214.637678632 & 245.87860652061 \tabularnewline
0.43 & 11261.1253830385 & 255.915841711152 \tabularnewline
0.44 & 11309.3473404682 & 266.929394323614 \tabularnewline
0.45 & 11359.4643148526 & 278.614927303947 \tabularnewline
0.46 & 11411.5911886169 & 290.644709743635 \tabularnewline
0.47 & 11465.7979205666 & 302.703060285109 \tabularnewline
0.48 & 11522.1165416377 & 314.54343920423 \tabularnewline
0.49 & 11580.553999342 & 326.054527734145 \tabularnewline
0.5 & 11641.10878231 & 337.251250698712 \tabularnewline
0.51 & 11703.7877523941 & 348.254649882978 \tabularnewline
0.52 & 11768.6190057314 & 359.367625771034 \tabularnewline
0.53 & 11835.6571450856 & 370.766511125073 \tabularnewline
0.54 & 11904.97899491 & 382.665770773828 \tabularnewline
0.55 & 11976.6701155354 & 395.058654417627 \tabularnewline
0.56 & 12050.8048484393 & 407.805774012529 \tabularnewline
0.57 & 12127.4244021776 & 420.560913206792 \tabularnewline
0.58 & 12206.5181935544 & 432.890939288262 \tabularnewline
0.59 & 12288.0131303389 & 444.339782672309 \tabularnewline
0.6 & 12371.7739513821 & 454.457256577744 \tabularnewline
0.61 & 12457.6155938985 & 462.984107242905 \tabularnewline
0.62 & 12545.3264159584 & 469.814743735598 \tabularnewline
0.63 & 12634.6994686485 & 475.038009755426 \tabularnewline
0.64 & 12725.568166531 & 478.957146703715 \tabularnewline
0.65 & 12817.8426529412 & 482.073762409548 \tabularnewline
0.66 & 12911.5437018049 & 485.001141908687 \tabularnewline
0.67 & 13006.83190943 & 488.517038150476 \tabularnewline
0.68 & 13104.0311396186 & 493.444722399349 \tabularnewline
0.69 & 13203.6469104926 & 500.696059311965 \tabularnewline
0.7 & 13306.3830990404 & 511.164264794562 \tabularnewline
0.71 & 13413.1643607984 & 525.752931965161 \tabularnewline
0.72 & 13525.1767634453 & 545.423638370579 \tabularnewline
0.73 & 13643.9437878315 & 571.304071260899 \tabularnewline
0.74 & 13771.4558269765 & 604.985418984277 \tabularnewline
0.75 & 13910.3639253013 & 648.952612619225 \tabularnewline
0.76 & 14064.2280096352 & 706.967016240687 \tabularnewline
0.77 & 14237.7742539794 & 784.318519130157 \tabularnewline
0.78 & 14437.0698564686 & 887.381988413377 \tabularnewline
0.79 & 14669.4801862189 & 1022.14264892085 \tabularnewline
0.8 & 14943.2561752308 & 1191.83149922356 \tabularnewline
0.81 & 15266.6358520446 & 1394.25269489661 \tabularnewline
0.82 & 15646.4511815179 & 1619.6450436065 \tabularnewline
0.83 & 16086.4031156747 & 1850.04230088499 \tabularnewline
0.84 & 16585.3601736702 & 2060.65126260218 \tabularnewline
0.85 & 17136.1711113135 & 2223.63781016336 \tabularnewline
0.86 & 17725.474583902 & 2313.65988883927 \tabularnewline
0.87 & 18334.7904735127 & 2313.92557211413 \tabularnewline
0.88 & 18942.8247052728 & 2220.79392264543 \tabularnewline
0.89 & 19528.545084117 & 2045.2160597615 \tabularnewline
0.9 & 20074.3760089278 & 1810.12089172605 \tabularnewline
0.91 & 20568.9510303204 & 1545.10276915972 \tabularnewline
0.92 & 21009.2096063253 & 1280.83710722295 \tabularnewline
0.93 & 21401.9026828798 & 1046.15837024742 \tabularnewline
0.94 & 21764.218759415 & 869.512741064821 \tabularnewline
0.95 & 22121.8674457042 & 779.177534794791 \tabularnewline
0.96 & 22501.2758793625 & 780.666915704212 \tabularnewline
0.97 & 22913.2280600732 & 810.972402398591 \tabularnewline
0.98 & 23331.7668394398 & 750.089181491916 \tabularnewline
0.99 & 23684.5827091306 & 541.549699309666 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238889&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]8331.09974114472[/C][C]382.368358689343[/C][/ROW]
[ROW][C]0.02[/C][C]8527.67746402453[/C][C]331.202169920952[/C][/ROW]
[ROW][C]0.03[/C][C]8719.29692727537[/C][C]286.677633351782[/C][/ROW]
[ROW][C]0.04[/C][C]8880.23995322691[/C][C]260.673045342304[/C][/ROW]
[ROW][C]0.05[/C][C]9013.04208453947[/C][C]255.470128702224[/C][/ROW]
[ROW][C]0.06[/C][C]9127.43331370733[/C][C]259.622172183589[/C][/ROW]
[ROW][C]0.07[/C][C]9230.35088402778[/C][C]260.2985678443[/C][/ROW]
[ROW][C]0.08[/C][C]9324.652728285[/C][C]252.879272817761[/C][/ROW]
[ROW][C]0.09[/C][C]9411.01091990399[/C][C]240.06831179025[/C][/ROW]
[ROW][C]0.1[/C][C]9489.82080350666[/C][C]227.494199358837[/C][/ROW]
[ROW][C]0.11[/C][C]9562.09923408599[/C][C]219.853289055252[/C][/ROW]
[ROW][C]0.12[/C][C]9629.47643993591[/C][C]218.88793979785[/C][/ROW]
[ROW][C]0.13[/C][C]9693.75961919119[/C][C]223.552467479224[/C][/ROW]
[ROW][C]0.14[/C][C]9756.4875767252[/C][C]231.388872234082[/C][/ROW]
[ROW][C]0.15[/C][C]9818.6856143842[/C][C]239.965731235839[/C][/ROW]
[ROW][C]0.16[/C][C]9880.8445307041[/C][C]247.569164108099[/C][/ROW]
[ROW][C]0.17[/C][C]9943.04874376759[/C][C]253.503879328267[/C][/ROW]
[ROW][C]0.18[/C][C]10005.1567444291[/C][C]257.752358600528[/C][/ROW]
[ROW][C]0.19[/C][C]10066.9593530355[/C][C]260.814043784863[/C][/ROW]
[ROW][C]0.2[/C][C]10128.2780138269[/C][C]263.203738278307[/C][/ROW]
[ROW][C]0.21[/C][C]10188.9983468326[/C][C]265.268036746668[/C][/ROW]
[ROW][C]0.22[/C][C]10249.0553714662[/C][C]267.091392105297[/C][/ROW]
[ROW][C]0.23[/C][C]10308.3951694053[/C][C]268.47075647179[/C][/ROW]
[ROW][C]0.24[/C][C]10366.9360995195[/C][C]269.009806763217[/C][/ROW]
[ROW][C]0.25[/C][C]10424.5452976891[/C][C]268.302530571752[/C][/ROW]
[ROW][C]0.26[/C][C]10481.0371106559[/C][C]266.063926494246[/C][/ROW]
[ROW][C]0.27[/C][C]10536.1921627176[/C][C]262.120503219529[/C][/ROW]
[ROW][C]0.28[/C][C]10589.7903940565[/C][C]256.607895569151[/C][/ROW]
[ROW][C]0.29[/C][C]10641.648990801[/C][C]249.864157470654[/C][/ROW]
[ROW][C]0.3[/C][C]10691.6563156786[/C][C]242.416274843351[/C][/ROW]
[ROW][C]0.31[/C][C]10739.795067472[/C][C]234.891013692704[/C][/ROW]
[ROW][C]0.32[/C][C]10786.1511279864[/C][C]227.954221525168[/C][/ROW]
[ROW][C]0.33[/C][C]10830.9080477216[/C][C]222.11663018005[/C][/ROW]
[ROW][C]0.34[/C][C]10874.3300974189[/C][C]217.850064265096[/C][/ROW]
[ROW][C]0.35[/C][C]10916.7386825487[/C][C]215.389039448126[/C][/ROW]
[ROW][C]0.36[/C][C]10958.4873921817[/C][C]214.768162625134[/C][/ROW]
[ROW][C]0.37[/C][C]10999.9400996966[/C][C]215.969131317079[/C][/ROW]
[ROW][C]0.38[/C][C]11041.4547422871[/C][C]218.916515287254[/C][/ROW]
[ROW][C]0.39[/C][C]11083.3732773743[/C][C]223.458224535877[/C][/ROW]
[ROW][C]0.4[/C][C]11126.0164800963[/C][C]229.53190394309[/C][/ROW]
[ROW][C]0.41[/C][C]11169.6812015017[/C][C]237.037715152487[/C][/ROW]
[ROW][C]0.42[/C][C]11214.637678632[/C][C]245.87860652061[/C][/ROW]
[ROW][C]0.43[/C][C]11261.1253830385[/C][C]255.915841711152[/C][/ROW]
[ROW][C]0.44[/C][C]11309.3473404682[/C][C]266.929394323614[/C][/ROW]
[ROW][C]0.45[/C][C]11359.4643148526[/C][C]278.614927303947[/C][/ROW]
[ROW][C]0.46[/C][C]11411.5911886169[/C][C]290.644709743635[/C][/ROW]
[ROW][C]0.47[/C][C]11465.7979205666[/C][C]302.703060285109[/C][/ROW]
[ROW][C]0.48[/C][C]11522.1165416377[/C][C]314.54343920423[/C][/ROW]
[ROW][C]0.49[/C][C]11580.553999342[/C][C]326.054527734145[/C][/ROW]
[ROW][C]0.5[/C][C]11641.10878231[/C][C]337.251250698712[/C][/ROW]
[ROW][C]0.51[/C][C]11703.7877523941[/C][C]348.254649882978[/C][/ROW]
[ROW][C]0.52[/C][C]11768.6190057314[/C][C]359.367625771034[/C][/ROW]
[ROW][C]0.53[/C][C]11835.6571450856[/C][C]370.766511125073[/C][/ROW]
[ROW][C]0.54[/C][C]11904.97899491[/C][C]382.665770773828[/C][/ROW]
[ROW][C]0.55[/C][C]11976.6701155354[/C][C]395.058654417627[/C][/ROW]
[ROW][C]0.56[/C][C]12050.8048484393[/C][C]407.805774012529[/C][/ROW]
[ROW][C]0.57[/C][C]12127.4244021776[/C][C]420.560913206792[/C][/ROW]
[ROW][C]0.58[/C][C]12206.5181935544[/C][C]432.890939288262[/C][/ROW]
[ROW][C]0.59[/C][C]12288.0131303389[/C][C]444.339782672309[/C][/ROW]
[ROW][C]0.6[/C][C]12371.7739513821[/C][C]454.457256577744[/C][/ROW]
[ROW][C]0.61[/C][C]12457.6155938985[/C][C]462.984107242905[/C][/ROW]
[ROW][C]0.62[/C][C]12545.3264159584[/C][C]469.814743735598[/C][/ROW]
[ROW][C]0.63[/C][C]12634.6994686485[/C][C]475.038009755426[/C][/ROW]
[ROW][C]0.64[/C][C]12725.568166531[/C][C]478.957146703715[/C][/ROW]
[ROW][C]0.65[/C][C]12817.8426529412[/C][C]482.073762409548[/C][/ROW]
[ROW][C]0.66[/C][C]12911.5437018049[/C][C]485.001141908687[/C][/ROW]
[ROW][C]0.67[/C][C]13006.83190943[/C][C]488.517038150476[/C][/ROW]
[ROW][C]0.68[/C][C]13104.0311396186[/C][C]493.444722399349[/C][/ROW]
[ROW][C]0.69[/C][C]13203.6469104926[/C][C]500.696059311965[/C][/ROW]
[ROW][C]0.7[/C][C]13306.3830990404[/C][C]511.164264794562[/C][/ROW]
[ROW][C]0.71[/C][C]13413.1643607984[/C][C]525.752931965161[/C][/ROW]
[ROW][C]0.72[/C][C]13525.1767634453[/C][C]545.423638370579[/C][/ROW]
[ROW][C]0.73[/C][C]13643.9437878315[/C][C]571.304071260899[/C][/ROW]
[ROW][C]0.74[/C][C]13771.4558269765[/C][C]604.985418984277[/C][/ROW]
[ROW][C]0.75[/C][C]13910.3639253013[/C][C]648.952612619225[/C][/ROW]
[ROW][C]0.76[/C][C]14064.2280096352[/C][C]706.967016240687[/C][/ROW]
[ROW][C]0.77[/C][C]14237.7742539794[/C][C]784.318519130157[/C][/ROW]
[ROW][C]0.78[/C][C]14437.0698564686[/C][C]887.381988413377[/C][/ROW]
[ROW][C]0.79[/C][C]14669.4801862189[/C][C]1022.14264892085[/C][/ROW]
[ROW][C]0.8[/C][C]14943.2561752308[/C][C]1191.83149922356[/C][/ROW]
[ROW][C]0.81[/C][C]15266.6358520446[/C][C]1394.25269489661[/C][/ROW]
[ROW][C]0.82[/C][C]15646.4511815179[/C][C]1619.6450436065[/C][/ROW]
[ROW][C]0.83[/C][C]16086.4031156747[/C][C]1850.04230088499[/C][/ROW]
[ROW][C]0.84[/C][C]16585.3601736702[/C][C]2060.65126260218[/C][/ROW]
[ROW][C]0.85[/C][C]17136.1711113135[/C][C]2223.63781016336[/C][/ROW]
[ROW][C]0.86[/C][C]17725.474583902[/C][C]2313.65988883927[/C][/ROW]
[ROW][C]0.87[/C][C]18334.7904735127[/C][C]2313.92557211413[/C][/ROW]
[ROW][C]0.88[/C][C]18942.8247052728[/C][C]2220.79392264543[/C][/ROW]
[ROW][C]0.89[/C][C]19528.545084117[/C][C]2045.2160597615[/C][/ROW]
[ROW][C]0.9[/C][C]20074.3760089278[/C][C]1810.12089172605[/C][/ROW]
[ROW][C]0.91[/C][C]20568.9510303204[/C][C]1545.10276915972[/C][/ROW]
[ROW][C]0.92[/C][C]21009.2096063253[/C][C]1280.83710722295[/C][/ROW]
[ROW][C]0.93[/C][C]21401.9026828798[/C][C]1046.15837024742[/C][/ROW]
[ROW][C]0.94[/C][C]21764.218759415[/C][C]869.512741064821[/C][/ROW]
[ROW][C]0.95[/C][C]22121.8674457042[/C][C]779.177534794791[/C][/ROW]
[ROW][C]0.96[/C][C]22501.2758793625[/C][C]780.666915704212[/C][/ROW]
[ROW][C]0.97[/C][C]22913.2280600732[/C][C]810.972402398591[/C][/ROW]
[ROW][C]0.98[/C][C]23331.7668394398[/C][C]750.089181491916[/C][/ROW]
[ROW][C]0.99[/C][C]23684.5827091306[/C][C]541.549699309666[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238889&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238889&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
0.018331.09974114472382.368358689343
0.028527.67746402453331.202169920952
0.038719.29692727537286.677633351782
0.048880.23995322691260.673045342304
0.059013.04208453947255.470128702224
0.069127.43331370733259.622172183589
0.079230.35088402778260.2985678443
0.089324.652728285252.879272817761
0.099411.01091990399240.06831179025
0.19489.82080350666227.494199358837
0.119562.09923408599219.853289055252
0.129629.47643993591218.88793979785
0.139693.75961919119223.552467479224
0.149756.4875767252231.388872234082
0.159818.6856143842239.965731235839
0.169880.8445307041247.569164108099
0.179943.04874376759253.503879328267
0.1810005.1567444291257.752358600528
0.1910066.9593530355260.814043784863
0.210128.2780138269263.203738278307
0.2110188.9983468326265.268036746668
0.2210249.0553714662267.091392105297
0.2310308.3951694053268.47075647179
0.2410366.9360995195269.009806763217
0.2510424.5452976891268.302530571752
0.2610481.0371106559266.063926494246
0.2710536.1921627176262.120503219529
0.2810589.7903940565256.607895569151
0.2910641.648990801249.864157470654
0.310691.6563156786242.416274843351
0.3110739.795067472234.891013692704
0.3210786.1511279864227.954221525168
0.3310830.9080477216222.11663018005
0.3410874.3300974189217.850064265096
0.3510916.7386825487215.389039448126
0.3610958.4873921817214.768162625134
0.3710999.9400996966215.969131317079
0.3811041.4547422871218.916515287254
0.3911083.3732773743223.458224535877
0.411126.0164800963229.53190394309
0.4111169.6812015017237.037715152487
0.4211214.637678632245.87860652061
0.4311261.1253830385255.915841711152
0.4411309.3473404682266.929394323614
0.4511359.4643148526278.614927303947
0.4611411.5911886169290.644709743635
0.4711465.7979205666302.703060285109
0.4811522.1165416377314.54343920423
0.4911580.553999342326.054527734145
0.511641.10878231337.251250698712
0.5111703.7877523941348.254649882978
0.5211768.6190057314359.367625771034
0.5311835.6571450856370.766511125073
0.5411904.97899491382.665770773828
0.5511976.6701155354395.058654417627
0.5612050.8048484393407.805774012529
0.5712127.4244021776420.560913206792
0.5812206.5181935544432.890939288262
0.5912288.0131303389444.339782672309
0.612371.7739513821454.457256577744
0.6112457.6155938985462.984107242905
0.6212545.3264159584469.814743735598
0.6312634.6994686485475.038009755426
0.6412725.568166531478.957146703715
0.6512817.8426529412482.073762409548
0.6612911.5437018049485.001141908687
0.6713006.83190943488.517038150476
0.6813104.0311396186493.444722399349
0.6913203.6469104926500.696059311965
0.713306.3830990404511.164264794562
0.7113413.1643607984525.752931965161
0.7213525.1767634453545.423638370579
0.7313643.9437878315571.304071260899
0.7413771.4558269765604.985418984277
0.7513910.3639253013648.952612619225
0.7614064.2280096352706.967016240687
0.7714237.7742539794784.318519130157
0.7814437.0698564686887.381988413377
0.7914669.48018621891022.14264892085
0.814943.25617523081191.83149922356
0.8115266.63585204461394.25269489661
0.8215646.45118151791619.6450436065
0.8316086.40311567471850.04230088499
0.8416585.36017367022060.65126260218
0.8517136.17111131352223.63781016336
0.8617725.4745839022313.65988883927
0.8718334.79047351272313.92557211413
0.8818942.82470527282220.79392264543
0.8919528.5450841172045.2160597615
0.920074.37600892781810.12089172605
0.9120568.95103032041545.10276915972
0.9221009.20960632531280.83710722295
0.9321401.90268287981046.15837024742
0.9421764.218759415869.512741064821
0.9522121.8674457042779.177534794791
0.9622501.2758793625780.666915704212
0.9722913.2280600732810.972402398591
0.9823331.7668394398750.089181491916
0.9923684.5827091306541.549699309666


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')