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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, 28 Dec 2014 23:19:30 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/28/t1419808786i1ha0jiamxjg8a7.htm/, Retrieved Thu, 16 May 2024 08:06:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=271624, Retrieved Thu, 16 May 2024 08:06:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact134

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] [] [2014-12-28 23:19:30] [6bc6bd52ef4ec9e5c067ef01cf67dcff] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3004
3080
3017
3114
3057
3032
3127
3050
2910
2671
2638
2672
2654
2568
2467
2419
2363
2291
2560
2527
2370
2310
2231
2367
2346
2286
2249
2226
2108
2131
2387
2358
2284
2312
2293
2576
2665
2749
2926
2886
2893
2944
3060
3045
2894
2955
2954
3243
3120
3074
3034
2981
2876
2835
2978
2881
2768
2722
2630
2753
2771
2652
2584
2501
2449
2445
2620
2579
2460
2434
2392
1037
1212
1232
1174
1158
1140
1118
1212
1207
1186
608
627
626
649
619
612
643
623
649
699
693
659
669
668
693

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271624&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271624&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271624&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 time1 seconds
R Server'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01610.5605014825275.03873220859477
0.02614.8426352250146.43373426273636
0.03619.5980478506097.55250288470511
0.04624.4917521150049.24280894226142
0.05629.73823669816211.7485303880759
0.06635.67465354107814.9433118088995
0.07642.68794945253419.4705126539854
0.08651.39817607587527.0768654114791
0.09662.86018583050439.9158325871237
0.1678.58304403743459.437933757636
0.11700.29173923696485.6005203482602
0.12729.487514294613116.500099731142
0.13766.964604641186148.574844052244
0.14812.487091259214177.553039253303
0.15864.79206171094199.921120038868
0.16921.963527043711214.322203539684
0.17982.063872406026222.3397672903
0.181043.79251292358228.284986509545
0.191106.92252458567237.916326662415
0.21172.35103705648256.167874620921
0.211241.74457942111284.852775409883
0.221316.90277876002321.75931158493
0.231399.05100246658361.554720972468
0.241488.28203677212397.479514232733
0.251583.30594834073423.028657772568
0.261681.56392129759433.36570328887
0.271779.65280314172426.258577941165
0.281873.92601462584402.374061739248
0.291961.10449167869364.872750819746
0.32038.75158405364318.528356623568
0.312105.52430479863268.618380267333
0.322161.18569475431219.944074383764
0.332206.42480534922176.126446318027
0.342242.56586010229139.352077649648
0.352271.25280405297110.433814187214
0.362294.176584890989.0901257965342
0.372312.882385608474.3185588191693
0.382328.6645357719564.7804444473049
0.392342.5357004782159.102519763245
0.42355.2467252647756.1137743373114
0.412367.3326756183654.9531444592075
0.422379.1656056616755.0235393620442
0.432391.0017395254955.9430479212363
0.442403.0173754076957.4577160041465
0.452415.3326019508459.3758801144149
0.462428.0246536969661.5374037861673
0.472441.1338829818363.7888537027984
0.482454.6655213096165.9597107017318
0.492468.5901313035867.8836386649805
0.52482.8451425427869.3894093699943
0.512497.3391614812570.3374420187627
0.522511.9598454809970.6402752908216
0.532526.5851172273770.274117414554
0.542541.0965681421869.2833837864064
0.552555.3932985075267.8009702559667
0.562569.4043228318566.0117017151349
0.572583.0980079255464.1231643795664
0.582596.4876098251362.3751990598084
0.592609.6325636895560.9880824853249
0.62622.6355575510560.1736809327984
0.612635.6355523269860.0840487696699
0.622648.7969249620160.8271453187425
0.632662.2950024256162.4188386618878
0.642676.2985569103664.7712314000567
0.652690.9503527979267.7153503006587
0.662706.3474663563670.9674942942619
0.672722.5236915160774.1943046413072
0.682739.4367666750777.0129783159974
0.692756.9632802071579.0586301513965
0.72774.9037587236280.0015712053234
0.712792.9993796131179.6123807363708
0.722810.9598167058477.8105206686226
0.732828.4990730702474.6800278011369
0.742845.3734245991570.4925727011267
0.752861.4138625397465.6571361322936
0.762876.5457378248260.6587046907785
0.772890.7910717946855.9590933130538
0.782904.2534893488651.908676589617
0.792917.0902496163848.6790505716423
0.82929.4785116767646.2607860124143
0.812941.5828024906344.5146664759185
0.822953.5282585786343.2133544341591
0.832965.3814784499642.0935803828354
0.842977.1396661807340.8818357601765
0.852988.7296896147239.3200076343293
0.863000.0203191604837.2159932268626
0.873010.8508993836734.5005755862446
0.883021.0766511816431.271198194269
0.893030.6256082338627.8245078832687
0.93039.5571572596324.6059726899844
0.913048.1078464428222.1574746617961
0.923056.7030757968920.9980497212682
0.933065.9019936454821.3928549518296
0.943076.2533640136422.9931289600418
0.953088.1705815976824.6381149829644
0.963102.333836167525.1364562707897
0.973121.5059664235626.712256787113
0.983152.6595860215841.2468733321357
0.993200.3074699919977.8340012486279

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 610.560501482527 & 5.03873220859477 \tabularnewline
0.02 & 614.842635225014 & 6.43373426273636 \tabularnewline
0.03 & 619.598047850609 & 7.55250288470511 \tabularnewline
0.04 & 624.491752115004 & 9.24280894226142 \tabularnewline
0.05 & 629.738236698162 & 11.7485303880759 \tabularnewline
0.06 & 635.674653541078 & 14.9433118088995 \tabularnewline
0.07 & 642.687949452534 & 19.4705126539854 \tabularnewline
0.08 & 651.398176075875 & 27.0768654114791 \tabularnewline
0.09 & 662.860185830504 & 39.9158325871237 \tabularnewline
0.1 & 678.583044037434 & 59.437933757636 \tabularnewline
0.11 & 700.291739236964 & 85.6005203482602 \tabularnewline
0.12 & 729.487514294613 & 116.500099731142 \tabularnewline
0.13 & 766.964604641186 & 148.574844052244 \tabularnewline
0.14 & 812.487091259214 & 177.553039253303 \tabularnewline
0.15 & 864.79206171094 & 199.921120038868 \tabularnewline
0.16 & 921.963527043711 & 214.322203539684 \tabularnewline
0.17 & 982.063872406026 & 222.3397672903 \tabularnewline
0.18 & 1043.79251292358 & 228.284986509545 \tabularnewline
0.19 & 1106.92252458567 & 237.916326662415 \tabularnewline
0.2 & 1172.35103705648 & 256.167874620921 \tabularnewline
0.21 & 1241.74457942111 & 284.852775409883 \tabularnewline
0.22 & 1316.90277876002 & 321.75931158493 \tabularnewline
0.23 & 1399.05100246658 & 361.554720972468 \tabularnewline
0.24 & 1488.28203677212 & 397.479514232733 \tabularnewline
0.25 & 1583.30594834073 & 423.028657772568 \tabularnewline
0.26 & 1681.56392129759 & 433.36570328887 \tabularnewline
0.27 & 1779.65280314172 & 426.258577941165 \tabularnewline
0.28 & 1873.92601462584 & 402.374061739248 \tabularnewline
0.29 & 1961.10449167869 & 364.872750819746 \tabularnewline
0.3 & 2038.75158405364 & 318.528356623568 \tabularnewline
0.31 & 2105.52430479863 & 268.618380267333 \tabularnewline
0.32 & 2161.18569475431 & 219.944074383764 \tabularnewline
0.33 & 2206.42480534922 & 176.126446318027 \tabularnewline
0.34 & 2242.56586010229 & 139.352077649648 \tabularnewline
0.35 & 2271.25280405297 & 110.433814187214 \tabularnewline
0.36 & 2294.1765848909 & 89.0901257965342 \tabularnewline
0.37 & 2312.8823856084 & 74.3185588191693 \tabularnewline
0.38 & 2328.66453577195 & 64.7804444473049 \tabularnewline
0.39 & 2342.53570047821 & 59.102519763245 \tabularnewline
0.4 & 2355.24672526477 & 56.1137743373114 \tabularnewline
0.41 & 2367.33267561836 & 54.9531444592075 \tabularnewline
0.42 & 2379.16560566167 & 55.0235393620442 \tabularnewline
0.43 & 2391.00173952549 & 55.9430479212363 \tabularnewline
0.44 & 2403.01737540769 & 57.4577160041465 \tabularnewline
0.45 & 2415.33260195084 & 59.3758801144149 \tabularnewline
0.46 & 2428.02465369696 & 61.5374037861673 \tabularnewline
0.47 & 2441.13388298183 & 63.7888537027984 \tabularnewline
0.48 & 2454.66552130961 & 65.9597107017318 \tabularnewline
0.49 & 2468.59013130358 & 67.8836386649805 \tabularnewline
0.5 & 2482.84514254278 & 69.3894093699943 \tabularnewline
0.51 & 2497.33916148125 & 70.3374420187627 \tabularnewline
0.52 & 2511.95984548099 & 70.6402752908216 \tabularnewline
0.53 & 2526.58511722737 & 70.274117414554 \tabularnewline
0.54 & 2541.09656814218 & 69.2833837864064 \tabularnewline
0.55 & 2555.39329850752 & 67.8009702559667 \tabularnewline
0.56 & 2569.40432283185 & 66.0117017151349 \tabularnewline
0.57 & 2583.09800792554 & 64.1231643795664 \tabularnewline
0.58 & 2596.48760982513 & 62.3751990598084 \tabularnewline
0.59 & 2609.63256368955 & 60.9880824853249 \tabularnewline
0.6 & 2622.63555755105 & 60.1736809327984 \tabularnewline
0.61 & 2635.63555232698 & 60.0840487696699 \tabularnewline
0.62 & 2648.79692496201 & 60.8271453187425 \tabularnewline
0.63 & 2662.29500242561 & 62.4188386618878 \tabularnewline
0.64 & 2676.29855691036 & 64.7712314000567 \tabularnewline
0.65 & 2690.95035279792 & 67.7153503006587 \tabularnewline
0.66 & 2706.34746635636 & 70.9674942942619 \tabularnewline
0.67 & 2722.52369151607 & 74.1943046413072 \tabularnewline
0.68 & 2739.43676667507 & 77.0129783159974 \tabularnewline
0.69 & 2756.96328020715 & 79.0586301513965 \tabularnewline
0.7 & 2774.90375872362 & 80.0015712053234 \tabularnewline
0.71 & 2792.99937961311 & 79.6123807363708 \tabularnewline
0.72 & 2810.95981670584 & 77.8105206686226 \tabularnewline
0.73 & 2828.49907307024 & 74.6800278011369 \tabularnewline
0.74 & 2845.37342459915 & 70.4925727011267 \tabularnewline
0.75 & 2861.41386253974 & 65.6571361322936 \tabularnewline
0.76 & 2876.54573782482 & 60.6587046907785 \tabularnewline
0.77 & 2890.79107179468 & 55.9590933130538 \tabularnewline
0.78 & 2904.25348934886 & 51.908676589617 \tabularnewline
0.79 & 2917.09024961638 & 48.6790505716423 \tabularnewline
0.8 & 2929.47851167676 & 46.2607860124143 \tabularnewline
0.81 & 2941.58280249063 & 44.5146664759185 \tabularnewline
0.82 & 2953.52825857863 & 43.2133544341591 \tabularnewline
0.83 & 2965.38147844996 & 42.0935803828354 \tabularnewline
0.84 & 2977.13966618073 & 40.8818357601765 \tabularnewline
0.85 & 2988.72968961472 & 39.3200076343293 \tabularnewline
0.86 & 3000.02031916048 & 37.2159932268626 \tabularnewline
0.87 & 3010.85089938367 & 34.5005755862446 \tabularnewline
0.88 & 3021.07665118164 & 31.271198194269 \tabularnewline
0.89 & 3030.62560823386 & 27.8245078832687 \tabularnewline
0.9 & 3039.55715725963 & 24.6059726899844 \tabularnewline
0.91 & 3048.10784644282 & 22.1574746617961 \tabularnewline
0.92 & 3056.70307579689 & 20.9980497212682 \tabularnewline
0.93 & 3065.90199364548 & 21.3928549518296 \tabularnewline
0.94 & 3076.25336401364 & 22.9931289600418 \tabularnewline
0.95 & 3088.17058159768 & 24.6381149829644 \tabularnewline
0.96 & 3102.3338361675 & 25.1364562707897 \tabularnewline
0.97 & 3121.50596642356 & 26.712256787113 \tabularnewline
0.98 & 3152.65958602158 & 41.2468733321357 \tabularnewline
0.99 & 3200.30746999199 & 77.8340012486279 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271624&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]610.560501482527[/C][C]5.03873220859477[/C][/ROW]
[ROW][C]0.02[/C][C]614.842635225014[/C][C]6.43373426273636[/C][/ROW]
[ROW][C]0.03[/C][C]619.598047850609[/C][C]7.55250288470511[/C][/ROW]
[ROW][C]0.04[/C][C]624.491752115004[/C][C]9.24280894226142[/C][/ROW]
[ROW][C]0.05[/C][C]629.738236698162[/C][C]11.7485303880759[/C][/ROW]
[ROW][C]0.06[/C][C]635.674653541078[/C][C]14.9433118088995[/C][/ROW]
[ROW][C]0.07[/C][C]642.687949452534[/C][C]19.4705126539854[/C][/ROW]
[ROW][C]0.08[/C][C]651.398176075875[/C][C]27.0768654114791[/C][/ROW]
[ROW][C]0.09[/C][C]662.860185830504[/C][C]39.9158325871237[/C][/ROW]
[ROW][C]0.1[/C][C]678.583044037434[/C][C]59.437933757636[/C][/ROW]
[ROW][C]0.11[/C][C]700.291739236964[/C][C]85.6005203482602[/C][/ROW]
[ROW][C]0.12[/C][C]729.487514294613[/C][C]116.500099731142[/C][/ROW]
[ROW][C]0.13[/C][C]766.964604641186[/C][C]148.574844052244[/C][/ROW]
[ROW][C]0.14[/C][C]812.487091259214[/C][C]177.553039253303[/C][/ROW]
[ROW][C]0.15[/C][C]864.79206171094[/C][C]199.921120038868[/C][/ROW]
[ROW][C]0.16[/C][C]921.963527043711[/C][C]214.322203539684[/C][/ROW]
[ROW][C]0.17[/C][C]982.063872406026[/C][C]222.3397672903[/C][/ROW]
[ROW][C]0.18[/C][C]1043.79251292358[/C][C]228.284986509545[/C][/ROW]
[ROW][C]0.19[/C][C]1106.92252458567[/C][C]237.916326662415[/C][/ROW]
[ROW][C]0.2[/C][C]1172.35103705648[/C][C]256.167874620921[/C][/ROW]
[ROW][C]0.21[/C][C]1241.74457942111[/C][C]284.852775409883[/C][/ROW]
[ROW][C]0.22[/C][C]1316.90277876002[/C][C]321.75931158493[/C][/ROW]
[ROW][C]0.23[/C][C]1399.05100246658[/C][C]361.554720972468[/C][/ROW]
[ROW][C]0.24[/C][C]1488.28203677212[/C][C]397.479514232733[/C][/ROW]
[ROW][C]0.25[/C][C]1583.30594834073[/C][C]423.028657772568[/C][/ROW]
[ROW][C]0.26[/C][C]1681.56392129759[/C][C]433.36570328887[/C][/ROW]
[ROW][C]0.27[/C][C]1779.65280314172[/C][C]426.258577941165[/C][/ROW]
[ROW][C]0.28[/C][C]1873.92601462584[/C][C]402.374061739248[/C][/ROW]
[ROW][C]0.29[/C][C]1961.10449167869[/C][C]364.872750819746[/C][/ROW]
[ROW][C]0.3[/C][C]2038.75158405364[/C][C]318.528356623568[/C][/ROW]
[ROW][C]0.31[/C][C]2105.52430479863[/C][C]268.618380267333[/C][/ROW]
[ROW][C]0.32[/C][C]2161.18569475431[/C][C]219.944074383764[/C][/ROW]
[ROW][C]0.33[/C][C]2206.42480534922[/C][C]176.126446318027[/C][/ROW]
[ROW][C]0.34[/C][C]2242.56586010229[/C][C]139.352077649648[/C][/ROW]
[ROW][C]0.35[/C][C]2271.25280405297[/C][C]110.433814187214[/C][/ROW]
[ROW][C]0.36[/C][C]2294.1765848909[/C][C]89.0901257965342[/C][/ROW]
[ROW][C]0.37[/C][C]2312.8823856084[/C][C]74.3185588191693[/C][/ROW]
[ROW][C]0.38[/C][C]2328.66453577195[/C][C]64.7804444473049[/C][/ROW]
[ROW][C]0.39[/C][C]2342.53570047821[/C][C]59.102519763245[/C][/ROW]
[ROW][C]0.4[/C][C]2355.24672526477[/C][C]56.1137743373114[/C][/ROW]
[ROW][C]0.41[/C][C]2367.33267561836[/C][C]54.9531444592075[/C][/ROW]
[ROW][C]0.42[/C][C]2379.16560566167[/C][C]55.0235393620442[/C][/ROW]
[ROW][C]0.43[/C][C]2391.00173952549[/C][C]55.9430479212363[/C][/ROW]
[ROW][C]0.44[/C][C]2403.01737540769[/C][C]57.4577160041465[/C][/ROW]
[ROW][C]0.45[/C][C]2415.33260195084[/C][C]59.3758801144149[/C][/ROW]
[ROW][C]0.46[/C][C]2428.02465369696[/C][C]61.5374037861673[/C][/ROW]
[ROW][C]0.47[/C][C]2441.13388298183[/C][C]63.7888537027984[/C][/ROW]
[ROW][C]0.48[/C][C]2454.66552130961[/C][C]65.9597107017318[/C][/ROW]
[ROW][C]0.49[/C][C]2468.59013130358[/C][C]67.8836386649805[/C][/ROW]
[ROW][C]0.5[/C][C]2482.84514254278[/C][C]69.3894093699943[/C][/ROW]
[ROW][C]0.51[/C][C]2497.33916148125[/C][C]70.3374420187627[/C][/ROW]
[ROW][C]0.52[/C][C]2511.95984548099[/C][C]70.6402752908216[/C][/ROW]
[ROW][C]0.53[/C][C]2526.58511722737[/C][C]70.274117414554[/C][/ROW]
[ROW][C]0.54[/C][C]2541.09656814218[/C][C]69.2833837864064[/C][/ROW]
[ROW][C]0.55[/C][C]2555.39329850752[/C][C]67.8009702559667[/C][/ROW]
[ROW][C]0.56[/C][C]2569.40432283185[/C][C]66.0117017151349[/C][/ROW]
[ROW][C]0.57[/C][C]2583.09800792554[/C][C]64.1231643795664[/C][/ROW]
[ROW][C]0.58[/C][C]2596.48760982513[/C][C]62.3751990598084[/C][/ROW]
[ROW][C]0.59[/C][C]2609.63256368955[/C][C]60.9880824853249[/C][/ROW]
[ROW][C]0.6[/C][C]2622.63555755105[/C][C]60.1736809327984[/C][/ROW]
[ROW][C]0.61[/C][C]2635.63555232698[/C][C]60.0840487696699[/C][/ROW]
[ROW][C]0.62[/C][C]2648.79692496201[/C][C]60.8271453187425[/C][/ROW]
[ROW][C]0.63[/C][C]2662.29500242561[/C][C]62.4188386618878[/C][/ROW]
[ROW][C]0.64[/C][C]2676.29855691036[/C][C]64.7712314000567[/C][/ROW]
[ROW][C]0.65[/C][C]2690.95035279792[/C][C]67.7153503006587[/C][/ROW]
[ROW][C]0.66[/C][C]2706.34746635636[/C][C]70.9674942942619[/C][/ROW]
[ROW][C]0.67[/C][C]2722.52369151607[/C][C]74.1943046413072[/C][/ROW]
[ROW][C]0.68[/C][C]2739.43676667507[/C][C]77.0129783159974[/C][/ROW]
[ROW][C]0.69[/C][C]2756.96328020715[/C][C]79.0586301513965[/C][/ROW]
[ROW][C]0.7[/C][C]2774.90375872362[/C][C]80.0015712053234[/C][/ROW]
[ROW][C]0.71[/C][C]2792.99937961311[/C][C]79.6123807363708[/C][/ROW]
[ROW][C]0.72[/C][C]2810.95981670584[/C][C]77.8105206686226[/C][/ROW]
[ROW][C]0.73[/C][C]2828.49907307024[/C][C]74.6800278011369[/C][/ROW]
[ROW][C]0.74[/C][C]2845.37342459915[/C][C]70.4925727011267[/C][/ROW]
[ROW][C]0.75[/C][C]2861.41386253974[/C][C]65.6571361322936[/C][/ROW]
[ROW][C]0.76[/C][C]2876.54573782482[/C][C]60.6587046907785[/C][/ROW]
[ROW][C]0.77[/C][C]2890.79107179468[/C][C]55.9590933130538[/C][/ROW]
[ROW][C]0.78[/C][C]2904.25348934886[/C][C]51.908676589617[/C][/ROW]
[ROW][C]0.79[/C][C]2917.09024961638[/C][C]48.6790505716423[/C][/ROW]
[ROW][C]0.8[/C][C]2929.47851167676[/C][C]46.2607860124143[/C][/ROW]
[ROW][C]0.81[/C][C]2941.58280249063[/C][C]44.5146664759185[/C][/ROW]
[ROW][C]0.82[/C][C]2953.52825857863[/C][C]43.2133544341591[/C][/ROW]
[ROW][C]0.83[/C][C]2965.38147844996[/C][C]42.0935803828354[/C][/ROW]
[ROW][C]0.84[/C][C]2977.13966618073[/C][C]40.8818357601765[/C][/ROW]
[ROW][C]0.85[/C][C]2988.72968961472[/C][C]39.3200076343293[/C][/ROW]
[ROW][C]0.86[/C][C]3000.02031916048[/C][C]37.2159932268626[/C][/ROW]
[ROW][C]0.87[/C][C]3010.85089938367[/C][C]34.5005755862446[/C][/ROW]
[ROW][C]0.88[/C][C]3021.07665118164[/C][C]31.271198194269[/C][/ROW]
[ROW][C]0.89[/C][C]3030.62560823386[/C][C]27.8245078832687[/C][/ROW]
[ROW][C]0.9[/C][C]3039.55715725963[/C][C]24.6059726899844[/C][/ROW]
[ROW][C]0.91[/C][C]3048.10784644282[/C][C]22.1574746617961[/C][/ROW]
[ROW][C]0.92[/C][C]3056.70307579689[/C][C]20.9980497212682[/C][/ROW]
[ROW][C]0.93[/C][C]3065.90199364548[/C][C]21.3928549518296[/C][/ROW]
[ROW][C]0.94[/C][C]3076.25336401364[/C][C]22.9931289600418[/C][/ROW]
[ROW][C]0.95[/C][C]3088.17058159768[/C][C]24.6381149829644[/C][/ROW]
[ROW][C]0.96[/C][C]3102.3338361675[/C][C]25.1364562707897[/C][/ROW]
[ROW][C]0.97[/C][C]3121.50596642356[/C][C]26.712256787113[/C][/ROW]
[ROW][C]0.98[/C][C]3152.65958602158[/C][C]41.2468733321357[/C][/ROW]
[ROW][C]0.99[/C][C]3200.30746999199[/C][C]77.8340012486279[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271624&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271624&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
0.01610.5605014825275.03873220859477
0.02614.8426352250146.43373426273636
0.03619.5980478506097.55250288470511
0.04624.4917521150049.24280894226142
0.05629.73823669816211.7485303880759
0.06635.67465354107814.9433118088995
0.07642.68794945253419.4705126539854
0.08651.39817607587527.0768654114791
0.09662.86018583050439.9158325871237
0.1678.58304403743459.437933757636
0.11700.29173923696485.6005203482602
0.12729.487514294613116.500099731142
0.13766.964604641186148.574844052244
0.14812.487091259214177.553039253303
0.15864.79206171094199.921120038868
0.16921.963527043711214.322203539684
0.17982.063872406026222.3397672903
0.181043.79251292358228.284986509545
0.191106.92252458567237.916326662415
0.21172.35103705648256.167874620921
0.211241.74457942111284.852775409883
0.221316.90277876002321.75931158493
0.231399.05100246658361.554720972468
0.241488.28203677212397.479514232733
0.251583.30594834073423.028657772568
0.261681.56392129759433.36570328887
0.271779.65280314172426.258577941165
0.281873.92601462584402.374061739248
0.291961.10449167869364.872750819746
0.32038.75158405364318.528356623568
0.312105.52430479863268.618380267333
0.322161.18569475431219.944074383764
0.332206.42480534922176.126446318027
0.342242.56586010229139.352077649648
0.352271.25280405297110.433814187214
0.362294.176584890989.0901257965342
0.372312.882385608474.3185588191693
0.382328.6645357719564.7804444473049
0.392342.5357004782159.102519763245
0.42355.2467252647756.1137743373114
0.412367.3326756183654.9531444592075
0.422379.1656056616755.0235393620442
0.432391.0017395254955.9430479212363
0.442403.0173754076957.4577160041465
0.452415.3326019508459.3758801144149
0.462428.0246536969661.5374037861673
0.472441.1338829818363.7888537027984
0.482454.6655213096165.9597107017318
0.492468.5901313035867.8836386649805
0.52482.8451425427869.3894093699943
0.512497.3391614812570.3374420187627
0.522511.9598454809970.6402752908216
0.532526.5851172273770.274117414554
0.542541.0965681421869.2833837864064
0.552555.3932985075267.8009702559667
0.562569.4043228318566.0117017151349
0.572583.0980079255464.1231643795664
0.582596.4876098251362.3751990598084
0.592609.6325636895560.9880824853249
0.62622.6355575510560.1736809327984
0.612635.6355523269860.0840487696699
0.622648.7969249620160.8271453187425
0.632662.2950024256162.4188386618878
0.642676.2985569103664.7712314000567
0.652690.9503527979267.7153503006587
0.662706.3474663563670.9674942942619
0.672722.5236915160774.1943046413072
0.682739.4367666750777.0129783159974
0.692756.9632802071579.0586301513965
0.72774.9037587236280.0015712053234
0.712792.9993796131179.6123807363708
0.722810.9598167058477.8105206686226
0.732828.4990730702474.6800278011369
0.742845.3734245991570.4925727011267
0.752861.4138625397465.6571361322936
0.762876.5457378248260.6587046907785
0.772890.7910717946855.9590933130538
0.782904.2534893488651.908676589617
0.792917.0902496163848.6790505716423
0.82929.4785116767646.2607860124143
0.812941.5828024906344.5146664759185
0.822953.5282585786343.2133544341591
0.832965.3814784499642.0935803828354
0.842977.1396661807340.8818357601765
0.852988.7296896147239.3200076343293
0.863000.0203191604837.2159932268626
0.873010.8508993836734.5005755862446
0.883021.0766511816431.271198194269
0.893030.6256082338627.8245078832687
0.93039.5571572596324.6059726899844
0.913048.1078464428222.1574746617961
0.923056.7030757968920.9980497212682
0.933065.9019936454821.3928549518296
0.943076.2533640136422.9931289600418
0.953088.1705815976824.6381149829644
0.963102.333836167525.1364562707897
0.973121.5059664235626.712256787113
0.983152.6595860215841.2468733321357
0.993200.3074699919977.8340012486279


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')