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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 16:01:42 -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/t1392584644fmdop14yb3l3jq6.htm/, Retrieved Wed, 15 May 2024 04:36:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233842, Retrieved Wed, 15 May 2024 04:36:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact54

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] [opgave 4 oefening...] [2014-02-16 21:01:42] [28ee828acec30dee1c1aebeda9b64e12] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
31124
26551
30651
25859
25100
25778
20418
18688
20424
24776
19814
12738
31566
30111
30019
31934
25826
26835
20205
17789
20520
22518
15572
11509
25447
24090
27786
26195
20516
22759
19028
16971
20036
22485
18730
14538
27561
25985
34670
32066
27186
29586
21359
21553
19573
24256
22380
16167
27297
28287
33474
28229
28785
25597
18130
20198
22849
23118
21925
20801
18785
20659
29367
23992
20645
22356
17902
15879
16963
21035
17988
10437

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233842&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233842&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233842&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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0110856.51112457441156.80142325872
0.0211564.76751743231396.16117509321
0.0312396.32077799011613.24357715996
0.0413232.50653490361682.24451277972
0.0514005.92078678091604.2818170886
0.0614683.71537121251444.50889807465
0.0715258.26144344181272.68696238305
0.0815739.36795474451132.09292250631
0.0916145.24176381281033.78907661771
0.116494.7036031621967.862220115536
0.1116802.8150490753918.983110918192
0.1217079.8495109237876.265304133966
0.1317332.2602882894835.486603842876
0.1417564.2452955904797.304540286077
0.1517779.0405047067764.59384407102
0.1617979.6387185426740.145681916687
0.1718168.9899855212725.236461373319
0.1818349.8818675561719.372319208353
0.1918524.6984357675720.356858474049
0.218695.1974519404724.931299217908
0.2118862.3789145386729.558285367862
0.2219026.4683500118730.751606865757
0.2319187.0082273812725.756344698745
0.2419343.0350891965712.699439689468
0.2519493.3119761794690.987963576074
0.2619636.581901564661.341057533774
0.2719771.8079423893625.673281854853
0.2819898.3696234909586.710994878865
0.2920016.1936838678547.784762562101
0.320125.80857407512.458020656953
0.3120228.3236379436484.075237274224
0.3220325.3434329242465.373043830242
0.3320418.8336064776458.354679550117
0.3420510.9570982233463.837815516319
0.3520603.8991413886481.417509397549
0.3620699.6979064503509.582439147235
0.3720800.0956657412545.973810829994
0.3820906.4233976614587.734722934002
0.3921019.52949717631.841506532963
0.421139.7601055311675.331684319775
0.4121266.9940164059715.710630298481
0.4221400.7291163317751.211043373639
0.4321540.2104530518780.795574027657
0.4421684.5834216866804.570724170554
0.4521833.0506267379823.40062614913
0.4621985.009032777839.080166559365
0.4722140.1458935979853.857924599185
0.4822298.4777193862870.026275089567
0.4922460.3254103846889.54143990248
0.522626.2291187091913.520847751231
0.5122796.8164473225941.976745833489
0.5222972.645341388973.810779784101
0.5323154.04704439981006.95396930523
0.5423340.99416602151038.66542720749
0.5523533.01454659921065.91956894024
0.5623729.16428667691085.8764426507
0.5723928.06455509871096.15579526966
0.5824127.99812792021095.14437477843
0.5924327.05423221541082.22965946614
0.624523.30484202451057.77709180442
0.6124714.99228148221023.24631585435
0.6224900.7067368657981.009305003153
0.6325079.5329469306934.163952116123
0.6425251.1479602141886.305994917422
0.6525415.856586802841.165733292166
0.6625574.5581305535802.196292614173
0.6725728.6468868619772.255548286907
0.6825879.8588076495752.958097052656
0.6926030.0860439782744.613570971802
0.726181.1876926858746.197966234924
0.7126334.826977737755.60347228261
0.7226492.3609990032770.2703226002
0.7326654.7990945576787.699785401422
0.7426822.8313691125805.85415810819
0.7526996.9130130178823.614102016921
0.7627177.3764384834840.61602940577
0.7727364.5356999311857.209591279288
0.7827558.748913245873.999521192146
0.7927760.4155307189891.444012325522
0.827969.9051983553909.407611132427
0.8128187.4396856115926.846751177406
0.8228412.9723854035941.973968534621
0.8328646.1222303688952.509404711659
0.8428886.2113946963956.488719732191
0.8529132.4233958001953.011505646573
0.8629384.0439709115942.682990667933
0.8729640.689512904927.666114984463
0.8829902.4006435519910.713181554296
0.8930169.524825986893.687604043653
0.930442.467464403876.004052992206
0.9130721.6521898521854.590430687723
0.9231008.3033765548826.372494925892
0.9331306.7001643365793.812490970124
0.9431627.9474642248772.276860741723
0.9531993.6723662358792.754631541628
0.9632435.2943002536881.218556444465
0.9732981.03170720221014.80022717176
0.9833621.00477965491121.93727294506
0.9934253.30793138461164.30964845068

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10856.5111245744 & 1156.80142325872 \tabularnewline
0.02 & 11564.7675174323 & 1396.16117509321 \tabularnewline
0.03 & 12396.3207779901 & 1613.24357715996 \tabularnewline
0.04 & 13232.5065349036 & 1682.24451277972 \tabularnewline
0.05 & 14005.9207867809 & 1604.2818170886 \tabularnewline
0.06 & 14683.7153712125 & 1444.50889807465 \tabularnewline
0.07 & 15258.2614434418 & 1272.68696238305 \tabularnewline
0.08 & 15739.3679547445 & 1132.09292250631 \tabularnewline
0.09 & 16145.2417638128 & 1033.78907661771 \tabularnewline
0.1 & 16494.7036031621 & 967.862220115536 \tabularnewline
0.11 & 16802.8150490753 & 918.983110918192 \tabularnewline
0.12 & 17079.8495109237 & 876.265304133966 \tabularnewline
0.13 & 17332.2602882894 & 835.486603842876 \tabularnewline
0.14 & 17564.2452955904 & 797.304540286077 \tabularnewline
0.15 & 17779.0405047067 & 764.59384407102 \tabularnewline
0.16 & 17979.6387185426 & 740.145681916687 \tabularnewline
0.17 & 18168.9899855212 & 725.236461373319 \tabularnewline
0.18 & 18349.8818675561 & 719.372319208353 \tabularnewline
0.19 & 18524.6984357675 & 720.356858474049 \tabularnewline
0.2 & 18695.1974519404 & 724.931299217908 \tabularnewline
0.21 & 18862.3789145386 & 729.558285367862 \tabularnewline
0.22 & 19026.4683500118 & 730.751606865757 \tabularnewline
0.23 & 19187.0082273812 & 725.756344698745 \tabularnewline
0.24 & 19343.0350891965 & 712.699439689468 \tabularnewline
0.25 & 19493.3119761794 & 690.987963576074 \tabularnewline
0.26 & 19636.581901564 & 661.341057533774 \tabularnewline
0.27 & 19771.8079423893 & 625.673281854853 \tabularnewline
0.28 & 19898.3696234909 & 586.710994878865 \tabularnewline
0.29 & 20016.1936838678 & 547.784762562101 \tabularnewline
0.3 & 20125.80857407 & 512.458020656953 \tabularnewline
0.31 & 20228.3236379436 & 484.075237274224 \tabularnewline
0.32 & 20325.3434329242 & 465.373043830242 \tabularnewline
0.33 & 20418.8336064776 & 458.354679550117 \tabularnewline
0.34 & 20510.9570982233 & 463.837815516319 \tabularnewline
0.35 & 20603.8991413886 & 481.417509397549 \tabularnewline
0.36 & 20699.6979064503 & 509.582439147235 \tabularnewline
0.37 & 20800.0956657412 & 545.973810829994 \tabularnewline
0.38 & 20906.4233976614 & 587.734722934002 \tabularnewline
0.39 & 21019.52949717 & 631.841506532963 \tabularnewline
0.4 & 21139.7601055311 & 675.331684319775 \tabularnewline
0.41 & 21266.9940164059 & 715.710630298481 \tabularnewline
0.42 & 21400.7291163317 & 751.211043373639 \tabularnewline
0.43 & 21540.2104530518 & 780.795574027657 \tabularnewline
0.44 & 21684.5834216866 & 804.570724170554 \tabularnewline
0.45 & 21833.0506267379 & 823.40062614913 \tabularnewline
0.46 & 21985.009032777 & 839.080166559365 \tabularnewline
0.47 & 22140.1458935979 & 853.857924599185 \tabularnewline
0.48 & 22298.4777193862 & 870.026275089567 \tabularnewline
0.49 & 22460.3254103846 & 889.54143990248 \tabularnewline
0.5 & 22626.2291187091 & 913.520847751231 \tabularnewline
0.51 & 22796.8164473225 & 941.976745833489 \tabularnewline
0.52 & 22972.645341388 & 973.810779784101 \tabularnewline
0.53 & 23154.0470443998 & 1006.95396930523 \tabularnewline
0.54 & 23340.9941660215 & 1038.66542720749 \tabularnewline
0.55 & 23533.0145465992 & 1065.91956894024 \tabularnewline
0.56 & 23729.1642866769 & 1085.8764426507 \tabularnewline
0.57 & 23928.0645550987 & 1096.15579526966 \tabularnewline
0.58 & 24127.9981279202 & 1095.14437477843 \tabularnewline
0.59 & 24327.0542322154 & 1082.22965946614 \tabularnewline
0.6 & 24523.3048420245 & 1057.77709180442 \tabularnewline
0.61 & 24714.9922814822 & 1023.24631585435 \tabularnewline
0.62 & 24900.7067368657 & 981.009305003153 \tabularnewline
0.63 & 25079.5329469306 & 934.163952116123 \tabularnewline
0.64 & 25251.1479602141 & 886.305994917422 \tabularnewline
0.65 & 25415.856586802 & 841.165733292166 \tabularnewline
0.66 & 25574.5581305535 & 802.196292614173 \tabularnewline
0.67 & 25728.6468868619 & 772.255548286907 \tabularnewline
0.68 & 25879.8588076495 & 752.958097052656 \tabularnewline
0.69 & 26030.0860439782 & 744.613570971802 \tabularnewline
0.7 & 26181.1876926858 & 746.197966234924 \tabularnewline
0.71 & 26334.826977737 & 755.60347228261 \tabularnewline
0.72 & 26492.3609990032 & 770.2703226002 \tabularnewline
0.73 & 26654.7990945576 & 787.699785401422 \tabularnewline
0.74 & 26822.8313691125 & 805.85415810819 \tabularnewline
0.75 & 26996.9130130178 & 823.614102016921 \tabularnewline
0.76 & 27177.3764384834 & 840.61602940577 \tabularnewline
0.77 & 27364.5356999311 & 857.209591279288 \tabularnewline
0.78 & 27558.748913245 & 873.999521192146 \tabularnewline
0.79 & 27760.4155307189 & 891.444012325522 \tabularnewline
0.8 & 27969.9051983553 & 909.407611132427 \tabularnewline
0.81 & 28187.4396856115 & 926.846751177406 \tabularnewline
0.82 & 28412.9723854035 & 941.973968534621 \tabularnewline
0.83 & 28646.1222303688 & 952.509404711659 \tabularnewline
0.84 & 28886.2113946963 & 956.488719732191 \tabularnewline
0.85 & 29132.4233958001 & 953.011505646573 \tabularnewline
0.86 & 29384.0439709115 & 942.682990667933 \tabularnewline
0.87 & 29640.689512904 & 927.666114984463 \tabularnewline
0.88 & 29902.4006435519 & 910.713181554296 \tabularnewline
0.89 & 30169.524825986 & 893.687604043653 \tabularnewline
0.9 & 30442.467464403 & 876.004052992206 \tabularnewline
0.91 & 30721.6521898521 & 854.590430687723 \tabularnewline
0.92 & 31008.3033765548 & 826.372494925892 \tabularnewline
0.93 & 31306.7001643365 & 793.812490970124 \tabularnewline
0.94 & 31627.9474642248 & 772.276860741723 \tabularnewline
0.95 & 31993.6723662358 & 792.754631541628 \tabularnewline
0.96 & 32435.2943002536 & 881.218556444465 \tabularnewline
0.97 & 32981.0317072022 & 1014.80022717176 \tabularnewline
0.98 & 33621.0047796549 & 1121.93727294506 \tabularnewline
0.99 & 34253.3079313846 & 1164.30964845068 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233842&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]10856.5111245744[/C][C]1156.80142325872[/C][/ROW]
[ROW][C]0.02[/C][C]11564.7675174323[/C][C]1396.16117509321[/C][/ROW]
[ROW][C]0.03[/C][C]12396.3207779901[/C][C]1613.24357715996[/C][/ROW]
[ROW][C]0.04[/C][C]13232.5065349036[/C][C]1682.24451277972[/C][/ROW]
[ROW][C]0.05[/C][C]14005.9207867809[/C][C]1604.2818170886[/C][/ROW]
[ROW][C]0.06[/C][C]14683.7153712125[/C][C]1444.50889807465[/C][/ROW]
[ROW][C]0.07[/C][C]15258.2614434418[/C][C]1272.68696238305[/C][/ROW]
[ROW][C]0.08[/C][C]15739.3679547445[/C][C]1132.09292250631[/C][/ROW]
[ROW][C]0.09[/C][C]16145.2417638128[/C][C]1033.78907661771[/C][/ROW]
[ROW][C]0.1[/C][C]16494.7036031621[/C][C]967.862220115536[/C][/ROW]
[ROW][C]0.11[/C][C]16802.8150490753[/C][C]918.983110918192[/C][/ROW]
[ROW][C]0.12[/C][C]17079.8495109237[/C][C]876.265304133966[/C][/ROW]
[ROW][C]0.13[/C][C]17332.2602882894[/C][C]835.486603842876[/C][/ROW]
[ROW][C]0.14[/C][C]17564.2452955904[/C][C]797.304540286077[/C][/ROW]
[ROW][C]0.15[/C][C]17779.0405047067[/C][C]764.59384407102[/C][/ROW]
[ROW][C]0.16[/C][C]17979.6387185426[/C][C]740.145681916687[/C][/ROW]
[ROW][C]0.17[/C][C]18168.9899855212[/C][C]725.236461373319[/C][/ROW]
[ROW][C]0.18[/C][C]18349.8818675561[/C][C]719.372319208353[/C][/ROW]
[ROW][C]0.19[/C][C]18524.6984357675[/C][C]720.356858474049[/C][/ROW]
[ROW][C]0.2[/C][C]18695.1974519404[/C][C]724.931299217908[/C][/ROW]
[ROW][C]0.21[/C][C]18862.3789145386[/C][C]729.558285367862[/C][/ROW]
[ROW][C]0.22[/C][C]19026.4683500118[/C][C]730.751606865757[/C][/ROW]
[ROW][C]0.23[/C][C]19187.0082273812[/C][C]725.756344698745[/C][/ROW]
[ROW][C]0.24[/C][C]19343.0350891965[/C][C]712.699439689468[/C][/ROW]
[ROW][C]0.25[/C][C]19493.3119761794[/C][C]690.987963576074[/C][/ROW]
[ROW][C]0.26[/C][C]19636.581901564[/C][C]661.341057533774[/C][/ROW]
[ROW][C]0.27[/C][C]19771.8079423893[/C][C]625.673281854853[/C][/ROW]
[ROW][C]0.28[/C][C]19898.3696234909[/C][C]586.710994878865[/C][/ROW]
[ROW][C]0.29[/C][C]20016.1936838678[/C][C]547.784762562101[/C][/ROW]
[ROW][C]0.3[/C][C]20125.80857407[/C][C]512.458020656953[/C][/ROW]
[ROW][C]0.31[/C][C]20228.3236379436[/C][C]484.075237274224[/C][/ROW]
[ROW][C]0.32[/C][C]20325.3434329242[/C][C]465.373043830242[/C][/ROW]
[ROW][C]0.33[/C][C]20418.8336064776[/C][C]458.354679550117[/C][/ROW]
[ROW][C]0.34[/C][C]20510.9570982233[/C][C]463.837815516319[/C][/ROW]
[ROW][C]0.35[/C][C]20603.8991413886[/C][C]481.417509397549[/C][/ROW]
[ROW][C]0.36[/C][C]20699.6979064503[/C][C]509.582439147235[/C][/ROW]
[ROW][C]0.37[/C][C]20800.0956657412[/C][C]545.973810829994[/C][/ROW]
[ROW][C]0.38[/C][C]20906.4233976614[/C][C]587.734722934002[/C][/ROW]
[ROW][C]0.39[/C][C]21019.52949717[/C][C]631.841506532963[/C][/ROW]
[ROW][C]0.4[/C][C]21139.7601055311[/C][C]675.331684319775[/C][/ROW]
[ROW][C]0.41[/C][C]21266.9940164059[/C][C]715.710630298481[/C][/ROW]
[ROW][C]0.42[/C][C]21400.7291163317[/C][C]751.211043373639[/C][/ROW]
[ROW][C]0.43[/C][C]21540.2104530518[/C][C]780.795574027657[/C][/ROW]
[ROW][C]0.44[/C][C]21684.5834216866[/C][C]804.570724170554[/C][/ROW]
[ROW][C]0.45[/C][C]21833.0506267379[/C][C]823.40062614913[/C][/ROW]
[ROW][C]0.46[/C][C]21985.009032777[/C][C]839.080166559365[/C][/ROW]
[ROW][C]0.47[/C][C]22140.1458935979[/C][C]853.857924599185[/C][/ROW]
[ROW][C]0.48[/C][C]22298.4777193862[/C][C]870.026275089567[/C][/ROW]
[ROW][C]0.49[/C][C]22460.3254103846[/C][C]889.54143990248[/C][/ROW]
[ROW][C]0.5[/C][C]22626.2291187091[/C][C]913.520847751231[/C][/ROW]
[ROW][C]0.51[/C][C]22796.8164473225[/C][C]941.976745833489[/C][/ROW]
[ROW][C]0.52[/C][C]22972.645341388[/C][C]973.810779784101[/C][/ROW]
[ROW][C]0.53[/C][C]23154.0470443998[/C][C]1006.95396930523[/C][/ROW]
[ROW][C]0.54[/C][C]23340.9941660215[/C][C]1038.66542720749[/C][/ROW]
[ROW][C]0.55[/C][C]23533.0145465992[/C][C]1065.91956894024[/C][/ROW]
[ROW][C]0.56[/C][C]23729.1642866769[/C][C]1085.8764426507[/C][/ROW]
[ROW][C]0.57[/C][C]23928.0645550987[/C][C]1096.15579526966[/C][/ROW]
[ROW][C]0.58[/C][C]24127.9981279202[/C][C]1095.14437477843[/C][/ROW]
[ROW][C]0.59[/C][C]24327.0542322154[/C][C]1082.22965946614[/C][/ROW]
[ROW][C]0.6[/C][C]24523.3048420245[/C][C]1057.77709180442[/C][/ROW]
[ROW][C]0.61[/C][C]24714.9922814822[/C][C]1023.24631585435[/C][/ROW]
[ROW][C]0.62[/C][C]24900.7067368657[/C][C]981.009305003153[/C][/ROW]
[ROW][C]0.63[/C][C]25079.5329469306[/C][C]934.163952116123[/C][/ROW]
[ROW][C]0.64[/C][C]25251.1479602141[/C][C]886.305994917422[/C][/ROW]
[ROW][C]0.65[/C][C]25415.856586802[/C][C]841.165733292166[/C][/ROW]
[ROW][C]0.66[/C][C]25574.5581305535[/C][C]802.196292614173[/C][/ROW]
[ROW][C]0.67[/C][C]25728.6468868619[/C][C]772.255548286907[/C][/ROW]
[ROW][C]0.68[/C][C]25879.8588076495[/C][C]752.958097052656[/C][/ROW]
[ROW][C]0.69[/C][C]26030.0860439782[/C][C]744.613570971802[/C][/ROW]
[ROW][C]0.7[/C][C]26181.1876926858[/C][C]746.197966234924[/C][/ROW]
[ROW][C]0.71[/C][C]26334.826977737[/C][C]755.60347228261[/C][/ROW]
[ROW][C]0.72[/C][C]26492.3609990032[/C][C]770.2703226002[/C][/ROW]
[ROW][C]0.73[/C][C]26654.7990945576[/C][C]787.699785401422[/C][/ROW]
[ROW][C]0.74[/C][C]26822.8313691125[/C][C]805.85415810819[/C][/ROW]
[ROW][C]0.75[/C][C]26996.9130130178[/C][C]823.614102016921[/C][/ROW]
[ROW][C]0.76[/C][C]27177.3764384834[/C][C]840.61602940577[/C][/ROW]
[ROW][C]0.77[/C][C]27364.5356999311[/C][C]857.209591279288[/C][/ROW]
[ROW][C]0.78[/C][C]27558.748913245[/C][C]873.999521192146[/C][/ROW]
[ROW][C]0.79[/C][C]27760.4155307189[/C][C]891.444012325522[/C][/ROW]
[ROW][C]0.8[/C][C]27969.9051983553[/C][C]909.407611132427[/C][/ROW]
[ROW][C]0.81[/C][C]28187.4396856115[/C][C]926.846751177406[/C][/ROW]
[ROW][C]0.82[/C][C]28412.9723854035[/C][C]941.973968534621[/C][/ROW]
[ROW][C]0.83[/C][C]28646.1222303688[/C][C]952.509404711659[/C][/ROW]
[ROW][C]0.84[/C][C]28886.2113946963[/C][C]956.488719732191[/C][/ROW]
[ROW][C]0.85[/C][C]29132.4233958001[/C][C]953.011505646573[/C][/ROW]
[ROW][C]0.86[/C][C]29384.0439709115[/C][C]942.682990667933[/C][/ROW]
[ROW][C]0.87[/C][C]29640.689512904[/C][C]927.666114984463[/C][/ROW]
[ROW][C]0.88[/C][C]29902.4006435519[/C][C]910.713181554296[/C][/ROW]
[ROW][C]0.89[/C][C]30169.524825986[/C][C]893.687604043653[/C][/ROW]
[ROW][C]0.9[/C][C]30442.467464403[/C][C]876.004052992206[/C][/ROW]
[ROW][C]0.91[/C][C]30721.6521898521[/C][C]854.590430687723[/C][/ROW]
[ROW][C]0.92[/C][C]31008.3033765548[/C][C]826.372494925892[/C][/ROW]
[ROW][C]0.93[/C][C]31306.7001643365[/C][C]793.812490970124[/C][/ROW]
[ROW][C]0.94[/C][C]31627.9474642248[/C][C]772.276860741723[/C][/ROW]
[ROW][C]0.95[/C][C]31993.6723662358[/C][C]792.754631541628[/C][/ROW]
[ROW][C]0.96[/C][C]32435.2943002536[/C][C]881.218556444465[/C][/ROW]
[ROW][C]0.97[/C][C]32981.0317072022[/C][C]1014.80022717176[/C][/ROW]
[ROW][C]0.98[/C][C]33621.0047796549[/C][C]1121.93727294506[/C][/ROW]
[ROW][C]0.99[/C][C]34253.3079313846[/C][C]1164.30964845068[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233842&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233842&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
0.0110856.51112457441156.80142325872
0.0211564.76751743231396.16117509321
0.0312396.32077799011613.24357715996
0.0413232.50653490361682.24451277972
0.0514005.92078678091604.2818170886
0.0614683.71537121251444.50889807465
0.0715258.26144344181272.68696238305
0.0815739.36795474451132.09292250631
0.0916145.24176381281033.78907661771
0.116494.7036031621967.862220115536
0.1116802.8150490753918.983110918192
0.1217079.8495109237876.265304133966
0.1317332.2602882894835.486603842876
0.1417564.2452955904797.304540286077
0.1517779.0405047067764.59384407102
0.1617979.6387185426740.145681916687
0.1718168.9899855212725.236461373319
0.1818349.8818675561719.372319208353
0.1918524.6984357675720.356858474049
0.218695.1974519404724.931299217908
0.2118862.3789145386729.558285367862
0.2219026.4683500118730.751606865757
0.2319187.0082273812725.756344698745
0.2419343.0350891965712.699439689468
0.2519493.3119761794690.987963576074
0.2619636.581901564661.341057533774
0.2719771.8079423893625.673281854853
0.2819898.3696234909586.710994878865
0.2920016.1936838678547.784762562101
0.320125.80857407512.458020656953
0.3120228.3236379436484.075237274224
0.3220325.3434329242465.373043830242
0.3320418.8336064776458.354679550117
0.3420510.9570982233463.837815516319
0.3520603.8991413886481.417509397549
0.3620699.6979064503509.582439147235
0.3720800.0956657412545.973810829994
0.3820906.4233976614587.734722934002
0.3921019.52949717631.841506532963
0.421139.7601055311675.331684319775
0.4121266.9940164059715.710630298481
0.4221400.7291163317751.211043373639
0.4321540.2104530518780.795574027657
0.4421684.5834216866804.570724170554
0.4521833.0506267379823.40062614913
0.4621985.009032777839.080166559365
0.4722140.1458935979853.857924599185
0.4822298.4777193862870.026275089567
0.4922460.3254103846889.54143990248
0.522626.2291187091913.520847751231
0.5122796.8164473225941.976745833489
0.5222972.645341388973.810779784101
0.5323154.04704439981006.95396930523
0.5423340.99416602151038.66542720749
0.5523533.01454659921065.91956894024
0.5623729.16428667691085.8764426507
0.5723928.06455509871096.15579526966
0.5824127.99812792021095.14437477843
0.5924327.05423221541082.22965946614
0.624523.30484202451057.77709180442
0.6124714.99228148221023.24631585435
0.6224900.7067368657981.009305003153
0.6325079.5329469306934.163952116123
0.6425251.1479602141886.305994917422
0.6525415.856586802841.165733292166
0.6625574.5581305535802.196292614173
0.6725728.6468868619772.255548286907
0.6825879.8588076495752.958097052656
0.6926030.0860439782744.613570971802
0.726181.1876926858746.197966234924
0.7126334.826977737755.60347228261
0.7226492.3609990032770.2703226002
0.7326654.7990945576787.699785401422
0.7426822.8313691125805.85415810819
0.7526996.9130130178823.614102016921
0.7627177.3764384834840.61602940577
0.7727364.5356999311857.209591279288
0.7827558.748913245873.999521192146
0.7927760.4155307189891.444012325522
0.827969.9051983553909.407611132427
0.8128187.4396856115926.846751177406
0.8228412.9723854035941.973968534621
0.8328646.1222303688952.509404711659
0.8428886.2113946963956.488719732191
0.8529132.4233958001953.011505646573
0.8629384.0439709115942.682990667933
0.8729640.689512904927.666114984463
0.8829902.4006435519910.713181554296
0.8930169.524825986893.687604043653
0.930442.467464403876.004052992206
0.9130721.6521898521854.590430687723
0.9231008.3033765548826.372494925892
0.9331306.7001643365793.812490970124
0.9431627.9474642248772.276860741723
0.9531993.6723662358792.754631541628
0.9632435.2943002536881.218556444465
0.9732981.03170720221014.80022717176
0.9833621.00477965491121.93727294506
0.9934253.30793138461164.30964845068


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')