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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, 27 Feb 2013 10:36:10 -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/2013/Feb/27/t1361979386x86oi0all40fzxm.htm/, Retrieved Sun, 28 Apr 2024 17:37:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207162, Retrieved Sun, 28 Apr 2024 17:37:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact183

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] [prijsindex Graan] [2013-02-27 15:36:10] [7bdaea507391e586c2f546987cf73038] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
55.7
59.2
59.8
61.6
65.8
64.2
67
62.8
65.5
75.2
80.9
83.2
83.7
86.4
85.9
80.4
81.8
87.5
83.7
87
99.7
101.4
101.9
115.7
123.2
136.9
146.8
149.6
146.5
157
147.9
133.6
128.7
100.8
91.8
89.3
96.7
91.6
93.3
93.3
101
100.4
86.9
83.9
80.3
87.7
92.7
95.5
92
87.4
86.8
83.7
85
81.7
90.9
101.5
113.8
120.1
122.1
132.5
140
149.4
144.3
154.4
151.4
145.5
136.8
146.6
145.1
133.6
131.4
127.5
130.1
131.1
132.3
128.6
125.1
128.7
156.1
163.2
159.8
157.4
156.2
152.5

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=207162&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=207162&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207162&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
0.0156.89703739358192.71950646701782
0.0258.50896109126842.08315365272262
0.0359.9719452871892.0165941331269
0.0461.25002305921212.28300416306795
0.0562.47682508882982.6925174699916
0.0663.76222834787623.26772549746503
0.0765.17848153522834.03383043159883
0.0866.77002944470064.90910846113297
0.0968.54486157077895.72158549715206
0.170.46438919818666.28456278248695
0.1172.44803763755616.47096344490022
0.1274.3935434324296.25535385898179
0.1376.20365288328895.71017918387433
0.1477.8080255003484.96769525162886
0.1579.17347784599774.17111014375059
0.1680.30205645309793.43566440644543
0.1781.22108803506952.83038673886863
0.1881.97075419764142.37853394777264
0.1982.59347277534682.07042788231436
0.283.12704487379141.87859203955402
0.2183.60154533864661.77141890857353
0.2284.03891022960981.72064311885692
0.2384.45401933251571.70378474243219
0.2484.85637595521341.70523491944347
0.2585.25186763239851.71621837372401
0.2685.64435237029471.73455816762669
0.2786.03693406056221.76274222813685
0.2886.43283508642041.80638768471051
0.2986.83581567554741.87132525133136
0.387.25015981628381.9607848511202
0.3187.68033481063182.07393256156006
0.3288.13050154292932.20645032591441
0.3388.60407394703542.35175147488883
0.3489.10348765148912.50283301322241
0.3589.63025246024482.65554298307432
0.3690.18526196514432.80797597439669
0.3790.7692518326982.96290050048337
0.3891.38326330063363.12441498112313
0.3992.02898939615613.29828749511987
0.492.70894693894613.4895447238186
0.4193.42649983171323.70157874385924
0.4294.18582436689173.93682187909919
0.4394.99192692356644.19753993582381
0.4495.85078641726184.48781903462429
0.4596.76960785444054.81521879635186
0.4697.75706897812465.18983111261202
0.4798.82336002676155.62281692084499
0.4899.9797953143376.12223773190286
0.49101.2378362664626.68781218347346
0.5102.6075038273777.30774377902869
0.51104.0953408708227.9558001533137
0.52105.7022596411228.59328323878952
0.53107.4217187162679.17260576270513
0.54109.2386768898169.64426001863616
0.55111.1296560982269.96344575298525
0.56113.06403605010110.0967789833414
0.57115.00645271246210.0275568316338
0.58116.9199472117379.75784004299959
0.59118.7693690544219.30780876758289
0.6120.5245105071998.71294776641406
0.61122.1625363983948.01863331096538
0.62123.6694437230657.27434083741647
0.63125.0404880689286.52860779477928
0.64126.2796967106565.82448698671639
0.65127.3987111576885.1971553374414
0.66128.4152455604014.67306092886705
0.67129.351414404374.27005427670791
0.68130.2320943232013.99828115187805
0.69131.0833731848843.8598069947709
0.7131.9310415863863.84908578121004
0.71132.7990310631033.95191132050567
0.72133.7077224989384.14536877017681
0.73134.672141956434.39751845977365
0.74135.7002096937724.66983075189116
0.75136.7913661782294.91875140556753
0.76137.936002724145.10137208344463
0.77139.1161094776675.18074899083287
0.78140.3073802095265.13330360862307
0.79141.4826925152454.95291443240999
0.8142.6164875558394.65490254781188
0.81143.689230941244.2743338283804
0.82144.6909825531233.86008217479325
0.83145.623227075053.4666415731195
0.84146.4985069159583.14274910613157
0.85147.3379264701062.92152928140261
0.86148.1670602163812.81208808388905
0.87149.0110249302632.79855258441931
0.88149.8894422271372.84618201983757
0.89150.811899698522.90915714571048
0.9151.7746202010082.93748118920153
0.91152.7595645760642.88381337497686
0.92153.7379315588172.71580404158619
0.93154.6803055936482.43344818141511
0.94155.5746531208642.08591271852424
0.95156.4503592198841.78295799963279
0.96157.4007146954471.68346808515961
0.97158.5822068947091.89722641875915
0.98160.1315544608852.36042968977007
0.99161.9080725391892.92245641552387

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 56.8970373935819 & 2.71950646701782 \tabularnewline
0.02 & 58.5089610912684 & 2.08315365272262 \tabularnewline
0.03 & 59.971945287189 & 2.0165941331269 \tabularnewline
0.04 & 61.2500230592121 & 2.28300416306795 \tabularnewline
0.05 & 62.4768250888298 & 2.6925174699916 \tabularnewline
0.06 & 63.7622283478762 & 3.26772549746503 \tabularnewline
0.07 & 65.1784815352283 & 4.03383043159883 \tabularnewline
0.08 & 66.7700294447006 & 4.90910846113297 \tabularnewline
0.09 & 68.5448615707789 & 5.72158549715206 \tabularnewline
0.1 & 70.4643891981866 & 6.28456278248695 \tabularnewline
0.11 & 72.4480376375561 & 6.47096344490022 \tabularnewline
0.12 & 74.393543432429 & 6.25535385898179 \tabularnewline
0.13 & 76.2036528832889 & 5.71017918387433 \tabularnewline
0.14 & 77.808025500348 & 4.96769525162886 \tabularnewline
0.15 & 79.1734778459977 & 4.17111014375059 \tabularnewline
0.16 & 80.3020564530979 & 3.43566440644543 \tabularnewline
0.17 & 81.2210880350695 & 2.83038673886863 \tabularnewline
0.18 & 81.9707541976414 & 2.37853394777264 \tabularnewline
0.19 & 82.5934727753468 & 2.07042788231436 \tabularnewline
0.2 & 83.1270448737914 & 1.87859203955402 \tabularnewline
0.21 & 83.6015453386466 & 1.77141890857353 \tabularnewline
0.22 & 84.0389102296098 & 1.72064311885692 \tabularnewline
0.23 & 84.4540193325157 & 1.70378474243219 \tabularnewline
0.24 & 84.8563759552134 & 1.70523491944347 \tabularnewline
0.25 & 85.2518676323985 & 1.71621837372401 \tabularnewline
0.26 & 85.6443523702947 & 1.73455816762669 \tabularnewline
0.27 & 86.0369340605622 & 1.76274222813685 \tabularnewline
0.28 & 86.4328350864204 & 1.80638768471051 \tabularnewline
0.29 & 86.8358156755474 & 1.87132525133136 \tabularnewline
0.3 & 87.2501598162838 & 1.9607848511202 \tabularnewline
0.31 & 87.6803348106318 & 2.07393256156006 \tabularnewline
0.32 & 88.1305015429293 & 2.20645032591441 \tabularnewline
0.33 & 88.6040739470354 & 2.35175147488883 \tabularnewline
0.34 & 89.1034876514891 & 2.50283301322241 \tabularnewline
0.35 & 89.6302524602448 & 2.65554298307432 \tabularnewline
0.36 & 90.1852619651443 & 2.80797597439669 \tabularnewline
0.37 & 90.769251832698 & 2.96290050048337 \tabularnewline
0.38 & 91.3832633006336 & 3.12441498112313 \tabularnewline
0.39 & 92.0289893961561 & 3.29828749511987 \tabularnewline
0.4 & 92.7089469389461 & 3.4895447238186 \tabularnewline
0.41 & 93.4264998317132 & 3.70157874385924 \tabularnewline
0.42 & 94.1858243668917 & 3.93682187909919 \tabularnewline
0.43 & 94.9919269235664 & 4.19753993582381 \tabularnewline
0.44 & 95.8507864172618 & 4.48781903462429 \tabularnewline
0.45 & 96.7696078544405 & 4.81521879635186 \tabularnewline
0.46 & 97.7570689781246 & 5.18983111261202 \tabularnewline
0.47 & 98.8233600267615 & 5.62281692084499 \tabularnewline
0.48 & 99.979795314337 & 6.12223773190286 \tabularnewline
0.49 & 101.237836266462 & 6.68781218347346 \tabularnewline
0.5 & 102.607503827377 & 7.30774377902869 \tabularnewline
0.51 & 104.095340870822 & 7.9558001533137 \tabularnewline
0.52 & 105.702259641122 & 8.59328323878952 \tabularnewline
0.53 & 107.421718716267 & 9.17260576270513 \tabularnewline
0.54 & 109.238676889816 & 9.64426001863616 \tabularnewline
0.55 & 111.129656098226 & 9.96344575298525 \tabularnewline
0.56 & 113.064036050101 & 10.0967789833414 \tabularnewline
0.57 & 115.006452712462 & 10.0275568316338 \tabularnewline
0.58 & 116.919947211737 & 9.75784004299959 \tabularnewline
0.59 & 118.769369054421 & 9.30780876758289 \tabularnewline
0.6 & 120.524510507199 & 8.71294776641406 \tabularnewline
0.61 & 122.162536398394 & 8.01863331096538 \tabularnewline
0.62 & 123.669443723065 & 7.27434083741647 \tabularnewline
0.63 & 125.040488068928 & 6.52860779477928 \tabularnewline
0.64 & 126.279696710656 & 5.82448698671639 \tabularnewline
0.65 & 127.398711157688 & 5.1971553374414 \tabularnewline
0.66 & 128.415245560401 & 4.67306092886705 \tabularnewline
0.67 & 129.35141440437 & 4.27005427670791 \tabularnewline
0.68 & 130.232094323201 & 3.99828115187805 \tabularnewline
0.69 & 131.083373184884 & 3.8598069947709 \tabularnewline
0.7 & 131.931041586386 & 3.84908578121004 \tabularnewline
0.71 & 132.799031063103 & 3.95191132050567 \tabularnewline
0.72 & 133.707722498938 & 4.14536877017681 \tabularnewline
0.73 & 134.67214195643 & 4.39751845977365 \tabularnewline
0.74 & 135.700209693772 & 4.66983075189116 \tabularnewline
0.75 & 136.791366178229 & 4.91875140556753 \tabularnewline
0.76 & 137.93600272414 & 5.10137208344463 \tabularnewline
0.77 & 139.116109477667 & 5.18074899083287 \tabularnewline
0.78 & 140.307380209526 & 5.13330360862307 \tabularnewline
0.79 & 141.482692515245 & 4.95291443240999 \tabularnewline
0.8 & 142.616487555839 & 4.65490254781188 \tabularnewline
0.81 & 143.68923094124 & 4.2743338283804 \tabularnewline
0.82 & 144.690982553123 & 3.86008217479325 \tabularnewline
0.83 & 145.62322707505 & 3.4666415731195 \tabularnewline
0.84 & 146.498506915958 & 3.14274910613157 \tabularnewline
0.85 & 147.337926470106 & 2.92152928140261 \tabularnewline
0.86 & 148.167060216381 & 2.81208808388905 \tabularnewline
0.87 & 149.011024930263 & 2.79855258441931 \tabularnewline
0.88 & 149.889442227137 & 2.84618201983757 \tabularnewline
0.89 & 150.81189969852 & 2.90915714571048 \tabularnewline
0.9 & 151.774620201008 & 2.93748118920153 \tabularnewline
0.91 & 152.759564576064 & 2.88381337497686 \tabularnewline
0.92 & 153.737931558817 & 2.71580404158619 \tabularnewline
0.93 & 154.680305593648 & 2.43344818141511 \tabularnewline
0.94 & 155.574653120864 & 2.08591271852424 \tabularnewline
0.95 & 156.450359219884 & 1.78295799963279 \tabularnewline
0.96 & 157.400714695447 & 1.68346808515961 \tabularnewline
0.97 & 158.582206894709 & 1.89722641875915 \tabularnewline
0.98 & 160.131554460885 & 2.36042968977007 \tabularnewline
0.99 & 161.908072539189 & 2.92245641552387 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207162&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]56.8970373935819[/C][C]2.71950646701782[/C][/ROW]
[ROW][C]0.02[/C][C]58.5089610912684[/C][C]2.08315365272262[/C][/ROW]
[ROW][C]0.03[/C][C]59.971945287189[/C][C]2.0165941331269[/C][/ROW]
[ROW][C]0.04[/C][C]61.2500230592121[/C][C]2.28300416306795[/C][/ROW]
[ROW][C]0.05[/C][C]62.4768250888298[/C][C]2.6925174699916[/C][/ROW]
[ROW][C]0.06[/C][C]63.7622283478762[/C][C]3.26772549746503[/C][/ROW]
[ROW][C]0.07[/C][C]65.1784815352283[/C][C]4.03383043159883[/C][/ROW]
[ROW][C]0.08[/C][C]66.7700294447006[/C][C]4.90910846113297[/C][/ROW]
[ROW][C]0.09[/C][C]68.5448615707789[/C][C]5.72158549715206[/C][/ROW]
[ROW][C]0.1[/C][C]70.4643891981866[/C][C]6.28456278248695[/C][/ROW]
[ROW][C]0.11[/C][C]72.4480376375561[/C][C]6.47096344490022[/C][/ROW]
[ROW][C]0.12[/C][C]74.393543432429[/C][C]6.25535385898179[/C][/ROW]
[ROW][C]0.13[/C][C]76.2036528832889[/C][C]5.71017918387433[/C][/ROW]
[ROW][C]0.14[/C][C]77.808025500348[/C][C]4.96769525162886[/C][/ROW]
[ROW][C]0.15[/C][C]79.1734778459977[/C][C]4.17111014375059[/C][/ROW]
[ROW][C]0.16[/C][C]80.3020564530979[/C][C]3.43566440644543[/C][/ROW]
[ROW][C]0.17[/C][C]81.2210880350695[/C][C]2.83038673886863[/C][/ROW]
[ROW][C]0.18[/C][C]81.9707541976414[/C][C]2.37853394777264[/C][/ROW]
[ROW][C]0.19[/C][C]82.5934727753468[/C][C]2.07042788231436[/C][/ROW]
[ROW][C]0.2[/C][C]83.1270448737914[/C][C]1.87859203955402[/C][/ROW]
[ROW][C]0.21[/C][C]83.6015453386466[/C][C]1.77141890857353[/C][/ROW]
[ROW][C]0.22[/C][C]84.0389102296098[/C][C]1.72064311885692[/C][/ROW]
[ROW][C]0.23[/C][C]84.4540193325157[/C][C]1.70378474243219[/C][/ROW]
[ROW][C]0.24[/C][C]84.8563759552134[/C][C]1.70523491944347[/C][/ROW]
[ROW][C]0.25[/C][C]85.2518676323985[/C][C]1.71621837372401[/C][/ROW]
[ROW][C]0.26[/C][C]85.6443523702947[/C][C]1.73455816762669[/C][/ROW]
[ROW][C]0.27[/C][C]86.0369340605622[/C][C]1.76274222813685[/C][/ROW]
[ROW][C]0.28[/C][C]86.4328350864204[/C][C]1.80638768471051[/C][/ROW]
[ROW][C]0.29[/C][C]86.8358156755474[/C][C]1.87132525133136[/C][/ROW]
[ROW][C]0.3[/C][C]87.2501598162838[/C][C]1.9607848511202[/C][/ROW]
[ROW][C]0.31[/C][C]87.6803348106318[/C][C]2.07393256156006[/C][/ROW]
[ROW][C]0.32[/C][C]88.1305015429293[/C][C]2.20645032591441[/C][/ROW]
[ROW][C]0.33[/C][C]88.6040739470354[/C][C]2.35175147488883[/C][/ROW]
[ROW][C]0.34[/C][C]89.1034876514891[/C][C]2.50283301322241[/C][/ROW]
[ROW][C]0.35[/C][C]89.6302524602448[/C][C]2.65554298307432[/C][/ROW]
[ROW][C]0.36[/C][C]90.1852619651443[/C][C]2.80797597439669[/C][/ROW]
[ROW][C]0.37[/C][C]90.769251832698[/C][C]2.96290050048337[/C][/ROW]
[ROW][C]0.38[/C][C]91.3832633006336[/C][C]3.12441498112313[/C][/ROW]
[ROW][C]0.39[/C][C]92.0289893961561[/C][C]3.29828749511987[/C][/ROW]
[ROW][C]0.4[/C][C]92.7089469389461[/C][C]3.4895447238186[/C][/ROW]
[ROW][C]0.41[/C][C]93.4264998317132[/C][C]3.70157874385924[/C][/ROW]
[ROW][C]0.42[/C][C]94.1858243668917[/C][C]3.93682187909919[/C][/ROW]
[ROW][C]0.43[/C][C]94.9919269235664[/C][C]4.19753993582381[/C][/ROW]
[ROW][C]0.44[/C][C]95.8507864172618[/C][C]4.48781903462429[/C][/ROW]
[ROW][C]0.45[/C][C]96.7696078544405[/C][C]4.81521879635186[/C][/ROW]
[ROW][C]0.46[/C][C]97.7570689781246[/C][C]5.18983111261202[/C][/ROW]
[ROW][C]0.47[/C][C]98.8233600267615[/C][C]5.62281692084499[/C][/ROW]
[ROW][C]0.48[/C][C]99.979795314337[/C][C]6.12223773190286[/C][/ROW]
[ROW][C]0.49[/C][C]101.237836266462[/C][C]6.68781218347346[/C][/ROW]
[ROW][C]0.5[/C][C]102.607503827377[/C][C]7.30774377902869[/C][/ROW]
[ROW][C]0.51[/C][C]104.095340870822[/C][C]7.9558001533137[/C][/ROW]
[ROW][C]0.52[/C][C]105.702259641122[/C][C]8.59328323878952[/C][/ROW]
[ROW][C]0.53[/C][C]107.421718716267[/C][C]9.17260576270513[/C][/ROW]
[ROW][C]0.54[/C][C]109.238676889816[/C][C]9.64426001863616[/C][/ROW]
[ROW][C]0.55[/C][C]111.129656098226[/C][C]9.96344575298525[/C][/ROW]
[ROW][C]0.56[/C][C]113.064036050101[/C][C]10.0967789833414[/C][/ROW]
[ROW][C]0.57[/C][C]115.006452712462[/C][C]10.0275568316338[/C][/ROW]
[ROW][C]0.58[/C][C]116.919947211737[/C][C]9.75784004299959[/C][/ROW]
[ROW][C]0.59[/C][C]118.769369054421[/C][C]9.30780876758289[/C][/ROW]
[ROW][C]0.6[/C][C]120.524510507199[/C][C]8.71294776641406[/C][/ROW]
[ROW][C]0.61[/C][C]122.162536398394[/C][C]8.01863331096538[/C][/ROW]
[ROW][C]0.62[/C][C]123.669443723065[/C][C]7.27434083741647[/C][/ROW]
[ROW][C]0.63[/C][C]125.040488068928[/C][C]6.52860779477928[/C][/ROW]
[ROW][C]0.64[/C][C]126.279696710656[/C][C]5.82448698671639[/C][/ROW]
[ROW][C]0.65[/C][C]127.398711157688[/C][C]5.1971553374414[/C][/ROW]
[ROW][C]0.66[/C][C]128.415245560401[/C][C]4.67306092886705[/C][/ROW]
[ROW][C]0.67[/C][C]129.35141440437[/C][C]4.27005427670791[/C][/ROW]
[ROW][C]0.68[/C][C]130.232094323201[/C][C]3.99828115187805[/C][/ROW]
[ROW][C]0.69[/C][C]131.083373184884[/C][C]3.8598069947709[/C][/ROW]
[ROW][C]0.7[/C][C]131.931041586386[/C][C]3.84908578121004[/C][/ROW]
[ROW][C]0.71[/C][C]132.799031063103[/C][C]3.95191132050567[/C][/ROW]
[ROW][C]0.72[/C][C]133.707722498938[/C][C]4.14536877017681[/C][/ROW]
[ROW][C]0.73[/C][C]134.67214195643[/C][C]4.39751845977365[/C][/ROW]
[ROW][C]0.74[/C][C]135.700209693772[/C][C]4.66983075189116[/C][/ROW]
[ROW][C]0.75[/C][C]136.791366178229[/C][C]4.91875140556753[/C][/ROW]
[ROW][C]0.76[/C][C]137.93600272414[/C][C]5.10137208344463[/C][/ROW]
[ROW][C]0.77[/C][C]139.116109477667[/C][C]5.18074899083287[/C][/ROW]
[ROW][C]0.78[/C][C]140.307380209526[/C][C]5.13330360862307[/C][/ROW]
[ROW][C]0.79[/C][C]141.482692515245[/C][C]4.95291443240999[/C][/ROW]
[ROW][C]0.8[/C][C]142.616487555839[/C][C]4.65490254781188[/C][/ROW]
[ROW][C]0.81[/C][C]143.68923094124[/C][C]4.2743338283804[/C][/ROW]
[ROW][C]0.82[/C][C]144.690982553123[/C][C]3.86008217479325[/C][/ROW]
[ROW][C]0.83[/C][C]145.62322707505[/C][C]3.4666415731195[/C][/ROW]
[ROW][C]0.84[/C][C]146.498506915958[/C][C]3.14274910613157[/C][/ROW]
[ROW][C]0.85[/C][C]147.337926470106[/C][C]2.92152928140261[/C][/ROW]
[ROW][C]0.86[/C][C]148.167060216381[/C][C]2.81208808388905[/C][/ROW]
[ROW][C]0.87[/C][C]149.011024930263[/C][C]2.79855258441931[/C][/ROW]
[ROW][C]0.88[/C][C]149.889442227137[/C][C]2.84618201983757[/C][/ROW]
[ROW][C]0.89[/C][C]150.81189969852[/C][C]2.90915714571048[/C][/ROW]
[ROW][C]0.9[/C][C]151.774620201008[/C][C]2.93748118920153[/C][/ROW]
[ROW][C]0.91[/C][C]152.759564576064[/C][C]2.88381337497686[/C][/ROW]
[ROW][C]0.92[/C][C]153.737931558817[/C][C]2.71580404158619[/C][/ROW]
[ROW][C]0.93[/C][C]154.680305593648[/C][C]2.43344818141511[/C][/ROW]
[ROW][C]0.94[/C][C]155.574653120864[/C][C]2.08591271852424[/C][/ROW]
[ROW][C]0.95[/C][C]156.450359219884[/C][C]1.78295799963279[/C][/ROW]
[ROW][C]0.96[/C][C]157.400714695447[/C][C]1.68346808515961[/C][/ROW]
[ROW][C]0.97[/C][C]158.582206894709[/C][C]1.89722641875915[/C][/ROW]
[ROW][C]0.98[/C][C]160.131554460885[/C][C]2.36042968977007[/C][/ROW]
[ROW][C]0.99[/C][C]161.908072539189[/C][C]2.92245641552387[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207162&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207162&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
0.0156.89703739358192.71950646701782
0.0258.50896109126842.08315365272262
0.0359.9719452871892.0165941331269
0.0461.25002305921212.28300416306795
0.0562.47682508882982.6925174699916
0.0663.76222834787623.26772549746503
0.0765.17848153522834.03383043159883
0.0866.77002944470064.90910846113297
0.0968.54486157077895.72158549715206
0.170.46438919818666.28456278248695
0.1172.44803763755616.47096344490022
0.1274.3935434324296.25535385898179
0.1376.20365288328895.71017918387433
0.1477.8080255003484.96769525162886
0.1579.17347784599774.17111014375059
0.1680.30205645309793.43566440644543
0.1781.22108803506952.83038673886863
0.1881.97075419764142.37853394777264
0.1982.59347277534682.07042788231436
0.283.12704487379141.87859203955402
0.2183.60154533864661.77141890857353
0.2284.03891022960981.72064311885692
0.2384.45401933251571.70378474243219
0.2484.85637595521341.70523491944347
0.2585.25186763239851.71621837372401
0.2685.64435237029471.73455816762669
0.2786.03693406056221.76274222813685
0.2886.43283508642041.80638768471051
0.2986.83581567554741.87132525133136
0.387.25015981628381.9607848511202
0.3187.68033481063182.07393256156006
0.3288.13050154292932.20645032591441
0.3388.60407394703542.35175147488883
0.3489.10348765148912.50283301322241
0.3589.63025246024482.65554298307432
0.3690.18526196514432.80797597439669
0.3790.7692518326982.96290050048337
0.3891.38326330063363.12441498112313
0.3992.02898939615613.29828749511987
0.492.70894693894613.4895447238186
0.4193.42649983171323.70157874385924
0.4294.18582436689173.93682187909919
0.4394.99192692356644.19753993582381
0.4495.85078641726184.48781903462429
0.4596.76960785444054.81521879635186
0.4697.75706897812465.18983111261202
0.4798.82336002676155.62281692084499
0.4899.9797953143376.12223773190286
0.49101.2378362664626.68781218347346
0.5102.6075038273777.30774377902869
0.51104.0953408708227.9558001533137
0.52105.7022596411228.59328323878952
0.53107.4217187162679.17260576270513
0.54109.2386768898169.64426001863616
0.55111.1296560982269.96344575298525
0.56113.06403605010110.0967789833414
0.57115.00645271246210.0275568316338
0.58116.9199472117379.75784004299959
0.59118.7693690544219.30780876758289
0.6120.5245105071998.71294776641406
0.61122.1625363983948.01863331096538
0.62123.6694437230657.27434083741647
0.63125.0404880689286.52860779477928
0.64126.2796967106565.82448698671639
0.65127.3987111576885.1971553374414
0.66128.4152455604014.67306092886705
0.67129.351414404374.27005427670791
0.68130.2320943232013.99828115187805
0.69131.0833731848843.8598069947709
0.7131.9310415863863.84908578121004
0.71132.7990310631033.95191132050567
0.72133.7077224989384.14536877017681
0.73134.672141956434.39751845977365
0.74135.7002096937724.66983075189116
0.75136.7913661782294.91875140556753
0.76137.936002724145.10137208344463
0.77139.1161094776675.18074899083287
0.78140.3073802095265.13330360862307
0.79141.4826925152454.95291443240999
0.8142.6164875558394.65490254781188
0.81143.689230941244.2743338283804
0.82144.6909825531233.86008217479325
0.83145.623227075053.4666415731195
0.84146.4985069159583.14274910613157
0.85147.3379264701062.92152928140261
0.86148.1670602163812.81208808388905
0.87149.0110249302632.79855258441931
0.88149.8894422271372.84618201983757
0.89150.811899698522.90915714571048
0.9151.7746202010082.93748118920153
0.91152.7595645760642.88381337497686
0.92153.7379315588172.71580404158619
0.93154.6803055936482.43344818141511
0.94155.5746531208642.08591271852424
0.95156.4503592198841.78295799963279
0.96157.4007146954471.68346808515961
0.97158.5822068947091.89722641875915
0.98160.1315544608852.36042968977007
0.99161.9080725391892.92245641552387


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')