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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 computationTue, 10 Feb 2015 17:25:33 +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/2015/Feb/10/t14235892679z6ku86bw6ytoub.htm/, Retrieved Tue, 26 May 2026 09:08:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=276973, Retrieved Tue, 26 May 2026 09:08:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact409

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] [] [2015-02-10 17:25:33] [006461bb825a57cb671d1f8ff85b37cb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
299.81
299.01
296.82
296.67
296.95
296.80
296.80
295.93
293.77
291.02
288.61
284.55
284.55
278.14
273.28
270.14
268.36
267.15
267.15
265.47
261.75
256.51
252.98
251.17
251.17
244.27
240.54
238.92
237.47
235.91
235.91
231.41
224.94
222.19
219.06
217.83
217.83
216.89
213.84
212.90
213.98
215.31
215.31
214.09
213.71
211.54
209.40
207.33
207.33
202.75
200.26
198.99
198.82
198.43
198.43
195.68
195.45
193.65
191.38
189.71
189.71
185.49
183.01
182.38
181.60
182.13
182.13
180.81
180.25
179.84
178.50
178.11
178.11
178.10
177.52
177.34
175.53
176.01
175.94
175.47
175.48
173.76
173.74
173.65
172.00
171.50
170.41
171.50
171.43
170.69
170.40
169.90
170.21
170.55
169.98
169.34

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276973&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276973&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276973&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01169.5615949520370.405338750045578
0.02169.835363985120.282183113179743
0.03170.0547295982420.262519155262
0.04170.2332149982850.29564052039056
0.05170.4048570142650.365304713710485
0.06170.5932842440850.476319231276736
0.07170.8146168376010.623046869284579
0.08171.0797482706260.79393903044856
0.09171.3943870315690.979237686209983
0.1171.7593254978921.16715251303493
0.11172.1708165358411.34220675817665
0.12172.620862166021.48681247665622
0.13173.0979987665711.58819444389598
0.14173.5890445695871.64279771609825
0.15174.0814945565821.65738605857586
0.16174.5657042265081.64589700898143
0.17175.0361084418471.62404954563607
0.18175.4912549939691.60571283387338
0.19175.9329593762381.60002914724048
0.2176.365129870031.61057633951219
0.21176.792747316581.63996409975316
0.22177.2212486143261.68880335815456
0.23177.6563217697781.75969221713377
0.24178.103979200081.85605518033419
0.25178.5707541089611.98166155179772
0.26179.0639132363792.14086839544602
0.27179.5916274033322.33928623215949
0.28180.1630445581232.58279820406425
0.29180.7881745841092.87674870927541
0.3181.4774670446673.223526368537
0.31182.2409929277233.61988933465102
0.32183.0872480151054.05528753985517
0.33184.0217500487614.50981265952416
0.34185.0457410036724.95813664035671
0.35186.1553630115745.37299913670659
0.36187.3416145340295.72851292314473
0.37188.591221182766.00670865002761
0.38189.8883237324716.20014819317291
0.39191.2166655388376.31348310641612
0.4192.5618182421146.36228315578692
0.41193.9129578432536.37001378043373
0.42195.2637982204336.36212784756038
0.43196.61247990516.36205427567225
0.44197.9604513154486.38322341448872
0.45199.3106117904196.42718609577176
0.46200.6651580143546.48251661762634
0.47202.023648740686.52840389367393
0.48203.3817600356576.53947224702479
0.49204.7310541245726.49259441671468
0.5206.0598643970716.37232449461309
0.51207.3551596331156.17605930301752
0.52208.6050478944845.91508773571087
0.53209.8014584464555.6148516740838
0.54210.9425181563255.31165872223612
0.55212.0342090834465.05042892651421
0.56213.0910269369884.87763400238032
0.57214.1355179328654.83574283160811
0.58215.1967229510424.95648647917756
0.59216.3076875793755.2523752697309
0.6217.5023057857755.7160784824086
0.61218.8118613407716.3191975621906
0.62220.2617142497597.01933335297722
0.63221.8686294890577.76403963656276
0.64223.639224185118.49852200955479
0.65225.5698776933259.17274513089299
0.66227.6481934783629.74828224479425
0.67229.85575843620610.2058227102866
0.68232.17160359085610.5441992254803
0.69234.57554738170110.7796649683238
0.7237.05059792493910.9380648684219
0.71239.58383697703311.0446116128423
0.72242.16565150288611.116091537528
0.73244.78769305565911.1545777523209
0.74247.44037918939411.1481136497087
0.75250.11097625207611.0760619847446
0.76252.78324023161310.9192310070326
0.77255.43921546734910.6680349406363
0.78258.06312772673610.3340638359454
0.79260.6464653838659.95329435687434
0.8263.1925473387559.58437767815611
0.81265.7184775790039.29360784177881
0.82268.2527468886689.13343069550057
0.83270.8280124290149.11390887219534
0.84273.470465055369.18901329141326
0.85276.1888872024869.26664638673203
0.86278.9670404931299.23787687294382
0.87281.7618769414829.01227294604302
0.88284.5077082376168.53892841742202
0.89287.1243084972587.81030371323201
0.9289.5264560623866.85386980948173
0.91291.6339557393155.72064781122894
0.92293.3833073206654.48463263617919
0.93294.7427262499333.24808860157123
0.94295.7301539060232.14035688279041
0.95296.4296756206291.30282368303758
0.96296.9944938661230.887587413195541
0.97297.6121837237210.969853268198558
0.98298.4023008752051.19716235606987
0.99299.2604257001251.09208645861572

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 169.561594952037 & 0.405338750045578 \tabularnewline
0.02 & 169.83536398512 & 0.282183113179743 \tabularnewline
0.03 & 170.054729598242 & 0.262519155262 \tabularnewline
0.04 & 170.233214998285 & 0.29564052039056 \tabularnewline
0.05 & 170.404857014265 & 0.365304713710485 \tabularnewline
0.06 & 170.593284244085 & 0.476319231276736 \tabularnewline
0.07 & 170.814616837601 & 0.623046869284579 \tabularnewline
0.08 & 171.079748270626 & 0.79393903044856 \tabularnewline
0.09 & 171.394387031569 & 0.979237686209983 \tabularnewline
0.1 & 171.759325497892 & 1.16715251303493 \tabularnewline
0.11 & 172.170816535841 & 1.34220675817665 \tabularnewline
0.12 & 172.62086216602 & 1.48681247665622 \tabularnewline
0.13 & 173.097998766571 & 1.58819444389598 \tabularnewline
0.14 & 173.589044569587 & 1.64279771609825 \tabularnewline
0.15 & 174.081494556582 & 1.65738605857586 \tabularnewline
0.16 & 174.565704226508 & 1.64589700898143 \tabularnewline
0.17 & 175.036108441847 & 1.62404954563607 \tabularnewline
0.18 & 175.491254993969 & 1.60571283387338 \tabularnewline
0.19 & 175.932959376238 & 1.60002914724048 \tabularnewline
0.2 & 176.36512987003 & 1.61057633951219 \tabularnewline
0.21 & 176.79274731658 & 1.63996409975316 \tabularnewline
0.22 & 177.221248614326 & 1.68880335815456 \tabularnewline
0.23 & 177.656321769778 & 1.75969221713377 \tabularnewline
0.24 & 178.10397920008 & 1.85605518033419 \tabularnewline
0.25 & 178.570754108961 & 1.98166155179772 \tabularnewline
0.26 & 179.063913236379 & 2.14086839544602 \tabularnewline
0.27 & 179.591627403332 & 2.33928623215949 \tabularnewline
0.28 & 180.163044558123 & 2.58279820406425 \tabularnewline
0.29 & 180.788174584109 & 2.87674870927541 \tabularnewline
0.3 & 181.477467044667 & 3.223526368537 \tabularnewline
0.31 & 182.240992927723 & 3.61988933465102 \tabularnewline
0.32 & 183.087248015105 & 4.05528753985517 \tabularnewline
0.33 & 184.021750048761 & 4.50981265952416 \tabularnewline
0.34 & 185.045741003672 & 4.95813664035671 \tabularnewline
0.35 & 186.155363011574 & 5.37299913670659 \tabularnewline
0.36 & 187.341614534029 & 5.72851292314473 \tabularnewline
0.37 & 188.59122118276 & 6.00670865002761 \tabularnewline
0.38 & 189.888323732471 & 6.20014819317291 \tabularnewline
0.39 & 191.216665538837 & 6.31348310641612 \tabularnewline
0.4 & 192.561818242114 & 6.36228315578692 \tabularnewline
0.41 & 193.912957843253 & 6.37001378043373 \tabularnewline
0.42 & 195.263798220433 & 6.36212784756038 \tabularnewline
0.43 & 196.6124799051 & 6.36205427567225 \tabularnewline
0.44 & 197.960451315448 & 6.38322341448872 \tabularnewline
0.45 & 199.310611790419 & 6.42718609577176 \tabularnewline
0.46 & 200.665158014354 & 6.48251661762634 \tabularnewline
0.47 & 202.02364874068 & 6.52840389367393 \tabularnewline
0.48 & 203.381760035657 & 6.53947224702479 \tabularnewline
0.49 & 204.731054124572 & 6.49259441671468 \tabularnewline
0.5 & 206.059864397071 & 6.37232449461309 \tabularnewline
0.51 & 207.355159633115 & 6.17605930301752 \tabularnewline
0.52 & 208.605047894484 & 5.91508773571087 \tabularnewline
0.53 & 209.801458446455 & 5.6148516740838 \tabularnewline
0.54 & 210.942518156325 & 5.31165872223612 \tabularnewline
0.55 & 212.034209083446 & 5.05042892651421 \tabularnewline
0.56 & 213.091026936988 & 4.87763400238032 \tabularnewline
0.57 & 214.135517932865 & 4.83574283160811 \tabularnewline
0.58 & 215.196722951042 & 4.95648647917756 \tabularnewline
0.59 & 216.307687579375 & 5.2523752697309 \tabularnewline
0.6 & 217.502305785775 & 5.7160784824086 \tabularnewline
0.61 & 218.811861340771 & 6.3191975621906 \tabularnewline
0.62 & 220.261714249759 & 7.01933335297722 \tabularnewline
0.63 & 221.868629489057 & 7.76403963656276 \tabularnewline
0.64 & 223.63922418511 & 8.49852200955479 \tabularnewline
0.65 & 225.569877693325 & 9.17274513089299 \tabularnewline
0.66 & 227.648193478362 & 9.74828224479425 \tabularnewline
0.67 & 229.855758436206 & 10.2058227102866 \tabularnewline
0.68 & 232.171603590856 & 10.5441992254803 \tabularnewline
0.69 & 234.575547381701 & 10.7796649683238 \tabularnewline
0.7 & 237.050597924939 & 10.9380648684219 \tabularnewline
0.71 & 239.583836977033 & 11.0446116128423 \tabularnewline
0.72 & 242.165651502886 & 11.116091537528 \tabularnewline
0.73 & 244.787693055659 & 11.1545777523209 \tabularnewline
0.74 & 247.440379189394 & 11.1481136497087 \tabularnewline
0.75 & 250.110976252076 & 11.0760619847446 \tabularnewline
0.76 & 252.783240231613 & 10.9192310070326 \tabularnewline
0.77 & 255.439215467349 & 10.6680349406363 \tabularnewline
0.78 & 258.063127726736 & 10.3340638359454 \tabularnewline
0.79 & 260.646465383865 & 9.95329435687434 \tabularnewline
0.8 & 263.192547338755 & 9.58437767815611 \tabularnewline
0.81 & 265.718477579003 & 9.29360784177881 \tabularnewline
0.82 & 268.252746888668 & 9.13343069550057 \tabularnewline
0.83 & 270.828012429014 & 9.11390887219534 \tabularnewline
0.84 & 273.47046505536 & 9.18901329141326 \tabularnewline
0.85 & 276.188887202486 & 9.26664638673203 \tabularnewline
0.86 & 278.967040493129 & 9.23787687294382 \tabularnewline
0.87 & 281.761876941482 & 9.01227294604302 \tabularnewline
0.88 & 284.507708237616 & 8.53892841742202 \tabularnewline
0.89 & 287.124308497258 & 7.81030371323201 \tabularnewline
0.9 & 289.526456062386 & 6.85386980948173 \tabularnewline
0.91 & 291.633955739315 & 5.72064781122894 \tabularnewline
0.92 & 293.383307320665 & 4.48463263617919 \tabularnewline
0.93 & 294.742726249933 & 3.24808860157123 \tabularnewline
0.94 & 295.730153906023 & 2.14035688279041 \tabularnewline
0.95 & 296.429675620629 & 1.30282368303758 \tabularnewline
0.96 & 296.994493866123 & 0.887587413195541 \tabularnewline
0.97 & 297.612183723721 & 0.969853268198558 \tabularnewline
0.98 & 298.402300875205 & 1.19716235606987 \tabularnewline
0.99 & 299.260425700125 & 1.09208645861572 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276973&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]169.561594952037[/C][C]0.405338750045578[/C][/ROW]
[ROW][C]0.02[/C][C]169.83536398512[/C][C]0.282183113179743[/C][/ROW]
[ROW][C]0.03[/C][C]170.054729598242[/C][C]0.262519155262[/C][/ROW]
[ROW][C]0.04[/C][C]170.233214998285[/C][C]0.29564052039056[/C][/ROW]
[ROW][C]0.05[/C][C]170.404857014265[/C][C]0.365304713710485[/C][/ROW]
[ROW][C]0.06[/C][C]170.593284244085[/C][C]0.476319231276736[/C][/ROW]
[ROW][C]0.07[/C][C]170.814616837601[/C][C]0.623046869284579[/C][/ROW]
[ROW][C]0.08[/C][C]171.079748270626[/C][C]0.79393903044856[/C][/ROW]
[ROW][C]0.09[/C][C]171.394387031569[/C][C]0.979237686209983[/C][/ROW]
[ROW][C]0.1[/C][C]171.759325497892[/C][C]1.16715251303493[/C][/ROW]
[ROW][C]0.11[/C][C]172.170816535841[/C][C]1.34220675817665[/C][/ROW]
[ROW][C]0.12[/C][C]172.62086216602[/C][C]1.48681247665622[/C][/ROW]
[ROW][C]0.13[/C][C]173.097998766571[/C][C]1.58819444389598[/C][/ROW]
[ROW][C]0.14[/C][C]173.589044569587[/C][C]1.64279771609825[/C][/ROW]
[ROW][C]0.15[/C][C]174.081494556582[/C][C]1.65738605857586[/C][/ROW]
[ROW][C]0.16[/C][C]174.565704226508[/C][C]1.64589700898143[/C][/ROW]
[ROW][C]0.17[/C][C]175.036108441847[/C][C]1.62404954563607[/C][/ROW]
[ROW][C]0.18[/C][C]175.491254993969[/C][C]1.60571283387338[/C][/ROW]
[ROW][C]0.19[/C][C]175.932959376238[/C][C]1.60002914724048[/C][/ROW]
[ROW][C]0.2[/C][C]176.36512987003[/C][C]1.61057633951219[/C][/ROW]
[ROW][C]0.21[/C][C]176.79274731658[/C][C]1.63996409975316[/C][/ROW]
[ROW][C]0.22[/C][C]177.221248614326[/C][C]1.68880335815456[/C][/ROW]
[ROW][C]0.23[/C][C]177.656321769778[/C][C]1.75969221713377[/C][/ROW]
[ROW][C]0.24[/C][C]178.10397920008[/C][C]1.85605518033419[/C][/ROW]
[ROW][C]0.25[/C][C]178.570754108961[/C][C]1.98166155179772[/C][/ROW]
[ROW][C]0.26[/C][C]179.063913236379[/C][C]2.14086839544602[/C][/ROW]
[ROW][C]0.27[/C][C]179.591627403332[/C][C]2.33928623215949[/C][/ROW]
[ROW][C]0.28[/C][C]180.163044558123[/C][C]2.58279820406425[/C][/ROW]
[ROW][C]0.29[/C][C]180.788174584109[/C][C]2.87674870927541[/C][/ROW]
[ROW][C]0.3[/C][C]181.477467044667[/C][C]3.223526368537[/C][/ROW]
[ROW][C]0.31[/C][C]182.240992927723[/C][C]3.61988933465102[/C][/ROW]
[ROW][C]0.32[/C][C]183.087248015105[/C][C]4.05528753985517[/C][/ROW]
[ROW][C]0.33[/C][C]184.021750048761[/C][C]4.50981265952416[/C][/ROW]
[ROW][C]0.34[/C][C]185.045741003672[/C][C]4.95813664035671[/C][/ROW]
[ROW][C]0.35[/C][C]186.155363011574[/C][C]5.37299913670659[/C][/ROW]
[ROW][C]0.36[/C][C]187.341614534029[/C][C]5.72851292314473[/C][/ROW]
[ROW][C]0.37[/C][C]188.59122118276[/C][C]6.00670865002761[/C][/ROW]
[ROW][C]0.38[/C][C]189.888323732471[/C][C]6.20014819317291[/C][/ROW]
[ROW][C]0.39[/C][C]191.216665538837[/C][C]6.31348310641612[/C][/ROW]
[ROW][C]0.4[/C][C]192.561818242114[/C][C]6.36228315578692[/C][/ROW]
[ROW][C]0.41[/C][C]193.912957843253[/C][C]6.37001378043373[/C][/ROW]
[ROW][C]0.42[/C][C]195.263798220433[/C][C]6.36212784756038[/C][/ROW]
[ROW][C]0.43[/C][C]196.6124799051[/C][C]6.36205427567225[/C][/ROW]
[ROW][C]0.44[/C][C]197.960451315448[/C][C]6.38322341448872[/C][/ROW]
[ROW][C]0.45[/C][C]199.310611790419[/C][C]6.42718609577176[/C][/ROW]
[ROW][C]0.46[/C][C]200.665158014354[/C][C]6.48251661762634[/C][/ROW]
[ROW][C]0.47[/C][C]202.02364874068[/C][C]6.52840389367393[/C][/ROW]
[ROW][C]0.48[/C][C]203.381760035657[/C][C]6.53947224702479[/C][/ROW]
[ROW][C]0.49[/C][C]204.731054124572[/C][C]6.49259441671468[/C][/ROW]
[ROW][C]0.5[/C][C]206.059864397071[/C][C]6.37232449461309[/C][/ROW]
[ROW][C]0.51[/C][C]207.355159633115[/C][C]6.17605930301752[/C][/ROW]
[ROW][C]0.52[/C][C]208.605047894484[/C][C]5.91508773571087[/C][/ROW]
[ROW][C]0.53[/C][C]209.801458446455[/C][C]5.6148516740838[/C][/ROW]
[ROW][C]0.54[/C][C]210.942518156325[/C][C]5.31165872223612[/C][/ROW]
[ROW][C]0.55[/C][C]212.034209083446[/C][C]5.05042892651421[/C][/ROW]
[ROW][C]0.56[/C][C]213.091026936988[/C][C]4.87763400238032[/C][/ROW]
[ROW][C]0.57[/C][C]214.135517932865[/C][C]4.83574283160811[/C][/ROW]
[ROW][C]0.58[/C][C]215.196722951042[/C][C]4.95648647917756[/C][/ROW]
[ROW][C]0.59[/C][C]216.307687579375[/C][C]5.2523752697309[/C][/ROW]
[ROW][C]0.6[/C][C]217.502305785775[/C][C]5.7160784824086[/C][/ROW]
[ROW][C]0.61[/C][C]218.811861340771[/C][C]6.3191975621906[/C][/ROW]
[ROW][C]0.62[/C][C]220.261714249759[/C][C]7.01933335297722[/C][/ROW]
[ROW][C]0.63[/C][C]221.868629489057[/C][C]7.76403963656276[/C][/ROW]
[ROW][C]0.64[/C][C]223.63922418511[/C][C]8.49852200955479[/C][/ROW]
[ROW][C]0.65[/C][C]225.569877693325[/C][C]9.17274513089299[/C][/ROW]
[ROW][C]0.66[/C][C]227.648193478362[/C][C]9.74828224479425[/C][/ROW]
[ROW][C]0.67[/C][C]229.855758436206[/C][C]10.2058227102866[/C][/ROW]
[ROW][C]0.68[/C][C]232.171603590856[/C][C]10.5441992254803[/C][/ROW]
[ROW][C]0.69[/C][C]234.575547381701[/C][C]10.7796649683238[/C][/ROW]
[ROW][C]0.7[/C][C]237.050597924939[/C][C]10.9380648684219[/C][/ROW]
[ROW][C]0.71[/C][C]239.583836977033[/C][C]11.0446116128423[/C][/ROW]
[ROW][C]0.72[/C][C]242.165651502886[/C][C]11.116091537528[/C][/ROW]
[ROW][C]0.73[/C][C]244.787693055659[/C][C]11.1545777523209[/C][/ROW]
[ROW][C]0.74[/C][C]247.440379189394[/C][C]11.1481136497087[/C][/ROW]
[ROW][C]0.75[/C][C]250.110976252076[/C][C]11.0760619847446[/C][/ROW]
[ROW][C]0.76[/C][C]252.783240231613[/C][C]10.9192310070326[/C][/ROW]
[ROW][C]0.77[/C][C]255.439215467349[/C][C]10.6680349406363[/C][/ROW]
[ROW][C]0.78[/C][C]258.063127726736[/C][C]10.3340638359454[/C][/ROW]
[ROW][C]0.79[/C][C]260.646465383865[/C][C]9.95329435687434[/C][/ROW]
[ROW][C]0.8[/C][C]263.192547338755[/C][C]9.58437767815611[/C][/ROW]
[ROW][C]0.81[/C][C]265.718477579003[/C][C]9.29360784177881[/C][/ROW]
[ROW][C]0.82[/C][C]268.252746888668[/C][C]9.13343069550057[/C][/ROW]
[ROW][C]0.83[/C][C]270.828012429014[/C][C]9.11390887219534[/C][/ROW]
[ROW][C]0.84[/C][C]273.47046505536[/C][C]9.18901329141326[/C][/ROW]
[ROW][C]0.85[/C][C]276.188887202486[/C][C]9.26664638673203[/C][/ROW]
[ROW][C]0.86[/C][C]278.967040493129[/C][C]9.23787687294382[/C][/ROW]
[ROW][C]0.87[/C][C]281.761876941482[/C][C]9.01227294604302[/C][/ROW]
[ROW][C]0.88[/C][C]284.507708237616[/C][C]8.53892841742202[/C][/ROW]
[ROW][C]0.89[/C][C]287.124308497258[/C][C]7.81030371323201[/C][/ROW]
[ROW][C]0.9[/C][C]289.526456062386[/C][C]6.85386980948173[/C][/ROW]
[ROW][C]0.91[/C][C]291.633955739315[/C][C]5.72064781122894[/C][/ROW]
[ROW][C]0.92[/C][C]293.383307320665[/C][C]4.48463263617919[/C][/ROW]
[ROW][C]0.93[/C][C]294.742726249933[/C][C]3.24808860157123[/C][/ROW]
[ROW][C]0.94[/C][C]295.730153906023[/C][C]2.14035688279041[/C][/ROW]
[ROW][C]0.95[/C][C]296.429675620629[/C][C]1.30282368303758[/C][/ROW]
[ROW][C]0.96[/C][C]296.994493866123[/C][C]0.887587413195541[/C][/ROW]
[ROW][C]0.97[/C][C]297.612183723721[/C][C]0.969853268198558[/C][/ROW]
[ROW][C]0.98[/C][C]298.402300875205[/C][C]1.19716235606987[/C][/ROW]
[ROW][C]0.99[/C][C]299.260425700125[/C][C]1.09208645861572[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276973&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276973&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
0.01169.5615949520370.405338750045578
0.02169.835363985120.282183113179743
0.03170.0547295982420.262519155262
0.04170.2332149982850.29564052039056
0.05170.4048570142650.365304713710485
0.06170.5932842440850.476319231276736
0.07170.8146168376010.623046869284579
0.08171.0797482706260.79393903044856
0.09171.3943870315690.979237686209983
0.1171.7593254978921.16715251303493
0.11172.1708165358411.34220675817665
0.12172.620862166021.48681247665622
0.13173.0979987665711.58819444389598
0.14173.5890445695871.64279771609825
0.15174.0814945565821.65738605857586
0.16174.5657042265081.64589700898143
0.17175.0361084418471.62404954563607
0.18175.4912549939691.60571283387338
0.19175.9329593762381.60002914724048
0.2176.365129870031.61057633951219
0.21176.792747316581.63996409975316
0.22177.2212486143261.68880335815456
0.23177.6563217697781.75969221713377
0.24178.103979200081.85605518033419
0.25178.5707541089611.98166155179772
0.26179.0639132363792.14086839544602
0.27179.5916274033322.33928623215949
0.28180.1630445581232.58279820406425
0.29180.7881745841092.87674870927541
0.3181.4774670446673.223526368537
0.31182.2409929277233.61988933465102
0.32183.0872480151054.05528753985517
0.33184.0217500487614.50981265952416
0.34185.0457410036724.95813664035671
0.35186.1553630115745.37299913670659
0.36187.3416145340295.72851292314473
0.37188.591221182766.00670865002761
0.38189.8883237324716.20014819317291
0.39191.2166655388376.31348310641612
0.4192.5618182421146.36228315578692
0.41193.9129578432536.37001378043373
0.42195.2637982204336.36212784756038
0.43196.61247990516.36205427567225
0.44197.9604513154486.38322341448872
0.45199.3106117904196.42718609577176
0.46200.6651580143546.48251661762634
0.47202.023648740686.52840389367393
0.48203.3817600356576.53947224702479
0.49204.7310541245726.49259441671468
0.5206.0598643970716.37232449461309
0.51207.3551596331156.17605930301752
0.52208.6050478944845.91508773571087
0.53209.8014584464555.6148516740838
0.54210.9425181563255.31165872223612
0.55212.0342090834465.05042892651421
0.56213.0910269369884.87763400238032
0.57214.1355179328654.83574283160811
0.58215.1967229510424.95648647917756
0.59216.3076875793755.2523752697309
0.6217.5023057857755.7160784824086
0.61218.8118613407716.3191975621906
0.62220.2617142497597.01933335297722
0.63221.8686294890577.76403963656276
0.64223.639224185118.49852200955479
0.65225.5698776933259.17274513089299
0.66227.6481934783629.74828224479425
0.67229.85575843620610.2058227102866
0.68232.17160359085610.5441992254803
0.69234.57554738170110.7796649683238
0.7237.05059792493910.9380648684219
0.71239.58383697703311.0446116128423
0.72242.16565150288611.116091537528
0.73244.78769305565911.1545777523209
0.74247.44037918939411.1481136497087
0.75250.11097625207611.0760619847446
0.76252.78324023161310.9192310070326
0.77255.43921546734910.6680349406363
0.78258.06312772673610.3340638359454
0.79260.6464653838659.95329435687434
0.8263.1925473387559.58437767815611
0.81265.7184775790039.29360784177881
0.82268.2527468886689.13343069550057
0.83270.8280124290149.11390887219534
0.84273.470465055369.18901329141326
0.85276.1888872024869.26664638673203
0.86278.9670404931299.23787687294382
0.87281.7618769414829.01227294604302
0.88284.5077082376168.53892841742202
0.89287.1243084972587.81030371323201
0.9289.5264560623866.85386980948173
0.91291.6339557393155.72064781122894
0.92293.3833073206654.48463263617919
0.93294.7427262499333.24808860157123
0.94295.7301539060232.14035688279041
0.95296.4296756206291.30282368303758
0.96296.9944938661230.887587413195541
0.97297.6121837237210.969853268198558
0.98298.4023008752051.19716235606987
0.99299.2604257001251.09208645861572


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')