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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 08 Oct 2013 03:19:16 -0400
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/Oct/08/t1381216795fu28vcgqq0lyamh.htm/, Retrieved Mon, 29 Apr 2024 18:47:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213806, Retrieved Mon, 29 Apr 2024 18:47:06 +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] [Harrell-Davis] [2013-10-08 07:19:16] [e7e94b653c867545bbece887609dba22] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
191.835
266.793
246.542
330.563
403.556
208.108
324.04
308.532
199.297
200.156
262.875
287.069
190.157
199.746
265.777
435.956
72.844
756.46
206.771
4202.361
401.422
216.046
39.047
441.437

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'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213806&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213806&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213806&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0142.968182021994935.9132638531742
0.0248.869014587703841.106780610071
0.0356.61148506051847.257692193191
0.0465.917736060571953.3308861709308
0.0576.420667862226958.3711013800692
0.0687.711595081799561.7161511914355
0.0799.38059709108163.0481134987286
0.08111.04768439204662.3571036640804
0.09122.38448973922959.8655937666763
0.1133.12712269765755.9417684146459
0.11143.08134310751251.0184097504323
0.12152.12148209526945.5282192300924
0.13160.18465801670439.858300025844
0.14167.26183486796834.3241621333226
0.15173.38716654195829.1606304126569
0.16178.62687668610524.5237908225569
0.17183.06866519714720.5024015670772
0.18186.81234122897717.132103966015
0.19189.96209367032514.411175439667
0.2192.62055322541212.3135007461897
0.21194.88459584760110.7986173885568
0.22196.8426945341019.8153473258635
0.23198.5735444831689.30218029080219
0.24200.1456570307939.19002100539122
0.25201.6176281756219.40724091802998
0.26203.0388242909259.88848005376204
0.27204.45027834147710.5788878424559
0.28205.88564453604911.4344933390781
0.29207.37211075054612.4197155493103
0.3208.93121196702413.5044463010768
0.31210.57952243852414.6614534492701
0.32212.329229060715.8653521160055
0.33214.18860434233717.0909155020663
0.34216.16240581692518.3137470272532
0.35218.2522313147919.5100581573782
0.36220.45685776113820.6573582619915
0.37222.77258645250621.735074854246
0.38225.19361125458922.7251584135034
0.39227.71241881536323.6129971454058
0.4230.32022247625924.3881267565817
0.41233.00742471618525.0445852856439
0.42235.76409717090825.5815497601307
0.43238.58046290168526.0034776102713
0.44241.44736288497926.3197165397028
0.45244.3566877713726.544429074984
0.46247.30175679268626.6961435314456
0.47250.27762812268926.7964648492678
0.48253.28132873411426.8696857529295
0.49256.31199645453926.9405455780057
0.5259.37093204421627.0339955355375
0.51262.46156420752327.1733764625536
0.52265.58933502908727.3786076806376
0.53268.7615169826327.6666720036812
0.54271.9869750925728.0494084549795
0.55275.27588888061928.5348526354611
0.56278.6394484219329.1262024628333
0.57282.08953737324429.8229727953595
0.58285.63841360449130.622304968956
0.59289.29839560923431.5181683826196
0.6293.08156085392732.5035132886422
0.61296.99946139372333.5699676093778
0.62301.06286320553234.7076220165039
0.63305.28151952941535.9056033886049
0.64309.66399580077237.1510247388046
0.65314.2175752183938.4287634627975
0.66318.94829040015939.7216428455943
0.67323.86114888657941.0100427396655
0.68328.96064981657442.2722972561631
0.69334.25172797175743.4865324236846
0.7339.74131269113244.6328113897507
0.71345.44075751864945.695691526722
0.72351.36948833525946.6699156807132
0.73357.56034157996347.5663473948428
0.74364.06722989092748.4218082327057
0.75370.97598985279449.3116555888842
0.76378.41954154451550.369316500049
0.77386.59881796453751.8135594537045
0.78395.81127883417453.9879865547683
0.79406.48914545923357.4094595688479
0.8419.24966088213862.8222336642585
0.81434.95948951568171.2424412848287
0.82454.81451491744183.9868503397202
0.83480.434351280096102.700782130476
0.84513.967339414177129.415521940825
0.85558.196124350543166.6381120502
0.86616.625736023457217.444112122574
0.87693.525479985555285.522580409463
0.88793.8837975272375.126413586432
0.89923.223816380675490.884124330534
0.91087.22063195256637.430466087893
0.911291.06550704245818.820742765753
0.921538.544876032761037.7160201386
0.931830.851246052321294.37178328553
0.942165.224139093671585.53222807539
0.952533.630362915761903.42503550381
0.962921.819671398232235.1413898964
0.973309.201809179022562.76423087519
0.983670.031427350482864.60771725416
0.993976.290803668193117.81886871732

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 42.9681820219949 & 35.9132638531742 \tabularnewline
0.02 & 48.8690145877038 & 41.106780610071 \tabularnewline
0.03 & 56.611485060518 & 47.257692193191 \tabularnewline
0.04 & 65.9177360605719 & 53.3308861709308 \tabularnewline
0.05 & 76.4206678622269 & 58.3711013800692 \tabularnewline
0.06 & 87.7115950817995 & 61.7161511914355 \tabularnewline
0.07 & 99.380597091081 & 63.0481134987286 \tabularnewline
0.08 & 111.047684392046 & 62.3571036640804 \tabularnewline
0.09 & 122.384489739229 & 59.8655937666763 \tabularnewline
0.1 & 133.127122697657 & 55.9417684146459 \tabularnewline
0.11 & 143.081343107512 & 51.0184097504323 \tabularnewline
0.12 & 152.121482095269 & 45.5282192300924 \tabularnewline
0.13 & 160.184658016704 & 39.858300025844 \tabularnewline
0.14 & 167.261834867968 & 34.3241621333226 \tabularnewline
0.15 & 173.387166541958 & 29.1606304126569 \tabularnewline
0.16 & 178.626876686105 & 24.5237908225569 \tabularnewline
0.17 & 183.068665197147 & 20.5024015670772 \tabularnewline
0.18 & 186.812341228977 & 17.132103966015 \tabularnewline
0.19 & 189.962093670325 & 14.411175439667 \tabularnewline
0.2 & 192.620553225412 & 12.3135007461897 \tabularnewline
0.21 & 194.884595847601 & 10.7986173885568 \tabularnewline
0.22 & 196.842694534101 & 9.8153473258635 \tabularnewline
0.23 & 198.573544483168 & 9.30218029080219 \tabularnewline
0.24 & 200.145657030793 & 9.19002100539122 \tabularnewline
0.25 & 201.617628175621 & 9.40724091802998 \tabularnewline
0.26 & 203.038824290925 & 9.88848005376204 \tabularnewline
0.27 & 204.450278341477 & 10.5788878424559 \tabularnewline
0.28 & 205.885644536049 & 11.4344933390781 \tabularnewline
0.29 & 207.372110750546 & 12.4197155493103 \tabularnewline
0.3 & 208.931211967024 & 13.5044463010768 \tabularnewline
0.31 & 210.579522438524 & 14.6614534492701 \tabularnewline
0.32 & 212.3292290607 & 15.8653521160055 \tabularnewline
0.33 & 214.188604342337 & 17.0909155020663 \tabularnewline
0.34 & 216.162405816925 & 18.3137470272532 \tabularnewline
0.35 & 218.25223131479 & 19.5100581573782 \tabularnewline
0.36 & 220.456857761138 & 20.6573582619915 \tabularnewline
0.37 & 222.772586452506 & 21.735074854246 \tabularnewline
0.38 & 225.193611254589 & 22.7251584135034 \tabularnewline
0.39 & 227.712418815363 & 23.6129971454058 \tabularnewline
0.4 & 230.320222476259 & 24.3881267565817 \tabularnewline
0.41 & 233.007424716185 & 25.0445852856439 \tabularnewline
0.42 & 235.764097170908 & 25.5815497601307 \tabularnewline
0.43 & 238.580462901685 & 26.0034776102713 \tabularnewline
0.44 & 241.447362884979 & 26.3197165397028 \tabularnewline
0.45 & 244.35668777137 & 26.544429074984 \tabularnewline
0.46 & 247.301756792686 & 26.6961435314456 \tabularnewline
0.47 & 250.277628122689 & 26.7964648492678 \tabularnewline
0.48 & 253.281328734114 & 26.8696857529295 \tabularnewline
0.49 & 256.311996454539 & 26.9405455780057 \tabularnewline
0.5 & 259.370932044216 & 27.0339955355375 \tabularnewline
0.51 & 262.461564207523 & 27.1733764625536 \tabularnewline
0.52 & 265.589335029087 & 27.3786076806376 \tabularnewline
0.53 & 268.76151698263 & 27.6666720036812 \tabularnewline
0.54 & 271.98697509257 & 28.0494084549795 \tabularnewline
0.55 & 275.275888880619 & 28.5348526354611 \tabularnewline
0.56 & 278.63944842193 & 29.1262024628333 \tabularnewline
0.57 & 282.089537373244 & 29.8229727953595 \tabularnewline
0.58 & 285.638413604491 & 30.622304968956 \tabularnewline
0.59 & 289.298395609234 & 31.5181683826196 \tabularnewline
0.6 & 293.081560853927 & 32.5035132886422 \tabularnewline
0.61 & 296.999461393723 & 33.5699676093778 \tabularnewline
0.62 & 301.062863205532 & 34.7076220165039 \tabularnewline
0.63 & 305.281519529415 & 35.9056033886049 \tabularnewline
0.64 & 309.663995800772 & 37.1510247388046 \tabularnewline
0.65 & 314.21757521839 & 38.4287634627975 \tabularnewline
0.66 & 318.948290400159 & 39.7216428455943 \tabularnewline
0.67 & 323.861148886579 & 41.0100427396655 \tabularnewline
0.68 & 328.960649816574 & 42.2722972561631 \tabularnewline
0.69 & 334.251727971757 & 43.4865324236846 \tabularnewline
0.7 & 339.741312691132 & 44.6328113897507 \tabularnewline
0.71 & 345.440757518649 & 45.695691526722 \tabularnewline
0.72 & 351.369488335259 & 46.6699156807132 \tabularnewline
0.73 & 357.560341579963 & 47.5663473948428 \tabularnewline
0.74 & 364.067229890927 & 48.4218082327057 \tabularnewline
0.75 & 370.975989852794 & 49.3116555888842 \tabularnewline
0.76 & 378.419541544515 & 50.369316500049 \tabularnewline
0.77 & 386.598817964537 & 51.8135594537045 \tabularnewline
0.78 & 395.811278834174 & 53.9879865547683 \tabularnewline
0.79 & 406.489145459233 & 57.4094595688479 \tabularnewline
0.8 & 419.249660882138 & 62.8222336642585 \tabularnewline
0.81 & 434.959489515681 & 71.2424412848287 \tabularnewline
0.82 & 454.814514917441 & 83.9868503397202 \tabularnewline
0.83 & 480.434351280096 & 102.700782130476 \tabularnewline
0.84 & 513.967339414177 & 129.415521940825 \tabularnewline
0.85 & 558.196124350543 & 166.6381120502 \tabularnewline
0.86 & 616.625736023457 & 217.444112122574 \tabularnewline
0.87 & 693.525479985555 & 285.522580409463 \tabularnewline
0.88 & 793.8837975272 & 375.126413586432 \tabularnewline
0.89 & 923.223816380675 & 490.884124330534 \tabularnewline
0.9 & 1087.22063195256 & 637.430466087893 \tabularnewline
0.91 & 1291.06550704245 & 818.820742765753 \tabularnewline
0.92 & 1538.54487603276 & 1037.7160201386 \tabularnewline
0.93 & 1830.85124605232 & 1294.37178328553 \tabularnewline
0.94 & 2165.22413909367 & 1585.53222807539 \tabularnewline
0.95 & 2533.63036291576 & 1903.42503550381 \tabularnewline
0.96 & 2921.81967139823 & 2235.1413898964 \tabularnewline
0.97 & 3309.20180917902 & 2562.76423087519 \tabularnewline
0.98 & 3670.03142735048 & 2864.60771725416 \tabularnewline
0.99 & 3976.29080366819 & 3117.81886871732 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213806&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]42.9681820219949[/C][C]35.9132638531742[/C][/ROW]
[ROW][C]0.02[/C][C]48.8690145877038[/C][C]41.106780610071[/C][/ROW]
[ROW][C]0.03[/C][C]56.611485060518[/C][C]47.257692193191[/C][/ROW]
[ROW][C]0.04[/C][C]65.9177360605719[/C][C]53.3308861709308[/C][/ROW]
[ROW][C]0.05[/C][C]76.4206678622269[/C][C]58.3711013800692[/C][/ROW]
[ROW][C]0.06[/C][C]87.7115950817995[/C][C]61.7161511914355[/C][/ROW]
[ROW][C]0.07[/C][C]99.380597091081[/C][C]63.0481134987286[/C][/ROW]
[ROW][C]0.08[/C][C]111.047684392046[/C][C]62.3571036640804[/C][/ROW]
[ROW][C]0.09[/C][C]122.384489739229[/C][C]59.8655937666763[/C][/ROW]
[ROW][C]0.1[/C][C]133.127122697657[/C][C]55.9417684146459[/C][/ROW]
[ROW][C]0.11[/C][C]143.081343107512[/C][C]51.0184097504323[/C][/ROW]
[ROW][C]0.12[/C][C]152.121482095269[/C][C]45.5282192300924[/C][/ROW]
[ROW][C]0.13[/C][C]160.184658016704[/C][C]39.858300025844[/C][/ROW]
[ROW][C]0.14[/C][C]167.261834867968[/C][C]34.3241621333226[/C][/ROW]
[ROW][C]0.15[/C][C]173.387166541958[/C][C]29.1606304126569[/C][/ROW]
[ROW][C]0.16[/C][C]178.626876686105[/C][C]24.5237908225569[/C][/ROW]
[ROW][C]0.17[/C][C]183.068665197147[/C][C]20.5024015670772[/C][/ROW]
[ROW][C]0.18[/C][C]186.812341228977[/C][C]17.132103966015[/C][/ROW]
[ROW][C]0.19[/C][C]189.962093670325[/C][C]14.411175439667[/C][/ROW]
[ROW][C]0.2[/C][C]192.620553225412[/C][C]12.3135007461897[/C][/ROW]
[ROW][C]0.21[/C][C]194.884595847601[/C][C]10.7986173885568[/C][/ROW]
[ROW][C]0.22[/C][C]196.842694534101[/C][C]9.8153473258635[/C][/ROW]
[ROW][C]0.23[/C][C]198.573544483168[/C][C]9.30218029080219[/C][/ROW]
[ROW][C]0.24[/C][C]200.145657030793[/C][C]9.19002100539122[/C][/ROW]
[ROW][C]0.25[/C][C]201.617628175621[/C][C]9.40724091802998[/C][/ROW]
[ROW][C]0.26[/C][C]203.038824290925[/C][C]9.88848005376204[/C][/ROW]
[ROW][C]0.27[/C][C]204.450278341477[/C][C]10.5788878424559[/C][/ROW]
[ROW][C]0.28[/C][C]205.885644536049[/C][C]11.4344933390781[/C][/ROW]
[ROW][C]0.29[/C][C]207.372110750546[/C][C]12.4197155493103[/C][/ROW]
[ROW][C]0.3[/C][C]208.931211967024[/C][C]13.5044463010768[/C][/ROW]
[ROW][C]0.31[/C][C]210.579522438524[/C][C]14.6614534492701[/C][/ROW]
[ROW][C]0.32[/C][C]212.3292290607[/C][C]15.8653521160055[/C][/ROW]
[ROW][C]0.33[/C][C]214.188604342337[/C][C]17.0909155020663[/C][/ROW]
[ROW][C]0.34[/C][C]216.162405816925[/C][C]18.3137470272532[/C][/ROW]
[ROW][C]0.35[/C][C]218.25223131479[/C][C]19.5100581573782[/C][/ROW]
[ROW][C]0.36[/C][C]220.456857761138[/C][C]20.6573582619915[/C][/ROW]
[ROW][C]0.37[/C][C]222.772586452506[/C][C]21.735074854246[/C][/ROW]
[ROW][C]0.38[/C][C]225.193611254589[/C][C]22.7251584135034[/C][/ROW]
[ROW][C]0.39[/C][C]227.712418815363[/C][C]23.6129971454058[/C][/ROW]
[ROW][C]0.4[/C][C]230.320222476259[/C][C]24.3881267565817[/C][/ROW]
[ROW][C]0.41[/C][C]233.007424716185[/C][C]25.0445852856439[/C][/ROW]
[ROW][C]0.42[/C][C]235.764097170908[/C][C]25.5815497601307[/C][/ROW]
[ROW][C]0.43[/C][C]238.580462901685[/C][C]26.0034776102713[/C][/ROW]
[ROW][C]0.44[/C][C]241.447362884979[/C][C]26.3197165397028[/C][/ROW]
[ROW][C]0.45[/C][C]244.35668777137[/C][C]26.544429074984[/C][/ROW]
[ROW][C]0.46[/C][C]247.301756792686[/C][C]26.6961435314456[/C][/ROW]
[ROW][C]0.47[/C][C]250.277628122689[/C][C]26.7964648492678[/C][/ROW]
[ROW][C]0.48[/C][C]253.281328734114[/C][C]26.8696857529295[/C][/ROW]
[ROW][C]0.49[/C][C]256.311996454539[/C][C]26.9405455780057[/C][/ROW]
[ROW][C]0.5[/C][C]259.370932044216[/C][C]27.0339955355375[/C][/ROW]
[ROW][C]0.51[/C][C]262.461564207523[/C][C]27.1733764625536[/C][/ROW]
[ROW][C]0.52[/C][C]265.589335029087[/C][C]27.3786076806376[/C][/ROW]
[ROW][C]0.53[/C][C]268.76151698263[/C][C]27.6666720036812[/C][/ROW]
[ROW][C]0.54[/C][C]271.98697509257[/C][C]28.0494084549795[/C][/ROW]
[ROW][C]0.55[/C][C]275.275888880619[/C][C]28.5348526354611[/C][/ROW]
[ROW][C]0.56[/C][C]278.63944842193[/C][C]29.1262024628333[/C][/ROW]
[ROW][C]0.57[/C][C]282.089537373244[/C][C]29.8229727953595[/C][/ROW]
[ROW][C]0.58[/C][C]285.638413604491[/C][C]30.622304968956[/C][/ROW]
[ROW][C]0.59[/C][C]289.298395609234[/C][C]31.5181683826196[/C][/ROW]
[ROW][C]0.6[/C][C]293.081560853927[/C][C]32.5035132886422[/C][/ROW]
[ROW][C]0.61[/C][C]296.999461393723[/C][C]33.5699676093778[/C][/ROW]
[ROW][C]0.62[/C][C]301.062863205532[/C][C]34.7076220165039[/C][/ROW]
[ROW][C]0.63[/C][C]305.281519529415[/C][C]35.9056033886049[/C][/ROW]
[ROW][C]0.64[/C][C]309.663995800772[/C][C]37.1510247388046[/C][/ROW]
[ROW][C]0.65[/C][C]314.21757521839[/C][C]38.4287634627975[/C][/ROW]
[ROW][C]0.66[/C][C]318.948290400159[/C][C]39.7216428455943[/C][/ROW]
[ROW][C]0.67[/C][C]323.861148886579[/C][C]41.0100427396655[/C][/ROW]
[ROW][C]0.68[/C][C]328.960649816574[/C][C]42.2722972561631[/C][/ROW]
[ROW][C]0.69[/C][C]334.251727971757[/C][C]43.4865324236846[/C][/ROW]
[ROW][C]0.7[/C][C]339.741312691132[/C][C]44.6328113897507[/C][/ROW]
[ROW][C]0.71[/C][C]345.440757518649[/C][C]45.695691526722[/C][/ROW]
[ROW][C]0.72[/C][C]351.369488335259[/C][C]46.6699156807132[/C][/ROW]
[ROW][C]0.73[/C][C]357.560341579963[/C][C]47.5663473948428[/C][/ROW]
[ROW][C]0.74[/C][C]364.067229890927[/C][C]48.4218082327057[/C][/ROW]
[ROW][C]0.75[/C][C]370.975989852794[/C][C]49.3116555888842[/C][/ROW]
[ROW][C]0.76[/C][C]378.419541544515[/C][C]50.369316500049[/C][/ROW]
[ROW][C]0.77[/C][C]386.598817964537[/C][C]51.8135594537045[/C][/ROW]
[ROW][C]0.78[/C][C]395.811278834174[/C][C]53.9879865547683[/C][/ROW]
[ROW][C]0.79[/C][C]406.489145459233[/C][C]57.4094595688479[/C][/ROW]
[ROW][C]0.8[/C][C]419.249660882138[/C][C]62.8222336642585[/C][/ROW]
[ROW][C]0.81[/C][C]434.959489515681[/C][C]71.2424412848287[/C][/ROW]
[ROW][C]0.82[/C][C]454.814514917441[/C][C]83.9868503397202[/C][/ROW]
[ROW][C]0.83[/C][C]480.434351280096[/C][C]102.700782130476[/C][/ROW]
[ROW][C]0.84[/C][C]513.967339414177[/C][C]129.415521940825[/C][/ROW]
[ROW][C]0.85[/C][C]558.196124350543[/C][C]166.6381120502[/C][/ROW]
[ROW][C]0.86[/C][C]616.625736023457[/C][C]217.444112122574[/C][/ROW]
[ROW][C]0.87[/C][C]693.525479985555[/C][C]285.522580409463[/C][/ROW]
[ROW][C]0.88[/C][C]793.8837975272[/C][C]375.126413586432[/C][/ROW]
[ROW][C]0.89[/C][C]923.223816380675[/C][C]490.884124330534[/C][/ROW]
[ROW][C]0.9[/C][C]1087.22063195256[/C][C]637.430466087893[/C][/ROW]
[ROW][C]0.91[/C][C]1291.06550704245[/C][C]818.820742765753[/C][/ROW]
[ROW][C]0.92[/C][C]1538.54487603276[/C][C]1037.7160201386[/C][/ROW]
[ROW][C]0.93[/C][C]1830.85124605232[/C][C]1294.37178328553[/C][/ROW]
[ROW][C]0.94[/C][C]2165.22413909367[/C][C]1585.53222807539[/C][/ROW]
[ROW][C]0.95[/C][C]2533.63036291576[/C][C]1903.42503550381[/C][/ROW]
[ROW][C]0.96[/C][C]2921.81967139823[/C][C]2235.1413898964[/C][/ROW]
[ROW][C]0.97[/C][C]3309.20180917902[/C][C]2562.76423087519[/C][/ROW]
[ROW][C]0.98[/C][C]3670.03142735048[/C][C]2864.60771725416[/C][/ROW]
[ROW][C]0.99[/C][C]3976.29080366819[/C][C]3117.81886871732[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213806&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213806&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
0.0142.968182021994935.9132638531742
0.0248.869014587703841.106780610071
0.0356.61148506051847.257692193191
0.0465.917736060571953.3308861709308
0.0576.420667862226958.3711013800692
0.0687.711595081799561.7161511914355
0.0799.38059709108163.0481134987286
0.08111.04768439204662.3571036640804
0.09122.38448973922959.8655937666763
0.1133.12712269765755.9417684146459
0.11143.08134310751251.0184097504323
0.12152.12148209526945.5282192300924
0.13160.18465801670439.858300025844
0.14167.26183486796834.3241621333226
0.15173.38716654195829.1606304126569
0.16178.62687668610524.5237908225569
0.17183.06866519714720.5024015670772
0.18186.81234122897717.132103966015
0.19189.96209367032514.411175439667
0.2192.62055322541212.3135007461897
0.21194.88459584760110.7986173885568
0.22196.8426945341019.8153473258635
0.23198.5735444831689.30218029080219
0.24200.1456570307939.19002100539122
0.25201.6176281756219.40724091802998
0.26203.0388242909259.88848005376204
0.27204.45027834147710.5788878424559
0.28205.88564453604911.4344933390781
0.29207.37211075054612.4197155493103
0.3208.93121196702413.5044463010768
0.31210.57952243852414.6614534492701
0.32212.329229060715.8653521160055
0.33214.18860434233717.0909155020663
0.34216.16240581692518.3137470272532
0.35218.2522313147919.5100581573782
0.36220.45685776113820.6573582619915
0.37222.77258645250621.735074854246
0.38225.19361125458922.7251584135034
0.39227.71241881536323.6129971454058
0.4230.32022247625924.3881267565817
0.41233.00742471618525.0445852856439
0.42235.76409717090825.5815497601307
0.43238.58046290168526.0034776102713
0.44241.44736288497926.3197165397028
0.45244.3566877713726.544429074984
0.46247.30175679268626.6961435314456
0.47250.27762812268926.7964648492678
0.48253.28132873411426.8696857529295
0.49256.31199645453926.9405455780057
0.5259.37093204421627.0339955355375
0.51262.46156420752327.1733764625536
0.52265.58933502908727.3786076806376
0.53268.7615169826327.6666720036812
0.54271.9869750925728.0494084549795
0.55275.27588888061928.5348526354611
0.56278.6394484219329.1262024628333
0.57282.08953737324429.8229727953595
0.58285.63841360449130.622304968956
0.59289.29839560923431.5181683826196
0.6293.08156085392732.5035132886422
0.61296.99946139372333.5699676093778
0.62301.06286320553234.7076220165039
0.63305.28151952941535.9056033886049
0.64309.66399580077237.1510247388046
0.65314.2175752183938.4287634627975
0.66318.94829040015939.7216428455943
0.67323.86114888657941.0100427396655
0.68328.96064981657442.2722972561631
0.69334.25172797175743.4865324236846
0.7339.74131269113244.6328113897507
0.71345.44075751864945.695691526722
0.72351.36948833525946.6699156807132
0.73357.56034157996347.5663473948428
0.74364.06722989092748.4218082327057
0.75370.97598985279449.3116555888842
0.76378.41954154451550.369316500049
0.77386.59881796453751.8135594537045
0.78395.81127883417453.9879865547683
0.79406.48914545923357.4094595688479
0.8419.24966088213862.8222336642585
0.81434.95948951568171.2424412848287
0.82454.81451491744183.9868503397202
0.83480.434351280096102.700782130476
0.84513.967339414177129.415521940825
0.85558.196124350543166.6381120502
0.86616.625736023457217.444112122574
0.87693.525479985555285.522580409463
0.88793.8837975272375.126413586432
0.89923.223816380675490.884124330534
0.91087.22063195256637.430466087893
0.911291.06550704245818.820742765753
0.921538.544876032761037.7160201386
0.931830.851246052321294.37178328553
0.942165.224139093671585.53222807539
0.952533.630362915761903.42503550381
0.962921.819671398232235.1413898964
0.973309.201809179022562.76423087519
0.983670.031427350482864.60771725416
0.993976.290803668193117.81886871732


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')