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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 computationThu, 03 Oct 2013 12:54:48 -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/03/t1380819421ipl6kaxq226l5g6.htm/, Retrieved Thu, 02 May 2024 11:39:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212933, Retrieved Thu, 02 May 2024 11:39:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact112

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] [] [2013-10-03 16:54:48] [354a1e9bb909abf3036d55f04d250334] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
15579
16348
15928
16171
15937
15713
15594
15683
16438
17032
17696
17745
19394
20148
20108
18584
18441
18391
19178
18079
18483
19644
19195
19650
20830
23595
22937
21814
21928
21777
21383
21467
22052
22680
24320
24977
25204
25739
26434
27525
30695
32436
30160
30236
31293
31077
32226
33865
32810
32242
32700
32819
33947
34148
35261
39506
41591
39148
41216
40225
41126
42362
40740
40256
39804
41002
41702
42254
43605
43271
43221
41373

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'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212933&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212933&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212933&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0115592.609272027837.818071878404
0.0215622.70436485374.9207745184522
0.0315669.0122968434115.866528631074
0.0415730.2197640148160.6192403012
0.0515805.7403133781211.506883757993
0.0615896.1161397951270.999939747692
0.0716002.7501755511341.29149407621
0.0816127.3607988156422.464843581917
0.0916271.2724140185510.977814491601
0.116434.6665882043599.857893341884
0.1116616.0246127496680.269488122345
0.1216811.9840488986743.93574987092
0.1317017.6879657176785.269313001117
0.1417227.5236723895802.58560750949
0.1517436.0239747546798.300547441378
0.1617638.6797556548778.029422966623
0.1717832.4765365178749.091561141452
0.1818016.0776902041718.798311326458
0.1918189.6855086607693.264724852822
0.218354.6841088808676.604945010216
0.2118513.1927137284670.641532801684
0.2218667.6410327462675.464640495806
0.2318820.4376981625689.89549956742
0.2418973.7567324879712.407146516614
0.2519129.4299724879741.443864755178
0.2619288.9125926634775.673498808918
0.2719453.2852901417813.73593965195
0.2819623.2664338675854.27037882598
0.2919799.2239204992895.500054758411
0.319981.1924281177935.679640294765
0.3120168.91146168973.04871132895
0.3220361.90015026511006.36544164063
0.3320559.57666862021035.1999163563
0.3420761.41675272031060.31806436335
0.3520967.13192913271083.71507436063
0.3621176.83851561361108.47299016413
0.3721391.18631180511138.43081244488
0.3821611.42187423861177.63077904212
0.3921839.37356043061229.62091869451
0.422077.36054263771296.89189573225
0.4122328.04152316511380.58324573826
0.4222594.227378221480.52785925241
0.4322878.68354054231595.30284678757
0.4423183.94289131911722.69382538353
0.4523512.14056413881859.92370284376
0.4623864.87192076432003.61742222942
0.4724243.06772726412150.08444935683
0.4824646.87888179142295.00916916049
0.4925075.56763390532433.46496311138
0.525527.41156307342559.79503762019
0.5125999.63728572842667.78801230184
0.5226488.4087611542751.24339195188
0.5326988.89654739892804.35038186847
0.5427495.44762569132822.59920723772
0.5528001.86123178842803.20969573913
0.5628501.75774113252746.04262694032
0.5728989.00982174062653.47634407227
0.5829458.19260085132530.6557160863
0.5929905.00576899592385.01962376244
0.630326.62603633182225.71000711631
0.6130721.96098747422062.94154961436
0.6231091.79085042791907.28032856225
0.6331438.79798677771769.28493530843
0.6431767.49095567671658.94129855066
0.6532084.02908318651585.29893957587
0.6632395.94595638531555.90286931816
0.6732711.76052138761575.82683790016
0.6833040.45886479111646.43817151087
0.6933390.83493059451764.36824132731
0.733770.69899453921921.39402506062
0.7134185.99892994272104.47221453307
0.7234639.94522918512296.48416111841
0.7335132.27402474072477.49561823666
0.7435658.80628836162626.50605798573
0.7536211.44975797842724.07405003615
0.7636778.73382065752755.01101246072
0.7737346.87071586362711.02402099377
0.7837901.21913563572592.12941821163
0.7938427.92130823762406.95247163886
0.838915.42743096562171.38821322498
0.8139355.63651049631905.90686544359
0.8239744.472266781632.11561685382
0.8340081.8520215481369.50967365007
0.8440371.15101591361133.07260021291
0.8540618.3668519136932.222025574002
0.8640831.2174171789771.140395028193
0.8741018.3587813761650.197896518667
0.8841188.8144426962567.543059046824
0.8941351.6052380246520.031411997569
0.941515.4899985808503.423919746331
0.9141688.6671673198511.932901216179
0.9241878.2197680788538.21610866535
0.9342089.0328478146573.073890383051
0.9442322.0642947265603.602686977504
0.9542572.5288486018610.709018936743
0.9642829.6286244977572.271371580956
0.9743079.2566145448480.048107837236
0.9843306.9665779309367.863201296253
0.9943493.3813621614313.362887439082

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 15592.6092720278 & 37.818071878404 \tabularnewline
0.02 & 15622.704364853 & 74.9207745184522 \tabularnewline
0.03 & 15669.0122968434 & 115.866528631074 \tabularnewline
0.04 & 15730.2197640148 & 160.6192403012 \tabularnewline
0.05 & 15805.7403133781 & 211.506883757993 \tabularnewline
0.06 & 15896.1161397951 & 270.999939747692 \tabularnewline
0.07 & 16002.7501755511 & 341.29149407621 \tabularnewline
0.08 & 16127.3607988156 & 422.464843581917 \tabularnewline
0.09 & 16271.2724140185 & 510.977814491601 \tabularnewline
0.1 & 16434.6665882043 & 599.857893341884 \tabularnewline
0.11 & 16616.0246127496 & 680.269488122345 \tabularnewline
0.12 & 16811.9840488986 & 743.93574987092 \tabularnewline
0.13 & 17017.6879657176 & 785.269313001117 \tabularnewline
0.14 & 17227.5236723895 & 802.58560750949 \tabularnewline
0.15 & 17436.0239747546 & 798.300547441378 \tabularnewline
0.16 & 17638.6797556548 & 778.029422966623 \tabularnewline
0.17 & 17832.4765365178 & 749.091561141452 \tabularnewline
0.18 & 18016.0776902041 & 718.798311326458 \tabularnewline
0.19 & 18189.6855086607 & 693.264724852822 \tabularnewline
0.2 & 18354.6841088808 & 676.604945010216 \tabularnewline
0.21 & 18513.1927137284 & 670.641532801684 \tabularnewline
0.22 & 18667.6410327462 & 675.464640495806 \tabularnewline
0.23 & 18820.4376981625 & 689.89549956742 \tabularnewline
0.24 & 18973.7567324879 & 712.407146516614 \tabularnewline
0.25 & 19129.4299724879 & 741.443864755178 \tabularnewline
0.26 & 19288.9125926634 & 775.673498808918 \tabularnewline
0.27 & 19453.2852901417 & 813.73593965195 \tabularnewline
0.28 & 19623.2664338675 & 854.27037882598 \tabularnewline
0.29 & 19799.2239204992 & 895.500054758411 \tabularnewline
0.3 & 19981.1924281177 & 935.679640294765 \tabularnewline
0.31 & 20168.91146168 & 973.04871132895 \tabularnewline
0.32 & 20361.9001502651 & 1006.36544164063 \tabularnewline
0.33 & 20559.5766686202 & 1035.1999163563 \tabularnewline
0.34 & 20761.4167527203 & 1060.31806436335 \tabularnewline
0.35 & 20967.1319291327 & 1083.71507436063 \tabularnewline
0.36 & 21176.8385156136 & 1108.47299016413 \tabularnewline
0.37 & 21391.1863118051 & 1138.43081244488 \tabularnewline
0.38 & 21611.4218742386 & 1177.63077904212 \tabularnewline
0.39 & 21839.3735604306 & 1229.62091869451 \tabularnewline
0.4 & 22077.3605426377 & 1296.89189573225 \tabularnewline
0.41 & 22328.0415231651 & 1380.58324573826 \tabularnewline
0.42 & 22594.22737822 & 1480.52785925241 \tabularnewline
0.43 & 22878.6835405423 & 1595.30284678757 \tabularnewline
0.44 & 23183.9428913191 & 1722.69382538353 \tabularnewline
0.45 & 23512.1405641388 & 1859.92370284376 \tabularnewline
0.46 & 23864.8719207643 & 2003.61742222942 \tabularnewline
0.47 & 24243.0677272641 & 2150.08444935683 \tabularnewline
0.48 & 24646.8788817914 & 2295.00916916049 \tabularnewline
0.49 & 25075.5676339053 & 2433.46496311138 \tabularnewline
0.5 & 25527.4115630734 & 2559.79503762019 \tabularnewline
0.51 & 25999.6372857284 & 2667.78801230184 \tabularnewline
0.52 & 26488.408761154 & 2751.24339195188 \tabularnewline
0.53 & 26988.8965473989 & 2804.35038186847 \tabularnewline
0.54 & 27495.4476256913 & 2822.59920723772 \tabularnewline
0.55 & 28001.8612317884 & 2803.20969573913 \tabularnewline
0.56 & 28501.7577411325 & 2746.04262694032 \tabularnewline
0.57 & 28989.0098217406 & 2653.47634407227 \tabularnewline
0.58 & 29458.1926008513 & 2530.6557160863 \tabularnewline
0.59 & 29905.0057689959 & 2385.01962376244 \tabularnewline
0.6 & 30326.6260363318 & 2225.71000711631 \tabularnewline
0.61 & 30721.9609874742 & 2062.94154961436 \tabularnewline
0.62 & 31091.7908504279 & 1907.28032856225 \tabularnewline
0.63 & 31438.7979867777 & 1769.28493530843 \tabularnewline
0.64 & 31767.4909556767 & 1658.94129855066 \tabularnewline
0.65 & 32084.0290831865 & 1585.29893957587 \tabularnewline
0.66 & 32395.9459563853 & 1555.90286931816 \tabularnewline
0.67 & 32711.7605213876 & 1575.82683790016 \tabularnewline
0.68 & 33040.4588647911 & 1646.43817151087 \tabularnewline
0.69 & 33390.8349305945 & 1764.36824132731 \tabularnewline
0.7 & 33770.6989945392 & 1921.39402506062 \tabularnewline
0.71 & 34185.9989299427 & 2104.47221453307 \tabularnewline
0.72 & 34639.9452291851 & 2296.48416111841 \tabularnewline
0.73 & 35132.2740247407 & 2477.49561823666 \tabularnewline
0.74 & 35658.8062883616 & 2626.50605798573 \tabularnewline
0.75 & 36211.4497579784 & 2724.07405003615 \tabularnewline
0.76 & 36778.7338206575 & 2755.01101246072 \tabularnewline
0.77 & 37346.8707158636 & 2711.02402099377 \tabularnewline
0.78 & 37901.2191356357 & 2592.12941821163 \tabularnewline
0.79 & 38427.9213082376 & 2406.95247163886 \tabularnewline
0.8 & 38915.4274309656 & 2171.38821322498 \tabularnewline
0.81 & 39355.6365104963 & 1905.90686544359 \tabularnewline
0.82 & 39744.47226678 & 1632.11561685382 \tabularnewline
0.83 & 40081.852021548 & 1369.50967365007 \tabularnewline
0.84 & 40371.1510159136 & 1133.07260021291 \tabularnewline
0.85 & 40618.3668519136 & 932.222025574002 \tabularnewline
0.86 & 40831.2174171789 & 771.140395028193 \tabularnewline
0.87 & 41018.3587813761 & 650.197896518667 \tabularnewline
0.88 & 41188.8144426962 & 567.543059046824 \tabularnewline
0.89 & 41351.6052380246 & 520.031411997569 \tabularnewline
0.9 & 41515.4899985808 & 503.423919746331 \tabularnewline
0.91 & 41688.6671673198 & 511.932901216179 \tabularnewline
0.92 & 41878.2197680788 & 538.21610866535 \tabularnewline
0.93 & 42089.0328478146 & 573.073890383051 \tabularnewline
0.94 & 42322.0642947265 & 603.602686977504 \tabularnewline
0.95 & 42572.5288486018 & 610.709018936743 \tabularnewline
0.96 & 42829.6286244977 & 572.271371580956 \tabularnewline
0.97 & 43079.2566145448 & 480.048107837236 \tabularnewline
0.98 & 43306.9665779309 & 367.863201296253 \tabularnewline
0.99 & 43493.3813621614 & 313.362887439082 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212933&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]15592.6092720278[/C][C]37.818071878404[/C][/ROW]
[ROW][C]0.02[/C][C]15622.704364853[/C][C]74.9207745184522[/C][/ROW]
[ROW][C]0.03[/C][C]15669.0122968434[/C][C]115.866528631074[/C][/ROW]
[ROW][C]0.04[/C][C]15730.2197640148[/C][C]160.6192403012[/C][/ROW]
[ROW][C]0.05[/C][C]15805.7403133781[/C][C]211.506883757993[/C][/ROW]
[ROW][C]0.06[/C][C]15896.1161397951[/C][C]270.999939747692[/C][/ROW]
[ROW][C]0.07[/C][C]16002.7501755511[/C][C]341.29149407621[/C][/ROW]
[ROW][C]0.08[/C][C]16127.3607988156[/C][C]422.464843581917[/C][/ROW]
[ROW][C]0.09[/C][C]16271.2724140185[/C][C]510.977814491601[/C][/ROW]
[ROW][C]0.1[/C][C]16434.6665882043[/C][C]599.857893341884[/C][/ROW]
[ROW][C]0.11[/C][C]16616.0246127496[/C][C]680.269488122345[/C][/ROW]
[ROW][C]0.12[/C][C]16811.9840488986[/C][C]743.93574987092[/C][/ROW]
[ROW][C]0.13[/C][C]17017.6879657176[/C][C]785.269313001117[/C][/ROW]
[ROW][C]0.14[/C][C]17227.5236723895[/C][C]802.58560750949[/C][/ROW]
[ROW][C]0.15[/C][C]17436.0239747546[/C][C]798.300547441378[/C][/ROW]
[ROW][C]0.16[/C][C]17638.6797556548[/C][C]778.029422966623[/C][/ROW]
[ROW][C]0.17[/C][C]17832.4765365178[/C][C]749.091561141452[/C][/ROW]
[ROW][C]0.18[/C][C]18016.0776902041[/C][C]718.798311326458[/C][/ROW]
[ROW][C]0.19[/C][C]18189.6855086607[/C][C]693.264724852822[/C][/ROW]
[ROW][C]0.2[/C][C]18354.6841088808[/C][C]676.604945010216[/C][/ROW]
[ROW][C]0.21[/C][C]18513.1927137284[/C][C]670.641532801684[/C][/ROW]
[ROW][C]0.22[/C][C]18667.6410327462[/C][C]675.464640495806[/C][/ROW]
[ROW][C]0.23[/C][C]18820.4376981625[/C][C]689.89549956742[/C][/ROW]
[ROW][C]0.24[/C][C]18973.7567324879[/C][C]712.407146516614[/C][/ROW]
[ROW][C]0.25[/C][C]19129.4299724879[/C][C]741.443864755178[/C][/ROW]
[ROW][C]0.26[/C][C]19288.9125926634[/C][C]775.673498808918[/C][/ROW]
[ROW][C]0.27[/C][C]19453.2852901417[/C][C]813.73593965195[/C][/ROW]
[ROW][C]0.28[/C][C]19623.2664338675[/C][C]854.27037882598[/C][/ROW]
[ROW][C]0.29[/C][C]19799.2239204992[/C][C]895.500054758411[/C][/ROW]
[ROW][C]0.3[/C][C]19981.1924281177[/C][C]935.679640294765[/C][/ROW]
[ROW][C]0.31[/C][C]20168.91146168[/C][C]973.04871132895[/C][/ROW]
[ROW][C]0.32[/C][C]20361.9001502651[/C][C]1006.36544164063[/C][/ROW]
[ROW][C]0.33[/C][C]20559.5766686202[/C][C]1035.1999163563[/C][/ROW]
[ROW][C]0.34[/C][C]20761.4167527203[/C][C]1060.31806436335[/C][/ROW]
[ROW][C]0.35[/C][C]20967.1319291327[/C][C]1083.71507436063[/C][/ROW]
[ROW][C]0.36[/C][C]21176.8385156136[/C][C]1108.47299016413[/C][/ROW]
[ROW][C]0.37[/C][C]21391.1863118051[/C][C]1138.43081244488[/C][/ROW]
[ROW][C]0.38[/C][C]21611.4218742386[/C][C]1177.63077904212[/C][/ROW]
[ROW][C]0.39[/C][C]21839.3735604306[/C][C]1229.62091869451[/C][/ROW]
[ROW][C]0.4[/C][C]22077.3605426377[/C][C]1296.89189573225[/C][/ROW]
[ROW][C]0.41[/C][C]22328.0415231651[/C][C]1380.58324573826[/C][/ROW]
[ROW][C]0.42[/C][C]22594.22737822[/C][C]1480.52785925241[/C][/ROW]
[ROW][C]0.43[/C][C]22878.6835405423[/C][C]1595.30284678757[/C][/ROW]
[ROW][C]0.44[/C][C]23183.9428913191[/C][C]1722.69382538353[/C][/ROW]
[ROW][C]0.45[/C][C]23512.1405641388[/C][C]1859.92370284376[/C][/ROW]
[ROW][C]0.46[/C][C]23864.8719207643[/C][C]2003.61742222942[/C][/ROW]
[ROW][C]0.47[/C][C]24243.0677272641[/C][C]2150.08444935683[/C][/ROW]
[ROW][C]0.48[/C][C]24646.8788817914[/C][C]2295.00916916049[/C][/ROW]
[ROW][C]0.49[/C][C]25075.5676339053[/C][C]2433.46496311138[/C][/ROW]
[ROW][C]0.5[/C][C]25527.4115630734[/C][C]2559.79503762019[/C][/ROW]
[ROW][C]0.51[/C][C]25999.6372857284[/C][C]2667.78801230184[/C][/ROW]
[ROW][C]0.52[/C][C]26488.408761154[/C][C]2751.24339195188[/C][/ROW]
[ROW][C]0.53[/C][C]26988.8965473989[/C][C]2804.35038186847[/C][/ROW]
[ROW][C]0.54[/C][C]27495.4476256913[/C][C]2822.59920723772[/C][/ROW]
[ROW][C]0.55[/C][C]28001.8612317884[/C][C]2803.20969573913[/C][/ROW]
[ROW][C]0.56[/C][C]28501.7577411325[/C][C]2746.04262694032[/C][/ROW]
[ROW][C]0.57[/C][C]28989.0098217406[/C][C]2653.47634407227[/C][/ROW]
[ROW][C]0.58[/C][C]29458.1926008513[/C][C]2530.6557160863[/C][/ROW]
[ROW][C]0.59[/C][C]29905.0057689959[/C][C]2385.01962376244[/C][/ROW]
[ROW][C]0.6[/C][C]30326.6260363318[/C][C]2225.71000711631[/C][/ROW]
[ROW][C]0.61[/C][C]30721.9609874742[/C][C]2062.94154961436[/C][/ROW]
[ROW][C]0.62[/C][C]31091.7908504279[/C][C]1907.28032856225[/C][/ROW]
[ROW][C]0.63[/C][C]31438.7979867777[/C][C]1769.28493530843[/C][/ROW]
[ROW][C]0.64[/C][C]31767.4909556767[/C][C]1658.94129855066[/C][/ROW]
[ROW][C]0.65[/C][C]32084.0290831865[/C][C]1585.29893957587[/C][/ROW]
[ROW][C]0.66[/C][C]32395.9459563853[/C][C]1555.90286931816[/C][/ROW]
[ROW][C]0.67[/C][C]32711.7605213876[/C][C]1575.82683790016[/C][/ROW]
[ROW][C]0.68[/C][C]33040.4588647911[/C][C]1646.43817151087[/C][/ROW]
[ROW][C]0.69[/C][C]33390.8349305945[/C][C]1764.36824132731[/C][/ROW]
[ROW][C]0.7[/C][C]33770.6989945392[/C][C]1921.39402506062[/C][/ROW]
[ROW][C]0.71[/C][C]34185.9989299427[/C][C]2104.47221453307[/C][/ROW]
[ROW][C]0.72[/C][C]34639.9452291851[/C][C]2296.48416111841[/C][/ROW]
[ROW][C]0.73[/C][C]35132.2740247407[/C][C]2477.49561823666[/C][/ROW]
[ROW][C]0.74[/C][C]35658.8062883616[/C][C]2626.50605798573[/C][/ROW]
[ROW][C]0.75[/C][C]36211.4497579784[/C][C]2724.07405003615[/C][/ROW]
[ROW][C]0.76[/C][C]36778.7338206575[/C][C]2755.01101246072[/C][/ROW]
[ROW][C]0.77[/C][C]37346.8707158636[/C][C]2711.02402099377[/C][/ROW]
[ROW][C]0.78[/C][C]37901.2191356357[/C][C]2592.12941821163[/C][/ROW]
[ROW][C]0.79[/C][C]38427.9213082376[/C][C]2406.95247163886[/C][/ROW]
[ROW][C]0.8[/C][C]38915.4274309656[/C][C]2171.38821322498[/C][/ROW]
[ROW][C]0.81[/C][C]39355.6365104963[/C][C]1905.90686544359[/C][/ROW]
[ROW][C]0.82[/C][C]39744.47226678[/C][C]1632.11561685382[/C][/ROW]
[ROW][C]0.83[/C][C]40081.852021548[/C][C]1369.50967365007[/C][/ROW]
[ROW][C]0.84[/C][C]40371.1510159136[/C][C]1133.07260021291[/C][/ROW]
[ROW][C]0.85[/C][C]40618.3668519136[/C][C]932.222025574002[/C][/ROW]
[ROW][C]0.86[/C][C]40831.2174171789[/C][C]771.140395028193[/C][/ROW]
[ROW][C]0.87[/C][C]41018.3587813761[/C][C]650.197896518667[/C][/ROW]
[ROW][C]0.88[/C][C]41188.8144426962[/C][C]567.543059046824[/C][/ROW]
[ROW][C]0.89[/C][C]41351.6052380246[/C][C]520.031411997569[/C][/ROW]
[ROW][C]0.9[/C][C]41515.4899985808[/C][C]503.423919746331[/C][/ROW]
[ROW][C]0.91[/C][C]41688.6671673198[/C][C]511.932901216179[/C][/ROW]
[ROW][C]0.92[/C][C]41878.2197680788[/C][C]538.21610866535[/C][/ROW]
[ROW][C]0.93[/C][C]42089.0328478146[/C][C]573.073890383051[/C][/ROW]
[ROW][C]0.94[/C][C]42322.0642947265[/C][C]603.602686977504[/C][/ROW]
[ROW][C]0.95[/C][C]42572.5288486018[/C][C]610.709018936743[/C][/ROW]
[ROW][C]0.96[/C][C]42829.6286244977[/C][C]572.271371580956[/C][/ROW]
[ROW][C]0.97[/C][C]43079.2566145448[/C][C]480.048107837236[/C][/ROW]
[ROW][C]0.98[/C][C]43306.9665779309[/C][C]367.863201296253[/C][/ROW]
[ROW][C]0.99[/C][C]43493.3813621614[/C][C]313.362887439082[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212933&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212933&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
0.0115592.609272027837.818071878404
0.0215622.70436485374.9207745184522
0.0315669.0122968434115.866528631074
0.0415730.2197640148160.6192403012
0.0515805.7403133781211.506883757993
0.0615896.1161397951270.999939747692
0.0716002.7501755511341.29149407621
0.0816127.3607988156422.464843581917
0.0916271.2724140185510.977814491601
0.116434.6665882043599.857893341884
0.1116616.0246127496680.269488122345
0.1216811.9840488986743.93574987092
0.1317017.6879657176785.269313001117
0.1417227.5236723895802.58560750949
0.1517436.0239747546798.300547441378
0.1617638.6797556548778.029422966623
0.1717832.4765365178749.091561141452
0.1818016.0776902041718.798311326458
0.1918189.6855086607693.264724852822
0.218354.6841088808676.604945010216
0.2118513.1927137284670.641532801684
0.2218667.6410327462675.464640495806
0.2318820.4376981625689.89549956742
0.2418973.7567324879712.407146516614
0.2519129.4299724879741.443864755178
0.2619288.9125926634775.673498808918
0.2719453.2852901417813.73593965195
0.2819623.2664338675854.27037882598
0.2919799.2239204992895.500054758411
0.319981.1924281177935.679640294765
0.3120168.91146168973.04871132895
0.3220361.90015026511006.36544164063
0.3320559.57666862021035.1999163563
0.3420761.41675272031060.31806436335
0.3520967.13192913271083.71507436063
0.3621176.83851561361108.47299016413
0.3721391.18631180511138.43081244488
0.3821611.42187423861177.63077904212
0.3921839.37356043061229.62091869451
0.422077.36054263771296.89189573225
0.4122328.04152316511380.58324573826
0.4222594.227378221480.52785925241
0.4322878.68354054231595.30284678757
0.4423183.94289131911722.69382538353
0.4523512.14056413881859.92370284376
0.4623864.87192076432003.61742222942
0.4724243.06772726412150.08444935683
0.4824646.87888179142295.00916916049
0.4925075.56763390532433.46496311138
0.525527.41156307342559.79503762019
0.5125999.63728572842667.78801230184
0.5226488.4087611542751.24339195188
0.5326988.89654739892804.35038186847
0.5427495.44762569132822.59920723772
0.5528001.86123178842803.20969573913
0.5628501.75774113252746.04262694032
0.5728989.00982174062653.47634407227
0.5829458.19260085132530.6557160863
0.5929905.00576899592385.01962376244
0.630326.62603633182225.71000711631
0.6130721.96098747422062.94154961436
0.6231091.79085042791907.28032856225
0.6331438.79798677771769.28493530843
0.6431767.49095567671658.94129855066
0.6532084.02908318651585.29893957587
0.6632395.94595638531555.90286931816
0.6732711.76052138761575.82683790016
0.6833040.45886479111646.43817151087
0.6933390.83493059451764.36824132731
0.733770.69899453921921.39402506062
0.7134185.99892994272104.47221453307
0.7234639.94522918512296.48416111841
0.7335132.27402474072477.49561823666
0.7435658.80628836162626.50605798573
0.7536211.44975797842724.07405003615
0.7636778.73382065752755.01101246072
0.7737346.87071586362711.02402099377
0.7837901.21913563572592.12941821163
0.7938427.92130823762406.95247163886
0.838915.42743096562171.38821322498
0.8139355.63651049631905.90686544359
0.8239744.472266781632.11561685382
0.8340081.8520215481369.50967365007
0.8440371.15101591361133.07260021291
0.8540618.3668519136932.222025574002
0.8640831.2174171789771.140395028193
0.8741018.3587813761650.197896518667
0.8841188.8144426962567.543059046824
0.8941351.6052380246520.031411997569
0.941515.4899985808503.423919746331
0.9141688.6671673198511.932901216179
0.9241878.2197680788538.21610866535
0.9342089.0328478146573.073890383051
0.9442322.0642947265603.602686977504
0.9542572.5288486018610.709018936743
0.9642829.6286244977572.271371580956
0.9743079.2566145448480.048107837236
0.9843306.9665779309367.863201296253
0.9943493.3813621614313.362887439082


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 <- '0,01'
par2 <- '0.99'
par1 <- '0.01'
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')