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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 16 Aug 2015 13:23:58 +0100
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/Aug/16/t1439727886eh6bvlu64ucrszd.htm/, Retrieved Tue, 19 May 2026 20:53:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=280122, Retrieved Tue, 19 May 2026 20:53:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact283

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 per...] [2015-08-16 12:23:58] [0d8529ada52922935dd1fcf0fb375c74] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
37800
36400
38500
30800
39900
39200
42000
43400
48300
42000
39900
49700
42000
31500
37100
28000
39200
32200
42700
38500
40600
45500
44800
53200
38500
32200
35700
25900
37100
28700
40600
38500
34300
49000
44100
50400
37800
35000
31500
25900
34300
30800
42000
40600
35000
46900
43400
56000
44800
27300
27300
27300
32200
32200
43400
39900
35700
44800
41300
59500
46900
27300
28700
23800
32900
37800
47600
46900
37800
44100
39200
56000
42700
34300
30800
23100
34300
41300
48300
45500
33600
48300
37800
58100
48300
35000
32200
21700
34300
32900
49700
49700
37800
49000
36400
56700
48300
35700
27300
18900
37100
35700
46900
53900
39900
44800
33600
58100

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 Ronald Aylmer Fisher' @ fisher.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 Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280122&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 Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280122&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280122&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 Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0120334.62577215912209.54189230671
0.0222147.72378886271823.7070074311
0.0323616.90672739611732.82965756376
0.0424759.4358177261616.89984145991
0.0525659.27752607971383.08716214944
0.0626352.44146201441117.27675996283
0.0726882.0886922519932.723313160576
0.0827311.7724532863900.643923365654
0.0927707.60176095681013.79547089421
0.128118.76752743951200.39322975178
0.1128567.95176075441382.15610774852
0.1229052.66618369271503.76349465716
0.1329553.90064391751540.49771295331
0.1430046.98671881091495.86114883411
0.1530510.51553221121392.90829501194
0.1630931.31150662541262.59025800976
0.1731305.50410539441134.03168571954
0.1831636.89916513021028.64918802365
0.1931934.0892825886957.930745476432
0.232207.4279276952923.398171435108
0.2132466.5394631786918.076904512169
0.2232718.6830530292929.918869257995
0.2332968.0619747631946.191054464644
0.2433216.0033366277957.033158190219
0.2533461.782398403957.429559182237
0.2633703.7520858166947.647596694976
0.2733940.41220208931.810761913983
0.2834171.1357959396915.777749889187
0.2934396.4294907163905.014771885207
0.334617.7721748779903.119014013003
0.3134837.1887046806910.844425779185
0.3235056.7443304723926.672874000838
0.3335278.1053728341947.787872388256
0.3435502.2413352154970.459004677714
0.3535729.2822899935990.897170362318
0.3635958.51361478941005.56317285574
0.3736188.48575152011011.38355837253
0.3836417.22310499751006.47894566768
0.3936642.5164703915990.183510120043
0.436862.2704529308963.801666780481
0.4137074.8566734292930.230364622587
0.4237279.4080020412893.779831357339
0.4337475.9904850255859.462469796386
0.4437665.6121065996831.907642751388
0.4537850.0653780959814.723694312382
0.4638031.6414881505809.521875293302
0.4738212.7838248792815.910219419315
0.4838395.7589306364831.938481631081
0.4938582.4115247835854.706295042983
0.538774.0422935704881.085183347177
0.5138971.412175825908.754592465644
0.5239174.8451514365935.865283740042
0.5339384.3812248532961.842538277221
0.5439599.926699552986.562356158837
0.5539821.35983894691010.44061641652
0.5640048.57229361361033.65196248605
0.5740281.45273591056.11366156966
0.5840519.84015124631077.35020999194
0.5940763.48276322941096.5593116829
0.641012.03150653321113.10323555167
0.6141265.0773497151126.65170132473
0.6241522.21827370531137.5616127833
0.6341783.1253645271146.43445147159
0.6442047.57676623331154.04263186356
0.6542315.44475899021160.9259292877
0.6642586.64815259231166.97898681676
0.6742861.10657048161171.97341973943
0.6843138.74133070011175.47694425456
0.6943419.55133054881177.64371518349
0.743703.75377746941179.53550084353
0.7143991.93261480981183.08770765965
0.7244285.10411808881190.63061460956
0.7344584.61118048061203.8660667469
0.7444891.80525485271222.58989951649
0.7545207.55659000521243.87982698095
0.7645531.71714186711262.34010702128
0.7745862.70735868871271.07491546069
0.7846197.38480792521263.69978529919
0.7946531.28767506111235.89297497719
0.846859.26233760961186.65122491629
0.8147176.41129420641118.64007937386
0.8247479.24066163441038.43214649643
0.8347766.8391685595956.256437974681
0.8448041.9096716916885.447883091532
0.8548311.5718294012840.917487044753
0.8648588.0894690354837.475435200732
0.8748889.8661940704889.958271692493
0.8849242.75058106431015.6392038342
0.8949680.51338314571232.45353197863
0.950241.71313792181543.7927616747
0.9150959.8055354221914.69008568492
0.9251846.63677761792259.72091456012
0.9352876.6895737992462.24613042812
0.9453985.5397053762431.59673519106
0.9555091.02624900262169.76294990596
0.9656126.52670514821781.90672465795
0.9757066.16713264981381.08849631087
0.9857946.36783887731032.13381058327
0.9958832.40826924511024.13479175084

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 20334.6257721591 & 2209.54189230671 \tabularnewline
0.02 & 22147.7237888627 & 1823.7070074311 \tabularnewline
0.03 & 23616.9067273961 & 1732.82965756376 \tabularnewline
0.04 & 24759.435817726 & 1616.89984145991 \tabularnewline
0.05 & 25659.2775260797 & 1383.08716214944 \tabularnewline
0.06 & 26352.4414620144 & 1117.27675996283 \tabularnewline
0.07 & 26882.0886922519 & 932.723313160576 \tabularnewline
0.08 & 27311.7724532863 & 900.643923365654 \tabularnewline
0.09 & 27707.6017609568 & 1013.79547089421 \tabularnewline
0.1 & 28118.7675274395 & 1200.39322975178 \tabularnewline
0.11 & 28567.9517607544 & 1382.15610774852 \tabularnewline
0.12 & 29052.6661836927 & 1503.76349465716 \tabularnewline
0.13 & 29553.9006439175 & 1540.49771295331 \tabularnewline
0.14 & 30046.9867188109 & 1495.86114883411 \tabularnewline
0.15 & 30510.5155322112 & 1392.90829501194 \tabularnewline
0.16 & 30931.3115066254 & 1262.59025800976 \tabularnewline
0.17 & 31305.5041053944 & 1134.03168571954 \tabularnewline
0.18 & 31636.8991651302 & 1028.64918802365 \tabularnewline
0.19 & 31934.0892825886 & 957.930745476432 \tabularnewline
0.2 & 32207.4279276952 & 923.398171435108 \tabularnewline
0.21 & 32466.5394631786 & 918.076904512169 \tabularnewline
0.22 & 32718.6830530292 & 929.918869257995 \tabularnewline
0.23 & 32968.0619747631 & 946.191054464644 \tabularnewline
0.24 & 33216.0033366277 & 957.033158190219 \tabularnewline
0.25 & 33461.782398403 & 957.429559182237 \tabularnewline
0.26 & 33703.7520858166 & 947.647596694976 \tabularnewline
0.27 & 33940.41220208 & 931.810761913983 \tabularnewline
0.28 & 34171.1357959396 & 915.777749889187 \tabularnewline
0.29 & 34396.4294907163 & 905.014771885207 \tabularnewline
0.3 & 34617.7721748779 & 903.119014013003 \tabularnewline
0.31 & 34837.1887046806 & 910.844425779185 \tabularnewline
0.32 & 35056.7443304723 & 926.672874000838 \tabularnewline
0.33 & 35278.1053728341 & 947.787872388256 \tabularnewline
0.34 & 35502.2413352154 & 970.459004677714 \tabularnewline
0.35 & 35729.2822899935 & 990.897170362318 \tabularnewline
0.36 & 35958.5136147894 & 1005.56317285574 \tabularnewline
0.37 & 36188.4857515201 & 1011.38355837253 \tabularnewline
0.38 & 36417.2231049975 & 1006.47894566768 \tabularnewline
0.39 & 36642.5164703915 & 990.183510120043 \tabularnewline
0.4 & 36862.2704529308 & 963.801666780481 \tabularnewline
0.41 & 37074.8566734292 & 930.230364622587 \tabularnewline
0.42 & 37279.4080020412 & 893.779831357339 \tabularnewline
0.43 & 37475.9904850255 & 859.462469796386 \tabularnewline
0.44 & 37665.6121065996 & 831.907642751388 \tabularnewline
0.45 & 37850.0653780959 & 814.723694312382 \tabularnewline
0.46 & 38031.6414881505 & 809.521875293302 \tabularnewline
0.47 & 38212.7838248792 & 815.910219419315 \tabularnewline
0.48 & 38395.7589306364 & 831.938481631081 \tabularnewline
0.49 & 38582.4115247835 & 854.706295042983 \tabularnewline
0.5 & 38774.0422935704 & 881.085183347177 \tabularnewline
0.51 & 38971.412175825 & 908.754592465644 \tabularnewline
0.52 & 39174.8451514365 & 935.865283740042 \tabularnewline
0.53 & 39384.3812248532 & 961.842538277221 \tabularnewline
0.54 & 39599.926699552 & 986.562356158837 \tabularnewline
0.55 & 39821.3598389469 & 1010.44061641652 \tabularnewline
0.56 & 40048.5722936136 & 1033.65196248605 \tabularnewline
0.57 & 40281.4527359 & 1056.11366156966 \tabularnewline
0.58 & 40519.8401512463 & 1077.35020999194 \tabularnewline
0.59 & 40763.4827632294 & 1096.5593116829 \tabularnewline
0.6 & 41012.0315065332 & 1113.10323555167 \tabularnewline
0.61 & 41265.077349715 & 1126.65170132473 \tabularnewline
0.62 & 41522.2182737053 & 1137.5616127833 \tabularnewline
0.63 & 41783.125364527 & 1146.43445147159 \tabularnewline
0.64 & 42047.5767662333 & 1154.04263186356 \tabularnewline
0.65 & 42315.4447589902 & 1160.9259292877 \tabularnewline
0.66 & 42586.6481525923 & 1166.97898681676 \tabularnewline
0.67 & 42861.1065704816 & 1171.97341973943 \tabularnewline
0.68 & 43138.7413307001 & 1175.47694425456 \tabularnewline
0.69 & 43419.5513305488 & 1177.64371518349 \tabularnewline
0.7 & 43703.7537774694 & 1179.53550084353 \tabularnewline
0.71 & 43991.9326148098 & 1183.08770765965 \tabularnewline
0.72 & 44285.1041180888 & 1190.63061460956 \tabularnewline
0.73 & 44584.6111804806 & 1203.8660667469 \tabularnewline
0.74 & 44891.8052548527 & 1222.58989951649 \tabularnewline
0.75 & 45207.5565900052 & 1243.87982698095 \tabularnewline
0.76 & 45531.7171418671 & 1262.34010702128 \tabularnewline
0.77 & 45862.7073586887 & 1271.07491546069 \tabularnewline
0.78 & 46197.3848079252 & 1263.69978529919 \tabularnewline
0.79 & 46531.2876750611 & 1235.89297497719 \tabularnewline
0.8 & 46859.2623376096 & 1186.65122491629 \tabularnewline
0.81 & 47176.4112942064 & 1118.64007937386 \tabularnewline
0.82 & 47479.2406616344 & 1038.43214649643 \tabularnewline
0.83 & 47766.8391685595 & 956.256437974681 \tabularnewline
0.84 & 48041.9096716916 & 885.447883091532 \tabularnewline
0.85 & 48311.5718294012 & 840.917487044753 \tabularnewline
0.86 & 48588.0894690354 & 837.475435200732 \tabularnewline
0.87 & 48889.8661940704 & 889.958271692493 \tabularnewline
0.88 & 49242.7505810643 & 1015.6392038342 \tabularnewline
0.89 & 49680.5133831457 & 1232.45353197863 \tabularnewline
0.9 & 50241.7131379218 & 1543.7927616747 \tabularnewline
0.91 & 50959.805535422 & 1914.69008568492 \tabularnewline
0.92 & 51846.6367776179 & 2259.72091456012 \tabularnewline
0.93 & 52876.689573799 & 2462.24613042812 \tabularnewline
0.94 & 53985.539705376 & 2431.59673519106 \tabularnewline
0.95 & 55091.0262490026 & 2169.76294990596 \tabularnewline
0.96 & 56126.5267051482 & 1781.90672465795 \tabularnewline
0.97 & 57066.1671326498 & 1381.08849631087 \tabularnewline
0.98 & 57946.3678388773 & 1032.13381058327 \tabularnewline
0.99 & 58832.4082692451 & 1024.13479175084 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280122&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]20334.6257721591[/C][C]2209.54189230671[/C][/ROW]
[ROW][C]0.02[/C][C]22147.7237888627[/C][C]1823.7070074311[/C][/ROW]
[ROW][C]0.03[/C][C]23616.9067273961[/C][C]1732.82965756376[/C][/ROW]
[ROW][C]0.04[/C][C]24759.435817726[/C][C]1616.89984145991[/C][/ROW]
[ROW][C]0.05[/C][C]25659.2775260797[/C][C]1383.08716214944[/C][/ROW]
[ROW][C]0.06[/C][C]26352.4414620144[/C][C]1117.27675996283[/C][/ROW]
[ROW][C]0.07[/C][C]26882.0886922519[/C][C]932.723313160576[/C][/ROW]
[ROW][C]0.08[/C][C]27311.7724532863[/C][C]900.643923365654[/C][/ROW]
[ROW][C]0.09[/C][C]27707.6017609568[/C][C]1013.79547089421[/C][/ROW]
[ROW][C]0.1[/C][C]28118.7675274395[/C][C]1200.39322975178[/C][/ROW]
[ROW][C]0.11[/C][C]28567.9517607544[/C][C]1382.15610774852[/C][/ROW]
[ROW][C]0.12[/C][C]29052.6661836927[/C][C]1503.76349465716[/C][/ROW]
[ROW][C]0.13[/C][C]29553.9006439175[/C][C]1540.49771295331[/C][/ROW]
[ROW][C]0.14[/C][C]30046.9867188109[/C][C]1495.86114883411[/C][/ROW]
[ROW][C]0.15[/C][C]30510.5155322112[/C][C]1392.90829501194[/C][/ROW]
[ROW][C]0.16[/C][C]30931.3115066254[/C][C]1262.59025800976[/C][/ROW]
[ROW][C]0.17[/C][C]31305.5041053944[/C][C]1134.03168571954[/C][/ROW]
[ROW][C]0.18[/C][C]31636.8991651302[/C][C]1028.64918802365[/C][/ROW]
[ROW][C]0.19[/C][C]31934.0892825886[/C][C]957.930745476432[/C][/ROW]
[ROW][C]0.2[/C][C]32207.4279276952[/C][C]923.398171435108[/C][/ROW]
[ROW][C]0.21[/C][C]32466.5394631786[/C][C]918.076904512169[/C][/ROW]
[ROW][C]0.22[/C][C]32718.6830530292[/C][C]929.918869257995[/C][/ROW]
[ROW][C]0.23[/C][C]32968.0619747631[/C][C]946.191054464644[/C][/ROW]
[ROW][C]0.24[/C][C]33216.0033366277[/C][C]957.033158190219[/C][/ROW]
[ROW][C]0.25[/C][C]33461.782398403[/C][C]957.429559182237[/C][/ROW]
[ROW][C]0.26[/C][C]33703.7520858166[/C][C]947.647596694976[/C][/ROW]
[ROW][C]0.27[/C][C]33940.41220208[/C][C]931.810761913983[/C][/ROW]
[ROW][C]0.28[/C][C]34171.1357959396[/C][C]915.777749889187[/C][/ROW]
[ROW][C]0.29[/C][C]34396.4294907163[/C][C]905.014771885207[/C][/ROW]
[ROW][C]0.3[/C][C]34617.7721748779[/C][C]903.119014013003[/C][/ROW]
[ROW][C]0.31[/C][C]34837.1887046806[/C][C]910.844425779185[/C][/ROW]
[ROW][C]0.32[/C][C]35056.7443304723[/C][C]926.672874000838[/C][/ROW]
[ROW][C]0.33[/C][C]35278.1053728341[/C][C]947.787872388256[/C][/ROW]
[ROW][C]0.34[/C][C]35502.2413352154[/C][C]970.459004677714[/C][/ROW]
[ROW][C]0.35[/C][C]35729.2822899935[/C][C]990.897170362318[/C][/ROW]
[ROW][C]0.36[/C][C]35958.5136147894[/C][C]1005.56317285574[/C][/ROW]
[ROW][C]0.37[/C][C]36188.4857515201[/C][C]1011.38355837253[/C][/ROW]
[ROW][C]0.38[/C][C]36417.2231049975[/C][C]1006.47894566768[/C][/ROW]
[ROW][C]0.39[/C][C]36642.5164703915[/C][C]990.183510120043[/C][/ROW]
[ROW][C]0.4[/C][C]36862.2704529308[/C][C]963.801666780481[/C][/ROW]
[ROW][C]0.41[/C][C]37074.8566734292[/C][C]930.230364622587[/C][/ROW]
[ROW][C]0.42[/C][C]37279.4080020412[/C][C]893.779831357339[/C][/ROW]
[ROW][C]0.43[/C][C]37475.9904850255[/C][C]859.462469796386[/C][/ROW]
[ROW][C]0.44[/C][C]37665.6121065996[/C][C]831.907642751388[/C][/ROW]
[ROW][C]0.45[/C][C]37850.0653780959[/C][C]814.723694312382[/C][/ROW]
[ROW][C]0.46[/C][C]38031.6414881505[/C][C]809.521875293302[/C][/ROW]
[ROW][C]0.47[/C][C]38212.7838248792[/C][C]815.910219419315[/C][/ROW]
[ROW][C]0.48[/C][C]38395.7589306364[/C][C]831.938481631081[/C][/ROW]
[ROW][C]0.49[/C][C]38582.4115247835[/C][C]854.706295042983[/C][/ROW]
[ROW][C]0.5[/C][C]38774.0422935704[/C][C]881.085183347177[/C][/ROW]
[ROW][C]0.51[/C][C]38971.412175825[/C][C]908.754592465644[/C][/ROW]
[ROW][C]0.52[/C][C]39174.8451514365[/C][C]935.865283740042[/C][/ROW]
[ROW][C]0.53[/C][C]39384.3812248532[/C][C]961.842538277221[/C][/ROW]
[ROW][C]0.54[/C][C]39599.926699552[/C][C]986.562356158837[/C][/ROW]
[ROW][C]0.55[/C][C]39821.3598389469[/C][C]1010.44061641652[/C][/ROW]
[ROW][C]0.56[/C][C]40048.5722936136[/C][C]1033.65196248605[/C][/ROW]
[ROW][C]0.57[/C][C]40281.4527359[/C][C]1056.11366156966[/C][/ROW]
[ROW][C]0.58[/C][C]40519.8401512463[/C][C]1077.35020999194[/C][/ROW]
[ROW][C]0.59[/C][C]40763.4827632294[/C][C]1096.5593116829[/C][/ROW]
[ROW][C]0.6[/C][C]41012.0315065332[/C][C]1113.10323555167[/C][/ROW]
[ROW][C]0.61[/C][C]41265.077349715[/C][C]1126.65170132473[/C][/ROW]
[ROW][C]0.62[/C][C]41522.2182737053[/C][C]1137.5616127833[/C][/ROW]
[ROW][C]0.63[/C][C]41783.125364527[/C][C]1146.43445147159[/C][/ROW]
[ROW][C]0.64[/C][C]42047.5767662333[/C][C]1154.04263186356[/C][/ROW]
[ROW][C]0.65[/C][C]42315.4447589902[/C][C]1160.9259292877[/C][/ROW]
[ROW][C]0.66[/C][C]42586.6481525923[/C][C]1166.97898681676[/C][/ROW]
[ROW][C]0.67[/C][C]42861.1065704816[/C][C]1171.97341973943[/C][/ROW]
[ROW][C]0.68[/C][C]43138.7413307001[/C][C]1175.47694425456[/C][/ROW]
[ROW][C]0.69[/C][C]43419.5513305488[/C][C]1177.64371518349[/C][/ROW]
[ROW][C]0.7[/C][C]43703.7537774694[/C][C]1179.53550084353[/C][/ROW]
[ROW][C]0.71[/C][C]43991.9326148098[/C][C]1183.08770765965[/C][/ROW]
[ROW][C]0.72[/C][C]44285.1041180888[/C][C]1190.63061460956[/C][/ROW]
[ROW][C]0.73[/C][C]44584.6111804806[/C][C]1203.8660667469[/C][/ROW]
[ROW][C]0.74[/C][C]44891.8052548527[/C][C]1222.58989951649[/C][/ROW]
[ROW][C]0.75[/C][C]45207.5565900052[/C][C]1243.87982698095[/C][/ROW]
[ROW][C]0.76[/C][C]45531.7171418671[/C][C]1262.34010702128[/C][/ROW]
[ROW][C]0.77[/C][C]45862.7073586887[/C][C]1271.07491546069[/C][/ROW]
[ROW][C]0.78[/C][C]46197.3848079252[/C][C]1263.69978529919[/C][/ROW]
[ROW][C]0.79[/C][C]46531.2876750611[/C][C]1235.89297497719[/C][/ROW]
[ROW][C]0.8[/C][C]46859.2623376096[/C][C]1186.65122491629[/C][/ROW]
[ROW][C]0.81[/C][C]47176.4112942064[/C][C]1118.64007937386[/C][/ROW]
[ROW][C]0.82[/C][C]47479.2406616344[/C][C]1038.43214649643[/C][/ROW]
[ROW][C]0.83[/C][C]47766.8391685595[/C][C]956.256437974681[/C][/ROW]
[ROW][C]0.84[/C][C]48041.9096716916[/C][C]885.447883091532[/C][/ROW]
[ROW][C]0.85[/C][C]48311.5718294012[/C][C]840.917487044753[/C][/ROW]
[ROW][C]0.86[/C][C]48588.0894690354[/C][C]837.475435200732[/C][/ROW]
[ROW][C]0.87[/C][C]48889.8661940704[/C][C]889.958271692493[/C][/ROW]
[ROW][C]0.88[/C][C]49242.7505810643[/C][C]1015.6392038342[/C][/ROW]
[ROW][C]0.89[/C][C]49680.5133831457[/C][C]1232.45353197863[/C][/ROW]
[ROW][C]0.9[/C][C]50241.7131379218[/C][C]1543.7927616747[/C][/ROW]
[ROW][C]0.91[/C][C]50959.805535422[/C][C]1914.69008568492[/C][/ROW]
[ROW][C]0.92[/C][C]51846.6367776179[/C][C]2259.72091456012[/C][/ROW]
[ROW][C]0.93[/C][C]52876.689573799[/C][C]2462.24613042812[/C][/ROW]
[ROW][C]0.94[/C][C]53985.539705376[/C][C]2431.59673519106[/C][/ROW]
[ROW][C]0.95[/C][C]55091.0262490026[/C][C]2169.76294990596[/C][/ROW]
[ROW][C]0.96[/C][C]56126.5267051482[/C][C]1781.90672465795[/C][/ROW]
[ROW][C]0.97[/C][C]57066.1671326498[/C][C]1381.08849631087[/C][/ROW]
[ROW][C]0.98[/C][C]57946.3678388773[/C][C]1032.13381058327[/C][/ROW]
[ROW][C]0.99[/C][C]58832.4082692451[/C][C]1024.13479175084[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280122&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280122&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
0.0120334.62577215912209.54189230671
0.0222147.72378886271823.7070074311
0.0323616.90672739611732.82965756376
0.0424759.4358177261616.89984145991
0.0525659.27752607971383.08716214944
0.0626352.44146201441117.27675996283
0.0726882.0886922519932.723313160576
0.0827311.7724532863900.643923365654
0.0927707.60176095681013.79547089421
0.128118.76752743951200.39322975178
0.1128567.95176075441382.15610774852
0.1229052.66618369271503.76349465716
0.1329553.90064391751540.49771295331
0.1430046.98671881091495.86114883411
0.1530510.51553221121392.90829501194
0.1630931.31150662541262.59025800976
0.1731305.50410539441134.03168571954
0.1831636.89916513021028.64918802365
0.1931934.0892825886957.930745476432
0.232207.4279276952923.398171435108
0.2132466.5394631786918.076904512169
0.2232718.6830530292929.918869257995
0.2332968.0619747631946.191054464644
0.2433216.0033366277957.033158190219
0.2533461.782398403957.429559182237
0.2633703.7520858166947.647596694976
0.2733940.41220208931.810761913983
0.2834171.1357959396915.777749889187
0.2934396.4294907163905.014771885207
0.334617.7721748779903.119014013003
0.3134837.1887046806910.844425779185
0.3235056.7443304723926.672874000838
0.3335278.1053728341947.787872388256
0.3435502.2413352154970.459004677714
0.3535729.2822899935990.897170362318
0.3635958.51361478941005.56317285574
0.3736188.48575152011011.38355837253
0.3836417.22310499751006.47894566768
0.3936642.5164703915990.183510120043
0.436862.2704529308963.801666780481
0.4137074.8566734292930.230364622587
0.4237279.4080020412893.779831357339
0.4337475.9904850255859.462469796386
0.4437665.6121065996831.907642751388
0.4537850.0653780959814.723694312382
0.4638031.6414881505809.521875293302
0.4738212.7838248792815.910219419315
0.4838395.7589306364831.938481631081
0.4938582.4115247835854.706295042983
0.538774.0422935704881.085183347177
0.5138971.412175825908.754592465644
0.5239174.8451514365935.865283740042
0.5339384.3812248532961.842538277221
0.5439599.926699552986.562356158837
0.5539821.35983894691010.44061641652
0.5640048.57229361361033.65196248605
0.5740281.45273591056.11366156966
0.5840519.84015124631077.35020999194
0.5940763.48276322941096.5593116829
0.641012.03150653321113.10323555167
0.6141265.0773497151126.65170132473
0.6241522.21827370531137.5616127833
0.6341783.1253645271146.43445147159
0.6442047.57676623331154.04263186356
0.6542315.44475899021160.9259292877
0.6642586.64815259231166.97898681676
0.6742861.10657048161171.97341973943
0.6843138.74133070011175.47694425456
0.6943419.55133054881177.64371518349
0.743703.75377746941179.53550084353
0.7143991.93261480981183.08770765965
0.7244285.10411808881190.63061460956
0.7344584.61118048061203.8660667469
0.7444891.80525485271222.58989951649
0.7545207.55659000521243.87982698095
0.7645531.71714186711262.34010702128
0.7745862.70735868871271.07491546069
0.7846197.38480792521263.69978529919
0.7946531.28767506111235.89297497719
0.846859.26233760961186.65122491629
0.8147176.41129420641118.64007937386
0.8247479.24066163441038.43214649643
0.8347766.8391685595956.256437974681
0.8448041.9096716916885.447883091532
0.8548311.5718294012840.917487044753
0.8648588.0894690354837.475435200732
0.8748889.8661940704889.958271692493
0.8849242.75058106431015.6392038342
0.8949680.51338314571232.45353197863
0.950241.71313792181543.7927616747
0.9150959.8055354221914.69008568492
0.9251846.63677761792259.72091456012
0.9352876.6895737992462.24613042812
0.9453985.5397053762431.59673519106
0.9555091.02624900262169.76294990596
0.9656126.52670514821781.90672465795
0.9757066.16713264981381.08849631087
0.9857946.36783887731032.13381058327
0.9958832.40826924511024.13479175084


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = no ; par3 = 512 ;
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')