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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 computationSat, 01 Mar 2008 08:44:11 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/01/t1204386433sqi6o1dghqnc2xr.htm/, Retrieved Sat, 18 May 2024 07:26:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9406, Retrieved Sat, 18 May 2024 07:26:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact192

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] [Harrel Davis perc...] [2008-03-01 15:44:11] [44b2d8b8036e185eb8f24143872c8311] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
56421
53152
53536
52408
41454
38271
35306
26414
31917
38030
27534
18387
50556
43901
48572
43899
37532
40357
35489
29027
34485
42598
30306
26451
47460
50104
61465
53726
39477
43895
31481
29896
33842
39120
33702
25094
51442
45594
52518
48564
41745
49585
32747
33379
35645
37034
35681
20972
58552
54955
65540
51570
51145
46641
35704
33253
35193
41668
34865
21210
56126
49231
59723
48103
47472
50497
40059
34149
36860
46356
36577

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9406&T=0

[TABLE]
[ROW][C]Summary of compuational 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' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9406&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9406&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0119146.64868281602210.95572158218
0.0220300.44538870832071.75871217812
0.0321551.1801661812286.59524328386
0.0422772.08317407222519.22126336121
0.0523922.81230036772556.07692454101
0.0624979.24978248072430.43585916006
0.0725927.41130356662265.11013147638
0.0826771.39177891462147.73196204882
0.0927529.55703602882093.46483659862
0.128223.55074984762073.45036057193
0.1128869.84156209712054.98273232060
0.1229477.18540087532019.08833240445
0.1330048.24188133291960.1846250314
0.1430582.46911243781880.25470559881
0.1531078.49715571671784.00294705744
0.1631535.47875947631676.71417234483
0.1731953.62756543321563.64057540279
0.1832334.30623360221450.21325148861
0.1932679.91415806821341.70345234503
0.232993.68195262861242.74199118802
0.2133279.40441537831156.94521395069
0.2233541.13379147741085.91459601241
0.2333782.8731103171029.44225393899
0.2434008.3219493060985.75180203049
0.2534220.7199075769952.601674212092
0.2634422.8087833527927.607971621385
0.2734616.9037141201909.427789932505
0.2834805.03775156897.87129648316
0.2934989.1309295129893.784919499775
0.335171.1358929773898.834819084455
0.3135353.1250357661914.851171943857
0.3235537.3035348661943.064619103254
0.3335725.952662672983.953129076125
0.3435921.32330271891037.01024363662
0.3536125.50775518601100.51952834872
0.3636340.31815343451172.35579824297
0.3736567.19364568621250.00936274611
0.3836807.14873215311331.03851655196
0.3937060.76490671571412.99138059117
0.437328.21959084511494.07745690861
0.4137609.34169540771572.59124584719
0.4237903.68215406151647.42059914320
0.4338210.58954950841717.67477702473
0.4438529.28405896321782.80751251860
0.4538858.9259379791842.67034752875
0.4639198.67664415861897.39009641737
0.4739547.75113353831947.22636993387
0.4839905.45913059731992.96426742288
0.4940271.23198156612035.2258570836
0.540644.63087530522074.94707664857
0.5141025.33243311472112.79202256321
0.5241413.08928010922149.14184403817
0.5341807.66618250772184.04658282206
0.5442208.75628279422216.88799539629
0.5542615.88624126212246.39984601368
0.5643028.32289421812270.91791157072
0.5743444.99651396782288.18536542705
0.5843864.45612294562295.80697961405
0.5944284.87001195292291.38172678407
0.644704.07947081242273.16063753073
0.6145119.70614644192239.95691600853
0.6245529.30443026082191.80298723646
0.6345930.54145306842129.70999540233
0.6446321.38055262872056.04320895787
0.6546700.24127319511973.78586737096
0.6647066.11121853081886.89811366454
0.6747418.59251144481799.20602750362
0.6847757.87706334971714.24585635613
0.6948084.65806508421634.72349705929
0.748399.9971677211562.39809783712
0.7148705.17486732071497.81215265991
0.7249001.55357076471440.70038469845
0.7349290.47803471681390.21288639746
0.7449573.22738557971345.27223076372
0.7549851.01941801661305.22762044059
0.7650125.05511029581269.61771525324
0.7750396.58327699261238.76522368419
0.7850666.96507490771213.18921651861
0.7950937.72665357861193.51632481690
0.851210.60348205391180.30042606047
0.8151487.59619809631173.92323157462
0.8251771.06689850771174.79751407164
0.8352063.89812585661183.74619241918
0.8452369.71036794281202.59506404963
0.8552693.09370317741234.25660767372
0.8653039.77439249451282.30630753699
0.8753416.63448675271349.58560413561
0.8853831.54868529031436.61680611219
0.8954293.08154707661540.58518890989
0.954810.14684076171656.04703812647
0.9155391.73077609591776.70633255448
0.9256046.81270577591896.29853428257
0.9356784.99477426462006.82130853428
0.9457619.41347942062097.9256923253
0.9558574.53248472242165.16402072966
0.9659698.06921906042235.18027268827
0.9761058.95274769232399.49545603674
0.9862679.9517274542799.67260842092
0.9964360.54675812663448.12106863952

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 19146.6486828160 & 2210.95572158218 \tabularnewline
0.02 & 20300.4453887083 & 2071.75871217812 \tabularnewline
0.03 & 21551.180166181 & 2286.59524328386 \tabularnewline
0.04 & 22772.0831740722 & 2519.22126336121 \tabularnewline
0.05 & 23922.8123003677 & 2556.07692454101 \tabularnewline
0.06 & 24979.2497824807 & 2430.43585916006 \tabularnewline
0.07 & 25927.4113035666 & 2265.11013147638 \tabularnewline
0.08 & 26771.3917789146 & 2147.73196204882 \tabularnewline
0.09 & 27529.5570360288 & 2093.46483659862 \tabularnewline
0.1 & 28223.5507498476 & 2073.45036057193 \tabularnewline
0.11 & 28869.8415620971 & 2054.98273232060 \tabularnewline
0.12 & 29477.1854008753 & 2019.08833240445 \tabularnewline
0.13 & 30048.2418813329 & 1960.1846250314 \tabularnewline
0.14 & 30582.4691124378 & 1880.25470559881 \tabularnewline
0.15 & 31078.4971557167 & 1784.00294705744 \tabularnewline
0.16 & 31535.4787594763 & 1676.71417234483 \tabularnewline
0.17 & 31953.6275654332 & 1563.64057540279 \tabularnewline
0.18 & 32334.3062336022 & 1450.21325148861 \tabularnewline
0.19 & 32679.9141580682 & 1341.70345234503 \tabularnewline
0.2 & 32993.6819526286 & 1242.74199118802 \tabularnewline
0.21 & 33279.4044153783 & 1156.94521395069 \tabularnewline
0.22 & 33541.1337914774 & 1085.91459601241 \tabularnewline
0.23 & 33782.873110317 & 1029.44225393899 \tabularnewline
0.24 & 34008.3219493060 & 985.75180203049 \tabularnewline
0.25 & 34220.7199075769 & 952.601674212092 \tabularnewline
0.26 & 34422.8087833527 & 927.607971621385 \tabularnewline
0.27 & 34616.9037141201 & 909.427789932505 \tabularnewline
0.28 & 34805.03775156 & 897.87129648316 \tabularnewline
0.29 & 34989.1309295129 & 893.784919499775 \tabularnewline
0.3 & 35171.1358929773 & 898.834819084455 \tabularnewline
0.31 & 35353.1250357661 & 914.851171943857 \tabularnewline
0.32 & 35537.3035348661 & 943.064619103254 \tabularnewline
0.33 & 35725.952662672 & 983.953129076125 \tabularnewline
0.34 & 35921.3233027189 & 1037.01024363662 \tabularnewline
0.35 & 36125.5077551860 & 1100.51952834872 \tabularnewline
0.36 & 36340.3181534345 & 1172.35579824297 \tabularnewline
0.37 & 36567.1936456862 & 1250.00936274611 \tabularnewline
0.38 & 36807.1487321531 & 1331.03851655196 \tabularnewline
0.39 & 37060.7649067157 & 1412.99138059117 \tabularnewline
0.4 & 37328.2195908451 & 1494.07745690861 \tabularnewline
0.41 & 37609.3416954077 & 1572.59124584719 \tabularnewline
0.42 & 37903.6821540615 & 1647.42059914320 \tabularnewline
0.43 & 38210.5895495084 & 1717.67477702473 \tabularnewline
0.44 & 38529.2840589632 & 1782.80751251860 \tabularnewline
0.45 & 38858.925937979 & 1842.67034752875 \tabularnewline
0.46 & 39198.6766441586 & 1897.39009641737 \tabularnewline
0.47 & 39547.7511335383 & 1947.22636993387 \tabularnewline
0.48 & 39905.4591305973 & 1992.96426742288 \tabularnewline
0.49 & 40271.2319815661 & 2035.2258570836 \tabularnewline
0.5 & 40644.6308753052 & 2074.94707664857 \tabularnewline
0.51 & 41025.3324331147 & 2112.79202256321 \tabularnewline
0.52 & 41413.0892801092 & 2149.14184403817 \tabularnewline
0.53 & 41807.6661825077 & 2184.04658282206 \tabularnewline
0.54 & 42208.7562827942 & 2216.88799539629 \tabularnewline
0.55 & 42615.8862412621 & 2246.39984601368 \tabularnewline
0.56 & 43028.3228942181 & 2270.91791157072 \tabularnewline
0.57 & 43444.9965139678 & 2288.18536542705 \tabularnewline
0.58 & 43864.4561229456 & 2295.80697961405 \tabularnewline
0.59 & 44284.8700119529 & 2291.38172678407 \tabularnewline
0.6 & 44704.0794708124 & 2273.16063753073 \tabularnewline
0.61 & 45119.7061464419 & 2239.95691600853 \tabularnewline
0.62 & 45529.3044302608 & 2191.80298723646 \tabularnewline
0.63 & 45930.5414530684 & 2129.70999540233 \tabularnewline
0.64 & 46321.3805526287 & 2056.04320895787 \tabularnewline
0.65 & 46700.2412731951 & 1973.78586737096 \tabularnewline
0.66 & 47066.1112185308 & 1886.89811366454 \tabularnewline
0.67 & 47418.5925114448 & 1799.20602750362 \tabularnewline
0.68 & 47757.8770633497 & 1714.24585635613 \tabularnewline
0.69 & 48084.6580650842 & 1634.72349705929 \tabularnewline
0.7 & 48399.997167721 & 1562.39809783712 \tabularnewline
0.71 & 48705.1748673207 & 1497.81215265991 \tabularnewline
0.72 & 49001.5535707647 & 1440.70038469845 \tabularnewline
0.73 & 49290.4780347168 & 1390.21288639746 \tabularnewline
0.74 & 49573.2273855797 & 1345.27223076372 \tabularnewline
0.75 & 49851.0194180166 & 1305.22762044059 \tabularnewline
0.76 & 50125.0551102958 & 1269.61771525324 \tabularnewline
0.77 & 50396.5832769926 & 1238.76522368419 \tabularnewline
0.78 & 50666.9650749077 & 1213.18921651861 \tabularnewline
0.79 & 50937.7266535786 & 1193.51632481690 \tabularnewline
0.8 & 51210.6034820539 & 1180.30042606047 \tabularnewline
0.81 & 51487.5961980963 & 1173.92323157462 \tabularnewline
0.82 & 51771.0668985077 & 1174.79751407164 \tabularnewline
0.83 & 52063.8981258566 & 1183.74619241918 \tabularnewline
0.84 & 52369.7103679428 & 1202.59506404963 \tabularnewline
0.85 & 52693.0937031774 & 1234.25660767372 \tabularnewline
0.86 & 53039.7743924945 & 1282.30630753699 \tabularnewline
0.87 & 53416.6344867527 & 1349.58560413561 \tabularnewline
0.88 & 53831.5486852903 & 1436.61680611219 \tabularnewline
0.89 & 54293.0815470766 & 1540.58518890989 \tabularnewline
0.9 & 54810.1468407617 & 1656.04703812647 \tabularnewline
0.91 & 55391.7307760959 & 1776.70633255448 \tabularnewline
0.92 & 56046.8127057759 & 1896.29853428257 \tabularnewline
0.93 & 56784.9947742646 & 2006.82130853428 \tabularnewline
0.94 & 57619.4134794206 & 2097.9256923253 \tabularnewline
0.95 & 58574.5324847224 & 2165.16402072966 \tabularnewline
0.96 & 59698.0692190604 & 2235.18027268827 \tabularnewline
0.97 & 61058.9527476923 & 2399.49545603674 \tabularnewline
0.98 & 62679.951727454 & 2799.67260842092 \tabularnewline
0.99 & 64360.5467581266 & 3448.12106863952 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9406&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]19146.6486828160[/C][C]2210.95572158218[/C][/ROW]
[ROW][C]0.02[/C][C]20300.4453887083[/C][C]2071.75871217812[/C][/ROW]
[ROW][C]0.03[/C][C]21551.180166181[/C][C]2286.59524328386[/C][/ROW]
[ROW][C]0.04[/C][C]22772.0831740722[/C][C]2519.22126336121[/C][/ROW]
[ROW][C]0.05[/C][C]23922.8123003677[/C][C]2556.07692454101[/C][/ROW]
[ROW][C]0.06[/C][C]24979.2497824807[/C][C]2430.43585916006[/C][/ROW]
[ROW][C]0.07[/C][C]25927.4113035666[/C][C]2265.11013147638[/C][/ROW]
[ROW][C]0.08[/C][C]26771.3917789146[/C][C]2147.73196204882[/C][/ROW]
[ROW][C]0.09[/C][C]27529.5570360288[/C][C]2093.46483659862[/C][/ROW]
[ROW][C]0.1[/C][C]28223.5507498476[/C][C]2073.45036057193[/C][/ROW]
[ROW][C]0.11[/C][C]28869.8415620971[/C][C]2054.98273232060[/C][/ROW]
[ROW][C]0.12[/C][C]29477.1854008753[/C][C]2019.08833240445[/C][/ROW]
[ROW][C]0.13[/C][C]30048.2418813329[/C][C]1960.1846250314[/C][/ROW]
[ROW][C]0.14[/C][C]30582.4691124378[/C][C]1880.25470559881[/C][/ROW]
[ROW][C]0.15[/C][C]31078.4971557167[/C][C]1784.00294705744[/C][/ROW]
[ROW][C]0.16[/C][C]31535.4787594763[/C][C]1676.71417234483[/C][/ROW]
[ROW][C]0.17[/C][C]31953.6275654332[/C][C]1563.64057540279[/C][/ROW]
[ROW][C]0.18[/C][C]32334.3062336022[/C][C]1450.21325148861[/C][/ROW]
[ROW][C]0.19[/C][C]32679.9141580682[/C][C]1341.70345234503[/C][/ROW]
[ROW][C]0.2[/C][C]32993.6819526286[/C][C]1242.74199118802[/C][/ROW]
[ROW][C]0.21[/C][C]33279.4044153783[/C][C]1156.94521395069[/C][/ROW]
[ROW][C]0.22[/C][C]33541.1337914774[/C][C]1085.91459601241[/C][/ROW]
[ROW][C]0.23[/C][C]33782.873110317[/C][C]1029.44225393899[/C][/ROW]
[ROW][C]0.24[/C][C]34008.3219493060[/C][C]985.75180203049[/C][/ROW]
[ROW][C]0.25[/C][C]34220.7199075769[/C][C]952.601674212092[/C][/ROW]
[ROW][C]0.26[/C][C]34422.8087833527[/C][C]927.607971621385[/C][/ROW]
[ROW][C]0.27[/C][C]34616.9037141201[/C][C]909.427789932505[/C][/ROW]
[ROW][C]0.28[/C][C]34805.03775156[/C][C]897.87129648316[/C][/ROW]
[ROW][C]0.29[/C][C]34989.1309295129[/C][C]893.784919499775[/C][/ROW]
[ROW][C]0.3[/C][C]35171.1358929773[/C][C]898.834819084455[/C][/ROW]
[ROW][C]0.31[/C][C]35353.1250357661[/C][C]914.851171943857[/C][/ROW]
[ROW][C]0.32[/C][C]35537.3035348661[/C][C]943.064619103254[/C][/ROW]
[ROW][C]0.33[/C][C]35725.952662672[/C][C]983.953129076125[/C][/ROW]
[ROW][C]0.34[/C][C]35921.3233027189[/C][C]1037.01024363662[/C][/ROW]
[ROW][C]0.35[/C][C]36125.5077551860[/C][C]1100.51952834872[/C][/ROW]
[ROW][C]0.36[/C][C]36340.3181534345[/C][C]1172.35579824297[/C][/ROW]
[ROW][C]0.37[/C][C]36567.1936456862[/C][C]1250.00936274611[/C][/ROW]
[ROW][C]0.38[/C][C]36807.1487321531[/C][C]1331.03851655196[/C][/ROW]
[ROW][C]0.39[/C][C]37060.7649067157[/C][C]1412.99138059117[/C][/ROW]
[ROW][C]0.4[/C][C]37328.2195908451[/C][C]1494.07745690861[/C][/ROW]
[ROW][C]0.41[/C][C]37609.3416954077[/C][C]1572.59124584719[/C][/ROW]
[ROW][C]0.42[/C][C]37903.6821540615[/C][C]1647.42059914320[/C][/ROW]
[ROW][C]0.43[/C][C]38210.5895495084[/C][C]1717.67477702473[/C][/ROW]
[ROW][C]0.44[/C][C]38529.2840589632[/C][C]1782.80751251860[/C][/ROW]
[ROW][C]0.45[/C][C]38858.925937979[/C][C]1842.67034752875[/C][/ROW]
[ROW][C]0.46[/C][C]39198.6766441586[/C][C]1897.39009641737[/C][/ROW]
[ROW][C]0.47[/C][C]39547.7511335383[/C][C]1947.22636993387[/C][/ROW]
[ROW][C]0.48[/C][C]39905.4591305973[/C][C]1992.96426742288[/C][/ROW]
[ROW][C]0.49[/C][C]40271.2319815661[/C][C]2035.2258570836[/C][/ROW]
[ROW][C]0.5[/C][C]40644.6308753052[/C][C]2074.94707664857[/C][/ROW]
[ROW][C]0.51[/C][C]41025.3324331147[/C][C]2112.79202256321[/C][/ROW]
[ROW][C]0.52[/C][C]41413.0892801092[/C][C]2149.14184403817[/C][/ROW]
[ROW][C]0.53[/C][C]41807.6661825077[/C][C]2184.04658282206[/C][/ROW]
[ROW][C]0.54[/C][C]42208.7562827942[/C][C]2216.88799539629[/C][/ROW]
[ROW][C]0.55[/C][C]42615.8862412621[/C][C]2246.39984601368[/C][/ROW]
[ROW][C]0.56[/C][C]43028.3228942181[/C][C]2270.91791157072[/C][/ROW]
[ROW][C]0.57[/C][C]43444.9965139678[/C][C]2288.18536542705[/C][/ROW]
[ROW][C]0.58[/C][C]43864.4561229456[/C][C]2295.80697961405[/C][/ROW]
[ROW][C]0.59[/C][C]44284.8700119529[/C][C]2291.38172678407[/C][/ROW]
[ROW][C]0.6[/C][C]44704.0794708124[/C][C]2273.16063753073[/C][/ROW]
[ROW][C]0.61[/C][C]45119.7061464419[/C][C]2239.95691600853[/C][/ROW]
[ROW][C]0.62[/C][C]45529.3044302608[/C][C]2191.80298723646[/C][/ROW]
[ROW][C]0.63[/C][C]45930.5414530684[/C][C]2129.70999540233[/C][/ROW]
[ROW][C]0.64[/C][C]46321.3805526287[/C][C]2056.04320895787[/C][/ROW]
[ROW][C]0.65[/C][C]46700.2412731951[/C][C]1973.78586737096[/C][/ROW]
[ROW][C]0.66[/C][C]47066.1112185308[/C][C]1886.89811366454[/C][/ROW]
[ROW][C]0.67[/C][C]47418.5925114448[/C][C]1799.20602750362[/C][/ROW]
[ROW][C]0.68[/C][C]47757.8770633497[/C][C]1714.24585635613[/C][/ROW]
[ROW][C]0.69[/C][C]48084.6580650842[/C][C]1634.72349705929[/C][/ROW]
[ROW][C]0.7[/C][C]48399.997167721[/C][C]1562.39809783712[/C][/ROW]
[ROW][C]0.71[/C][C]48705.1748673207[/C][C]1497.81215265991[/C][/ROW]
[ROW][C]0.72[/C][C]49001.5535707647[/C][C]1440.70038469845[/C][/ROW]
[ROW][C]0.73[/C][C]49290.4780347168[/C][C]1390.21288639746[/C][/ROW]
[ROW][C]0.74[/C][C]49573.2273855797[/C][C]1345.27223076372[/C][/ROW]
[ROW][C]0.75[/C][C]49851.0194180166[/C][C]1305.22762044059[/C][/ROW]
[ROW][C]0.76[/C][C]50125.0551102958[/C][C]1269.61771525324[/C][/ROW]
[ROW][C]0.77[/C][C]50396.5832769926[/C][C]1238.76522368419[/C][/ROW]
[ROW][C]0.78[/C][C]50666.9650749077[/C][C]1213.18921651861[/C][/ROW]
[ROW][C]0.79[/C][C]50937.7266535786[/C][C]1193.51632481690[/C][/ROW]
[ROW][C]0.8[/C][C]51210.6034820539[/C][C]1180.30042606047[/C][/ROW]
[ROW][C]0.81[/C][C]51487.5961980963[/C][C]1173.92323157462[/C][/ROW]
[ROW][C]0.82[/C][C]51771.0668985077[/C][C]1174.79751407164[/C][/ROW]
[ROW][C]0.83[/C][C]52063.8981258566[/C][C]1183.74619241918[/C][/ROW]
[ROW][C]0.84[/C][C]52369.7103679428[/C][C]1202.59506404963[/C][/ROW]
[ROW][C]0.85[/C][C]52693.0937031774[/C][C]1234.25660767372[/C][/ROW]
[ROW][C]0.86[/C][C]53039.7743924945[/C][C]1282.30630753699[/C][/ROW]
[ROW][C]0.87[/C][C]53416.6344867527[/C][C]1349.58560413561[/C][/ROW]
[ROW][C]0.88[/C][C]53831.5486852903[/C][C]1436.61680611219[/C][/ROW]
[ROW][C]0.89[/C][C]54293.0815470766[/C][C]1540.58518890989[/C][/ROW]
[ROW][C]0.9[/C][C]54810.1468407617[/C][C]1656.04703812647[/C][/ROW]
[ROW][C]0.91[/C][C]55391.7307760959[/C][C]1776.70633255448[/C][/ROW]
[ROW][C]0.92[/C][C]56046.8127057759[/C][C]1896.29853428257[/C][/ROW]
[ROW][C]0.93[/C][C]56784.9947742646[/C][C]2006.82130853428[/C][/ROW]
[ROW][C]0.94[/C][C]57619.4134794206[/C][C]2097.9256923253[/C][/ROW]
[ROW][C]0.95[/C][C]58574.5324847224[/C][C]2165.16402072966[/C][/ROW]
[ROW][C]0.96[/C][C]59698.0692190604[/C][C]2235.18027268827[/C][/ROW]
[ROW][C]0.97[/C][C]61058.9527476923[/C][C]2399.49545603674[/C][/ROW]
[ROW][C]0.98[/C][C]62679.951727454[/C][C]2799.67260842092[/C][/ROW]
[ROW][C]0.99[/C][C]64360.5467581266[/C][C]3448.12106863952[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9406&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9406&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
0.0119146.64868281602210.95572158218
0.0220300.44538870832071.75871217812
0.0321551.1801661812286.59524328386
0.0422772.08317407222519.22126336121
0.0523922.81230036772556.07692454101
0.0624979.24978248072430.43585916006
0.0725927.41130356662265.11013147638
0.0826771.39177891462147.73196204882
0.0927529.55703602882093.46483659862
0.128223.55074984762073.45036057193
0.1128869.84156209712054.98273232060
0.1229477.18540087532019.08833240445
0.1330048.24188133291960.1846250314
0.1430582.46911243781880.25470559881
0.1531078.49715571671784.00294705744
0.1631535.47875947631676.71417234483
0.1731953.62756543321563.64057540279
0.1832334.30623360221450.21325148861
0.1932679.91415806821341.70345234503
0.232993.68195262861242.74199118802
0.2133279.40441537831156.94521395069
0.2233541.13379147741085.91459601241
0.2333782.8731103171029.44225393899
0.2434008.3219493060985.75180203049
0.2534220.7199075769952.601674212092
0.2634422.8087833527927.607971621385
0.2734616.9037141201909.427789932505
0.2834805.03775156897.87129648316
0.2934989.1309295129893.784919499775
0.335171.1358929773898.834819084455
0.3135353.1250357661914.851171943857
0.3235537.3035348661943.064619103254
0.3335725.952662672983.953129076125
0.3435921.32330271891037.01024363662
0.3536125.50775518601100.51952834872
0.3636340.31815343451172.35579824297
0.3736567.19364568621250.00936274611
0.3836807.14873215311331.03851655196
0.3937060.76490671571412.99138059117
0.437328.21959084511494.07745690861
0.4137609.34169540771572.59124584719
0.4237903.68215406151647.42059914320
0.4338210.58954950841717.67477702473
0.4438529.28405896321782.80751251860
0.4538858.9259379791842.67034752875
0.4639198.67664415861897.39009641737
0.4739547.75113353831947.22636993387
0.4839905.45913059731992.96426742288
0.4940271.23198156612035.2258570836
0.540644.63087530522074.94707664857
0.5141025.33243311472112.79202256321
0.5241413.08928010922149.14184403817
0.5341807.66618250772184.04658282206
0.5442208.75628279422216.88799539629
0.5542615.88624126212246.39984601368
0.5643028.32289421812270.91791157072
0.5743444.99651396782288.18536542705
0.5843864.45612294562295.80697961405
0.5944284.87001195292291.38172678407
0.644704.07947081242273.16063753073
0.6145119.70614644192239.95691600853
0.6245529.30443026082191.80298723646
0.6345930.54145306842129.70999540233
0.6446321.38055262872056.04320895787
0.6546700.24127319511973.78586737096
0.6647066.11121853081886.89811366454
0.6747418.59251144481799.20602750362
0.6847757.87706334971714.24585635613
0.6948084.65806508421634.72349705929
0.748399.9971677211562.39809783712
0.7148705.17486732071497.81215265991
0.7249001.55357076471440.70038469845
0.7349290.47803471681390.21288639746
0.7449573.22738557971345.27223076372
0.7549851.01941801661305.22762044059
0.7650125.05511029581269.61771525324
0.7750396.58327699261238.76522368419
0.7850666.96507490771213.18921651861
0.7950937.72665357861193.51632481690
0.851210.60348205391180.30042606047
0.8151487.59619809631173.92323157462
0.8251771.06689850771174.79751407164
0.8352063.89812585661183.74619241918
0.8452369.71036794281202.59506404963
0.8552693.09370317741234.25660767372
0.8653039.77439249451282.30630753699
0.8753416.63448675271349.58560413561
0.8853831.54868529031436.61680611219
0.8954293.08154707661540.58518890989
0.954810.14684076171656.04703812647
0.9155391.73077609591776.70633255448
0.9256046.81270577591896.29853428257
0.9356784.99477426462006.82130853428
0.9457619.41347942062097.9256923253
0.9558574.53248472242165.16402072966
0.9659698.06921906042235.18027268827
0.9761058.95274769232399.49545603674
0.9862679.9517274542799.67260842092
0.9964360.54675812663448.12106863952


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
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')