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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 computationMon, 05 Aug 2013 10:55:05 -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/Aug/05/t1375714520on3h4fa1wji8yi2.htm/, Retrieved Sat, 27 Apr 2024 23:08:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=210953, Retrieved Sat, 27 Apr 2024 23:08:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsNick Hollevoet
Estimated Impact175

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] [TIJDREEKS (B) - S...] [2013-08-05 14:55:05] [3f9aa5867cfe47c4a12580af2904c765] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1620
1560
1650
1320
1710
1680
1800
1860
2070
1800
1710
2130
1800
1350
1590
1200
1680
1380
1830
1650
1740
1950
1920
2280
1650
1380
1530
1110
1590
1230
1740
1650
1470
2100
1890
2160
1620
1500
1350
1110
1470
1320
1800
1740
1500
2010
1860
2400
1920
1170
1170
1170
1380
1380
1860
1710
1530
1920
1770
2550
2010
1170
1230
1020
1410
1620
2040
2010
1620
1890
1680
2400
1830
1470
1320
990
1470
1770
2070
1950
1440
2070
1620
2490
2070
1500
1380
930
1470
1410
2130
2130
1620
2100
1560
2430
2070
1530
1170
810
1590
1530
2010
2310
1710
1920
1440
2490

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210953&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]3 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=210953&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210953&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01871.48396166396394.6944646788669
0.02949.18816237983178.158684825687
0.031012.1531454598374.2638333738048
0.041061.1186779025469.2956664160033
0.051099.6833225462759.275235921528
0.061129.3903483720547.8833561081577
0.071152.0895153822239.9741069356349
0.081170.5045337122738.5989559382966
0.091187.4686468981543.447767832674
0.11205.0900368902751.4460294691851
0.111224.3407897466259.2352947215474
0.121245.114265015464.447514082699
0.131266.5957418821866.0213441828294
0.141287.7280022347564.1079132046311
0.151307.5935228090559.6962638448627
0.161325.6276359982354.1115561203448
0.171341.6644616597648.6011471461347
0.181355.8671070770144.0847736413005
0.191368.6038263966641.0550253621489
0.21380.3183397583739.5738867678413
0.211391.4231198505139.3448570659859
0.221402.2292737012539.8545679018073
0.231412.9169417755640.5515214596355
0.241423.5430001411941.0152486336395
0.251434.0763885029841.0329800672084
0.261444.4465179635740.6142066726147
0.271454.5890943748639.9341725222555
0.281464.4772483974139.247294819492
0.291474.1326924592738.7890141978355
0.31483.6188074947738.7047809695203
0.311493.0223730577439.0346553912436
0.321502.4318998773839.714571770788
0.331511.9188016928940.6184104131358
0.341521.5246286520941.5907863449632
0.351531.2549552854442.4676495264323
0.361541.0791549195443.0949561884862
0.371550.9351036365843.3455215355895
0.381560.7381330713243.1337379352915
0.391570.3935630167842.4371484911408
0.41579.8115908398941.3051411168888
0.411588.9224288612539.8670250244161
0.421597.688914373238.3043297809899
0.431606.1138779296736.8331829353478
0.441614.2405188542735.6544073496341
0.451622.1456590612534.9176635055972
0.461629.9274923493134.692411058139
0.471637.6907353519634.9669569730206
0.481645.532525598735.6544817223461
0.491653.5319224907236.6288267633405
0.51661.7446697244537.7619874554867
0.511670.2033789639338.9457728827613
0.521678.9219350615740.109296194178
0.531687.9020524937141.2217733232255
0.541697.1397156950942.2821180474613
0.551706.6297073834443.3040842628987
0.561716.3673840120144.2989421215684
0.571726.3479743957245.2615090389216
0.581736.5645779105546.1716533958233
0.591747.006404138446.994433803509
0.61757.6584931371447.7033124860759
0.611768.5033149877848.2857257249651
0.621779.5236403016648.7530781025605
0.631790.7053727654449.1336223360123
0.641802.0390042671449.4602895688903
0.651813.5190610995849.7530381388131
0.661825.1420636825350.0147471083651
0.671836.9045673063550.2275507509465
0.681848.8031998871550.3777963544325
0.691860.8379141663850.4710718594816
0.71873.018019034450.5516854735801
0.711885.368540634750.7031513855142
0.721897.9330336323851.0269519868044
0.731910.7690505920351.5939883334267
0.741923.9345109222652.3966836760009
0.751937.4667110002253.3092810885495
0.761951.3593060800254.0999742762694
0.771965.5446010866654.4735317718637
0.781979.8879203396554.1574795348557
0.791994.198043216952.9672874880059
0.82008.2541001832750.8555611685085
0.812021.8461983231347.9408343338519
0.822034.8245997843344.5039080093069
0.832047.1502500811240.9823594067527
0.842058.9389859296437.9479295498471
0.852070.4959355457636.0386352124303
0.862082.3466915300935.8906954489451
0.872095.2799797458738.1408862922231
0.882110.4035963313243.5277491330258
0.892129.1648592776752.8199632599241
0.92153.2162773395166.1615962457358
0.912183.991665803882.058183568862
0.922221.9987190407796.8459510924353
0.932266.1438388771105.524749115636
0.942313.66598737326104.211065819589
0.952361.0439821001192.9895228482389
0.962405.4225730777876.3676379657962
0.972445.6928771135659.1894409763188
0.982483.4157645233144.2345567370504
0.992521.3889258247943.891364287969

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 871.483961663963 & 94.6944646788669 \tabularnewline
0.02 & 949.188162379831 & 78.158684825687 \tabularnewline
0.03 & 1012.15314545983 & 74.2638333738048 \tabularnewline
0.04 & 1061.11867790254 & 69.2956664160033 \tabularnewline
0.05 & 1099.68332254627 & 59.275235921528 \tabularnewline
0.06 & 1129.39034837205 & 47.8833561081577 \tabularnewline
0.07 & 1152.08951538222 & 39.9741069356349 \tabularnewline
0.08 & 1170.50453371227 & 38.5989559382966 \tabularnewline
0.09 & 1187.46864689815 & 43.447767832674 \tabularnewline
0.1 & 1205.09003689027 & 51.4460294691851 \tabularnewline
0.11 & 1224.34078974662 & 59.2352947215474 \tabularnewline
0.12 & 1245.1142650154 & 64.447514082699 \tabularnewline
0.13 & 1266.59574188218 & 66.0213441828294 \tabularnewline
0.14 & 1287.72800223475 & 64.1079132046311 \tabularnewline
0.15 & 1307.59352280905 & 59.6962638448627 \tabularnewline
0.16 & 1325.62763599823 & 54.1115561203448 \tabularnewline
0.17 & 1341.66446165976 & 48.6011471461347 \tabularnewline
0.18 & 1355.86710707701 & 44.0847736413005 \tabularnewline
0.19 & 1368.60382639666 & 41.0550253621489 \tabularnewline
0.2 & 1380.31833975837 & 39.5738867678413 \tabularnewline
0.21 & 1391.42311985051 & 39.3448570659859 \tabularnewline
0.22 & 1402.22927370125 & 39.8545679018073 \tabularnewline
0.23 & 1412.91694177556 & 40.5515214596355 \tabularnewline
0.24 & 1423.54300014119 & 41.0152486336395 \tabularnewline
0.25 & 1434.07638850298 & 41.0329800672084 \tabularnewline
0.26 & 1444.44651796357 & 40.6142066726147 \tabularnewline
0.27 & 1454.58909437486 & 39.9341725222555 \tabularnewline
0.28 & 1464.47724839741 & 39.247294819492 \tabularnewline
0.29 & 1474.13269245927 & 38.7890141978355 \tabularnewline
0.3 & 1483.61880749477 & 38.7047809695203 \tabularnewline
0.31 & 1493.02237305774 & 39.0346553912436 \tabularnewline
0.32 & 1502.43189987738 & 39.714571770788 \tabularnewline
0.33 & 1511.91880169289 & 40.6184104131358 \tabularnewline
0.34 & 1521.52462865209 & 41.5907863449632 \tabularnewline
0.35 & 1531.25495528544 & 42.4676495264323 \tabularnewline
0.36 & 1541.07915491954 & 43.0949561884862 \tabularnewline
0.37 & 1550.93510363658 & 43.3455215355895 \tabularnewline
0.38 & 1560.73813307132 & 43.1337379352915 \tabularnewline
0.39 & 1570.39356301678 & 42.4371484911408 \tabularnewline
0.4 & 1579.81159083989 & 41.3051411168888 \tabularnewline
0.41 & 1588.92242886125 & 39.8670250244161 \tabularnewline
0.42 & 1597.6889143732 & 38.3043297809899 \tabularnewline
0.43 & 1606.11387792967 & 36.8331829353478 \tabularnewline
0.44 & 1614.24051885427 & 35.6544073496341 \tabularnewline
0.45 & 1622.14565906125 & 34.9176635055972 \tabularnewline
0.46 & 1629.92749234931 & 34.692411058139 \tabularnewline
0.47 & 1637.69073535196 & 34.9669569730206 \tabularnewline
0.48 & 1645.5325255987 & 35.6544817223461 \tabularnewline
0.49 & 1653.53192249072 & 36.6288267633405 \tabularnewline
0.5 & 1661.74466972445 & 37.7619874554867 \tabularnewline
0.51 & 1670.20337896393 & 38.9457728827613 \tabularnewline
0.52 & 1678.92193506157 & 40.109296194178 \tabularnewline
0.53 & 1687.90205249371 & 41.2217733232255 \tabularnewline
0.54 & 1697.13971569509 & 42.2821180474613 \tabularnewline
0.55 & 1706.62970738344 & 43.3040842628987 \tabularnewline
0.56 & 1716.36738401201 & 44.2989421215684 \tabularnewline
0.57 & 1726.34797439572 & 45.2615090389216 \tabularnewline
0.58 & 1736.56457791055 & 46.1716533958233 \tabularnewline
0.59 & 1747.0064041384 & 46.994433803509 \tabularnewline
0.6 & 1757.65849313714 & 47.7033124860759 \tabularnewline
0.61 & 1768.50331498778 & 48.2857257249651 \tabularnewline
0.62 & 1779.52364030166 & 48.7530781025605 \tabularnewline
0.63 & 1790.70537276544 & 49.1336223360123 \tabularnewline
0.64 & 1802.03900426714 & 49.4602895688903 \tabularnewline
0.65 & 1813.51906109958 & 49.7530381388131 \tabularnewline
0.66 & 1825.14206368253 & 50.0147471083651 \tabularnewline
0.67 & 1836.90456730635 & 50.2275507509465 \tabularnewline
0.68 & 1848.80319988715 & 50.3777963544325 \tabularnewline
0.69 & 1860.83791416638 & 50.4710718594816 \tabularnewline
0.7 & 1873.0180190344 & 50.5516854735801 \tabularnewline
0.71 & 1885.3685406347 & 50.7031513855142 \tabularnewline
0.72 & 1897.93303363238 & 51.0269519868044 \tabularnewline
0.73 & 1910.76905059203 & 51.5939883334267 \tabularnewline
0.74 & 1923.93451092226 & 52.3966836760009 \tabularnewline
0.75 & 1937.46671100022 & 53.3092810885495 \tabularnewline
0.76 & 1951.35930608002 & 54.0999742762694 \tabularnewline
0.77 & 1965.54460108666 & 54.4735317718637 \tabularnewline
0.78 & 1979.88792033965 & 54.1574795348557 \tabularnewline
0.79 & 1994.1980432169 & 52.9672874880059 \tabularnewline
0.8 & 2008.25410018327 & 50.8555611685085 \tabularnewline
0.81 & 2021.84619832313 & 47.9408343338519 \tabularnewline
0.82 & 2034.82459978433 & 44.5039080093069 \tabularnewline
0.83 & 2047.15025008112 & 40.9823594067527 \tabularnewline
0.84 & 2058.93898592964 & 37.9479295498471 \tabularnewline
0.85 & 2070.49593554576 & 36.0386352124303 \tabularnewline
0.86 & 2082.34669153009 & 35.8906954489451 \tabularnewline
0.87 & 2095.27997974587 & 38.1408862922231 \tabularnewline
0.88 & 2110.40359633132 & 43.5277491330258 \tabularnewline
0.89 & 2129.16485927767 & 52.8199632599241 \tabularnewline
0.9 & 2153.21627733951 & 66.1615962457358 \tabularnewline
0.91 & 2183.9916658038 & 82.058183568862 \tabularnewline
0.92 & 2221.99871904077 & 96.8459510924353 \tabularnewline
0.93 & 2266.1438388771 & 105.524749115636 \tabularnewline
0.94 & 2313.66598737326 & 104.211065819589 \tabularnewline
0.95 & 2361.04398210011 & 92.9895228482389 \tabularnewline
0.96 & 2405.42257307778 & 76.3676379657962 \tabularnewline
0.97 & 2445.69287711356 & 59.1894409763188 \tabularnewline
0.98 & 2483.41576452331 & 44.2345567370504 \tabularnewline
0.99 & 2521.38892582479 & 43.891364287969 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210953&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]871.483961663963[/C][C]94.6944646788669[/C][/ROW]
[ROW][C]0.02[/C][C]949.188162379831[/C][C]78.158684825687[/C][/ROW]
[ROW][C]0.03[/C][C]1012.15314545983[/C][C]74.2638333738048[/C][/ROW]
[ROW][C]0.04[/C][C]1061.11867790254[/C][C]69.2956664160033[/C][/ROW]
[ROW][C]0.05[/C][C]1099.68332254627[/C][C]59.275235921528[/C][/ROW]
[ROW][C]0.06[/C][C]1129.39034837205[/C][C]47.8833561081577[/C][/ROW]
[ROW][C]0.07[/C][C]1152.08951538222[/C][C]39.9741069356349[/C][/ROW]
[ROW][C]0.08[/C][C]1170.50453371227[/C][C]38.5989559382966[/C][/ROW]
[ROW][C]0.09[/C][C]1187.46864689815[/C][C]43.447767832674[/C][/ROW]
[ROW][C]0.1[/C][C]1205.09003689027[/C][C]51.4460294691851[/C][/ROW]
[ROW][C]0.11[/C][C]1224.34078974662[/C][C]59.2352947215474[/C][/ROW]
[ROW][C]0.12[/C][C]1245.1142650154[/C][C]64.447514082699[/C][/ROW]
[ROW][C]0.13[/C][C]1266.59574188218[/C][C]66.0213441828294[/C][/ROW]
[ROW][C]0.14[/C][C]1287.72800223475[/C][C]64.1079132046311[/C][/ROW]
[ROW][C]0.15[/C][C]1307.59352280905[/C][C]59.6962638448627[/C][/ROW]
[ROW][C]0.16[/C][C]1325.62763599823[/C][C]54.1115561203448[/C][/ROW]
[ROW][C]0.17[/C][C]1341.66446165976[/C][C]48.6011471461347[/C][/ROW]
[ROW][C]0.18[/C][C]1355.86710707701[/C][C]44.0847736413005[/C][/ROW]
[ROW][C]0.19[/C][C]1368.60382639666[/C][C]41.0550253621489[/C][/ROW]
[ROW][C]0.2[/C][C]1380.31833975837[/C][C]39.5738867678413[/C][/ROW]
[ROW][C]0.21[/C][C]1391.42311985051[/C][C]39.3448570659859[/C][/ROW]
[ROW][C]0.22[/C][C]1402.22927370125[/C][C]39.8545679018073[/C][/ROW]
[ROW][C]0.23[/C][C]1412.91694177556[/C][C]40.5515214596355[/C][/ROW]
[ROW][C]0.24[/C][C]1423.54300014119[/C][C]41.0152486336395[/C][/ROW]
[ROW][C]0.25[/C][C]1434.07638850298[/C][C]41.0329800672084[/C][/ROW]
[ROW][C]0.26[/C][C]1444.44651796357[/C][C]40.6142066726147[/C][/ROW]
[ROW][C]0.27[/C][C]1454.58909437486[/C][C]39.9341725222555[/C][/ROW]
[ROW][C]0.28[/C][C]1464.47724839741[/C][C]39.247294819492[/C][/ROW]
[ROW][C]0.29[/C][C]1474.13269245927[/C][C]38.7890141978355[/C][/ROW]
[ROW][C]0.3[/C][C]1483.61880749477[/C][C]38.7047809695203[/C][/ROW]
[ROW][C]0.31[/C][C]1493.02237305774[/C][C]39.0346553912436[/C][/ROW]
[ROW][C]0.32[/C][C]1502.43189987738[/C][C]39.714571770788[/C][/ROW]
[ROW][C]0.33[/C][C]1511.91880169289[/C][C]40.6184104131358[/C][/ROW]
[ROW][C]0.34[/C][C]1521.52462865209[/C][C]41.5907863449632[/C][/ROW]
[ROW][C]0.35[/C][C]1531.25495528544[/C][C]42.4676495264323[/C][/ROW]
[ROW][C]0.36[/C][C]1541.07915491954[/C][C]43.0949561884862[/C][/ROW]
[ROW][C]0.37[/C][C]1550.93510363658[/C][C]43.3455215355895[/C][/ROW]
[ROW][C]0.38[/C][C]1560.73813307132[/C][C]43.1337379352915[/C][/ROW]
[ROW][C]0.39[/C][C]1570.39356301678[/C][C]42.4371484911408[/C][/ROW]
[ROW][C]0.4[/C][C]1579.81159083989[/C][C]41.3051411168888[/C][/ROW]
[ROW][C]0.41[/C][C]1588.92242886125[/C][C]39.8670250244161[/C][/ROW]
[ROW][C]0.42[/C][C]1597.6889143732[/C][C]38.3043297809899[/C][/ROW]
[ROW][C]0.43[/C][C]1606.11387792967[/C][C]36.8331829353478[/C][/ROW]
[ROW][C]0.44[/C][C]1614.24051885427[/C][C]35.6544073496341[/C][/ROW]
[ROW][C]0.45[/C][C]1622.14565906125[/C][C]34.9176635055972[/C][/ROW]
[ROW][C]0.46[/C][C]1629.92749234931[/C][C]34.692411058139[/C][/ROW]
[ROW][C]0.47[/C][C]1637.69073535196[/C][C]34.9669569730206[/C][/ROW]
[ROW][C]0.48[/C][C]1645.5325255987[/C][C]35.6544817223461[/C][/ROW]
[ROW][C]0.49[/C][C]1653.53192249072[/C][C]36.6288267633405[/C][/ROW]
[ROW][C]0.5[/C][C]1661.74466972445[/C][C]37.7619874554867[/C][/ROW]
[ROW][C]0.51[/C][C]1670.20337896393[/C][C]38.9457728827613[/C][/ROW]
[ROW][C]0.52[/C][C]1678.92193506157[/C][C]40.109296194178[/C][/ROW]
[ROW][C]0.53[/C][C]1687.90205249371[/C][C]41.2217733232255[/C][/ROW]
[ROW][C]0.54[/C][C]1697.13971569509[/C][C]42.2821180474613[/C][/ROW]
[ROW][C]0.55[/C][C]1706.62970738344[/C][C]43.3040842628987[/C][/ROW]
[ROW][C]0.56[/C][C]1716.36738401201[/C][C]44.2989421215684[/C][/ROW]
[ROW][C]0.57[/C][C]1726.34797439572[/C][C]45.2615090389216[/C][/ROW]
[ROW][C]0.58[/C][C]1736.56457791055[/C][C]46.1716533958233[/C][/ROW]
[ROW][C]0.59[/C][C]1747.0064041384[/C][C]46.994433803509[/C][/ROW]
[ROW][C]0.6[/C][C]1757.65849313714[/C][C]47.7033124860759[/C][/ROW]
[ROW][C]0.61[/C][C]1768.50331498778[/C][C]48.2857257249651[/C][/ROW]
[ROW][C]0.62[/C][C]1779.52364030166[/C][C]48.7530781025605[/C][/ROW]
[ROW][C]0.63[/C][C]1790.70537276544[/C][C]49.1336223360123[/C][/ROW]
[ROW][C]0.64[/C][C]1802.03900426714[/C][C]49.4602895688903[/C][/ROW]
[ROW][C]0.65[/C][C]1813.51906109958[/C][C]49.7530381388131[/C][/ROW]
[ROW][C]0.66[/C][C]1825.14206368253[/C][C]50.0147471083651[/C][/ROW]
[ROW][C]0.67[/C][C]1836.90456730635[/C][C]50.2275507509465[/C][/ROW]
[ROW][C]0.68[/C][C]1848.80319988715[/C][C]50.3777963544325[/C][/ROW]
[ROW][C]0.69[/C][C]1860.83791416638[/C][C]50.4710718594816[/C][/ROW]
[ROW][C]0.7[/C][C]1873.0180190344[/C][C]50.5516854735801[/C][/ROW]
[ROW][C]0.71[/C][C]1885.3685406347[/C][C]50.7031513855142[/C][/ROW]
[ROW][C]0.72[/C][C]1897.93303363238[/C][C]51.0269519868044[/C][/ROW]
[ROW][C]0.73[/C][C]1910.76905059203[/C][C]51.5939883334267[/C][/ROW]
[ROW][C]0.74[/C][C]1923.93451092226[/C][C]52.3966836760009[/C][/ROW]
[ROW][C]0.75[/C][C]1937.46671100022[/C][C]53.3092810885495[/C][/ROW]
[ROW][C]0.76[/C][C]1951.35930608002[/C][C]54.0999742762694[/C][/ROW]
[ROW][C]0.77[/C][C]1965.54460108666[/C][C]54.4735317718637[/C][/ROW]
[ROW][C]0.78[/C][C]1979.88792033965[/C][C]54.1574795348557[/C][/ROW]
[ROW][C]0.79[/C][C]1994.1980432169[/C][C]52.9672874880059[/C][/ROW]
[ROW][C]0.8[/C][C]2008.25410018327[/C][C]50.8555611685085[/C][/ROW]
[ROW][C]0.81[/C][C]2021.84619832313[/C][C]47.9408343338519[/C][/ROW]
[ROW][C]0.82[/C][C]2034.82459978433[/C][C]44.5039080093069[/C][/ROW]
[ROW][C]0.83[/C][C]2047.15025008112[/C][C]40.9823594067527[/C][/ROW]
[ROW][C]0.84[/C][C]2058.93898592964[/C][C]37.9479295498471[/C][/ROW]
[ROW][C]0.85[/C][C]2070.49593554576[/C][C]36.0386352124303[/C][/ROW]
[ROW][C]0.86[/C][C]2082.34669153009[/C][C]35.8906954489451[/C][/ROW]
[ROW][C]0.87[/C][C]2095.27997974587[/C][C]38.1408862922231[/C][/ROW]
[ROW][C]0.88[/C][C]2110.40359633132[/C][C]43.5277491330258[/C][/ROW]
[ROW][C]0.89[/C][C]2129.16485927767[/C][C]52.8199632599241[/C][/ROW]
[ROW][C]0.9[/C][C]2153.21627733951[/C][C]66.1615962457358[/C][/ROW]
[ROW][C]0.91[/C][C]2183.9916658038[/C][C]82.058183568862[/C][/ROW]
[ROW][C]0.92[/C][C]2221.99871904077[/C][C]96.8459510924353[/C][/ROW]
[ROW][C]0.93[/C][C]2266.1438388771[/C][C]105.524749115636[/C][/ROW]
[ROW][C]0.94[/C][C]2313.66598737326[/C][C]104.211065819589[/C][/ROW]
[ROW][C]0.95[/C][C]2361.04398210011[/C][C]92.9895228482389[/C][/ROW]
[ROW][C]0.96[/C][C]2405.42257307778[/C][C]76.3676379657962[/C][/ROW]
[ROW][C]0.97[/C][C]2445.69287711356[/C][C]59.1894409763188[/C][/ROW]
[ROW][C]0.98[/C][C]2483.41576452331[/C][C]44.2345567370504[/C][/ROW]
[ROW][C]0.99[/C][C]2521.38892582479[/C][C]43.891364287969[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210953&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210953&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
0.01871.48396166396394.6944646788669
0.02949.18816237983178.158684825687
0.031012.1531454598374.2638333738048
0.041061.1186779025469.2956664160033
0.051099.6833225462759.275235921528
0.061129.3903483720547.8833561081577
0.071152.0895153822239.9741069356349
0.081170.5045337122738.5989559382966
0.091187.4686468981543.447767832674
0.11205.0900368902751.4460294691851
0.111224.3407897466259.2352947215474
0.121245.114265015464.447514082699
0.131266.5957418821866.0213441828294
0.141287.7280022347564.1079132046311
0.151307.5935228090559.6962638448627
0.161325.6276359982354.1115561203448
0.171341.6644616597648.6011471461347
0.181355.8671070770144.0847736413005
0.191368.6038263966641.0550253621489
0.21380.3183397583739.5738867678413
0.211391.4231198505139.3448570659859
0.221402.2292737012539.8545679018073
0.231412.9169417755640.5515214596355
0.241423.5430001411941.0152486336395
0.251434.0763885029841.0329800672084
0.261444.4465179635740.6142066726147
0.271454.5890943748639.9341725222555
0.281464.4772483974139.247294819492
0.291474.1326924592738.7890141978355
0.31483.6188074947738.7047809695203
0.311493.0223730577439.0346553912436
0.321502.4318998773839.714571770788
0.331511.9188016928940.6184104131358
0.341521.5246286520941.5907863449632
0.351531.2549552854442.4676495264323
0.361541.0791549195443.0949561884862
0.371550.9351036365843.3455215355895
0.381560.7381330713243.1337379352915
0.391570.3935630167842.4371484911408
0.41579.8115908398941.3051411168888
0.411588.9224288612539.8670250244161
0.421597.688914373238.3043297809899
0.431606.1138779296736.8331829353478
0.441614.2405188542735.6544073496341
0.451622.1456590612534.9176635055972
0.461629.9274923493134.692411058139
0.471637.6907353519634.9669569730206
0.481645.532525598735.6544817223461
0.491653.5319224907236.6288267633405
0.51661.7446697244537.7619874554867
0.511670.2033789639338.9457728827613
0.521678.9219350615740.109296194178
0.531687.9020524937141.2217733232255
0.541697.1397156950942.2821180474613
0.551706.6297073834443.3040842628987
0.561716.3673840120144.2989421215684
0.571726.3479743957245.2615090389216
0.581736.5645779105546.1716533958233
0.591747.006404138446.994433803509
0.61757.6584931371447.7033124860759
0.611768.5033149877848.2857257249651
0.621779.5236403016648.7530781025605
0.631790.7053727654449.1336223360123
0.641802.0390042671449.4602895688903
0.651813.5190610995849.7530381388131
0.661825.1420636825350.0147471083651
0.671836.9045673063550.2275507509465
0.681848.8031998871550.3777963544325
0.691860.8379141663850.4710718594816
0.71873.018019034450.5516854735801
0.711885.368540634750.7031513855142
0.721897.9330336323851.0269519868044
0.731910.7690505920351.5939883334267
0.741923.9345109222652.3966836760009
0.751937.4667110002253.3092810885495
0.761951.3593060800254.0999742762694
0.771965.5446010866654.4735317718637
0.781979.8879203396554.1574795348557
0.791994.198043216952.9672874880059
0.82008.2541001832750.8555611685085
0.812021.8461983231347.9408343338519
0.822034.8245997843344.5039080093069
0.832047.1502500811240.9823594067527
0.842058.9389859296437.9479295498471
0.852070.4959355457636.0386352124303
0.862082.3466915300935.8906954489451
0.872095.2799797458738.1408862922231
0.882110.4035963313243.5277491330258
0.892129.1648592776752.8199632599241
0.92153.2162773395166.1615962457358
0.912183.991665803882.058183568862
0.922221.9987190407796.8459510924353
0.932266.1438388771105.524749115636
0.942313.66598737326104.211065819589
0.952361.0439821001192.9895228482389
0.962405.4225730777876.3676379657962
0.972445.6928771135659.1894409763188
0.982483.4157645233144.2345567370504
0.992521.3889258247943.891364287969


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')