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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 18 Oct 2009 08:56:34 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/18/t1255877838cqv0log736l44kw.htm/, Retrieved Mon, 29 Apr 2024 15:45:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47345, Retrieved Mon, 29 Apr 2024 15:45:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsws3p2.9
Estimated Impact116

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] [] [2009-10-18 14:56:34] [9ea4b07b6662a0f40f92decdf1e3b5d5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1358,01
996,25
1145,66
1313,59
1363,09
1208,65
1016,06
1109,15
1233,99
1101,63
1037,31
1053,70
1042,82
1361,94
1359,60
1268,87
1449,83
1646,20
2305,04
1939,32
1630,19
1979,47
2413,92
2435,64
3392,23
3470,87
2879,79
2709,70
2712,43
2461,57
2522,68
2638,74
3610,47
3537,09
3067,53
3836,15
2937,24
1832,67
1400,23
1244,17
1075,43
1009,45
878,73
915,92
672,62
522,86
515,57
549,60
402,53
426,79
593,26
724,49
780,60
865,32
3007,16
3420,03
-5485,41
-1882,57
-1365,13
-3132,40

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' @ 193.190.124.24

\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' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47345&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' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47345&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47345&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' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-4925.509207108652081.00925104520
0.02-4097.856372914791793.53838745623
0.03-3230.867241989451569.85549133679
0.04-2452.267621345901429.34722779235
0.05-1795.159305928391328.75741610201
0.06-1250.323034528641221.33548674765
0.07-801.5594774640331083.66313964718
0.08-436.833285951972917.181253553346
0.09-147.292005494736738.686030656456
0.175.9052040477086568.747019964745
0.11243.082970724697423.419806563799
0.12365.686841710165310.962038935506
0.13455.056996170833232.400418112900
0.14521.239411305864183.6509704453
0.15572.279848483378157.581013962602
0.16614.05550712297146.122092112200
0.17650.493793133356142.454615900878
0.18683.980892241423142.034596939638
0.19715.803586312889142.271460238591
0.2746.533886278824141.837139881562
0.21776.322358793602140.150602806387
0.22805.101093611218137.055299099032
0.23832.713252399171132.633322671025
0.24858.989760495262127.094825415336
0.25883.791176009305120.713078337214
0.26907.02819405018113.789911443180
0.27928.669738192125106.640826383021
0.28948.74399496026999.5814080937973
0.29967.33523649444592.9231080897592
0.3984.57774511193686.9605632836054
0.311000.6473943566781.9567158691998
0.321015.751222604978.1218233310555
0.331030.1154346555375.5897964949559
0.341043.9724922248874.4007487901803
0.351057.5481620107374.49501008394
0.361071.0494929118775.713612786773
0.371084.6546601686677.833436802272
0.381098.5054555995380.5907388133173
0.391112.7029588401783.708578364015
0.41127.3066435435286.9235903032224
0.411142.3368999737090.0104656028553
0.421157.7807238731192.7849397830923
0.431173.6001471550595.131997677018
0.441189.7428689653196.9955545311646
0.451206.1544728154198.4043192752709
0.461222.7915656104699.4597650653492
0.471239.63512522469100.352746828687
0.481256.70327957867101.349814306243
0.491274.06266108082102.790948060350
0.51291.83740356521105.085104337613
0.511310.21480957284108.675006702217
0.521329.44675843239114.008641271513
0.531349.84609034629121.482161127541
0.541371.77750902138131.388040429154
0.551395.64298356897143.876170679310
0.561421.86215163417158.929456398503
0.571450.84875381971176.356738664586
0.581482.98457847684195.803880599523
0.591518.59269455640216.773122798717
0.61557.91186392774238.645029671836
0.611601.07396651342260.705977387821
0.621648.08609612573282.177562024942
0.631698.81876374063302.248853957737
0.641753.00143276299320.11900066102
0.651810.22641334758335.037462029879
0.661869.96190247502346.341986849199
0.671931.57456661114353.515760576683
0.681994.36141289317356.235812446349
0.692057.58972906908354.417255859325
0.72120.54265386281348.253202122995
0.712182.56667249716338.209623848176
0.722243.11633845817325.022616718248
0.732301.79116086067309.645523727708
0.742358.36014624619293.158036820245
0.752412.77102882468276.669671006238
0.762465.14358068854261.192278794457
0.772515.74910964133247.550919577511
0.782564.98067477817236.297938525986
0.792613.31995567447227.707753591637
0.82661.30646530805221.813802801753
0.812709.51253684783218.485967709271
0.822758.5233674907217.533412749852
0.832808.91623446517218.757032417058
0.842861.22860493357221.938143306517
0.852915.90387998762226.7099100505
0.862973.20874023811232.365474770288
0.873033.1289939085237.665116001378
0.883095.26973742198240.802883321050
0.893158.80427340822239.657931914731
0.93222.52489300987232.338862145284
0.913285.03883934963217.912523448882
0.923345.12402043402197.022619483028
0.933402.22056221728172.171774073233
0.943456.98894647419147.508047858067
0.953511.76890689502128.297941058150
0.963570.50829868129120.408467682322
0.973637.2480726487129.224036438417
0.983712.07806918542155.939997196332
0.993785.31847357874192.58647254262

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -4925.50920710865 & 2081.00925104520 \tabularnewline
0.02 & -4097.85637291479 & 1793.53838745623 \tabularnewline
0.03 & -3230.86724198945 & 1569.85549133679 \tabularnewline
0.04 & -2452.26762134590 & 1429.34722779235 \tabularnewline
0.05 & -1795.15930592839 & 1328.75741610201 \tabularnewline
0.06 & -1250.32303452864 & 1221.33548674765 \tabularnewline
0.07 & -801.559477464033 & 1083.66313964718 \tabularnewline
0.08 & -436.833285951972 & 917.181253553346 \tabularnewline
0.09 & -147.292005494736 & 738.686030656456 \tabularnewline
0.1 & 75.9052040477086 & 568.747019964745 \tabularnewline
0.11 & 243.082970724697 & 423.419806563799 \tabularnewline
0.12 & 365.686841710165 & 310.962038935506 \tabularnewline
0.13 & 455.056996170833 & 232.400418112900 \tabularnewline
0.14 & 521.239411305864 & 183.6509704453 \tabularnewline
0.15 & 572.279848483378 & 157.581013962602 \tabularnewline
0.16 & 614.05550712297 & 146.122092112200 \tabularnewline
0.17 & 650.493793133356 & 142.454615900878 \tabularnewline
0.18 & 683.980892241423 & 142.034596939638 \tabularnewline
0.19 & 715.803586312889 & 142.271460238591 \tabularnewline
0.2 & 746.533886278824 & 141.837139881562 \tabularnewline
0.21 & 776.322358793602 & 140.150602806387 \tabularnewline
0.22 & 805.101093611218 & 137.055299099032 \tabularnewline
0.23 & 832.713252399171 & 132.633322671025 \tabularnewline
0.24 & 858.989760495262 & 127.094825415336 \tabularnewline
0.25 & 883.791176009305 & 120.713078337214 \tabularnewline
0.26 & 907.02819405018 & 113.789911443180 \tabularnewline
0.27 & 928.669738192125 & 106.640826383021 \tabularnewline
0.28 & 948.743994960269 & 99.5814080937973 \tabularnewline
0.29 & 967.335236494445 & 92.9231080897592 \tabularnewline
0.3 & 984.577745111936 & 86.9605632836054 \tabularnewline
0.31 & 1000.64739435667 & 81.9567158691998 \tabularnewline
0.32 & 1015.7512226049 & 78.1218233310555 \tabularnewline
0.33 & 1030.11543465553 & 75.5897964949559 \tabularnewline
0.34 & 1043.97249222488 & 74.4007487901803 \tabularnewline
0.35 & 1057.54816201073 & 74.49501008394 \tabularnewline
0.36 & 1071.04949291187 & 75.713612786773 \tabularnewline
0.37 & 1084.65466016866 & 77.833436802272 \tabularnewline
0.38 & 1098.50545559953 & 80.5907388133173 \tabularnewline
0.39 & 1112.70295884017 & 83.708578364015 \tabularnewline
0.4 & 1127.30664354352 & 86.9235903032224 \tabularnewline
0.41 & 1142.33689997370 & 90.0104656028553 \tabularnewline
0.42 & 1157.78072387311 & 92.7849397830923 \tabularnewline
0.43 & 1173.60014715505 & 95.131997677018 \tabularnewline
0.44 & 1189.74286896531 & 96.9955545311646 \tabularnewline
0.45 & 1206.15447281541 & 98.4043192752709 \tabularnewline
0.46 & 1222.79156561046 & 99.4597650653492 \tabularnewline
0.47 & 1239.63512522469 & 100.352746828687 \tabularnewline
0.48 & 1256.70327957867 & 101.349814306243 \tabularnewline
0.49 & 1274.06266108082 & 102.790948060350 \tabularnewline
0.5 & 1291.83740356521 & 105.085104337613 \tabularnewline
0.51 & 1310.21480957284 & 108.675006702217 \tabularnewline
0.52 & 1329.44675843239 & 114.008641271513 \tabularnewline
0.53 & 1349.84609034629 & 121.482161127541 \tabularnewline
0.54 & 1371.77750902138 & 131.388040429154 \tabularnewline
0.55 & 1395.64298356897 & 143.876170679310 \tabularnewline
0.56 & 1421.86215163417 & 158.929456398503 \tabularnewline
0.57 & 1450.84875381971 & 176.356738664586 \tabularnewline
0.58 & 1482.98457847684 & 195.803880599523 \tabularnewline
0.59 & 1518.59269455640 & 216.773122798717 \tabularnewline
0.6 & 1557.91186392774 & 238.645029671836 \tabularnewline
0.61 & 1601.07396651342 & 260.705977387821 \tabularnewline
0.62 & 1648.08609612573 & 282.177562024942 \tabularnewline
0.63 & 1698.81876374063 & 302.248853957737 \tabularnewline
0.64 & 1753.00143276299 & 320.11900066102 \tabularnewline
0.65 & 1810.22641334758 & 335.037462029879 \tabularnewline
0.66 & 1869.96190247502 & 346.341986849199 \tabularnewline
0.67 & 1931.57456661114 & 353.515760576683 \tabularnewline
0.68 & 1994.36141289317 & 356.235812446349 \tabularnewline
0.69 & 2057.58972906908 & 354.417255859325 \tabularnewline
0.7 & 2120.54265386281 & 348.253202122995 \tabularnewline
0.71 & 2182.56667249716 & 338.209623848176 \tabularnewline
0.72 & 2243.11633845817 & 325.022616718248 \tabularnewline
0.73 & 2301.79116086067 & 309.645523727708 \tabularnewline
0.74 & 2358.36014624619 & 293.158036820245 \tabularnewline
0.75 & 2412.77102882468 & 276.669671006238 \tabularnewline
0.76 & 2465.14358068854 & 261.192278794457 \tabularnewline
0.77 & 2515.74910964133 & 247.550919577511 \tabularnewline
0.78 & 2564.98067477817 & 236.297938525986 \tabularnewline
0.79 & 2613.31995567447 & 227.707753591637 \tabularnewline
0.8 & 2661.30646530805 & 221.813802801753 \tabularnewline
0.81 & 2709.51253684783 & 218.485967709271 \tabularnewline
0.82 & 2758.5233674907 & 217.533412749852 \tabularnewline
0.83 & 2808.91623446517 & 218.757032417058 \tabularnewline
0.84 & 2861.22860493357 & 221.938143306517 \tabularnewline
0.85 & 2915.90387998762 & 226.7099100505 \tabularnewline
0.86 & 2973.20874023811 & 232.365474770288 \tabularnewline
0.87 & 3033.1289939085 & 237.665116001378 \tabularnewline
0.88 & 3095.26973742198 & 240.802883321050 \tabularnewline
0.89 & 3158.80427340822 & 239.657931914731 \tabularnewline
0.9 & 3222.52489300987 & 232.338862145284 \tabularnewline
0.91 & 3285.03883934963 & 217.912523448882 \tabularnewline
0.92 & 3345.12402043402 & 197.022619483028 \tabularnewline
0.93 & 3402.22056221728 & 172.171774073233 \tabularnewline
0.94 & 3456.98894647419 & 147.508047858067 \tabularnewline
0.95 & 3511.76890689502 & 128.297941058150 \tabularnewline
0.96 & 3570.50829868129 & 120.408467682322 \tabularnewline
0.97 & 3637.2480726487 & 129.224036438417 \tabularnewline
0.98 & 3712.07806918542 & 155.939997196332 \tabularnewline
0.99 & 3785.31847357874 & 192.58647254262 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47345&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]-4925.50920710865[/C][C]2081.00925104520[/C][/ROW]
[ROW][C]0.02[/C][C]-4097.85637291479[/C][C]1793.53838745623[/C][/ROW]
[ROW][C]0.03[/C][C]-3230.86724198945[/C][C]1569.85549133679[/C][/ROW]
[ROW][C]0.04[/C][C]-2452.26762134590[/C][C]1429.34722779235[/C][/ROW]
[ROW][C]0.05[/C][C]-1795.15930592839[/C][C]1328.75741610201[/C][/ROW]
[ROW][C]0.06[/C][C]-1250.32303452864[/C][C]1221.33548674765[/C][/ROW]
[ROW][C]0.07[/C][C]-801.559477464033[/C][C]1083.66313964718[/C][/ROW]
[ROW][C]0.08[/C][C]-436.833285951972[/C][C]917.181253553346[/C][/ROW]
[ROW][C]0.09[/C][C]-147.292005494736[/C][C]738.686030656456[/C][/ROW]
[ROW][C]0.1[/C][C]75.9052040477086[/C][C]568.747019964745[/C][/ROW]
[ROW][C]0.11[/C][C]243.082970724697[/C][C]423.419806563799[/C][/ROW]
[ROW][C]0.12[/C][C]365.686841710165[/C][C]310.962038935506[/C][/ROW]
[ROW][C]0.13[/C][C]455.056996170833[/C][C]232.400418112900[/C][/ROW]
[ROW][C]0.14[/C][C]521.239411305864[/C][C]183.6509704453[/C][/ROW]
[ROW][C]0.15[/C][C]572.279848483378[/C][C]157.581013962602[/C][/ROW]
[ROW][C]0.16[/C][C]614.05550712297[/C][C]146.122092112200[/C][/ROW]
[ROW][C]0.17[/C][C]650.493793133356[/C][C]142.454615900878[/C][/ROW]
[ROW][C]0.18[/C][C]683.980892241423[/C][C]142.034596939638[/C][/ROW]
[ROW][C]0.19[/C][C]715.803586312889[/C][C]142.271460238591[/C][/ROW]
[ROW][C]0.2[/C][C]746.533886278824[/C][C]141.837139881562[/C][/ROW]
[ROW][C]0.21[/C][C]776.322358793602[/C][C]140.150602806387[/C][/ROW]
[ROW][C]0.22[/C][C]805.101093611218[/C][C]137.055299099032[/C][/ROW]
[ROW][C]0.23[/C][C]832.713252399171[/C][C]132.633322671025[/C][/ROW]
[ROW][C]0.24[/C][C]858.989760495262[/C][C]127.094825415336[/C][/ROW]
[ROW][C]0.25[/C][C]883.791176009305[/C][C]120.713078337214[/C][/ROW]
[ROW][C]0.26[/C][C]907.02819405018[/C][C]113.789911443180[/C][/ROW]
[ROW][C]0.27[/C][C]928.669738192125[/C][C]106.640826383021[/C][/ROW]
[ROW][C]0.28[/C][C]948.743994960269[/C][C]99.5814080937973[/C][/ROW]
[ROW][C]0.29[/C][C]967.335236494445[/C][C]92.9231080897592[/C][/ROW]
[ROW][C]0.3[/C][C]984.577745111936[/C][C]86.9605632836054[/C][/ROW]
[ROW][C]0.31[/C][C]1000.64739435667[/C][C]81.9567158691998[/C][/ROW]
[ROW][C]0.32[/C][C]1015.7512226049[/C][C]78.1218233310555[/C][/ROW]
[ROW][C]0.33[/C][C]1030.11543465553[/C][C]75.5897964949559[/C][/ROW]
[ROW][C]0.34[/C][C]1043.97249222488[/C][C]74.4007487901803[/C][/ROW]
[ROW][C]0.35[/C][C]1057.54816201073[/C][C]74.49501008394[/C][/ROW]
[ROW][C]0.36[/C][C]1071.04949291187[/C][C]75.713612786773[/C][/ROW]
[ROW][C]0.37[/C][C]1084.65466016866[/C][C]77.833436802272[/C][/ROW]
[ROW][C]0.38[/C][C]1098.50545559953[/C][C]80.5907388133173[/C][/ROW]
[ROW][C]0.39[/C][C]1112.70295884017[/C][C]83.708578364015[/C][/ROW]
[ROW][C]0.4[/C][C]1127.30664354352[/C][C]86.9235903032224[/C][/ROW]
[ROW][C]0.41[/C][C]1142.33689997370[/C][C]90.0104656028553[/C][/ROW]
[ROW][C]0.42[/C][C]1157.78072387311[/C][C]92.7849397830923[/C][/ROW]
[ROW][C]0.43[/C][C]1173.60014715505[/C][C]95.131997677018[/C][/ROW]
[ROW][C]0.44[/C][C]1189.74286896531[/C][C]96.9955545311646[/C][/ROW]
[ROW][C]0.45[/C][C]1206.15447281541[/C][C]98.4043192752709[/C][/ROW]
[ROW][C]0.46[/C][C]1222.79156561046[/C][C]99.4597650653492[/C][/ROW]
[ROW][C]0.47[/C][C]1239.63512522469[/C][C]100.352746828687[/C][/ROW]
[ROW][C]0.48[/C][C]1256.70327957867[/C][C]101.349814306243[/C][/ROW]
[ROW][C]0.49[/C][C]1274.06266108082[/C][C]102.790948060350[/C][/ROW]
[ROW][C]0.5[/C][C]1291.83740356521[/C][C]105.085104337613[/C][/ROW]
[ROW][C]0.51[/C][C]1310.21480957284[/C][C]108.675006702217[/C][/ROW]
[ROW][C]0.52[/C][C]1329.44675843239[/C][C]114.008641271513[/C][/ROW]
[ROW][C]0.53[/C][C]1349.84609034629[/C][C]121.482161127541[/C][/ROW]
[ROW][C]0.54[/C][C]1371.77750902138[/C][C]131.388040429154[/C][/ROW]
[ROW][C]0.55[/C][C]1395.64298356897[/C][C]143.876170679310[/C][/ROW]
[ROW][C]0.56[/C][C]1421.86215163417[/C][C]158.929456398503[/C][/ROW]
[ROW][C]0.57[/C][C]1450.84875381971[/C][C]176.356738664586[/C][/ROW]
[ROW][C]0.58[/C][C]1482.98457847684[/C][C]195.803880599523[/C][/ROW]
[ROW][C]0.59[/C][C]1518.59269455640[/C][C]216.773122798717[/C][/ROW]
[ROW][C]0.6[/C][C]1557.91186392774[/C][C]238.645029671836[/C][/ROW]
[ROW][C]0.61[/C][C]1601.07396651342[/C][C]260.705977387821[/C][/ROW]
[ROW][C]0.62[/C][C]1648.08609612573[/C][C]282.177562024942[/C][/ROW]
[ROW][C]0.63[/C][C]1698.81876374063[/C][C]302.248853957737[/C][/ROW]
[ROW][C]0.64[/C][C]1753.00143276299[/C][C]320.11900066102[/C][/ROW]
[ROW][C]0.65[/C][C]1810.22641334758[/C][C]335.037462029879[/C][/ROW]
[ROW][C]0.66[/C][C]1869.96190247502[/C][C]346.341986849199[/C][/ROW]
[ROW][C]0.67[/C][C]1931.57456661114[/C][C]353.515760576683[/C][/ROW]
[ROW][C]0.68[/C][C]1994.36141289317[/C][C]356.235812446349[/C][/ROW]
[ROW][C]0.69[/C][C]2057.58972906908[/C][C]354.417255859325[/C][/ROW]
[ROW][C]0.7[/C][C]2120.54265386281[/C][C]348.253202122995[/C][/ROW]
[ROW][C]0.71[/C][C]2182.56667249716[/C][C]338.209623848176[/C][/ROW]
[ROW][C]0.72[/C][C]2243.11633845817[/C][C]325.022616718248[/C][/ROW]
[ROW][C]0.73[/C][C]2301.79116086067[/C][C]309.645523727708[/C][/ROW]
[ROW][C]0.74[/C][C]2358.36014624619[/C][C]293.158036820245[/C][/ROW]
[ROW][C]0.75[/C][C]2412.77102882468[/C][C]276.669671006238[/C][/ROW]
[ROW][C]0.76[/C][C]2465.14358068854[/C][C]261.192278794457[/C][/ROW]
[ROW][C]0.77[/C][C]2515.74910964133[/C][C]247.550919577511[/C][/ROW]
[ROW][C]0.78[/C][C]2564.98067477817[/C][C]236.297938525986[/C][/ROW]
[ROW][C]0.79[/C][C]2613.31995567447[/C][C]227.707753591637[/C][/ROW]
[ROW][C]0.8[/C][C]2661.30646530805[/C][C]221.813802801753[/C][/ROW]
[ROW][C]0.81[/C][C]2709.51253684783[/C][C]218.485967709271[/C][/ROW]
[ROW][C]0.82[/C][C]2758.5233674907[/C][C]217.533412749852[/C][/ROW]
[ROW][C]0.83[/C][C]2808.91623446517[/C][C]218.757032417058[/C][/ROW]
[ROW][C]0.84[/C][C]2861.22860493357[/C][C]221.938143306517[/C][/ROW]
[ROW][C]0.85[/C][C]2915.90387998762[/C][C]226.7099100505[/C][/ROW]
[ROW][C]0.86[/C][C]2973.20874023811[/C][C]232.365474770288[/C][/ROW]
[ROW][C]0.87[/C][C]3033.1289939085[/C][C]237.665116001378[/C][/ROW]
[ROW][C]0.88[/C][C]3095.26973742198[/C][C]240.802883321050[/C][/ROW]
[ROW][C]0.89[/C][C]3158.80427340822[/C][C]239.657931914731[/C][/ROW]
[ROW][C]0.9[/C][C]3222.52489300987[/C][C]232.338862145284[/C][/ROW]
[ROW][C]0.91[/C][C]3285.03883934963[/C][C]217.912523448882[/C][/ROW]
[ROW][C]0.92[/C][C]3345.12402043402[/C][C]197.022619483028[/C][/ROW]
[ROW][C]0.93[/C][C]3402.22056221728[/C][C]172.171774073233[/C][/ROW]
[ROW][C]0.94[/C][C]3456.98894647419[/C][C]147.508047858067[/C][/ROW]
[ROW][C]0.95[/C][C]3511.76890689502[/C][C]128.297941058150[/C][/ROW]
[ROW][C]0.96[/C][C]3570.50829868129[/C][C]120.408467682322[/C][/ROW]
[ROW][C]0.97[/C][C]3637.2480726487[/C][C]129.224036438417[/C][/ROW]
[ROW][C]0.98[/C][C]3712.07806918542[/C][C]155.939997196332[/C][/ROW]
[ROW][C]0.99[/C][C]3785.31847357874[/C][C]192.58647254262[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47345&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47345&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
0.01-4925.509207108652081.00925104520
0.02-4097.856372914791793.53838745623
0.03-3230.867241989451569.85549133679
0.04-2452.267621345901429.34722779235
0.05-1795.159305928391328.75741610201
0.06-1250.323034528641221.33548674765
0.07-801.5594774640331083.66313964718
0.08-436.833285951972917.181253553346
0.09-147.292005494736738.686030656456
0.175.9052040477086568.747019964745
0.11243.082970724697423.419806563799
0.12365.686841710165310.962038935506
0.13455.056996170833232.400418112900
0.14521.239411305864183.6509704453
0.15572.279848483378157.581013962602
0.16614.05550712297146.122092112200
0.17650.493793133356142.454615900878
0.18683.980892241423142.034596939638
0.19715.803586312889142.271460238591
0.2746.533886278824141.837139881562
0.21776.322358793602140.150602806387
0.22805.101093611218137.055299099032
0.23832.713252399171132.633322671025
0.24858.989760495262127.094825415336
0.25883.791176009305120.713078337214
0.26907.02819405018113.789911443180
0.27928.669738192125106.640826383021
0.28948.74399496026999.5814080937973
0.29967.33523649444592.9231080897592
0.3984.57774511193686.9605632836054
0.311000.6473943566781.9567158691998
0.321015.751222604978.1218233310555
0.331030.1154346555375.5897964949559
0.341043.9724922248874.4007487901803
0.351057.5481620107374.49501008394
0.361071.0494929118775.713612786773
0.371084.6546601686677.833436802272
0.381098.5054555995380.5907388133173
0.391112.7029588401783.708578364015
0.41127.3066435435286.9235903032224
0.411142.3368999737090.0104656028553
0.421157.7807238731192.7849397830923
0.431173.6001471550595.131997677018
0.441189.7428689653196.9955545311646
0.451206.1544728154198.4043192752709
0.461222.7915656104699.4597650653492
0.471239.63512522469100.352746828687
0.481256.70327957867101.349814306243
0.491274.06266108082102.790948060350
0.51291.83740356521105.085104337613
0.511310.21480957284108.675006702217
0.521329.44675843239114.008641271513
0.531349.84609034629121.482161127541
0.541371.77750902138131.388040429154
0.551395.64298356897143.876170679310
0.561421.86215163417158.929456398503
0.571450.84875381971176.356738664586
0.581482.98457847684195.803880599523
0.591518.59269455640216.773122798717
0.61557.91186392774238.645029671836
0.611601.07396651342260.705977387821
0.621648.08609612573282.177562024942
0.631698.81876374063302.248853957737
0.641753.00143276299320.11900066102
0.651810.22641334758335.037462029879
0.661869.96190247502346.341986849199
0.671931.57456661114353.515760576683
0.681994.36141289317356.235812446349
0.692057.58972906908354.417255859325
0.72120.54265386281348.253202122995
0.712182.56667249716338.209623848176
0.722243.11633845817325.022616718248
0.732301.79116086067309.645523727708
0.742358.36014624619293.158036820245
0.752412.77102882468276.669671006238
0.762465.14358068854261.192278794457
0.772515.74910964133247.550919577511
0.782564.98067477817236.297938525986
0.792613.31995567447227.707753591637
0.82661.30646530805221.813802801753
0.812709.51253684783218.485967709271
0.822758.5233674907217.533412749852
0.832808.91623446517218.757032417058
0.842861.22860493357221.938143306517
0.852915.90387998762226.7099100505
0.862973.20874023811232.365474770288
0.873033.1289939085237.665116001378
0.883095.26973742198240.802883321050
0.893158.80427340822239.657931914731
0.93222.52489300987232.338862145284
0.913285.03883934963217.912523448882
0.923345.12402043402197.022619483028
0.933402.22056221728172.171774073233
0.943456.98894647419147.508047858067
0.953511.76890689502128.297941058150
0.963570.50829868129120.408467682322
0.973637.2480726487129.224036438417
0.983712.07806918542155.939997196332
0.993785.31847357874192.58647254262


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')