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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, 09 Mar 2008 09:08:35 -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/2008/Mar/09/t1205075411dvrga0gktgshk3q.htm/, Retrieved Sat, 18 May 2024 04:56:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=10043, Retrieved Sat, 18 May 2024 04:56:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact278

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] [Percentielen prij...] [2008-03-09 15:08:35] [6cae5450d413d5fde7d2ce6324b75128] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.63
0.64
0.65
0.65
0.65
0.65
0.65
0.66
0.65
0.66
0.66
0.66
0.66
0.68
0.69
0.7
0.71
0.71
0.7
0.7
0.7
0.7
0.71
0.7
0.7
0.7
0.69
0.7
0.69
0.69
0.69
0.7
0.7
0.71
0.71
0.71
0.72
0.73
0.74
0.74
0.74
0.74
0.75
0.75
0.76
0.76
0.76
0.76
0.76
0.77
0.77
0.78
0.78
0.78
0.78
0.78
0.78
0.78
0.8
0.8
0.8
0.81
0.81
0.81
0.8
0.81
0.81
0.81
0.8
0.82
0.83
0.83

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 4 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=10043&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]4 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=10043&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10043&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 time4 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.6332765565781940.0092390223449749
0.020.6380228046636380.00806715475395053
0.030.6424636530898010.00633674042776194
0.040.6457902312391280.00443110519431112
0.050.6480058661204850.00293521490559015
0.060.6494565528047070.00226440471750507
0.070.6505281603948570.00247804353910427
0.080.6515211172652740.00322003143815575
0.090.6526247170836850.00417672560060413
0.10.6539358499981060.00519900233939262
0.110.6554914428928050.00623847842952909
0.120.6572983874589410.00730936014365758
0.130.6593533243815170.00844650953636472
0.140.661650305595890.00964899601226133
0.150.6641785388745530.0108551044998213
0.160.6669151791402920.0119485170014479
0.170.6698188512425360.0127956603500178
0.180.6728281264447740.0132844678803692
0.190.6758663318180470.0133560149163869
0.20.6788511966157590.0130157583878234
0.210.6817060911074230.0123280515873652
0.220.6843694522071750.0113936787388640
0.230.6868001279301590.010324596768028
0.240.688978075563520.00922078723029082
0.250.6909013529968810.00815323215794702
0.260.6925811650128940.00716276122825075
0.270.6940367672351830.00626513844569593
0.280.6952914977791640.00546090299708677
0.290.6963704454090310.00474908558174502
0.30.6972995891455270.00413453564495882
0.310.6981058444894220.00363041955187732
0.320.6988173630209260.0032560074926617
0.330.6994635817303860.00303723244001507
0.340.7000747840468560.00299045257063819
0.350.7006812003434310.00311676455659339
0.360.7013118637106270.00340216649453479
0.370.7019935144215530.00382029009033357
0.380.702749818375620.00434369214856177
0.390.7036010587788830.00495221811156583
0.40.704564314995750.00562979956858646
0.410.7056539984384940.00636948479442375
0.420.7068825090449020.00716849765252229
0.430.7082607345673880.00802496762977748
0.440.709798151307670.00893875824361573
0.450.7115023931848280.00989979830990745
0.460.71337831079390.0108875216746962
0.470.7154267031726280.0118736879076317
0.480.7176430272119240.0128175575333652
0.490.720016436100620.0136760211581984
0.50.722529452235750.0144069032992243
0.510.7251584517519060.0149733366249632
0.520.7278749620339160.0153514842189936
0.530.730647599279390.0155343957126392
0.540.7334443478585350.0155275482464891
0.550.7362348374024370.0153502514378186
0.560.7389923112665330.0150327940156947
0.570.7416950787950280.0146089845845904
0.580.7443273643072830.0141154960582470
0.590.7468795673398780.0135858209958123
0.60.7493480051673020.0130514618587847
0.610.7517342175603140.0125376847934323
0.620.7540438959512350.0120667580800086
0.630.7562854882115240.0116523039545612
0.640.7584685558881360.0113013780136627
0.650.7606020330918360.0110070799727825
0.660.7626926370394230.0107534142886670
0.670.7647437657152790.0105145718726540
0.680.7667552331970640.0102633544375777
0.690.7687240933228180.00997705749482321
0.70.7706465753994320.00964610694911655
0.710.772520836054380.00928060846194275
0.720.7743499005654840.00891224913594067
0.730.776143937023290.0085902308195474
0.740.777920988281940.00837242635537385
0.750.7797055488819420.00830637202651556
0.760.781524905594570.00841013927133532
0.770.783403846780020.00865774973234906
0.780.7853589796996040.0089814736706954
0.790.7873942263913130.00929024859989428
0.80.789498896137120.00949305593526284
0.810.7916490086856980.00952207667192577
0.820.7938114504601820.009346964744676
0.830.7959494918362830.00897813056150597
0.840.7980276797803820.0084570433427483
0.850.8000145211646540.00783522367452438
0.860.8018827004322980.0071521437521249
0.870.8036083730633370.00642304413063584
0.880.8051725348079040.00564561968178627
0.890.8065677487402960.004828619197557
0.90.8078120856991920.00402444086267312
0.910.8089688662505170.00336362728480502
0.920.8101657641393720.00309051517166022
0.930.8116003069554730.00350116142819402
0.940.8135122837027620.00465391604506622
0.950.8161025731795870.00624881352340625
0.960.8193950775582680.00766524861689663
0.970.8230895358236780.00799307575654254
0.980.8265316991708150.00640698007700682
0.990.8289574383710130.00308506883710451

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.633276556578194 & 0.0092390223449749 \tabularnewline
0.02 & 0.638022804663638 & 0.00806715475395053 \tabularnewline
0.03 & 0.642463653089801 & 0.00633674042776194 \tabularnewline
0.04 & 0.645790231239128 & 0.00443110519431112 \tabularnewline
0.05 & 0.648005866120485 & 0.00293521490559015 \tabularnewline
0.06 & 0.649456552804707 & 0.00226440471750507 \tabularnewline
0.07 & 0.650528160394857 & 0.00247804353910427 \tabularnewline
0.08 & 0.651521117265274 & 0.00322003143815575 \tabularnewline
0.09 & 0.652624717083685 & 0.00417672560060413 \tabularnewline
0.1 & 0.653935849998106 & 0.00519900233939262 \tabularnewline
0.11 & 0.655491442892805 & 0.00623847842952909 \tabularnewline
0.12 & 0.657298387458941 & 0.00730936014365758 \tabularnewline
0.13 & 0.659353324381517 & 0.00844650953636472 \tabularnewline
0.14 & 0.66165030559589 & 0.00964899601226133 \tabularnewline
0.15 & 0.664178538874553 & 0.0108551044998213 \tabularnewline
0.16 & 0.666915179140292 & 0.0119485170014479 \tabularnewline
0.17 & 0.669818851242536 & 0.0127956603500178 \tabularnewline
0.18 & 0.672828126444774 & 0.0132844678803692 \tabularnewline
0.19 & 0.675866331818047 & 0.0133560149163869 \tabularnewline
0.2 & 0.678851196615759 & 0.0130157583878234 \tabularnewline
0.21 & 0.681706091107423 & 0.0123280515873652 \tabularnewline
0.22 & 0.684369452207175 & 0.0113936787388640 \tabularnewline
0.23 & 0.686800127930159 & 0.010324596768028 \tabularnewline
0.24 & 0.68897807556352 & 0.00922078723029082 \tabularnewline
0.25 & 0.690901352996881 & 0.00815323215794702 \tabularnewline
0.26 & 0.692581165012894 & 0.00716276122825075 \tabularnewline
0.27 & 0.694036767235183 & 0.00626513844569593 \tabularnewline
0.28 & 0.695291497779164 & 0.00546090299708677 \tabularnewline
0.29 & 0.696370445409031 & 0.00474908558174502 \tabularnewline
0.3 & 0.697299589145527 & 0.00413453564495882 \tabularnewline
0.31 & 0.698105844489422 & 0.00363041955187732 \tabularnewline
0.32 & 0.698817363020926 & 0.0032560074926617 \tabularnewline
0.33 & 0.699463581730386 & 0.00303723244001507 \tabularnewline
0.34 & 0.700074784046856 & 0.00299045257063819 \tabularnewline
0.35 & 0.700681200343431 & 0.00311676455659339 \tabularnewline
0.36 & 0.701311863710627 & 0.00340216649453479 \tabularnewline
0.37 & 0.701993514421553 & 0.00382029009033357 \tabularnewline
0.38 & 0.70274981837562 & 0.00434369214856177 \tabularnewline
0.39 & 0.703601058778883 & 0.00495221811156583 \tabularnewline
0.4 & 0.70456431499575 & 0.00562979956858646 \tabularnewline
0.41 & 0.705653998438494 & 0.00636948479442375 \tabularnewline
0.42 & 0.706882509044902 & 0.00716849765252229 \tabularnewline
0.43 & 0.708260734567388 & 0.00802496762977748 \tabularnewline
0.44 & 0.70979815130767 & 0.00893875824361573 \tabularnewline
0.45 & 0.711502393184828 & 0.00989979830990745 \tabularnewline
0.46 & 0.7133783107939 & 0.0108875216746962 \tabularnewline
0.47 & 0.715426703172628 & 0.0118736879076317 \tabularnewline
0.48 & 0.717643027211924 & 0.0128175575333652 \tabularnewline
0.49 & 0.72001643610062 & 0.0136760211581984 \tabularnewline
0.5 & 0.72252945223575 & 0.0144069032992243 \tabularnewline
0.51 & 0.725158451751906 & 0.0149733366249632 \tabularnewline
0.52 & 0.727874962033916 & 0.0153514842189936 \tabularnewline
0.53 & 0.73064759927939 & 0.0155343957126392 \tabularnewline
0.54 & 0.733444347858535 & 0.0155275482464891 \tabularnewline
0.55 & 0.736234837402437 & 0.0153502514378186 \tabularnewline
0.56 & 0.738992311266533 & 0.0150327940156947 \tabularnewline
0.57 & 0.741695078795028 & 0.0146089845845904 \tabularnewline
0.58 & 0.744327364307283 & 0.0141154960582470 \tabularnewline
0.59 & 0.746879567339878 & 0.0135858209958123 \tabularnewline
0.6 & 0.749348005167302 & 0.0130514618587847 \tabularnewline
0.61 & 0.751734217560314 & 0.0125376847934323 \tabularnewline
0.62 & 0.754043895951235 & 0.0120667580800086 \tabularnewline
0.63 & 0.756285488211524 & 0.0116523039545612 \tabularnewline
0.64 & 0.758468555888136 & 0.0113013780136627 \tabularnewline
0.65 & 0.760602033091836 & 0.0110070799727825 \tabularnewline
0.66 & 0.762692637039423 & 0.0107534142886670 \tabularnewline
0.67 & 0.764743765715279 & 0.0105145718726540 \tabularnewline
0.68 & 0.766755233197064 & 0.0102633544375777 \tabularnewline
0.69 & 0.768724093322818 & 0.00997705749482321 \tabularnewline
0.7 & 0.770646575399432 & 0.00964610694911655 \tabularnewline
0.71 & 0.77252083605438 & 0.00928060846194275 \tabularnewline
0.72 & 0.774349900565484 & 0.00891224913594067 \tabularnewline
0.73 & 0.77614393702329 & 0.0085902308195474 \tabularnewline
0.74 & 0.77792098828194 & 0.00837242635537385 \tabularnewline
0.75 & 0.779705548881942 & 0.00830637202651556 \tabularnewline
0.76 & 0.78152490559457 & 0.00841013927133532 \tabularnewline
0.77 & 0.78340384678002 & 0.00865774973234906 \tabularnewline
0.78 & 0.785358979699604 & 0.0089814736706954 \tabularnewline
0.79 & 0.787394226391313 & 0.00929024859989428 \tabularnewline
0.8 & 0.78949889613712 & 0.00949305593526284 \tabularnewline
0.81 & 0.791649008685698 & 0.00952207667192577 \tabularnewline
0.82 & 0.793811450460182 & 0.009346964744676 \tabularnewline
0.83 & 0.795949491836283 & 0.00897813056150597 \tabularnewline
0.84 & 0.798027679780382 & 0.0084570433427483 \tabularnewline
0.85 & 0.800014521164654 & 0.00783522367452438 \tabularnewline
0.86 & 0.801882700432298 & 0.0071521437521249 \tabularnewline
0.87 & 0.803608373063337 & 0.00642304413063584 \tabularnewline
0.88 & 0.805172534807904 & 0.00564561968178627 \tabularnewline
0.89 & 0.806567748740296 & 0.004828619197557 \tabularnewline
0.9 & 0.807812085699192 & 0.00402444086267312 \tabularnewline
0.91 & 0.808968866250517 & 0.00336362728480502 \tabularnewline
0.92 & 0.810165764139372 & 0.00309051517166022 \tabularnewline
0.93 & 0.811600306955473 & 0.00350116142819402 \tabularnewline
0.94 & 0.813512283702762 & 0.00465391604506622 \tabularnewline
0.95 & 0.816102573179587 & 0.00624881352340625 \tabularnewline
0.96 & 0.819395077558268 & 0.00766524861689663 \tabularnewline
0.97 & 0.823089535823678 & 0.00799307575654254 \tabularnewline
0.98 & 0.826531699170815 & 0.00640698007700682 \tabularnewline
0.99 & 0.828957438371013 & 0.00308506883710451 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=10043&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]0.633276556578194[/C][C]0.0092390223449749[/C][/ROW]
[ROW][C]0.02[/C][C]0.638022804663638[/C][C]0.00806715475395053[/C][/ROW]
[ROW][C]0.03[/C][C]0.642463653089801[/C][C]0.00633674042776194[/C][/ROW]
[ROW][C]0.04[/C][C]0.645790231239128[/C][C]0.00443110519431112[/C][/ROW]
[ROW][C]0.05[/C][C]0.648005866120485[/C][C]0.00293521490559015[/C][/ROW]
[ROW][C]0.06[/C][C]0.649456552804707[/C][C]0.00226440471750507[/C][/ROW]
[ROW][C]0.07[/C][C]0.650528160394857[/C][C]0.00247804353910427[/C][/ROW]
[ROW][C]0.08[/C][C]0.651521117265274[/C][C]0.00322003143815575[/C][/ROW]
[ROW][C]0.09[/C][C]0.652624717083685[/C][C]0.00417672560060413[/C][/ROW]
[ROW][C]0.1[/C][C]0.653935849998106[/C][C]0.00519900233939262[/C][/ROW]
[ROW][C]0.11[/C][C]0.655491442892805[/C][C]0.00623847842952909[/C][/ROW]
[ROW][C]0.12[/C][C]0.657298387458941[/C][C]0.00730936014365758[/C][/ROW]
[ROW][C]0.13[/C][C]0.659353324381517[/C][C]0.00844650953636472[/C][/ROW]
[ROW][C]0.14[/C][C]0.66165030559589[/C][C]0.00964899601226133[/C][/ROW]
[ROW][C]0.15[/C][C]0.664178538874553[/C][C]0.0108551044998213[/C][/ROW]
[ROW][C]0.16[/C][C]0.666915179140292[/C][C]0.0119485170014479[/C][/ROW]
[ROW][C]0.17[/C][C]0.669818851242536[/C][C]0.0127956603500178[/C][/ROW]
[ROW][C]0.18[/C][C]0.672828126444774[/C][C]0.0132844678803692[/C][/ROW]
[ROW][C]0.19[/C][C]0.675866331818047[/C][C]0.0133560149163869[/C][/ROW]
[ROW][C]0.2[/C][C]0.678851196615759[/C][C]0.0130157583878234[/C][/ROW]
[ROW][C]0.21[/C][C]0.681706091107423[/C][C]0.0123280515873652[/C][/ROW]
[ROW][C]0.22[/C][C]0.684369452207175[/C][C]0.0113936787388640[/C][/ROW]
[ROW][C]0.23[/C][C]0.686800127930159[/C][C]0.010324596768028[/C][/ROW]
[ROW][C]0.24[/C][C]0.68897807556352[/C][C]0.00922078723029082[/C][/ROW]
[ROW][C]0.25[/C][C]0.690901352996881[/C][C]0.00815323215794702[/C][/ROW]
[ROW][C]0.26[/C][C]0.692581165012894[/C][C]0.00716276122825075[/C][/ROW]
[ROW][C]0.27[/C][C]0.694036767235183[/C][C]0.00626513844569593[/C][/ROW]
[ROW][C]0.28[/C][C]0.695291497779164[/C][C]0.00546090299708677[/C][/ROW]
[ROW][C]0.29[/C][C]0.696370445409031[/C][C]0.00474908558174502[/C][/ROW]
[ROW][C]0.3[/C][C]0.697299589145527[/C][C]0.00413453564495882[/C][/ROW]
[ROW][C]0.31[/C][C]0.698105844489422[/C][C]0.00363041955187732[/C][/ROW]
[ROW][C]0.32[/C][C]0.698817363020926[/C][C]0.0032560074926617[/C][/ROW]
[ROW][C]0.33[/C][C]0.699463581730386[/C][C]0.00303723244001507[/C][/ROW]
[ROW][C]0.34[/C][C]0.700074784046856[/C][C]0.00299045257063819[/C][/ROW]
[ROW][C]0.35[/C][C]0.700681200343431[/C][C]0.00311676455659339[/C][/ROW]
[ROW][C]0.36[/C][C]0.701311863710627[/C][C]0.00340216649453479[/C][/ROW]
[ROW][C]0.37[/C][C]0.701993514421553[/C][C]0.00382029009033357[/C][/ROW]
[ROW][C]0.38[/C][C]0.70274981837562[/C][C]0.00434369214856177[/C][/ROW]
[ROW][C]0.39[/C][C]0.703601058778883[/C][C]0.00495221811156583[/C][/ROW]
[ROW][C]0.4[/C][C]0.70456431499575[/C][C]0.00562979956858646[/C][/ROW]
[ROW][C]0.41[/C][C]0.705653998438494[/C][C]0.00636948479442375[/C][/ROW]
[ROW][C]0.42[/C][C]0.706882509044902[/C][C]0.00716849765252229[/C][/ROW]
[ROW][C]0.43[/C][C]0.708260734567388[/C][C]0.00802496762977748[/C][/ROW]
[ROW][C]0.44[/C][C]0.70979815130767[/C][C]0.00893875824361573[/C][/ROW]
[ROW][C]0.45[/C][C]0.711502393184828[/C][C]0.00989979830990745[/C][/ROW]
[ROW][C]0.46[/C][C]0.7133783107939[/C][C]0.0108875216746962[/C][/ROW]
[ROW][C]0.47[/C][C]0.715426703172628[/C][C]0.0118736879076317[/C][/ROW]
[ROW][C]0.48[/C][C]0.717643027211924[/C][C]0.0128175575333652[/C][/ROW]
[ROW][C]0.49[/C][C]0.72001643610062[/C][C]0.0136760211581984[/C][/ROW]
[ROW][C]0.5[/C][C]0.72252945223575[/C][C]0.0144069032992243[/C][/ROW]
[ROW][C]0.51[/C][C]0.725158451751906[/C][C]0.0149733366249632[/C][/ROW]
[ROW][C]0.52[/C][C]0.727874962033916[/C][C]0.0153514842189936[/C][/ROW]
[ROW][C]0.53[/C][C]0.73064759927939[/C][C]0.0155343957126392[/C][/ROW]
[ROW][C]0.54[/C][C]0.733444347858535[/C][C]0.0155275482464891[/C][/ROW]
[ROW][C]0.55[/C][C]0.736234837402437[/C][C]0.0153502514378186[/C][/ROW]
[ROW][C]0.56[/C][C]0.738992311266533[/C][C]0.0150327940156947[/C][/ROW]
[ROW][C]0.57[/C][C]0.741695078795028[/C][C]0.0146089845845904[/C][/ROW]
[ROW][C]0.58[/C][C]0.744327364307283[/C][C]0.0141154960582470[/C][/ROW]
[ROW][C]0.59[/C][C]0.746879567339878[/C][C]0.0135858209958123[/C][/ROW]
[ROW][C]0.6[/C][C]0.749348005167302[/C][C]0.0130514618587847[/C][/ROW]
[ROW][C]0.61[/C][C]0.751734217560314[/C][C]0.0125376847934323[/C][/ROW]
[ROW][C]0.62[/C][C]0.754043895951235[/C][C]0.0120667580800086[/C][/ROW]
[ROW][C]0.63[/C][C]0.756285488211524[/C][C]0.0116523039545612[/C][/ROW]
[ROW][C]0.64[/C][C]0.758468555888136[/C][C]0.0113013780136627[/C][/ROW]
[ROW][C]0.65[/C][C]0.760602033091836[/C][C]0.0110070799727825[/C][/ROW]
[ROW][C]0.66[/C][C]0.762692637039423[/C][C]0.0107534142886670[/C][/ROW]
[ROW][C]0.67[/C][C]0.764743765715279[/C][C]0.0105145718726540[/C][/ROW]
[ROW][C]0.68[/C][C]0.766755233197064[/C][C]0.0102633544375777[/C][/ROW]
[ROW][C]0.69[/C][C]0.768724093322818[/C][C]0.00997705749482321[/C][/ROW]
[ROW][C]0.7[/C][C]0.770646575399432[/C][C]0.00964610694911655[/C][/ROW]
[ROW][C]0.71[/C][C]0.77252083605438[/C][C]0.00928060846194275[/C][/ROW]
[ROW][C]0.72[/C][C]0.774349900565484[/C][C]0.00891224913594067[/C][/ROW]
[ROW][C]0.73[/C][C]0.77614393702329[/C][C]0.0085902308195474[/C][/ROW]
[ROW][C]0.74[/C][C]0.77792098828194[/C][C]0.00837242635537385[/C][/ROW]
[ROW][C]0.75[/C][C]0.779705548881942[/C][C]0.00830637202651556[/C][/ROW]
[ROW][C]0.76[/C][C]0.78152490559457[/C][C]0.00841013927133532[/C][/ROW]
[ROW][C]0.77[/C][C]0.78340384678002[/C][C]0.00865774973234906[/C][/ROW]
[ROW][C]0.78[/C][C]0.785358979699604[/C][C]0.0089814736706954[/C][/ROW]
[ROW][C]0.79[/C][C]0.787394226391313[/C][C]0.00929024859989428[/C][/ROW]
[ROW][C]0.8[/C][C]0.78949889613712[/C][C]0.00949305593526284[/C][/ROW]
[ROW][C]0.81[/C][C]0.791649008685698[/C][C]0.00952207667192577[/C][/ROW]
[ROW][C]0.82[/C][C]0.793811450460182[/C][C]0.009346964744676[/C][/ROW]
[ROW][C]0.83[/C][C]0.795949491836283[/C][C]0.00897813056150597[/C][/ROW]
[ROW][C]0.84[/C][C]0.798027679780382[/C][C]0.0084570433427483[/C][/ROW]
[ROW][C]0.85[/C][C]0.800014521164654[/C][C]0.00783522367452438[/C][/ROW]
[ROW][C]0.86[/C][C]0.801882700432298[/C][C]0.0071521437521249[/C][/ROW]
[ROW][C]0.87[/C][C]0.803608373063337[/C][C]0.00642304413063584[/C][/ROW]
[ROW][C]0.88[/C][C]0.805172534807904[/C][C]0.00564561968178627[/C][/ROW]
[ROW][C]0.89[/C][C]0.806567748740296[/C][C]0.004828619197557[/C][/ROW]
[ROW][C]0.9[/C][C]0.807812085699192[/C][C]0.00402444086267312[/C][/ROW]
[ROW][C]0.91[/C][C]0.808968866250517[/C][C]0.00336362728480502[/C][/ROW]
[ROW][C]0.92[/C][C]0.810165764139372[/C][C]0.00309051517166022[/C][/ROW]
[ROW][C]0.93[/C][C]0.811600306955473[/C][C]0.00350116142819402[/C][/ROW]
[ROW][C]0.94[/C][C]0.813512283702762[/C][C]0.00465391604506622[/C][/ROW]
[ROW][C]0.95[/C][C]0.816102573179587[/C][C]0.00624881352340625[/C][/ROW]
[ROW][C]0.96[/C][C]0.819395077558268[/C][C]0.00766524861689663[/C][/ROW]
[ROW][C]0.97[/C][C]0.823089535823678[/C][C]0.00799307575654254[/C][/ROW]
[ROW][C]0.98[/C][C]0.826531699170815[/C][C]0.00640698007700682[/C][/ROW]
[ROW][C]0.99[/C][C]0.828957438371013[/C][C]0.00308506883710451[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=10043&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10043&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
0.010.6332765565781940.0092390223449749
0.020.6380228046636380.00806715475395053
0.030.6424636530898010.00633674042776194
0.040.6457902312391280.00443110519431112
0.050.6480058661204850.00293521490559015
0.060.6494565528047070.00226440471750507
0.070.6505281603948570.00247804353910427
0.080.6515211172652740.00322003143815575
0.090.6526247170836850.00417672560060413
0.10.6539358499981060.00519900233939262
0.110.6554914428928050.00623847842952909
0.120.6572983874589410.00730936014365758
0.130.6593533243815170.00844650953636472
0.140.661650305595890.00964899601226133
0.150.6641785388745530.0108551044998213
0.160.6669151791402920.0119485170014479
0.170.6698188512425360.0127956603500178
0.180.6728281264447740.0132844678803692
0.190.6758663318180470.0133560149163869
0.20.6788511966157590.0130157583878234
0.210.6817060911074230.0123280515873652
0.220.6843694522071750.0113936787388640
0.230.6868001279301590.010324596768028
0.240.688978075563520.00922078723029082
0.250.6909013529968810.00815323215794702
0.260.6925811650128940.00716276122825075
0.270.6940367672351830.00626513844569593
0.280.6952914977791640.00546090299708677
0.290.6963704454090310.00474908558174502
0.30.6972995891455270.00413453564495882
0.310.6981058444894220.00363041955187732
0.320.6988173630209260.0032560074926617
0.330.6994635817303860.00303723244001507
0.340.7000747840468560.00299045257063819
0.350.7006812003434310.00311676455659339
0.360.7013118637106270.00340216649453479
0.370.7019935144215530.00382029009033357
0.380.702749818375620.00434369214856177
0.390.7036010587788830.00495221811156583
0.40.704564314995750.00562979956858646
0.410.7056539984384940.00636948479442375
0.420.7068825090449020.00716849765252229
0.430.7082607345673880.00802496762977748
0.440.709798151307670.00893875824361573
0.450.7115023931848280.00989979830990745
0.460.71337831079390.0108875216746962
0.470.7154267031726280.0118736879076317
0.480.7176430272119240.0128175575333652
0.490.720016436100620.0136760211581984
0.50.722529452235750.0144069032992243
0.510.7251584517519060.0149733366249632
0.520.7278749620339160.0153514842189936
0.530.730647599279390.0155343957126392
0.540.7334443478585350.0155275482464891
0.550.7362348374024370.0153502514378186
0.560.7389923112665330.0150327940156947
0.570.7416950787950280.0146089845845904
0.580.7443273643072830.0141154960582470
0.590.7468795673398780.0135858209958123
0.60.7493480051673020.0130514618587847
0.610.7517342175603140.0125376847934323
0.620.7540438959512350.0120667580800086
0.630.7562854882115240.0116523039545612
0.640.7584685558881360.0113013780136627
0.650.7606020330918360.0110070799727825
0.660.7626926370394230.0107534142886670
0.670.7647437657152790.0105145718726540
0.680.7667552331970640.0102633544375777
0.690.7687240933228180.00997705749482321
0.70.7706465753994320.00964610694911655
0.710.772520836054380.00928060846194275
0.720.7743499005654840.00891224913594067
0.730.776143937023290.0085902308195474
0.740.777920988281940.00837242635537385
0.750.7797055488819420.00830637202651556
0.760.781524905594570.00841013927133532
0.770.783403846780020.00865774973234906
0.780.7853589796996040.0089814736706954
0.790.7873942263913130.00929024859989428
0.80.789498896137120.00949305593526284
0.810.7916490086856980.00952207667192577
0.820.7938114504601820.009346964744676
0.830.7959494918362830.00897813056150597
0.840.7980276797803820.0084570433427483
0.850.8000145211646540.00783522367452438
0.860.8018827004322980.0071521437521249
0.870.8036083730633370.00642304413063584
0.880.8051725348079040.00564561968178627
0.890.8065677487402960.004828619197557
0.90.8078120856991920.00402444086267312
0.910.8089688662505170.00336362728480502
0.920.8101657641393720.00309051517166022
0.930.8116003069554730.00350116142819402
0.940.8135122837027620.00465391604506622
0.950.8161025731795870.00624881352340625
0.960.8193950775582680.00766524861689663
0.970.8230895358236780.00799307575654254
0.980.8265316991708150.00640698007700682
0.990.8289574383710130.00308506883710451


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')