FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 15 Oct 2012 11:07:30 -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/2012/Oct/15/t13503137152ihbrocg9wat1yp.htm/, Retrieved Wed, 08 May 2024 01:29:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=177239, Retrieved Wed, 08 May 2024 01:29:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact56

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] [] [2012-10-15 15:07:30] [be23bcf5581d42dc10000203a523c779] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,68
0,68
0,69
0,69
0,7
0,7
0,7
0,7
0,7
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,76
0,77
0,78
0,85
0,89
0,9
0,91
0,91
0,91
0,9
0,89
0,88
0,87
0,86
0,87
0,87
0,87
0,85
0,84
0,84
0,84
0,84
0,84
0,82
0,87
0,92
0,92
0,92
0,93
0,94
0,87
0,84
0,83
0,81
0,81
0,81
0,8
0,8
0,8
0,8
0,8
0,8
0,79
0,8
0,8
0,8
0,81
0,83
0,83
0,83
0,83
0,82
0,82
0,82

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'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=177239&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=177239&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=177239&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.6808704319794680.00256812954322925
0.020.6828546862319520.00516433523822421
0.030.6856653952125050.00646364566938098
0.040.6887695428731160.00663067850655202
0.050.691734104561730.00622874439617743
0.060.6943399961607340.00560001072084946
0.070.6965400379947440.00493893763377342
0.080.6983850422015020.00442975933614115
0.090.6999679864550740.0042059723065466
0.10.7013868715761740.00425472927688085
0.110.7027210367638960.00444357987664067
0.120.7040217266467810.00464285990272502
0.130.7053176154504630.00481201827699947
0.140.7066311054269960.00502667273111401
0.150.7079975579024890.00547012593398884
0.160.7094797121088660.00637571299769489
0.170.7111724144971740.0079269696381178
0.180.7131964255050840.0101917971177543
0.190.7156830941206990.0131227068273735
0.20.7187535827171090.0165748709818424
0.210.7224971188722460.0203187121829064
0.220.7269526418392440.0240612308796068
0.230.7320973745645310.0274796632142354
0.240.7378444510980510.0302682419980094
0.250.7440499900466820.0321770257654647
0.260.7505282488411230.0330523956194225
0.270.7570720853192740.0328486783620775
0.280.7634751903017290.0316318385579535
0.290.7695525667283940.0295580702391333
0.30.7751564383234570.0268482500100468
0.310.7801859247675970.0237537507985222
0.320.7845900965859560.0205227271516175
0.330.7883651265996530.017378296510305
0.340.7915469960269550.0144985712508286
0.350.7942015331432950.0120122247176007
0.360.79641351260930.00999826576727252
0.370.7982762404615650.0084913449514183
0.380.7998826244891740.00748412727067418
0.390.8013182918680060.00692974470575657
0.40.8026569366554240.00674678476885223
0.410.8039577920299310.00683539003983781
0.420.805264930898350.0070983218941032
0.430.8066079930763150.00745325835866097
0.440.8080039014689030.00783806112463053
0.450.8094591471587020.00820775312283275
0.460.810972279073210.00853265018179765
0.470.8125363139540340.00879382816876004
0.480.8141408730837410.00898310201885413
0.490.8157739407730750.00909826468926402
0.50.8174232152047610.00914316624053082
0.510.8190770779577150.00912376219957549
0.520.8207252425292830.00904956790872233
0.530.8223591574617860.00893138736218541
0.540.8239722424565360.00877971902236636
0.550.8255600325912460.00860562373478864
0.560.8271203001476440.0084217797690137
0.570.8286532146318180.0082399928483471
0.580.8301615839706290.00807341877877997
0.590.8316511867007590.00793846826605187
0.60.8331311525361020.00785119015926048
0.610.8346142813928970.00783307828727549
0.620.8361171240150360.0079068638706889
0.630.8376596055461710.00809344672417835
0.640.8392639848475460.00840851529244271
0.650.8409530285237310.00885484810960472
0.660.8427474434203610.00941489201384251
0.670.8446628333020570.0100518722975671
0.680.8467066763651050.0107087130531096
0.690.8488759929553710.0113180250371149
0.70.8511564169346550.0118107842177912
0.710.8535232471400720.0121273745427282
0.720.855944723983640.0122321515803503
0.730.8583872909095620.0121203413479104
0.740.8608220576816680.0118264321708196
0.750.8632312206522440.0114208021254924
0.760.8656129632649220.0110029046144921
0.770.8679834742225090.010685028892748
0.780.8703752188549170.0105631687481149
0.790.8728314087172790.0106910235871336
0.80.8753975505104810.0110573404869775
0.810.8781117607359680.0115879552582775
0.820.8809959562289570.0121688714823944
0.830.8840499229564040.0126742244359542
0.840.88724964428540.0129939484402703
0.850.8905503160016810.0130506925246408
0.860.8938934408440840.0128099416777608
0.870.8972164793934040.0122843820986253
0.880.9004628426098160.0115261109111721
0.890.9035897037992630.0106178999405464
0.90.9065716620819620.00965202739301647
0.910.9094005030503610.00870398416628355
0.920.9120854826803690.00780880874538308
0.930.9146628434247510.00697445053329598
0.940.9172223955079370.00625799930580599
0.950.9199459325310840.00588295587460661
0.960.9231229498911520.00618576585717912
0.970.9270670941484160.00717902346656872
0.980.9318279319663770.00836569265403789
0.990.9366961204791690.00929764952256009

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.680870431979468 & 0.00256812954322925 \tabularnewline
0.02 & 0.682854686231952 & 0.00516433523822421 \tabularnewline
0.03 & 0.685665395212505 & 0.00646364566938098 \tabularnewline
0.04 & 0.688769542873116 & 0.00663067850655202 \tabularnewline
0.05 & 0.69173410456173 & 0.00622874439617743 \tabularnewline
0.06 & 0.694339996160734 & 0.00560001072084946 \tabularnewline
0.07 & 0.696540037994744 & 0.00493893763377342 \tabularnewline
0.08 & 0.698385042201502 & 0.00442975933614115 \tabularnewline
0.09 & 0.699967986455074 & 0.0042059723065466 \tabularnewline
0.1 & 0.701386871576174 & 0.00425472927688085 \tabularnewline
0.11 & 0.702721036763896 & 0.00444357987664067 \tabularnewline
0.12 & 0.704021726646781 & 0.00464285990272502 \tabularnewline
0.13 & 0.705317615450463 & 0.00481201827699947 \tabularnewline
0.14 & 0.706631105426996 & 0.00502667273111401 \tabularnewline
0.15 & 0.707997557902489 & 0.00547012593398884 \tabularnewline
0.16 & 0.709479712108866 & 0.00637571299769489 \tabularnewline
0.17 & 0.711172414497174 & 0.0079269696381178 \tabularnewline
0.18 & 0.713196425505084 & 0.0101917971177543 \tabularnewline
0.19 & 0.715683094120699 & 0.0131227068273735 \tabularnewline
0.2 & 0.718753582717109 & 0.0165748709818424 \tabularnewline
0.21 & 0.722497118872246 & 0.0203187121829064 \tabularnewline
0.22 & 0.726952641839244 & 0.0240612308796068 \tabularnewline
0.23 & 0.732097374564531 & 0.0274796632142354 \tabularnewline
0.24 & 0.737844451098051 & 0.0302682419980094 \tabularnewline
0.25 & 0.744049990046682 & 0.0321770257654647 \tabularnewline
0.26 & 0.750528248841123 & 0.0330523956194225 \tabularnewline
0.27 & 0.757072085319274 & 0.0328486783620775 \tabularnewline
0.28 & 0.763475190301729 & 0.0316318385579535 \tabularnewline
0.29 & 0.769552566728394 & 0.0295580702391333 \tabularnewline
0.3 & 0.775156438323457 & 0.0268482500100468 \tabularnewline
0.31 & 0.780185924767597 & 0.0237537507985222 \tabularnewline
0.32 & 0.784590096585956 & 0.0205227271516175 \tabularnewline
0.33 & 0.788365126599653 & 0.017378296510305 \tabularnewline
0.34 & 0.791546996026955 & 0.0144985712508286 \tabularnewline
0.35 & 0.794201533143295 & 0.0120122247176007 \tabularnewline
0.36 & 0.7964135126093 & 0.00999826576727252 \tabularnewline
0.37 & 0.798276240461565 & 0.0084913449514183 \tabularnewline
0.38 & 0.799882624489174 & 0.00748412727067418 \tabularnewline
0.39 & 0.801318291868006 & 0.00692974470575657 \tabularnewline
0.4 & 0.802656936655424 & 0.00674678476885223 \tabularnewline
0.41 & 0.803957792029931 & 0.00683539003983781 \tabularnewline
0.42 & 0.80526493089835 & 0.0070983218941032 \tabularnewline
0.43 & 0.806607993076315 & 0.00745325835866097 \tabularnewline
0.44 & 0.808003901468903 & 0.00783806112463053 \tabularnewline
0.45 & 0.809459147158702 & 0.00820775312283275 \tabularnewline
0.46 & 0.81097227907321 & 0.00853265018179765 \tabularnewline
0.47 & 0.812536313954034 & 0.00879382816876004 \tabularnewline
0.48 & 0.814140873083741 & 0.00898310201885413 \tabularnewline
0.49 & 0.815773940773075 & 0.00909826468926402 \tabularnewline
0.5 & 0.817423215204761 & 0.00914316624053082 \tabularnewline
0.51 & 0.819077077957715 & 0.00912376219957549 \tabularnewline
0.52 & 0.820725242529283 & 0.00904956790872233 \tabularnewline
0.53 & 0.822359157461786 & 0.00893138736218541 \tabularnewline
0.54 & 0.823972242456536 & 0.00877971902236636 \tabularnewline
0.55 & 0.825560032591246 & 0.00860562373478864 \tabularnewline
0.56 & 0.827120300147644 & 0.0084217797690137 \tabularnewline
0.57 & 0.828653214631818 & 0.0082399928483471 \tabularnewline
0.58 & 0.830161583970629 & 0.00807341877877997 \tabularnewline
0.59 & 0.831651186700759 & 0.00793846826605187 \tabularnewline
0.6 & 0.833131152536102 & 0.00785119015926048 \tabularnewline
0.61 & 0.834614281392897 & 0.00783307828727549 \tabularnewline
0.62 & 0.836117124015036 & 0.0079068638706889 \tabularnewline
0.63 & 0.837659605546171 & 0.00809344672417835 \tabularnewline
0.64 & 0.839263984847546 & 0.00840851529244271 \tabularnewline
0.65 & 0.840953028523731 & 0.00885484810960472 \tabularnewline
0.66 & 0.842747443420361 & 0.00941489201384251 \tabularnewline
0.67 & 0.844662833302057 & 0.0100518722975671 \tabularnewline
0.68 & 0.846706676365105 & 0.0107087130531096 \tabularnewline
0.69 & 0.848875992955371 & 0.0113180250371149 \tabularnewline
0.7 & 0.851156416934655 & 0.0118107842177912 \tabularnewline
0.71 & 0.853523247140072 & 0.0121273745427282 \tabularnewline
0.72 & 0.85594472398364 & 0.0122321515803503 \tabularnewline
0.73 & 0.858387290909562 & 0.0121203413479104 \tabularnewline
0.74 & 0.860822057681668 & 0.0118264321708196 \tabularnewline
0.75 & 0.863231220652244 & 0.0114208021254924 \tabularnewline
0.76 & 0.865612963264922 & 0.0110029046144921 \tabularnewline
0.77 & 0.867983474222509 & 0.010685028892748 \tabularnewline
0.78 & 0.870375218854917 & 0.0105631687481149 \tabularnewline
0.79 & 0.872831408717279 & 0.0106910235871336 \tabularnewline
0.8 & 0.875397550510481 & 0.0110573404869775 \tabularnewline
0.81 & 0.878111760735968 & 0.0115879552582775 \tabularnewline
0.82 & 0.880995956228957 & 0.0121688714823944 \tabularnewline
0.83 & 0.884049922956404 & 0.0126742244359542 \tabularnewline
0.84 & 0.8872496442854 & 0.0129939484402703 \tabularnewline
0.85 & 0.890550316001681 & 0.0130506925246408 \tabularnewline
0.86 & 0.893893440844084 & 0.0128099416777608 \tabularnewline
0.87 & 0.897216479393404 & 0.0122843820986253 \tabularnewline
0.88 & 0.900462842609816 & 0.0115261109111721 \tabularnewline
0.89 & 0.903589703799263 & 0.0106178999405464 \tabularnewline
0.9 & 0.906571662081962 & 0.00965202739301647 \tabularnewline
0.91 & 0.909400503050361 & 0.00870398416628355 \tabularnewline
0.92 & 0.912085482680369 & 0.00780880874538308 \tabularnewline
0.93 & 0.914662843424751 & 0.00697445053329598 \tabularnewline
0.94 & 0.917222395507937 & 0.00625799930580599 \tabularnewline
0.95 & 0.919945932531084 & 0.00588295587460661 \tabularnewline
0.96 & 0.923122949891152 & 0.00618576585717912 \tabularnewline
0.97 & 0.927067094148416 & 0.00717902346656872 \tabularnewline
0.98 & 0.931827931966377 & 0.00836569265403789 \tabularnewline
0.99 & 0.936696120479169 & 0.00929764952256009 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=177239&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]0.680870431979468[/C][C]0.00256812954322925[/C][/ROW]
[ROW][C]0.02[/C][C]0.682854686231952[/C][C]0.00516433523822421[/C][/ROW]
[ROW][C]0.03[/C][C]0.685665395212505[/C][C]0.00646364566938098[/C][/ROW]
[ROW][C]0.04[/C][C]0.688769542873116[/C][C]0.00663067850655202[/C][/ROW]
[ROW][C]0.05[/C][C]0.69173410456173[/C][C]0.00622874439617743[/C][/ROW]
[ROW][C]0.06[/C][C]0.694339996160734[/C][C]0.00560001072084946[/C][/ROW]
[ROW][C]0.07[/C][C]0.696540037994744[/C][C]0.00493893763377342[/C][/ROW]
[ROW][C]0.08[/C][C]0.698385042201502[/C][C]0.00442975933614115[/C][/ROW]
[ROW][C]0.09[/C][C]0.699967986455074[/C][C]0.0042059723065466[/C][/ROW]
[ROW][C]0.1[/C][C]0.701386871576174[/C][C]0.00425472927688085[/C][/ROW]
[ROW][C]0.11[/C][C]0.702721036763896[/C][C]0.00444357987664067[/C][/ROW]
[ROW][C]0.12[/C][C]0.704021726646781[/C][C]0.00464285990272502[/C][/ROW]
[ROW][C]0.13[/C][C]0.705317615450463[/C][C]0.00481201827699947[/C][/ROW]
[ROW][C]0.14[/C][C]0.706631105426996[/C][C]0.00502667273111401[/C][/ROW]
[ROW][C]0.15[/C][C]0.707997557902489[/C][C]0.00547012593398884[/C][/ROW]
[ROW][C]0.16[/C][C]0.709479712108866[/C][C]0.00637571299769489[/C][/ROW]
[ROW][C]0.17[/C][C]0.711172414497174[/C][C]0.0079269696381178[/C][/ROW]
[ROW][C]0.18[/C][C]0.713196425505084[/C][C]0.0101917971177543[/C][/ROW]
[ROW][C]0.19[/C][C]0.715683094120699[/C][C]0.0131227068273735[/C][/ROW]
[ROW][C]0.2[/C][C]0.718753582717109[/C][C]0.0165748709818424[/C][/ROW]
[ROW][C]0.21[/C][C]0.722497118872246[/C][C]0.0203187121829064[/C][/ROW]
[ROW][C]0.22[/C][C]0.726952641839244[/C][C]0.0240612308796068[/C][/ROW]
[ROW][C]0.23[/C][C]0.732097374564531[/C][C]0.0274796632142354[/C][/ROW]
[ROW][C]0.24[/C][C]0.737844451098051[/C][C]0.0302682419980094[/C][/ROW]
[ROW][C]0.25[/C][C]0.744049990046682[/C][C]0.0321770257654647[/C][/ROW]
[ROW][C]0.26[/C][C]0.750528248841123[/C][C]0.0330523956194225[/C][/ROW]
[ROW][C]0.27[/C][C]0.757072085319274[/C][C]0.0328486783620775[/C][/ROW]
[ROW][C]0.28[/C][C]0.763475190301729[/C][C]0.0316318385579535[/C][/ROW]
[ROW][C]0.29[/C][C]0.769552566728394[/C][C]0.0295580702391333[/C][/ROW]
[ROW][C]0.3[/C][C]0.775156438323457[/C][C]0.0268482500100468[/C][/ROW]
[ROW][C]0.31[/C][C]0.780185924767597[/C][C]0.0237537507985222[/C][/ROW]
[ROW][C]0.32[/C][C]0.784590096585956[/C][C]0.0205227271516175[/C][/ROW]
[ROW][C]0.33[/C][C]0.788365126599653[/C][C]0.017378296510305[/C][/ROW]
[ROW][C]0.34[/C][C]0.791546996026955[/C][C]0.0144985712508286[/C][/ROW]
[ROW][C]0.35[/C][C]0.794201533143295[/C][C]0.0120122247176007[/C][/ROW]
[ROW][C]0.36[/C][C]0.7964135126093[/C][C]0.00999826576727252[/C][/ROW]
[ROW][C]0.37[/C][C]0.798276240461565[/C][C]0.0084913449514183[/C][/ROW]
[ROW][C]0.38[/C][C]0.799882624489174[/C][C]0.00748412727067418[/C][/ROW]
[ROW][C]0.39[/C][C]0.801318291868006[/C][C]0.00692974470575657[/C][/ROW]
[ROW][C]0.4[/C][C]0.802656936655424[/C][C]0.00674678476885223[/C][/ROW]
[ROW][C]0.41[/C][C]0.803957792029931[/C][C]0.00683539003983781[/C][/ROW]
[ROW][C]0.42[/C][C]0.80526493089835[/C][C]0.0070983218941032[/C][/ROW]
[ROW][C]0.43[/C][C]0.806607993076315[/C][C]0.00745325835866097[/C][/ROW]
[ROW][C]0.44[/C][C]0.808003901468903[/C][C]0.00783806112463053[/C][/ROW]
[ROW][C]0.45[/C][C]0.809459147158702[/C][C]0.00820775312283275[/C][/ROW]
[ROW][C]0.46[/C][C]0.81097227907321[/C][C]0.00853265018179765[/C][/ROW]
[ROW][C]0.47[/C][C]0.812536313954034[/C][C]0.00879382816876004[/C][/ROW]
[ROW][C]0.48[/C][C]0.814140873083741[/C][C]0.00898310201885413[/C][/ROW]
[ROW][C]0.49[/C][C]0.815773940773075[/C][C]0.00909826468926402[/C][/ROW]
[ROW][C]0.5[/C][C]0.817423215204761[/C][C]0.00914316624053082[/C][/ROW]
[ROW][C]0.51[/C][C]0.819077077957715[/C][C]0.00912376219957549[/C][/ROW]
[ROW][C]0.52[/C][C]0.820725242529283[/C][C]0.00904956790872233[/C][/ROW]
[ROW][C]0.53[/C][C]0.822359157461786[/C][C]0.00893138736218541[/C][/ROW]
[ROW][C]0.54[/C][C]0.823972242456536[/C][C]0.00877971902236636[/C][/ROW]
[ROW][C]0.55[/C][C]0.825560032591246[/C][C]0.00860562373478864[/C][/ROW]
[ROW][C]0.56[/C][C]0.827120300147644[/C][C]0.0084217797690137[/C][/ROW]
[ROW][C]0.57[/C][C]0.828653214631818[/C][C]0.0082399928483471[/C][/ROW]
[ROW][C]0.58[/C][C]0.830161583970629[/C][C]0.00807341877877997[/C][/ROW]
[ROW][C]0.59[/C][C]0.831651186700759[/C][C]0.00793846826605187[/C][/ROW]
[ROW][C]0.6[/C][C]0.833131152536102[/C][C]0.00785119015926048[/C][/ROW]
[ROW][C]0.61[/C][C]0.834614281392897[/C][C]0.00783307828727549[/C][/ROW]
[ROW][C]0.62[/C][C]0.836117124015036[/C][C]0.0079068638706889[/C][/ROW]
[ROW][C]0.63[/C][C]0.837659605546171[/C][C]0.00809344672417835[/C][/ROW]
[ROW][C]0.64[/C][C]0.839263984847546[/C][C]0.00840851529244271[/C][/ROW]
[ROW][C]0.65[/C][C]0.840953028523731[/C][C]0.00885484810960472[/C][/ROW]
[ROW][C]0.66[/C][C]0.842747443420361[/C][C]0.00941489201384251[/C][/ROW]
[ROW][C]0.67[/C][C]0.844662833302057[/C][C]0.0100518722975671[/C][/ROW]
[ROW][C]0.68[/C][C]0.846706676365105[/C][C]0.0107087130531096[/C][/ROW]
[ROW][C]0.69[/C][C]0.848875992955371[/C][C]0.0113180250371149[/C][/ROW]
[ROW][C]0.7[/C][C]0.851156416934655[/C][C]0.0118107842177912[/C][/ROW]
[ROW][C]0.71[/C][C]0.853523247140072[/C][C]0.0121273745427282[/C][/ROW]
[ROW][C]0.72[/C][C]0.85594472398364[/C][C]0.0122321515803503[/C][/ROW]
[ROW][C]0.73[/C][C]0.858387290909562[/C][C]0.0121203413479104[/C][/ROW]
[ROW][C]0.74[/C][C]0.860822057681668[/C][C]0.0118264321708196[/C][/ROW]
[ROW][C]0.75[/C][C]0.863231220652244[/C][C]0.0114208021254924[/C][/ROW]
[ROW][C]0.76[/C][C]0.865612963264922[/C][C]0.0110029046144921[/C][/ROW]
[ROW][C]0.77[/C][C]0.867983474222509[/C][C]0.010685028892748[/C][/ROW]
[ROW][C]0.78[/C][C]0.870375218854917[/C][C]0.0105631687481149[/C][/ROW]
[ROW][C]0.79[/C][C]0.872831408717279[/C][C]0.0106910235871336[/C][/ROW]
[ROW][C]0.8[/C][C]0.875397550510481[/C][C]0.0110573404869775[/C][/ROW]
[ROW][C]0.81[/C][C]0.878111760735968[/C][C]0.0115879552582775[/C][/ROW]
[ROW][C]0.82[/C][C]0.880995956228957[/C][C]0.0121688714823944[/C][/ROW]
[ROW][C]0.83[/C][C]0.884049922956404[/C][C]0.0126742244359542[/C][/ROW]
[ROW][C]0.84[/C][C]0.8872496442854[/C][C]0.0129939484402703[/C][/ROW]
[ROW][C]0.85[/C][C]0.890550316001681[/C][C]0.0130506925246408[/C][/ROW]
[ROW][C]0.86[/C][C]0.893893440844084[/C][C]0.0128099416777608[/C][/ROW]
[ROW][C]0.87[/C][C]0.897216479393404[/C][C]0.0122843820986253[/C][/ROW]
[ROW][C]0.88[/C][C]0.900462842609816[/C][C]0.0115261109111721[/C][/ROW]
[ROW][C]0.89[/C][C]0.903589703799263[/C][C]0.0106178999405464[/C][/ROW]
[ROW][C]0.9[/C][C]0.906571662081962[/C][C]0.00965202739301647[/C][/ROW]
[ROW][C]0.91[/C][C]0.909400503050361[/C][C]0.00870398416628355[/C][/ROW]
[ROW][C]0.92[/C][C]0.912085482680369[/C][C]0.00780880874538308[/C][/ROW]
[ROW][C]0.93[/C][C]0.914662843424751[/C][C]0.00697445053329598[/C][/ROW]
[ROW][C]0.94[/C][C]0.917222395507937[/C][C]0.00625799930580599[/C][/ROW]
[ROW][C]0.95[/C][C]0.919945932531084[/C][C]0.00588295587460661[/C][/ROW]
[ROW][C]0.96[/C][C]0.923122949891152[/C][C]0.00618576585717912[/C][/ROW]
[ROW][C]0.97[/C][C]0.927067094148416[/C][C]0.00717902346656872[/C][/ROW]
[ROW][C]0.98[/C][C]0.931827931966377[/C][C]0.00836569265403789[/C][/ROW]
[ROW][C]0.99[/C][C]0.936696120479169[/C][C]0.00929764952256009[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=177239&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=177239&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
0.010.6808704319794680.00256812954322925
0.020.6828546862319520.00516433523822421
0.030.6856653952125050.00646364566938098
0.040.6887695428731160.00663067850655202
0.050.691734104561730.00622874439617743
0.060.6943399961607340.00560001072084946
0.070.6965400379947440.00493893763377342
0.080.6983850422015020.00442975933614115
0.090.6999679864550740.0042059723065466
0.10.7013868715761740.00425472927688085
0.110.7027210367638960.00444357987664067
0.120.7040217266467810.00464285990272502
0.130.7053176154504630.00481201827699947
0.140.7066311054269960.00502667273111401
0.150.7079975579024890.00547012593398884
0.160.7094797121088660.00637571299769489
0.170.7111724144971740.0079269696381178
0.180.7131964255050840.0101917971177543
0.190.7156830941206990.0131227068273735
0.20.7187535827171090.0165748709818424
0.210.7224971188722460.0203187121829064
0.220.7269526418392440.0240612308796068
0.230.7320973745645310.0274796632142354
0.240.7378444510980510.0302682419980094
0.250.7440499900466820.0321770257654647
0.260.7505282488411230.0330523956194225
0.270.7570720853192740.0328486783620775
0.280.7634751903017290.0316318385579535
0.290.7695525667283940.0295580702391333
0.30.7751564383234570.0268482500100468
0.310.7801859247675970.0237537507985222
0.320.7845900965859560.0205227271516175
0.330.7883651265996530.017378296510305
0.340.7915469960269550.0144985712508286
0.350.7942015331432950.0120122247176007
0.360.79641351260930.00999826576727252
0.370.7982762404615650.0084913449514183
0.380.7998826244891740.00748412727067418
0.390.8013182918680060.00692974470575657
0.40.8026569366554240.00674678476885223
0.410.8039577920299310.00683539003983781
0.420.805264930898350.0070983218941032
0.430.8066079930763150.00745325835866097
0.440.8080039014689030.00783806112463053
0.450.8094591471587020.00820775312283275
0.460.810972279073210.00853265018179765
0.470.8125363139540340.00879382816876004
0.480.8141408730837410.00898310201885413
0.490.8157739407730750.00909826468926402
0.50.8174232152047610.00914316624053082
0.510.8190770779577150.00912376219957549
0.520.8207252425292830.00904956790872233
0.530.8223591574617860.00893138736218541
0.540.8239722424565360.00877971902236636
0.550.8255600325912460.00860562373478864
0.560.8271203001476440.0084217797690137
0.570.8286532146318180.0082399928483471
0.580.8301615839706290.00807341877877997
0.590.8316511867007590.00793846826605187
0.60.8331311525361020.00785119015926048
0.610.8346142813928970.00783307828727549
0.620.8361171240150360.0079068638706889
0.630.8376596055461710.00809344672417835
0.640.8392639848475460.00840851529244271
0.650.8409530285237310.00885484810960472
0.660.8427474434203610.00941489201384251
0.670.8446628333020570.0100518722975671
0.680.8467066763651050.0107087130531096
0.690.8488759929553710.0113180250371149
0.70.8511564169346550.0118107842177912
0.710.8535232471400720.0121273745427282
0.720.855944723983640.0122321515803503
0.730.8583872909095620.0121203413479104
0.740.8608220576816680.0118264321708196
0.750.8632312206522440.0114208021254924
0.760.8656129632649220.0110029046144921
0.770.8679834742225090.010685028892748
0.780.8703752188549170.0105631687481149
0.790.8728314087172790.0106910235871336
0.80.8753975505104810.0110573404869775
0.810.8781117607359680.0115879552582775
0.820.8809959562289570.0121688714823944
0.830.8840499229564040.0126742244359542
0.840.88724964428540.0129939484402703
0.850.8905503160016810.0130506925246408
0.860.8938934408440840.0128099416777608
0.870.8972164793934040.0122843820986253
0.880.9004628426098160.0115261109111721
0.890.9035897037992630.0106178999405464
0.90.9065716620819620.00965202739301647
0.910.9094005030503610.00870398416628355
0.920.9120854826803690.00780880874538308
0.930.9146628434247510.00697445053329598
0.940.9172223955079370.00625799930580599
0.950.9199459325310840.00588295587460661
0.960.9231229498911520.00618576585717912
0.970.9270670941484160.00717902346656872
0.980.9318279319663770.00836569265403789
0.990.9366961204791690.00929764952256009


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')