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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 computationThu, 06 Oct 2016 19:42:05 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/06/t1475779356y1u7pmzt6yfj219.htm/, Retrieved Sat, 04 May 2024 15:28:00 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 04 May 2024 15:28:00 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.336
1.3649
1.3999
1.4442
1.4349
1.4388
1.4264
1.4343
1.377
1.3706
1.3556
1.3179
1.2905
1.3224
1.3201
1.3162
1.2789
1.2526
1.2288
1.24
1.2856
1.2974
1.2828
1.3119
1.3288
1.3359
1.2964
1.3026
1.2982
1.3189
1.308
1.331
1.3348
1.3635
1.3493
1.3704
1.361
1.3658
1.3823
1.3812
1.3732
1.3592
1.3539
1.3316
1.2901
1.2673
1.2472
1.2331
1.1621
1.135
1.0838
1.0779
1.115
1.1213
1.0996
1.1139
1.1221
1.1235
1.0736
1.0877

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.074965872655730.0046783106894577
0.021.077353058914550.00583614236622608
0.031.080469920567060.00756179319607334
0.041.084103147205680.00953335890441353
0.051.088131449578950.0114446529965601
0.061.092460331996040.0130257880203237
0.071.096987247586260.0141348646879054
0.081.101613445371690.0148444459930065
0.091.106278355429960.0154445203520445
0.11.110989789906420.0163777684589885
0.111.115834198144150.0180875582442685
0.121.120963334304940.0208368840425473
0.131.12656249832460.0246269540036028
0.141.13280996347230.0292154256119263
0.151.139837881650060.0342049322928069
0.161.147703068394980.0391292558317972
0.171.156372806645860.0435183822615229
0.181.165727106191060.0469707896059285
0.191.175575428497750.0492097235791903
0.21.185683303281240.0501129574786985
0.211.195802924845720.0497169072579273
0.221.20570186557260.0481910143948752
0.231.21518530673170.0457974526878232
0.241.224109214617060.0428343201847638
0.251.232384099904850.0395895257112852
0.261.239970849920230.0363012979990845
0.271.246871263319510.0331455599528302
0.281.253116240187210.030219670804701
0.291.258754208944490.0275605923201065
0.31.263841566903420.0251673935125513
0.311.268435972431030.0230164077400333
0.321.272592501500320.0210774738354309
0.331.276362118415660.0193349535936847
0.341.279791651235150.017775385313182
0.351.282924464638170.0163977674060292
0.361.285801198324220.0152055847103707
0.371.288460189812730.0142032335739818
0.381.290937446170290.0133836519591299
0.391.293266218842350.0127419566241429
0.41.295476348822450.0122571637745362
0.411.297593588597680.0119014712937913
0.421.299639089065220.0116461844780632
0.431.301629185218830.0114590965416607
0.441.303575544072250.0113098474527727
0.451.305485668192540.0111750490073957
0.461.307363689764740.0110347505763428
0.471.30921135032560.0108817912377047
0.481.311029043442650.0107122521661798
0.491.312816801551360.010528799798477
0.51.314575130603570.0103424887785752
0.511.316305631028120.0101620603538622
0.521.318011382681880.0100020171508036
0.531.319697106371030.00987251814764679
0.541.321369137879190.00978064403058677
0.551.32303525817570.00974050847576521
0.561.324704415951590.00975319993745987
0.571.32638636078490.00982221917861245
0.581.328091185408520.00995065435750883
0.591.329828763155480.0101358026031311
0.61.331608069258490.0103732628855209
0.611.333436395354670.0106506630089099
0.621.335318502304890.0109526118220923
0.631.337255798401860.0112537266358437
0.641.339245665470030.0115289896932274
0.651.341281071132310.0117453088891155
0.661.343350592124910.0118766238671501
0.671.345438928424480.0118971309143849
0.681.347527917087240.011791796097655
0.691.349597971800440.0115568979158475
0.71.351629797575930.0111990193147833
0.711.353606178204180.0107353576010706
0.721.355513620783240.0101940838342554
0.731.357343672392490.00960951142705098
0.741.359093794886020.00901785525587301
0.751.360767782700380.00845554781512803
0.761.362375818177240.0079582130106105
0.771.363934360022210.0075527651225938
0.781.36546613398340.00726401965023912
0.791.367000520469460.00711293258511253
0.81.368574586851890.00712375452409707
0.811.370234859872770.00732528431445098
0.821.372039638321270.00775810816793424
0.831.374061183322770.00847302205420366
0.841.376386520152910.00952891513759232
0.851.379114975442410.0109701942246498
0.861.382350246833420.0128014053679359
0.871.386185198643940.0149523674752242
0.881.390679165658130.0172532539055238
0.891.395830548759490.0194187316043893
0.91.401551485318430.0210712128825706
0.911.407655002795750.021809926433342
0.921.413866049515270.0213160451745107
0.931.419863704546950.0194840087754097
0.941.425351413231030.0165118921536035
0.951.430136411019150.0129123610617265
0.961.434182668552320.00940079677164537
0.971.437591692449660.00670461596383
0.981.440479317396360.00530795537021058
0.991.44278598364140.00508175451242578

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.07496587265573 & 0.0046783106894577 \tabularnewline
0.02 & 1.07735305891455 & 0.00583614236622608 \tabularnewline
0.03 & 1.08046992056706 & 0.00756179319607334 \tabularnewline
0.04 & 1.08410314720568 & 0.00953335890441353 \tabularnewline
0.05 & 1.08813144957895 & 0.0114446529965601 \tabularnewline
0.06 & 1.09246033199604 & 0.0130257880203237 \tabularnewline
0.07 & 1.09698724758626 & 0.0141348646879054 \tabularnewline
0.08 & 1.10161344537169 & 0.0148444459930065 \tabularnewline
0.09 & 1.10627835542996 & 0.0154445203520445 \tabularnewline
0.1 & 1.11098978990642 & 0.0163777684589885 \tabularnewline
0.11 & 1.11583419814415 & 0.0180875582442685 \tabularnewline
0.12 & 1.12096333430494 & 0.0208368840425473 \tabularnewline
0.13 & 1.1265624983246 & 0.0246269540036028 \tabularnewline
0.14 & 1.1328099634723 & 0.0292154256119263 \tabularnewline
0.15 & 1.13983788165006 & 0.0342049322928069 \tabularnewline
0.16 & 1.14770306839498 & 0.0391292558317972 \tabularnewline
0.17 & 1.15637280664586 & 0.0435183822615229 \tabularnewline
0.18 & 1.16572710619106 & 0.0469707896059285 \tabularnewline
0.19 & 1.17557542849775 & 0.0492097235791903 \tabularnewline
0.2 & 1.18568330328124 & 0.0501129574786985 \tabularnewline
0.21 & 1.19580292484572 & 0.0497169072579273 \tabularnewline
0.22 & 1.2057018655726 & 0.0481910143948752 \tabularnewline
0.23 & 1.2151853067317 & 0.0457974526878232 \tabularnewline
0.24 & 1.22410921461706 & 0.0428343201847638 \tabularnewline
0.25 & 1.23238409990485 & 0.0395895257112852 \tabularnewline
0.26 & 1.23997084992023 & 0.0363012979990845 \tabularnewline
0.27 & 1.24687126331951 & 0.0331455599528302 \tabularnewline
0.28 & 1.25311624018721 & 0.030219670804701 \tabularnewline
0.29 & 1.25875420894449 & 0.0275605923201065 \tabularnewline
0.3 & 1.26384156690342 & 0.0251673935125513 \tabularnewline
0.31 & 1.26843597243103 & 0.0230164077400333 \tabularnewline
0.32 & 1.27259250150032 & 0.0210774738354309 \tabularnewline
0.33 & 1.27636211841566 & 0.0193349535936847 \tabularnewline
0.34 & 1.27979165123515 & 0.017775385313182 \tabularnewline
0.35 & 1.28292446463817 & 0.0163977674060292 \tabularnewline
0.36 & 1.28580119832422 & 0.0152055847103707 \tabularnewline
0.37 & 1.28846018981273 & 0.0142032335739818 \tabularnewline
0.38 & 1.29093744617029 & 0.0133836519591299 \tabularnewline
0.39 & 1.29326621884235 & 0.0127419566241429 \tabularnewline
0.4 & 1.29547634882245 & 0.0122571637745362 \tabularnewline
0.41 & 1.29759358859768 & 0.0119014712937913 \tabularnewline
0.42 & 1.29963908906522 & 0.0116461844780632 \tabularnewline
0.43 & 1.30162918521883 & 0.0114590965416607 \tabularnewline
0.44 & 1.30357554407225 & 0.0113098474527727 \tabularnewline
0.45 & 1.30548566819254 & 0.0111750490073957 \tabularnewline
0.46 & 1.30736368976474 & 0.0110347505763428 \tabularnewline
0.47 & 1.3092113503256 & 0.0108817912377047 \tabularnewline
0.48 & 1.31102904344265 & 0.0107122521661798 \tabularnewline
0.49 & 1.31281680155136 & 0.010528799798477 \tabularnewline
0.5 & 1.31457513060357 & 0.0103424887785752 \tabularnewline
0.51 & 1.31630563102812 & 0.0101620603538622 \tabularnewline
0.52 & 1.31801138268188 & 0.0100020171508036 \tabularnewline
0.53 & 1.31969710637103 & 0.00987251814764679 \tabularnewline
0.54 & 1.32136913787919 & 0.00978064403058677 \tabularnewline
0.55 & 1.3230352581757 & 0.00974050847576521 \tabularnewline
0.56 & 1.32470441595159 & 0.00975319993745987 \tabularnewline
0.57 & 1.3263863607849 & 0.00982221917861245 \tabularnewline
0.58 & 1.32809118540852 & 0.00995065435750883 \tabularnewline
0.59 & 1.32982876315548 & 0.0101358026031311 \tabularnewline
0.6 & 1.33160806925849 & 0.0103732628855209 \tabularnewline
0.61 & 1.33343639535467 & 0.0106506630089099 \tabularnewline
0.62 & 1.33531850230489 & 0.0109526118220923 \tabularnewline
0.63 & 1.33725579840186 & 0.0112537266358437 \tabularnewline
0.64 & 1.33924566547003 & 0.0115289896932274 \tabularnewline
0.65 & 1.34128107113231 & 0.0117453088891155 \tabularnewline
0.66 & 1.34335059212491 & 0.0118766238671501 \tabularnewline
0.67 & 1.34543892842448 & 0.0118971309143849 \tabularnewline
0.68 & 1.34752791708724 & 0.011791796097655 \tabularnewline
0.69 & 1.34959797180044 & 0.0115568979158475 \tabularnewline
0.7 & 1.35162979757593 & 0.0111990193147833 \tabularnewline
0.71 & 1.35360617820418 & 0.0107353576010706 \tabularnewline
0.72 & 1.35551362078324 & 0.0101940838342554 \tabularnewline
0.73 & 1.35734367239249 & 0.00960951142705098 \tabularnewline
0.74 & 1.35909379488602 & 0.00901785525587301 \tabularnewline
0.75 & 1.36076778270038 & 0.00845554781512803 \tabularnewline
0.76 & 1.36237581817724 & 0.0079582130106105 \tabularnewline
0.77 & 1.36393436002221 & 0.0075527651225938 \tabularnewline
0.78 & 1.3654661339834 & 0.00726401965023912 \tabularnewline
0.79 & 1.36700052046946 & 0.00711293258511253 \tabularnewline
0.8 & 1.36857458685189 & 0.00712375452409707 \tabularnewline
0.81 & 1.37023485987277 & 0.00732528431445098 \tabularnewline
0.82 & 1.37203963832127 & 0.00775810816793424 \tabularnewline
0.83 & 1.37406118332277 & 0.00847302205420366 \tabularnewline
0.84 & 1.37638652015291 & 0.00952891513759232 \tabularnewline
0.85 & 1.37911497544241 & 0.0109701942246498 \tabularnewline
0.86 & 1.38235024683342 & 0.0128014053679359 \tabularnewline
0.87 & 1.38618519864394 & 0.0149523674752242 \tabularnewline
0.88 & 1.39067916565813 & 0.0172532539055238 \tabularnewline
0.89 & 1.39583054875949 & 0.0194187316043893 \tabularnewline
0.9 & 1.40155148531843 & 0.0210712128825706 \tabularnewline
0.91 & 1.40765500279575 & 0.021809926433342 \tabularnewline
0.92 & 1.41386604951527 & 0.0213160451745107 \tabularnewline
0.93 & 1.41986370454695 & 0.0194840087754097 \tabularnewline
0.94 & 1.42535141323103 & 0.0165118921536035 \tabularnewline
0.95 & 1.43013641101915 & 0.0129123610617265 \tabularnewline
0.96 & 1.43418266855232 & 0.00940079677164537 \tabularnewline
0.97 & 1.43759169244966 & 0.00670461596383 \tabularnewline
0.98 & 1.44047931739636 & 0.00530795537021058 \tabularnewline
0.99 & 1.4427859836414 & 0.00508175451242578 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]1.07496587265573[/C][C]0.0046783106894577[/C][/ROW]
[ROW][C]0.02[/C][C]1.07735305891455[/C][C]0.00583614236622608[/C][/ROW]
[ROW][C]0.03[/C][C]1.08046992056706[/C][C]0.00756179319607334[/C][/ROW]
[ROW][C]0.04[/C][C]1.08410314720568[/C][C]0.00953335890441353[/C][/ROW]
[ROW][C]0.05[/C][C]1.08813144957895[/C][C]0.0114446529965601[/C][/ROW]
[ROW][C]0.06[/C][C]1.09246033199604[/C][C]0.0130257880203237[/C][/ROW]
[ROW][C]0.07[/C][C]1.09698724758626[/C][C]0.0141348646879054[/C][/ROW]
[ROW][C]0.08[/C][C]1.10161344537169[/C][C]0.0148444459930065[/C][/ROW]
[ROW][C]0.09[/C][C]1.10627835542996[/C][C]0.0154445203520445[/C][/ROW]
[ROW][C]0.1[/C][C]1.11098978990642[/C][C]0.0163777684589885[/C][/ROW]
[ROW][C]0.11[/C][C]1.11583419814415[/C][C]0.0180875582442685[/C][/ROW]
[ROW][C]0.12[/C][C]1.12096333430494[/C][C]0.0208368840425473[/C][/ROW]
[ROW][C]0.13[/C][C]1.1265624983246[/C][C]0.0246269540036028[/C][/ROW]
[ROW][C]0.14[/C][C]1.1328099634723[/C][C]0.0292154256119263[/C][/ROW]
[ROW][C]0.15[/C][C]1.13983788165006[/C][C]0.0342049322928069[/C][/ROW]
[ROW][C]0.16[/C][C]1.14770306839498[/C][C]0.0391292558317972[/C][/ROW]
[ROW][C]0.17[/C][C]1.15637280664586[/C][C]0.0435183822615229[/C][/ROW]
[ROW][C]0.18[/C][C]1.16572710619106[/C][C]0.0469707896059285[/C][/ROW]
[ROW][C]0.19[/C][C]1.17557542849775[/C][C]0.0492097235791903[/C][/ROW]
[ROW][C]0.2[/C][C]1.18568330328124[/C][C]0.0501129574786985[/C][/ROW]
[ROW][C]0.21[/C][C]1.19580292484572[/C][C]0.0497169072579273[/C][/ROW]
[ROW][C]0.22[/C][C]1.2057018655726[/C][C]0.0481910143948752[/C][/ROW]
[ROW][C]0.23[/C][C]1.2151853067317[/C][C]0.0457974526878232[/C][/ROW]
[ROW][C]0.24[/C][C]1.22410921461706[/C][C]0.0428343201847638[/C][/ROW]
[ROW][C]0.25[/C][C]1.23238409990485[/C][C]0.0395895257112852[/C][/ROW]
[ROW][C]0.26[/C][C]1.23997084992023[/C][C]0.0363012979990845[/C][/ROW]
[ROW][C]0.27[/C][C]1.24687126331951[/C][C]0.0331455599528302[/C][/ROW]
[ROW][C]0.28[/C][C]1.25311624018721[/C][C]0.030219670804701[/C][/ROW]
[ROW][C]0.29[/C][C]1.25875420894449[/C][C]0.0275605923201065[/C][/ROW]
[ROW][C]0.3[/C][C]1.26384156690342[/C][C]0.0251673935125513[/C][/ROW]
[ROW][C]0.31[/C][C]1.26843597243103[/C][C]0.0230164077400333[/C][/ROW]
[ROW][C]0.32[/C][C]1.27259250150032[/C][C]0.0210774738354309[/C][/ROW]
[ROW][C]0.33[/C][C]1.27636211841566[/C][C]0.0193349535936847[/C][/ROW]
[ROW][C]0.34[/C][C]1.27979165123515[/C][C]0.017775385313182[/C][/ROW]
[ROW][C]0.35[/C][C]1.28292446463817[/C][C]0.0163977674060292[/C][/ROW]
[ROW][C]0.36[/C][C]1.28580119832422[/C][C]0.0152055847103707[/C][/ROW]
[ROW][C]0.37[/C][C]1.28846018981273[/C][C]0.0142032335739818[/C][/ROW]
[ROW][C]0.38[/C][C]1.29093744617029[/C][C]0.0133836519591299[/C][/ROW]
[ROW][C]0.39[/C][C]1.29326621884235[/C][C]0.0127419566241429[/C][/ROW]
[ROW][C]0.4[/C][C]1.29547634882245[/C][C]0.0122571637745362[/C][/ROW]
[ROW][C]0.41[/C][C]1.29759358859768[/C][C]0.0119014712937913[/C][/ROW]
[ROW][C]0.42[/C][C]1.29963908906522[/C][C]0.0116461844780632[/C][/ROW]
[ROW][C]0.43[/C][C]1.30162918521883[/C][C]0.0114590965416607[/C][/ROW]
[ROW][C]0.44[/C][C]1.30357554407225[/C][C]0.0113098474527727[/C][/ROW]
[ROW][C]0.45[/C][C]1.30548566819254[/C][C]0.0111750490073957[/C][/ROW]
[ROW][C]0.46[/C][C]1.30736368976474[/C][C]0.0110347505763428[/C][/ROW]
[ROW][C]0.47[/C][C]1.3092113503256[/C][C]0.0108817912377047[/C][/ROW]
[ROW][C]0.48[/C][C]1.31102904344265[/C][C]0.0107122521661798[/C][/ROW]
[ROW][C]0.49[/C][C]1.31281680155136[/C][C]0.010528799798477[/C][/ROW]
[ROW][C]0.5[/C][C]1.31457513060357[/C][C]0.0103424887785752[/C][/ROW]
[ROW][C]0.51[/C][C]1.31630563102812[/C][C]0.0101620603538622[/C][/ROW]
[ROW][C]0.52[/C][C]1.31801138268188[/C][C]0.0100020171508036[/C][/ROW]
[ROW][C]0.53[/C][C]1.31969710637103[/C][C]0.00987251814764679[/C][/ROW]
[ROW][C]0.54[/C][C]1.32136913787919[/C][C]0.00978064403058677[/C][/ROW]
[ROW][C]0.55[/C][C]1.3230352581757[/C][C]0.00974050847576521[/C][/ROW]
[ROW][C]0.56[/C][C]1.32470441595159[/C][C]0.00975319993745987[/C][/ROW]
[ROW][C]0.57[/C][C]1.3263863607849[/C][C]0.00982221917861245[/C][/ROW]
[ROW][C]0.58[/C][C]1.32809118540852[/C][C]0.00995065435750883[/C][/ROW]
[ROW][C]0.59[/C][C]1.32982876315548[/C][C]0.0101358026031311[/C][/ROW]
[ROW][C]0.6[/C][C]1.33160806925849[/C][C]0.0103732628855209[/C][/ROW]
[ROW][C]0.61[/C][C]1.33343639535467[/C][C]0.0106506630089099[/C][/ROW]
[ROW][C]0.62[/C][C]1.33531850230489[/C][C]0.0109526118220923[/C][/ROW]
[ROW][C]0.63[/C][C]1.33725579840186[/C][C]0.0112537266358437[/C][/ROW]
[ROW][C]0.64[/C][C]1.33924566547003[/C][C]0.0115289896932274[/C][/ROW]
[ROW][C]0.65[/C][C]1.34128107113231[/C][C]0.0117453088891155[/C][/ROW]
[ROW][C]0.66[/C][C]1.34335059212491[/C][C]0.0118766238671501[/C][/ROW]
[ROW][C]0.67[/C][C]1.34543892842448[/C][C]0.0118971309143849[/C][/ROW]
[ROW][C]0.68[/C][C]1.34752791708724[/C][C]0.011791796097655[/C][/ROW]
[ROW][C]0.69[/C][C]1.34959797180044[/C][C]0.0115568979158475[/C][/ROW]
[ROW][C]0.7[/C][C]1.35162979757593[/C][C]0.0111990193147833[/C][/ROW]
[ROW][C]0.71[/C][C]1.35360617820418[/C][C]0.0107353576010706[/C][/ROW]
[ROW][C]0.72[/C][C]1.35551362078324[/C][C]0.0101940838342554[/C][/ROW]
[ROW][C]0.73[/C][C]1.35734367239249[/C][C]0.00960951142705098[/C][/ROW]
[ROW][C]0.74[/C][C]1.35909379488602[/C][C]0.00901785525587301[/C][/ROW]
[ROW][C]0.75[/C][C]1.36076778270038[/C][C]0.00845554781512803[/C][/ROW]
[ROW][C]0.76[/C][C]1.36237581817724[/C][C]0.0079582130106105[/C][/ROW]
[ROW][C]0.77[/C][C]1.36393436002221[/C][C]0.0075527651225938[/C][/ROW]
[ROW][C]0.78[/C][C]1.3654661339834[/C][C]0.00726401965023912[/C][/ROW]
[ROW][C]0.79[/C][C]1.36700052046946[/C][C]0.00711293258511253[/C][/ROW]
[ROW][C]0.8[/C][C]1.36857458685189[/C][C]0.00712375452409707[/C][/ROW]
[ROW][C]0.81[/C][C]1.37023485987277[/C][C]0.00732528431445098[/C][/ROW]
[ROW][C]0.82[/C][C]1.37203963832127[/C][C]0.00775810816793424[/C][/ROW]
[ROW][C]0.83[/C][C]1.37406118332277[/C][C]0.00847302205420366[/C][/ROW]
[ROW][C]0.84[/C][C]1.37638652015291[/C][C]0.00952891513759232[/C][/ROW]
[ROW][C]0.85[/C][C]1.37911497544241[/C][C]0.0109701942246498[/C][/ROW]
[ROW][C]0.86[/C][C]1.38235024683342[/C][C]0.0128014053679359[/C][/ROW]
[ROW][C]0.87[/C][C]1.38618519864394[/C][C]0.0149523674752242[/C][/ROW]
[ROW][C]0.88[/C][C]1.39067916565813[/C][C]0.0172532539055238[/C][/ROW]
[ROW][C]0.89[/C][C]1.39583054875949[/C][C]0.0194187316043893[/C][/ROW]
[ROW][C]0.9[/C][C]1.40155148531843[/C][C]0.0210712128825706[/C][/ROW]
[ROW][C]0.91[/C][C]1.40765500279575[/C][C]0.021809926433342[/C][/ROW]
[ROW][C]0.92[/C][C]1.41386604951527[/C][C]0.0213160451745107[/C][/ROW]
[ROW][C]0.93[/C][C]1.41986370454695[/C][C]0.0194840087754097[/C][/ROW]
[ROW][C]0.94[/C][C]1.42535141323103[/C][C]0.0165118921536035[/C][/ROW]
[ROW][C]0.95[/C][C]1.43013641101915[/C][C]0.0129123610617265[/C][/ROW]
[ROW][C]0.96[/C][C]1.43418266855232[/C][C]0.00940079677164537[/C][/ROW]
[ROW][C]0.97[/C][C]1.43759169244966[/C][C]0.00670461596383[/C][/ROW]
[ROW][C]0.98[/C][C]1.44047931739636[/C][C]0.00530795537021058[/C][/ROW]
[ROW][C]0.99[/C][C]1.4427859836414[/C][C]0.00508175451242578[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.011.074965872655730.0046783106894577
0.021.077353058914550.00583614236622608
0.031.080469920567060.00756179319607334
0.041.084103147205680.00953335890441353
0.051.088131449578950.0114446529965601
0.061.092460331996040.0130257880203237
0.071.096987247586260.0141348646879054
0.081.101613445371690.0148444459930065
0.091.106278355429960.0154445203520445
0.11.110989789906420.0163777684589885
0.111.115834198144150.0180875582442685
0.121.120963334304940.0208368840425473
0.131.12656249832460.0246269540036028
0.141.13280996347230.0292154256119263
0.151.139837881650060.0342049322928069
0.161.147703068394980.0391292558317972
0.171.156372806645860.0435183822615229
0.181.165727106191060.0469707896059285
0.191.175575428497750.0492097235791903
0.21.185683303281240.0501129574786985
0.211.195802924845720.0497169072579273
0.221.20570186557260.0481910143948752
0.231.21518530673170.0457974526878232
0.241.224109214617060.0428343201847638
0.251.232384099904850.0395895257112852
0.261.239970849920230.0363012979990845
0.271.246871263319510.0331455599528302
0.281.253116240187210.030219670804701
0.291.258754208944490.0275605923201065
0.31.263841566903420.0251673935125513
0.311.268435972431030.0230164077400333
0.321.272592501500320.0210774738354309
0.331.276362118415660.0193349535936847
0.341.279791651235150.017775385313182
0.351.282924464638170.0163977674060292
0.361.285801198324220.0152055847103707
0.371.288460189812730.0142032335739818
0.381.290937446170290.0133836519591299
0.391.293266218842350.0127419566241429
0.41.295476348822450.0122571637745362
0.411.297593588597680.0119014712937913
0.421.299639089065220.0116461844780632
0.431.301629185218830.0114590965416607
0.441.303575544072250.0113098474527727
0.451.305485668192540.0111750490073957
0.461.307363689764740.0110347505763428
0.471.30921135032560.0108817912377047
0.481.311029043442650.0107122521661798
0.491.312816801551360.010528799798477
0.51.314575130603570.0103424887785752
0.511.316305631028120.0101620603538622
0.521.318011382681880.0100020171508036
0.531.319697106371030.00987251814764679
0.541.321369137879190.00978064403058677
0.551.32303525817570.00974050847576521
0.561.324704415951590.00975319993745987
0.571.32638636078490.00982221917861245
0.581.328091185408520.00995065435750883
0.591.329828763155480.0101358026031311
0.61.331608069258490.0103732628855209
0.611.333436395354670.0106506630089099
0.621.335318502304890.0109526118220923
0.631.337255798401860.0112537266358437
0.641.339245665470030.0115289896932274
0.651.341281071132310.0117453088891155
0.661.343350592124910.0118766238671501
0.671.345438928424480.0118971309143849
0.681.347527917087240.011791796097655
0.691.349597971800440.0115568979158475
0.71.351629797575930.0111990193147833
0.711.353606178204180.0107353576010706
0.721.355513620783240.0101940838342554
0.731.357343672392490.00960951142705098
0.741.359093794886020.00901785525587301
0.751.360767782700380.00845554781512803
0.761.362375818177240.0079582130106105
0.771.363934360022210.0075527651225938
0.781.36546613398340.00726401965023912
0.791.367000520469460.00711293258511253
0.81.368574586851890.00712375452409707
0.811.370234859872770.00732528431445098
0.821.372039638321270.00775810816793424
0.831.374061183322770.00847302205420366
0.841.376386520152910.00952891513759232
0.851.379114975442410.0109701942246498
0.861.382350246833420.0128014053679359
0.871.386185198643940.0149523674752242
0.881.390679165658130.0172532539055238
0.891.395830548759490.0194187316043893
0.91.401551485318430.0210712128825706
0.911.407655002795750.021809926433342
0.921.413866049515270.0213160451745107
0.931.419863704546950.0194840087754097
0.941.425351413231030.0165118921536035
0.951.430136411019150.0129123610617265
0.961.434182668552320.00940079677164537
0.971.437591692449660.00670461596383
0.981.440479317396360.00530795537021058
0.991.44278598364140.00508175451242578


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')