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 computationSun, 13 Jan 2013 13:05:18 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Jan/13/t13581003693fszoqqusi0mwrr.htm/, Retrieved Fri, 03 May 2024 22:34:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=205292, Retrieved Fri, 03 May 2024 22:34:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact103

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 gem ...] [2013-01-13 18:05:18] [4f05f4cbed182ac02528036e9f4f762f] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4.69
4.69
4.69
4.69
4.69
4.69
4.69
4.73
4.78
4.79
4.79
4.8
4.8
4.81
5.16
5.26
5.29
5.29
5.29
5.3
5.3
5.3
5.3
5.3
5.3
5.3
5.3
5.35
5.44
5.47
5.47
5.48
5.48
5.48
5.48
5.48
5.48
5.48
5.5
5.55
5.55
5.57
5.58
5.58
5.58
5.59
5.59
5.59
5.61
5.61
5.61
5.63
5.69
5.7
5.7
5.7
5.7
5.7
5.7
5.7
5.7
5.7
5.7
5.71
5.74
5.77
5.79
5.79
5.8
5.8
5.8
5.8

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=205292&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=205292&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205292&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
0.014.690016033831757.75224176526744e-05
0.024.690114282965640.000480962018903962
0.034.690466754847890.00168883625469049
0.044.691396139364120.00431558716250748
0.054.693371321689370.00886437896039954
0.064.696932666763750.0154281827430729
0.074.702569272949310.023591506173312
0.084.710607663098220.0326029310853682
0.094.72117434956050.0418095597034675
0.14.734258286570320.0511030780872359
0.114.749844976573460.0611700164740854
0.124.768053772667690.0732810931791333
0.134.789205079226510.0886164904424301
0.144.813774967503910.107521665576334
0.154.842243810980040.129141377084048
0.164.874889604843750.151520726412894
0.174.911598077191750.172067369960515
0.184.95175483334180.188105730368376
0.194.9942556093540.197450291977446
0.25.037632377462850.198854176911851
0.215.08025969514230.192220477733614
0.225.12058734936310.178530399927909
0.235.157345270205270.15959174706848
0.245.189681577152110.137649672037148
0.255.217217088087170.114964714159589
0.265.240021537673990.0935234296040097
0.275.258532102117560.0748371918737981
0.285.273441134994830.0599284983858025
0.295.285578192296440.0493605111729953
0.35.295804497373440.0433202346512682
0.315.30492952469730.0415191098519744
0.325.313652165026910.0431500475107157
0.335.32252439693250.0471106972660082
0.345.331933609585540.052355095932105
0.355.342099886862230.0579478992822519
0.365.353085550711420.0631337316443527
0.375.364815120175190.0672916474314138
0.385.377104053179520.06996278873882
0.395.389694156242440.0708993511972554
0.45.402292676412430.0700380876383592
0.415.41461128212690.0675373888701848
0.425.42640080035330.0637085683821909
0.435.437477930910230.0590008486866674
0.445.447741201441160.053928073578151
0.455.457174957435220.04900047990217
0.465.465841886675820.0446975328093169
0.475.473866127483790.0413580056901371
0.485.481410143395070.0391882323016254
0.495.488649115543060.0381872951435274
0.55.4957465815180.0381727578945827
0.515.502834509450220.0388408220274395
0.525.510000077193610.0398230559652532
0.535.517280297621130.0407831325841606
0.545.524664463845740.0414400123806404
0.555.532103338073940.0415999065405259
0.565.539523200142590.0411877685652496
0.575.546842390267690.0402044311158724
0.585.553987857743420.0387626510687522
0.595.560909440727850.0370341703238448
0.65.567590079690740.0352595624810779
0.615.574050804021370.0336758807164924
0.625.580350016996860.0325331809806735
0.635.586577249753630.0320075692501112
0.645.592842111869280.032211566299408
0.655.599259629141060.0331421152601035
0.665.605933547318220.0346699074560361
0.675.612939505944380.0365794592680849
0.685.620310222489010.0385816110245851
0.695.628024894647780.0403494703460353
0.75.636004814005840.0415568484947015
0.715.644116587119340.0419303002606765
0.725.652183360160230.0412759353803666
0.735.660003153709930.0395109009146808
0.745.667372091774180.0366796591860053
0.755.674109301038770.032966932000244
0.765.680079890639650.0286401572866107
0.775.685212873829740.0240472911241656
0.785.689512077849050.0195549209412602
0.795.693059643187140.0155140661561334
0.85.696013079702940.0122519522538248
0.815.698597457748660.0100885824425716
0.825.701093831488890.00936115719634906
0.835.703823532095310.0102689110700856
0.845.707126202278980.0126985767417513
0.855.711328515023240.0163348687186156
0.865.71670169445130.0207703883670456
0.875.723410001163520.0254820495698362
0.885.731458762828370.0298022513594428
0.895.740657025866160.0329790200706157
0.95.750612627707310.0343343734905375
0.915.760772614584730.0334607305104042
0.925.770508425126220.0303563861878545
0.935.779227423640190.0254807585144117
0.945.786479457762520.0196271737141551
0.955.792028076934170.0137019560475423
0.965.795871408005290.00847532759454404
0.975.798216256478310.00443898394640639
0.985.799416910551930.00178909370363439
0.995.799887415004340.00043152414226485

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4.69001603383175 & 7.75224176526744e-05 \tabularnewline
0.02 & 4.69011428296564 & 0.000480962018903962 \tabularnewline
0.03 & 4.69046675484789 & 0.00168883625469049 \tabularnewline
0.04 & 4.69139613936412 & 0.00431558716250748 \tabularnewline
0.05 & 4.69337132168937 & 0.00886437896039954 \tabularnewline
0.06 & 4.69693266676375 & 0.0154281827430729 \tabularnewline
0.07 & 4.70256927294931 & 0.023591506173312 \tabularnewline
0.08 & 4.71060766309822 & 0.0326029310853682 \tabularnewline
0.09 & 4.7211743495605 & 0.0418095597034675 \tabularnewline
0.1 & 4.73425828657032 & 0.0511030780872359 \tabularnewline
0.11 & 4.74984497657346 & 0.0611700164740854 \tabularnewline
0.12 & 4.76805377266769 & 0.0732810931791333 \tabularnewline
0.13 & 4.78920507922651 & 0.0886164904424301 \tabularnewline
0.14 & 4.81377496750391 & 0.107521665576334 \tabularnewline
0.15 & 4.84224381098004 & 0.129141377084048 \tabularnewline
0.16 & 4.87488960484375 & 0.151520726412894 \tabularnewline
0.17 & 4.91159807719175 & 0.172067369960515 \tabularnewline
0.18 & 4.9517548333418 & 0.188105730368376 \tabularnewline
0.19 & 4.994255609354 & 0.197450291977446 \tabularnewline
0.2 & 5.03763237746285 & 0.198854176911851 \tabularnewline
0.21 & 5.0802596951423 & 0.192220477733614 \tabularnewline
0.22 & 5.1205873493631 & 0.178530399927909 \tabularnewline
0.23 & 5.15734527020527 & 0.15959174706848 \tabularnewline
0.24 & 5.18968157715211 & 0.137649672037148 \tabularnewline
0.25 & 5.21721708808717 & 0.114964714159589 \tabularnewline
0.26 & 5.24002153767399 & 0.0935234296040097 \tabularnewline
0.27 & 5.25853210211756 & 0.0748371918737981 \tabularnewline
0.28 & 5.27344113499483 & 0.0599284983858025 \tabularnewline
0.29 & 5.28557819229644 & 0.0493605111729953 \tabularnewline
0.3 & 5.29580449737344 & 0.0433202346512682 \tabularnewline
0.31 & 5.3049295246973 & 0.0415191098519744 \tabularnewline
0.32 & 5.31365216502691 & 0.0431500475107157 \tabularnewline
0.33 & 5.3225243969325 & 0.0471106972660082 \tabularnewline
0.34 & 5.33193360958554 & 0.052355095932105 \tabularnewline
0.35 & 5.34209988686223 & 0.0579478992822519 \tabularnewline
0.36 & 5.35308555071142 & 0.0631337316443527 \tabularnewline
0.37 & 5.36481512017519 & 0.0672916474314138 \tabularnewline
0.38 & 5.37710405317952 & 0.06996278873882 \tabularnewline
0.39 & 5.38969415624244 & 0.0708993511972554 \tabularnewline
0.4 & 5.40229267641243 & 0.0700380876383592 \tabularnewline
0.41 & 5.4146112821269 & 0.0675373888701848 \tabularnewline
0.42 & 5.4264008003533 & 0.0637085683821909 \tabularnewline
0.43 & 5.43747793091023 & 0.0590008486866674 \tabularnewline
0.44 & 5.44774120144116 & 0.053928073578151 \tabularnewline
0.45 & 5.45717495743522 & 0.04900047990217 \tabularnewline
0.46 & 5.46584188667582 & 0.0446975328093169 \tabularnewline
0.47 & 5.47386612748379 & 0.0413580056901371 \tabularnewline
0.48 & 5.48141014339507 & 0.0391882323016254 \tabularnewline
0.49 & 5.48864911554306 & 0.0381872951435274 \tabularnewline
0.5 & 5.495746581518 & 0.0381727578945827 \tabularnewline
0.51 & 5.50283450945022 & 0.0388408220274395 \tabularnewline
0.52 & 5.51000007719361 & 0.0398230559652532 \tabularnewline
0.53 & 5.51728029762113 & 0.0407831325841606 \tabularnewline
0.54 & 5.52466446384574 & 0.0414400123806404 \tabularnewline
0.55 & 5.53210333807394 & 0.0415999065405259 \tabularnewline
0.56 & 5.53952320014259 & 0.0411877685652496 \tabularnewline
0.57 & 5.54684239026769 & 0.0402044311158724 \tabularnewline
0.58 & 5.55398785774342 & 0.0387626510687522 \tabularnewline
0.59 & 5.56090944072785 & 0.0370341703238448 \tabularnewline
0.6 & 5.56759007969074 & 0.0352595624810779 \tabularnewline
0.61 & 5.57405080402137 & 0.0336758807164924 \tabularnewline
0.62 & 5.58035001699686 & 0.0325331809806735 \tabularnewline
0.63 & 5.58657724975363 & 0.0320075692501112 \tabularnewline
0.64 & 5.59284211186928 & 0.032211566299408 \tabularnewline
0.65 & 5.59925962914106 & 0.0331421152601035 \tabularnewline
0.66 & 5.60593354731822 & 0.0346699074560361 \tabularnewline
0.67 & 5.61293950594438 & 0.0365794592680849 \tabularnewline
0.68 & 5.62031022248901 & 0.0385816110245851 \tabularnewline
0.69 & 5.62802489464778 & 0.0403494703460353 \tabularnewline
0.7 & 5.63600481400584 & 0.0415568484947015 \tabularnewline
0.71 & 5.64411658711934 & 0.0419303002606765 \tabularnewline
0.72 & 5.65218336016023 & 0.0412759353803666 \tabularnewline
0.73 & 5.66000315370993 & 0.0395109009146808 \tabularnewline
0.74 & 5.66737209177418 & 0.0366796591860053 \tabularnewline
0.75 & 5.67410930103877 & 0.032966932000244 \tabularnewline
0.76 & 5.68007989063965 & 0.0286401572866107 \tabularnewline
0.77 & 5.68521287382974 & 0.0240472911241656 \tabularnewline
0.78 & 5.68951207784905 & 0.0195549209412602 \tabularnewline
0.79 & 5.69305964318714 & 0.0155140661561334 \tabularnewline
0.8 & 5.69601307970294 & 0.0122519522538248 \tabularnewline
0.81 & 5.69859745774866 & 0.0100885824425716 \tabularnewline
0.82 & 5.70109383148889 & 0.00936115719634906 \tabularnewline
0.83 & 5.70382353209531 & 0.0102689110700856 \tabularnewline
0.84 & 5.70712620227898 & 0.0126985767417513 \tabularnewline
0.85 & 5.71132851502324 & 0.0163348687186156 \tabularnewline
0.86 & 5.7167016944513 & 0.0207703883670456 \tabularnewline
0.87 & 5.72341000116352 & 0.0254820495698362 \tabularnewline
0.88 & 5.73145876282837 & 0.0298022513594428 \tabularnewline
0.89 & 5.74065702586616 & 0.0329790200706157 \tabularnewline
0.9 & 5.75061262770731 & 0.0343343734905375 \tabularnewline
0.91 & 5.76077261458473 & 0.0334607305104042 \tabularnewline
0.92 & 5.77050842512622 & 0.0303563861878545 \tabularnewline
0.93 & 5.77922742364019 & 0.0254807585144117 \tabularnewline
0.94 & 5.78647945776252 & 0.0196271737141551 \tabularnewline
0.95 & 5.79202807693417 & 0.0137019560475423 \tabularnewline
0.96 & 5.79587140800529 & 0.00847532759454404 \tabularnewline
0.97 & 5.79821625647831 & 0.00443898394640639 \tabularnewline
0.98 & 5.79941691055193 & 0.00178909370363439 \tabularnewline
0.99 & 5.79988741500434 & 0.00043152414226485 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205292&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]4.69001603383175[/C][C]7.75224176526744e-05[/C][/ROW]
[ROW][C]0.02[/C][C]4.69011428296564[/C][C]0.000480962018903962[/C][/ROW]
[ROW][C]0.03[/C][C]4.69046675484789[/C][C]0.00168883625469049[/C][/ROW]
[ROW][C]0.04[/C][C]4.69139613936412[/C][C]0.00431558716250748[/C][/ROW]
[ROW][C]0.05[/C][C]4.69337132168937[/C][C]0.00886437896039954[/C][/ROW]
[ROW][C]0.06[/C][C]4.69693266676375[/C][C]0.0154281827430729[/C][/ROW]
[ROW][C]0.07[/C][C]4.70256927294931[/C][C]0.023591506173312[/C][/ROW]
[ROW][C]0.08[/C][C]4.71060766309822[/C][C]0.0326029310853682[/C][/ROW]
[ROW][C]0.09[/C][C]4.7211743495605[/C][C]0.0418095597034675[/C][/ROW]
[ROW][C]0.1[/C][C]4.73425828657032[/C][C]0.0511030780872359[/C][/ROW]
[ROW][C]0.11[/C][C]4.74984497657346[/C][C]0.0611700164740854[/C][/ROW]
[ROW][C]0.12[/C][C]4.76805377266769[/C][C]0.0732810931791333[/C][/ROW]
[ROW][C]0.13[/C][C]4.78920507922651[/C][C]0.0886164904424301[/C][/ROW]
[ROW][C]0.14[/C][C]4.81377496750391[/C][C]0.107521665576334[/C][/ROW]
[ROW][C]0.15[/C][C]4.84224381098004[/C][C]0.129141377084048[/C][/ROW]
[ROW][C]0.16[/C][C]4.87488960484375[/C][C]0.151520726412894[/C][/ROW]
[ROW][C]0.17[/C][C]4.91159807719175[/C][C]0.172067369960515[/C][/ROW]
[ROW][C]0.18[/C][C]4.9517548333418[/C][C]0.188105730368376[/C][/ROW]
[ROW][C]0.19[/C][C]4.994255609354[/C][C]0.197450291977446[/C][/ROW]
[ROW][C]0.2[/C][C]5.03763237746285[/C][C]0.198854176911851[/C][/ROW]
[ROW][C]0.21[/C][C]5.0802596951423[/C][C]0.192220477733614[/C][/ROW]
[ROW][C]0.22[/C][C]5.1205873493631[/C][C]0.178530399927909[/C][/ROW]
[ROW][C]0.23[/C][C]5.15734527020527[/C][C]0.15959174706848[/C][/ROW]
[ROW][C]0.24[/C][C]5.18968157715211[/C][C]0.137649672037148[/C][/ROW]
[ROW][C]0.25[/C][C]5.21721708808717[/C][C]0.114964714159589[/C][/ROW]
[ROW][C]0.26[/C][C]5.24002153767399[/C][C]0.0935234296040097[/C][/ROW]
[ROW][C]0.27[/C][C]5.25853210211756[/C][C]0.0748371918737981[/C][/ROW]
[ROW][C]0.28[/C][C]5.27344113499483[/C][C]0.0599284983858025[/C][/ROW]
[ROW][C]0.29[/C][C]5.28557819229644[/C][C]0.0493605111729953[/C][/ROW]
[ROW][C]0.3[/C][C]5.29580449737344[/C][C]0.0433202346512682[/C][/ROW]
[ROW][C]0.31[/C][C]5.3049295246973[/C][C]0.0415191098519744[/C][/ROW]
[ROW][C]0.32[/C][C]5.31365216502691[/C][C]0.0431500475107157[/C][/ROW]
[ROW][C]0.33[/C][C]5.3225243969325[/C][C]0.0471106972660082[/C][/ROW]
[ROW][C]0.34[/C][C]5.33193360958554[/C][C]0.052355095932105[/C][/ROW]
[ROW][C]0.35[/C][C]5.34209988686223[/C][C]0.0579478992822519[/C][/ROW]
[ROW][C]0.36[/C][C]5.35308555071142[/C][C]0.0631337316443527[/C][/ROW]
[ROW][C]0.37[/C][C]5.36481512017519[/C][C]0.0672916474314138[/C][/ROW]
[ROW][C]0.38[/C][C]5.37710405317952[/C][C]0.06996278873882[/C][/ROW]
[ROW][C]0.39[/C][C]5.38969415624244[/C][C]0.0708993511972554[/C][/ROW]
[ROW][C]0.4[/C][C]5.40229267641243[/C][C]0.0700380876383592[/C][/ROW]
[ROW][C]0.41[/C][C]5.4146112821269[/C][C]0.0675373888701848[/C][/ROW]
[ROW][C]0.42[/C][C]5.4264008003533[/C][C]0.0637085683821909[/C][/ROW]
[ROW][C]0.43[/C][C]5.43747793091023[/C][C]0.0590008486866674[/C][/ROW]
[ROW][C]0.44[/C][C]5.44774120144116[/C][C]0.053928073578151[/C][/ROW]
[ROW][C]0.45[/C][C]5.45717495743522[/C][C]0.04900047990217[/C][/ROW]
[ROW][C]0.46[/C][C]5.46584188667582[/C][C]0.0446975328093169[/C][/ROW]
[ROW][C]0.47[/C][C]5.47386612748379[/C][C]0.0413580056901371[/C][/ROW]
[ROW][C]0.48[/C][C]5.48141014339507[/C][C]0.0391882323016254[/C][/ROW]
[ROW][C]0.49[/C][C]5.48864911554306[/C][C]0.0381872951435274[/C][/ROW]
[ROW][C]0.5[/C][C]5.495746581518[/C][C]0.0381727578945827[/C][/ROW]
[ROW][C]0.51[/C][C]5.50283450945022[/C][C]0.0388408220274395[/C][/ROW]
[ROW][C]0.52[/C][C]5.51000007719361[/C][C]0.0398230559652532[/C][/ROW]
[ROW][C]0.53[/C][C]5.51728029762113[/C][C]0.0407831325841606[/C][/ROW]
[ROW][C]0.54[/C][C]5.52466446384574[/C][C]0.0414400123806404[/C][/ROW]
[ROW][C]0.55[/C][C]5.53210333807394[/C][C]0.0415999065405259[/C][/ROW]
[ROW][C]0.56[/C][C]5.53952320014259[/C][C]0.0411877685652496[/C][/ROW]
[ROW][C]0.57[/C][C]5.54684239026769[/C][C]0.0402044311158724[/C][/ROW]
[ROW][C]0.58[/C][C]5.55398785774342[/C][C]0.0387626510687522[/C][/ROW]
[ROW][C]0.59[/C][C]5.56090944072785[/C][C]0.0370341703238448[/C][/ROW]
[ROW][C]0.6[/C][C]5.56759007969074[/C][C]0.0352595624810779[/C][/ROW]
[ROW][C]0.61[/C][C]5.57405080402137[/C][C]0.0336758807164924[/C][/ROW]
[ROW][C]0.62[/C][C]5.58035001699686[/C][C]0.0325331809806735[/C][/ROW]
[ROW][C]0.63[/C][C]5.58657724975363[/C][C]0.0320075692501112[/C][/ROW]
[ROW][C]0.64[/C][C]5.59284211186928[/C][C]0.032211566299408[/C][/ROW]
[ROW][C]0.65[/C][C]5.59925962914106[/C][C]0.0331421152601035[/C][/ROW]
[ROW][C]0.66[/C][C]5.60593354731822[/C][C]0.0346699074560361[/C][/ROW]
[ROW][C]0.67[/C][C]5.61293950594438[/C][C]0.0365794592680849[/C][/ROW]
[ROW][C]0.68[/C][C]5.62031022248901[/C][C]0.0385816110245851[/C][/ROW]
[ROW][C]0.69[/C][C]5.62802489464778[/C][C]0.0403494703460353[/C][/ROW]
[ROW][C]0.7[/C][C]5.63600481400584[/C][C]0.0415568484947015[/C][/ROW]
[ROW][C]0.71[/C][C]5.64411658711934[/C][C]0.0419303002606765[/C][/ROW]
[ROW][C]0.72[/C][C]5.65218336016023[/C][C]0.0412759353803666[/C][/ROW]
[ROW][C]0.73[/C][C]5.66000315370993[/C][C]0.0395109009146808[/C][/ROW]
[ROW][C]0.74[/C][C]5.66737209177418[/C][C]0.0366796591860053[/C][/ROW]
[ROW][C]0.75[/C][C]5.67410930103877[/C][C]0.032966932000244[/C][/ROW]
[ROW][C]0.76[/C][C]5.68007989063965[/C][C]0.0286401572866107[/C][/ROW]
[ROW][C]0.77[/C][C]5.68521287382974[/C][C]0.0240472911241656[/C][/ROW]
[ROW][C]0.78[/C][C]5.68951207784905[/C][C]0.0195549209412602[/C][/ROW]
[ROW][C]0.79[/C][C]5.69305964318714[/C][C]0.0155140661561334[/C][/ROW]
[ROW][C]0.8[/C][C]5.69601307970294[/C][C]0.0122519522538248[/C][/ROW]
[ROW][C]0.81[/C][C]5.69859745774866[/C][C]0.0100885824425716[/C][/ROW]
[ROW][C]0.82[/C][C]5.70109383148889[/C][C]0.00936115719634906[/C][/ROW]
[ROW][C]0.83[/C][C]5.70382353209531[/C][C]0.0102689110700856[/C][/ROW]
[ROW][C]0.84[/C][C]5.70712620227898[/C][C]0.0126985767417513[/C][/ROW]
[ROW][C]0.85[/C][C]5.71132851502324[/C][C]0.0163348687186156[/C][/ROW]
[ROW][C]0.86[/C][C]5.7167016944513[/C][C]0.0207703883670456[/C][/ROW]
[ROW][C]0.87[/C][C]5.72341000116352[/C][C]0.0254820495698362[/C][/ROW]
[ROW][C]0.88[/C][C]5.73145876282837[/C][C]0.0298022513594428[/C][/ROW]
[ROW][C]0.89[/C][C]5.74065702586616[/C][C]0.0329790200706157[/C][/ROW]
[ROW][C]0.9[/C][C]5.75061262770731[/C][C]0.0343343734905375[/C][/ROW]
[ROW][C]0.91[/C][C]5.76077261458473[/C][C]0.0334607305104042[/C][/ROW]
[ROW][C]0.92[/C][C]5.77050842512622[/C][C]0.0303563861878545[/C][/ROW]
[ROW][C]0.93[/C][C]5.77922742364019[/C][C]0.0254807585144117[/C][/ROW]
[ROW][C]0.94[/C][C]5.78647945776252[/C][C]0.0196271737141551[/C][/ROW]
[ROW][C]0.95[/C][C]5.79202807693417[/C][C]0.0137019560475423[/C][/ROW]
[ROW][C]0.96[/C][C]5.79587140800529[/C][C]0.00847532759454404[/C][/ROW]
[ROW][C]0.97[/C][C]5.79821625647831[/C][C]0.00443898394640639[/C][/ROW]
[ROW][C]0.98[/C][C]5.79941691055193[/C][C]0.00178909370363439[/C][/ROW]
[ROW][C]0.99[/C][C]5.79988741500434[/C][C]0.00043152414226485[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205292&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205292&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
0.014.690016033831757.75224176526744e-05
0.024.690114282965640.000480962018903962
0.034.690466754847890.00168883625469049
0.044.691396139364120.00431558716250748
0.054.693371321689370.00886437896039954
0.064.696932666763750.0154281827430729
0.074.702569272949310.023591506173312
0.084.710607663098220.0326029310853682
0.094.72117434956050.0418095597034675
0.14.734258286570320.0511030780872359
0.114.749844976573460.0611700164740854
0.124.768053772667690.0732810931791333
0.134.789205079226510.0886164904424301
0.144.813774967503910.107521665576334
0.154.842243810980040.129141377084048
0.164.874889604843750.151520726412894
0.174.911598077191750.172067369960515
0.184.95175483334180.188105730368376
0.194.9942556093540.197450291977446
0.25.037632377462850.198854176911851
0.215.08025969514230.192220477733614
0.225.12058734936310.178530399927909
0.235.157345270205270.15959174706848
0.245.189681577152110.137649672037148
0.255.217217088087170.114964714159589
0.265.240021537673990.0935234296040097
0.275.258532102117560.0748371918737981
0.285.273441134994830.0599284983858025
0.295.285578192296440.0493605111729953
0.35.295804497373440.0433202346512682
0.315.30492952469730.0415191098519744
0.325.313652165026910.0431500475107157
0.335.32252439693250.0471106972660082
0.345.331933609585540.052355095932105
0.355.342099886862230.0579478992822519
0.365.353085550711420.0631337316443527
0.375.364815120175190.0672916474314138
0.385.377104053179520.06996278873882
0.395.389694156242440.0708993511972554
0.45.402292676412430.0700380876383592
0.415.41461128212690.0675373888701848
0.425.42640080035330.0637085683821909
0.435.437477930910230.0590008486866674
0.445.447741201441160.053928073578151
0.455.457174957435220.04900047990217
0.465.465841886675820.0446975328093169
0.475.473866127483790.0413580056901371
0.485.481410143395070.0391882323016254
0.495.488649115543060.0381872951435274
0.55.4957465815180.0381727578945827
0.515.502834509450220.0388408220274395
0.525.510000077193610.0398230559652532
0.535.517280297621130.0407831325841606
0.545.524664463845740.0414400123806404
0.555.532103338073940.0415999065405259
0.565.539523200142590.0411877685652496
0.575.546842390267690.0402044311158724
0.585.553987857743420.0387626510687522
0.595.560909440727850.0370341703238448
0.65.567590079690740.0352595624810779
0.615.574050804021370.0336758807164924
0.625.580350016996860.0325331809806735
0.635.586577249753630.0320075692501112
0.645.592842111869280.032211566299408
0.655.599259629141060.0331421152601035
0.665.605933547318220.0346699074560361
0.675.612939505944380.0365794592680849
0.685.620310222489010.0385816110245851
0.695.628024894647780.0403494703460353
0.75.636004814005840.0415568484947015
0.715.644116587119340.0419303002606765
0.725.652183360160230.0412759353803666
0.735.660003153709930.0395109009146808
0.745.667372091774180.0366796591860053
0.755.674109301038770.032966932000244
0.765.680079890639650.0286401572866107
0.775.685212873829740.0240472911241656
0.785.689512077849050.0195549209412602
0.795.693059643187140.0155140661561334
0.85.696013079702940.0122519522538248
0.815.698597457748660.0100885824425716
0.825.701093831488890.00936115719634906
0.835.703823532095310.0102689110700856
0.845.707126202278980.0126985767417513
0.855.711328515023240.0163348687186156
0.865.71670169445130.0207703883670456
0.875.723410001163520.0254820495698362
0.885.731458762828370.0298022513594428
0.895.740657025866160.0329790200706157
0.95.750612627707310.0343343734905375
0.915.760772614584730.0334607305104042
0.925.770508425126220.0303563861878545
0.935.779227423640190.0254807585144117
0.945.786479457762520.0196271737141551
0.955.792028076934170.0137019560475423
0.965.795871408005290.00847532759454404
0.975.798216256478310.00443898394640639
0.985.799416910551930.00178909370363439
0.995.799887415004340.00043152414226485


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')