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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 computationSat, 04 Oct 2014 15:07:09 +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/2014/Oct/04/t1412431771vfm5bvmvu7pnbyq.htm/, Retrieved Mon, 13 May 2024 03:58:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238591, Retrieved Mon, 13 May 2024 03:58:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87

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] [] [2014-10-04 14:07:09] [beda3c52974d0e45a2203fe962302ec0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101.1
101.35
101.45
101.49
101.68
101.92
102.04
102.55
104.02
105.41
105.48
105.54
105.16
105.16
105.16
105.16
105.16
105.17
105.17
105.54
106.9
107.27
107.31
107.39
107.41
107.46
113.14
117
119.28
119.39
119.5
119.67
119.67
119.73
119.77
119.77
119.78
119.78
119.78
121.28
122.44
122.72
122.75
122.8
122.81
122.83
122.83
122.83
122.84
122.85
123.61
124.74
125.1
125.29
125.45
125.51
125.55
125.57
125.81
127.41
127.75
127.76
127.8
128.23
130.01
130.07
130.17
130.21
130.22
130.23
130.23
130.23
130.23
130.24
130.13
130.14
130.79
131.38
131.61
131.72
131.89
131.89
131.96
131.99
132
132.06
132.11
132.88
135.48
136.56
136.96
137.4
138.32
138.82
138.96
138.94
139
139.19
139.22
139.37
140.74
141.17
141.51
142.94
144.81
145.41
146.11
146.23

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238591&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238591&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238591&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01101.2258490037610.193615950435891
0.02101.3953955757250.198434786093066
0.03101.5785733971910.331891065448972
0.04101.8202125465590.570745748042776
0.05102.1594259138160.865851825876071
0.06102.6009551181851.1321279961268
0.07103.1127869380921.278041181796
0.08103.6382025736921.25815696489471
0.09104.1186850893141.09686071156635
0.1104.515849668930.867829653701724
0.11104.8212004216870.653705898382402
0.12105.0521422764590.518708554096045
0.13105.240732546760.498762678966349
0.14105.4228313484860.594832359315896
0.15105.6317642466180.788769451805552
0.16105.8966297953371.07149917188797
0.17106.2432368629641.44476134335613
0.18106.6953052928481.91209571857089
0.19107.2741744801562.46783307238822
0.2107.9962655616383.08702358767245
0.21108.8686993647543.72096030173852
0.22109.8845448429564.29933844486959
0.23111.019765156684.74506155670627
0.24112.2336792285764.99199299523655
0.25113.4736447398455.00247783392639
0.26114.6831271884424.77811842306667
0.27115.8110363887074.35971860022429
0.28116.8197534568193.81656005839571
0.29117.6897894148483.22954703563521
0.3118.4202103960192.67376743810412
0.31119.0252890075922.20600716691626
0.32119.5287998727561.85729277165833
0.33119.9577237105681.6306799183544
0.34120.3368962374081.50490401159411
0.35120.6855558195041.44408261257778
0.36121.0160682605261.41239059140448
0.37121.3345385148461.3842952728508
0.38121.642661549891.3464085515556
0.39121.9400396794341.29764549870574
0.4122.226270411791.24525935225041
0.41122.5023275909251.20178684841986
0.42122.7710456932041.1780402242178
0.43123.0367959167961.18089564168135
0.44123.3046465069921.21036727567473
0.45123.5793862787341.26079661803421
0.46123.864751948041.32343506329662
0.47124.1630649208491.39018802548051
0.48124.4753056944881.45530329454083
0.49124.8014956847531.51620351353896
0.5125.1411661833491.57342643487724
0.51125.4936937381991.6282231975174
0.52125.8583597760721.68092745232535
0.53126.2341138330091.72931566029048
0.54126.6191385406711.76879113509797
0.55127.0103918210051.79186156912016
0.56127.403317718321.79067265897113
0.57127.7918738913381.75796565715163
0.58128.1689395390171.69020496162342
0.59128.5270683963421.58700183308341
0.6128.8594623123741.45377102076254
0.61129.1609806146291.29925322869548
0.62129.4289799817631.13635083674588
0.63129.6638021812510.979209660084385
0.64129.8687888645160.841913330326843
0.65130.0497932751450.736383938070062
0.66130.2142627813680.669169134484864
0.67130.370065191890.641244496327905
0.68130.5243067369760.645461428784332
0.69130.6824224850210.669927615195056
0.7130.8477960567830.702278583277684
0.71131.0220760759410.73384487939744
0.72131.206203557950.762437761493209
0.73131.4019646825690.794187647832054
0.74131.6136741582920.843108638985038
0.75131.8494330772310.929230001820441
0.76132.1213630830311.07062098131237
0.77132.4443626922681.2742898944958
0.78132.8332910150881.53141610112445
0.79133.2990097625361.8156980442637
0.8133.8442542464492.08789500570666
0.81134.4606299795472.3027522427792
0.82135.1279355099112.41943292090837
0.83135.8164386564462.41238477521805
0.84136.4918594685692.27865569765857
0.85137.1219901178132.03918125384364
0.86137.6834373045941.73479683043089
0.87138.1670034546581.41793549803357
0.88138.5805607657481.14376386269459
0.89138.9487039719930.963703796939905
0.9139.3090446339860.913175062077724
0.91139.706021261910.991396851811848
0.92140.1843316624921.16203678976004
0.93140.7838712298181.3840994638435
0.94141.5342491764941.623293493945
0.95142.441837376591.82261592675773
0.96143.4661390320311.8685086317562
0.97144.5013267251051.63926747123394
0.98145.3919720811141.13534079527139
0.99145.9895284362940.52308671923919

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 101.225849003761 & 0.193615950435891 \tabularnewline
0.02 & 101.395395575725 & 0.198434786093066 \tabularnewline
0.03 & 101.578573397191 & 0.331891065448972 \tabularnewline
0.04 & 101.820212546559 & 0.570745748042776 \tabularnewline
0.05 & 102.159425913816 & 0.865851825876071 \tabularnewline
0.06 & 102.600955118185 & 1.1321279961268 \tabularnewline
0.07 & 103.112786938092 & 1.278041181796 \tabularnewline
0.08 & 103.638202573692 & 1.25815696489471 \tabularnewline
0.09 & 104.118685089314 & 1.09686071156635 \tabularnewline
0.1 & 104.51584966893 & 0.867829653701724 \tabularnewline
0.11 & 104.821200421687 & 0.653705898382402 \tabularnewline
0.12 & 105.052142276459 & 0.518708554096045 \tabularnewline
0.13 & 105.24073254676 & 0.498762678966349 \tabularnewline
0.14 & 105.422831348486 & 0.594832359315896 \tabularnewline
0.15 & 105.631764246618 & 0.788769451805552 \tabularnewline
0.16 & 105.896629795337 & 1.07149917188797 \tabularnewline
0.17 & 106.243236862964 & 1.44476134335613 \tabularnewline
0.18 & 106.695305292848 & 1.91209571857089 \tabularnewline
0.19 & 107.274174480156 & 2.46783307238822 \tabularnewline
0.2 & 107.996265561638 & 3.08702358767245 \tabularnewline
0.21 & 108.868699364754 & 3.72096030173852 \tabularnewline
0.22 & 109.884544842956 & 4.29933844486959 \tabularnewline
0.23 & 111.01976515668 & 4.74506155670627 \tabularnewline
0.24 & 112.233679228576 & 4.99199299523655 \tabularnewline
0.25 & 113.473644739845 & 5.00247783392639 \tabularnewline
0.26 & 114.683127188442 & 4.77811842306667 \tabularnewline
0.27 & 115.811036388707 & 4.35971860022429 \tabularnewline
0.28 & 116.819753456819 & 3.81656005839571 \tabularnewline
0.29 & 117.689789414848 & 3.22954703563521 \tabularnewline
0.3 & 118.420210396019 & 2.67376743810412 \tabularnewline
0.31 & 119.025289007592 & 2.20600716691626 \tabularnewline
0.32 & 119.528799872756 & 1.85729277165833 \tabularnewline
0.33 & 119.957723710568 & 1.6306799183544 \tabularnewline
0.34 & 120.336896237408 & 1.50490401159411 \tabularnewline
0.35 & 120.685555819504 & 1.44408261257778 \tabularnewline
0.36 & 121.016068260526 & 1.41239059140448 \tabularnewline
0.37 & 121.334538514846 & 1.3842952728508 \tabularnewline
0.38 & 121.64266154989 & 1.3464085515556 \tabularnewline
0.39 & 121.940039679434 & 1.29764549870574 \tabularnewline
0.4 & 122.22627041179 & 1.24525935225041 \tabularnewline
0.41 & 122.502327590925 & 1.20178684841986 \tabularnewline
0.42 & 122.771045693204 & 1.1780402242178 \tabularnewline
0.43 & 123.036795916796 & 1.18089564168135 \tabularnewline
0.44 & 123.304646506992 & 1.21036727567473 \tabularnewline
0.45 & 123.579386278734 & 1.26079661803421 \tabularnewline
0.46 & 123.86475194804 & 1.32343506329662 \tabularnewline
0.47 & 124.163064920849 & 1.39018802548051 \tabularnewline
0.48 & 124.475305694488 & 1.45530329454083 \tabularnewline
0.49 & 124.801495684753 & 1.51620351353896 \tabularnewline
0.5 & 125.141166183349 & 1.57342643487724 \tabularnewline
0.51 & 125.493693738199 & 1.6282231975174 \tabularnewline
0.52 & 125.858359776072 & 1.68092745232535 \tabularnewline
0.53 & 126.234113833009 & 1.72931566029048 \tabularnewline
0.54 & 126.619138540671 & 1.76879113509797 \tabularnewline
0.55 & 127.010391821005 & 1.79186156912016 \tabularnewline
0.56 & 127.40331771832 & 1.79067265897113 \tabularnewline
0.57 & 127.791873891338 & 1.75796565715163 \tabularnewline
0.58 & 128.168939539017 & 1.69020496162342 \tabularnewline
0.59 & 128.527068396342 & 1.58700183308341 \tabularnewline
0.6 & 128.859462312374 & 1.45377102076254 \tabularnewline
0.61 & 129.160980614629 & 1.29925322869548 \tabularnewline
0.62 & 129.428979981763 & 1.13635083674588 \tabularnewline
0.63 & 129.663802181251 & 0.979209660084385 \tabularnewline
0.64 & 129.868788864516 & 0.841913330326843 \tabularnewline
0.65 & 130.049793275145 & 0.736383938070062 \tabularnewline
0.66 & 130.214262781368 & 0.669169134484864 \tabularnewline
0.67 & 130.37006519189 & 0.641244496327905 \tabularnewline
0.68 & 130.524306736976 & 0.645461428784332 \tabularnewline
0.69 & 130.682422485021 & 0.669927615195056 \tabularnewline
0.7 & 130.847796056783 & 0.702278583277684 \tabularnewline
0.71 & 131.022076075941 & 0.73384487939744 \tabularnewline
0.72 & 131.20620355795 & 0.762437761493209 \tabularnewline
0.73 & 131.401964682569 & 0.794187647832054 \tabularnewline
0.74 & 131.613674158292 & 0.843108638985038 \tabularnewline
0.75 & 131.849433077231 & 0.929230001820441 \tabularnewline
0.76 & 132.121363083031 & 1.07062098131237 \tabularnewline
0.77 & 132.444362692268 & 1.2742898944958 \tabularnewline
0.78 & 132.833291015088 & 1.53141610112445 \tabularnewline
0.79 & 133.299009762536 & 1.8156980442637 \tabularnewline
0.8 & 133.844254246449 & 2.08789500570666 \tabularnewline
0.81 & 134.460629979547 & 2.3027522427792 \tabularnewline
0.82 & 135.127935509911 & 2.41943292090837 \tabularnewline
0.83 & 135.816438656446 & 2.41238477521805 \tabularnewline
0.84 & 136.491859468569 & 2.27865569765857 \tabularnewline
0.85 & 137.121990117813 & 2.03918125384364 \tabularnewline
0.86 & 137.683437304594 & 1.73479683043089 \tabularnewline
0.87 & 138.167003454658 & 1.41793549803357 \tabularnewline
0.88 & 138.580560765748 & 1.14376386269459 \tabularnewline
0.89 & 138.948703971993 & 0.963703796939905 \tabularnewline
0.9 & 139.309044633986 & 0.913175062077724 \tabularnewline
0.91 & 139.70602126191 & 0.991396851811848 \tabularnewline
0.92 & 140.184331662492 & 1.16203678976004 \tabularnewline
0.93 & 140.783871229818 & 1.3840994638435 \tabularnewline
0.94 & 141.534249176494 & 1.623293493945 \tabularnewline
0.95 & 142.44183737659 & 1.82261592675773 \tabularnewline
0.96 & 143.466139032031 & 1.8685086317562 \tabularnewline
0.97 & 144.501326725105 & 1.63926747123394 \tabularnewline
0.98 & 145.391972081114 & 1.13534079527139 \tabularnewline
0.99 & 145.989528436294 & 0.52308671923919 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238591&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]101.225849003761[/C][C]0.193615950435891[/C][/ROW]
[ROW][C]0.02[/C][C]101.395395575725[/C][C]0.198434786093066[/C][/ROW]
[ROW][C]0.03[/C][C]101.578573397191[/C][C]0.331891065448972[/C][/ROW]
[ROW][C]0.04[/C][C]101.820212546559[/C][C]0.570745748042776[/C][/ROW]
[ROW][C]0.05[/C][C]102.159425913816[/C][C]0.865851825876071[/C][/ROW]
[ROW][C]0.06[/C][C]102.600955118185[/C][C]1.1321279961268[/C][/ROW]
[ROW][C]0.07[/C][C]103.112786938092[/C][C]1.278041181796[/C][/ROW]
[ROW][C]0.08[/C][C]103.638202573692[/C][C]1.25815696489471[/C][/ROW]
[ROW][C]0.09[/C][C]104.118685089314[/C][C]1.09686071156635[/C][/ROW]
[ROW][C]0.1[/C][C]104.51584966893[/C][C]0.867829653701724[/C][/ROW]
[ROW][C]0.11[/C][C]104.821200421687[/C][C]0.653705898382402[/C][/ROW]
[ROW][C]0.12[/C][C]105.052142276459[/C][C]0.518708554096045[/C][/ROW]
[ROW][C]0.13[/C][C]105.24073254676[/C][C]0.498762678966349[/C][/ROW]
[ROW][C]0.14[/C][C]105.422831348486[/C][C]0.594832359315896[/C][/ROW]
[ROW][C]0.15[/C][C]105.631764246618[/C][C]0.788769451805552[/C][/ROW]
[ROW][C]0.16[/C][C]105.896629795337[/C][C]1.07149917188797[/C][/ROW]
[ROW][C]0.17[/C][C]106.243236862964[/C][C]1.44476134335613[/C][/ROW]
[ROW][C]0.18[/C][C]106.695305292848[/C][C]1.91209571857089[/C][/ROW]
[ROW][C]0.19[/C][C]107.274174480156[/C][C]2.46783307238822[/C][/ROW]
[ROW][C]0.2[/C][C]107.996265561638[/C][C]3.08702358767245[/C][/ROW]
[ROW][C]0.21[/C][C]108.868699364754[/C][C]3.72096030173852[/C][/ROW]
[ROW][C]0.22[/C][C]109.884544842956[/C][C]4.29933844486959[/C][/ROW]
[ROW][C]0.23[/C][C]111.01976515668[/C][C]4.74506155670627[/C][/ROW]
[ROW][C]0.24[/C][C]112.233679228576[/C][C]4.99199299523655[/C][/ROW]
[ROW][C]0.25[/C][C]113.473644739845[/C][C]5.00247783392639[/C][/ROW]
[ROW][C]0.26[/C][C]114.683127188442[/C][C]4.77811842306667[/C][/ROW]
[ROW][C]0.27[/C][C]115.811036388707[/C][C]4.35971860022429[/C][/ROW]
[ROW][C]0.28[/C][C]116.819753456819[/C][C]3.81656005839571[/C][/ROW]
[ROW][C]0.29[/C][C]117.689789414848[/C][C]3.22954703563521[/C][/ROW]
[ROW][C]0.3[/C][C]118.420210396019[/C][C]2.67376743810412[/C][/ROW]
[ROW][C]0.31[/C][C]119.025289007592[/C][C]2.20600716691626[/C][/ROW]
[ROW][C]0.32[/C][C]119.528799872756[/C][C]1.85729277165833[/C][/ROW]
[ROW][C]0.33[/C][C]119.957723710568[/C][C]1.6306799183544[/C][/ROW]
[ROW][C]0.34[/C][C]120.336896237408[/C][C]1.50490401159411[/C][/ROW]
[ROW][C]0.35[/C][C]120.685555819504[/C][C]1.44408261257778[/C][/ROW]
[ROW][C]0.36[/C][C]121.016068260526[/C][C]1.41239059140448[/C][/ROW]
[ROW][C]0.37[/C][C]121.334538514846[/C][C]1.3842952728508[/C][/ROW]
[ROW][C]0.38[/C][C]121.64266154989[/C][C]1.3464085515556[/C][/ROW]
[ROW][C]0.39[/C][C]121.940039679434[/C][C]1.29764549870574[/C][/ROW]
[ROW][C]0.4[/C][C]122.22627041179[/C][C]1.24525935225041[/C][/ROW]
[ROW][C]0.41[/C][C]122.502327590925[/C][C]1.20178684841986[/C][/ROW]
[ROW][C]0.42[/C][C]122.771045693204[/C][C]1.1780402242178[/C][/ROW]
[ROW][C]0.43[/C][C]123.036795916796[/C][C]1.18089564168135[/C][/ROW]
[ROW][C]0.44[/C][C]123.304646506992[/C][C]1.21036727567473[/C][/ROW]
[ROW][C]0.45[/C][C]123.579386278734[/C][C]1.26079661803421[/C][/ROW]
[ROW][C]0.46[/C][C]123.86475194804[/C][C]1.32343506329662[/C][/ROW]
[ROW][C]0.47[/C][C]124.163064920849[/C][C]1.39018802548051[/C][/ROW]
[ROW][C]0.48[/C][C]124.475305694488[/C][C]1.45530329454083[/C][/ROW]
[ROW][C]0.49[/C][C]124.801495684753[/C][C]1.51620351353896[/C][/ROW]
[ROW][C]0.5[/C][C]125.141166183349[/C][C]1.57342643487724[/C][/ROW]
[ROW][C]0.51[/C][C]125.493693738199[/C][C]1.6282231975174[/C][/ROW]
[ROW][C]0.52[/C][C]125.858359776072[/C][C]1.68092745232535[/C][/ROW]
[ROW][C]0.53[/C][C]126.234113833009[/C][C]1.72931566029048[/C][/ROW]
[ROW][C]0.54[/C][C]126.619138540671[/C][C]1.76879113509797[/C][/ROW]
[ROW][C]0.55[/C][C]127.010391821005[/C][C]1.79186156912016[/C][/ROW]
[ROW][C]0.56[/C][C]127.40331771832[/C][C]1.79067265897113[/C][/ROW]
[ROW][C]0.57[/C][C]127.791873891338[/C][C]1.75796565715163[/C][/ROW]
[ROW][C]0.58[/C][C]128.168939539017[/C][C]1.69020496162342[/C][/ROW]
[ROW][C]0.59[/C][C]128.527068396342[/C][C]1.58700183308341[/C][/ROW]
[ROW][C]0.6[/C][C]128.859462312374[/C][C]1.45377102076254[/C][/ROW]
[ROW][C]0.61[/C][C]129.160980614629[/C][C]1.29925322869548[/C][/ROW]
[ROW][C]0.62[/C][C]129.428979981763[/C][C]1.13635083674588[/C][/ROW]
[ROW][C]0.63[/C][C]129.663802181251[/C][C]0.979209660084385[/C][/ROW]
[ROW][C]0.64[/C][C]129.868788864516[/C][C]0.841913330326843[/C][/ROW]
[ROW][C]0.65[/C][C]130.049793275145[/C][C]0.736383938070062[/C][/ROW]
[ROW][C]0.66[/C][C]130.214262781368[/C][C]0.669169134484864[/C][/ROW]
[ROW][C]0.67[/C][C]130.37006519189[/C][C]0.641244496327905[/C][/ROW]
[ROW][C]0.68[/C][C]130.524306736976[/C][C]0.645461428784332[/C][/ROW]
[ROW][C]0.69[/C][C]130.682422485021[/C][C]0.669927615195056[/C][/ROW]
[ROW][C]0.7[/C][C]130.847796056783[/C][C]0.702278583277684[/C][/ROW]
[ROW][C]0.71[/C][C]131.022076075941[/C][C]0.73384487939744[/C][/ROW]
[ROW][C]0.72[/C][C]131.20620355795[/C][C]0.762437761493209[/C][/ROW]
[ROW][C]0.73[/C][C]131.401964682569[/C][C]0.794187647832054[/C][/ROW]
[ROW][C]0.74[/C][C]131.613674158292[/C][C]0.843108638985038[/C][/ROW]
[ROW][C]0.75[/C][C]131.849433077231[/C][C]0.929230001820441[/C][/ROW]
[ROW][C]0.76[/C][C]132.121363083031[/C][C]1.07062098131237[/C][/ROW]
[ROW][C]0.77[/C][C]132.444362692268[/C][C]1.2742898944958[/C][/ROW]
[ROW][C]0.78[/C][C]132.833291015088[/C][C]1.53141610112445[/C][/ROW]
[ROW][C]0.79[/C][C]133.299009762536[/C][C]1.8156980442637[/C][/ROW]
[ROW][C]0.8[/C][C]133.844254246449[/C][C]2.08789500570666[/C][/ROW]
[ROW][C]0.81[/C][C]134.460629979547[/C][C]2.3027522427792[/C][/ROW]
[ROW][C]0.82[/C][C]135.127935509911[/C][C]2.41943292090837[/C][/ROW]
[ROW][C]0.83[/C][C]135.816438656446[/C][C]2.41238477521805[/C][/ROW]
[ROW][C]0.84[/C][C]136.491859468569[/C][C]2.27865569765857[/C][/ROW]
[ROW][C]0.85[/C][C]137.121990117813[/C][C]2.03918125384364[/C][/ROW]
[ROW][C]0.86[/C][C]137.683437304594[/C][C]1.73479683043089[/C][/ROW]
[ROW][C]0.87[/C][C]138.167003454658[/C][C]1.41793549803357[/C][/ROW]
[ROW][C]0.88[/C][C]138.580560765748[/C][C]1.14376386269459[/C][/ROW]
[ROW][C]0.89[/C][C]138.948703971993[/C][C]0.963703796939905[/C][/ROW]
[ROW][C]0.9[/C][C]139.309044633986[/C][C]0.913175062077724[/C][/ROW]
[ROW][C]0.91[/C][C]139.70602126191[/C][C]0.991396851811848[/C][/ROW]
[ROW][C]0.92[/C][C]140.184331662492[/C][C]1.16203678976004[/C][/ROW]
[ROW][C]0.93[/C][C]140.783871229818[/C][C]1.3840994638435[/C][/ROW]
[ROW][C]0.94[/C][C]141.534249176494[/C][C]1.623293493945[/C][/ROW]
[ROW][C]0.95[/C][C]142.44183737659[/C][C]1.82261592675773[/C][/ROW]
[ROW][C]0.96[/C][C]143.466139032031[/C][C]1.8685086317562[/C][/ROW]
[ROW][C]0.97[/C][C]144.501326725105[/C][C]1.63926747123394[/C][/ROW]
[ROW][C]0.98[/C][C]145.391972081114[/C][C]1.13534079527139[/C][/ROW]
[ROW][C]0.99[/C][C]145.989528436294[/C][C]0.52308671923919[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238591&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238591&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
0.01101.2258490037610.193615950435891
0.02101.3953955757250.198434786093066
0.03101.5785733971910.331891065448972
0.04101.8202125465590.570745748042776
0.05102.1594259138160.865851825876071
0.06102.6009551181851.1321279961268
0.07103.1127869380921.278041181796
0.08103.6382025736921.25815696489471
0.09104.1186850893141.09686071156635
0.1104.515849668930.867829653701724
0.11104.8212004216870.653705898382402
0.12105.0521422764590.518708554096045
0.13105.240732546760.498762678966349
0.14105.4228313484860.594832359315896
0.15105.6317642466180.788769451805552
0.16105.8966297953371.07149917188797
0.17106.2432368629641.44476134335613
0.18106.6953052928481.91209571857089
0.19107.2741744801562.46783307238822
0.2107.9962655616383.08702358767245
0.21108.8686993647543.72096030173852
0.22109.8845448429564.29933844486959
0.23111.019765156684.74506155670627
0.24112.2336792285764.99199299523655
0.25113.4736447398455.00247783392639
0.26114.6831271884424.77811842306667
0.27115.8110363887074.35971860022429
0.28116.8197534568193.81656005839571
0.29117.6897894148483.22954703563521
0.3118.4202103960192.67376743810412
0.31119.0252890075922.20600716691626
0.32119.5287998727561.85729277165833
0.33119.9577237105681.6306799183544
0.34120.3368962374081.50490401159411
0.35120.6855558195041.44408261257778
0.36121.0160682605261.41239059140448
0.37121.3345385148461.3842952728508
0.38121.642661549891.3464085515556
0.39121.9400396794341.29764549870574
0.4122.226270411791.24525935225041
0.41122.5023275909251.20178684841986
0.42122.7710456932041.1780402242178
0.43123.0367959167961.18089564168135
0.44123.3046465069921.21036727567473
0.45123.5793862787341.26079661803421
0.46123.864751948041.32343506329662
0.47124.1630649208491.39018802548051
0.48124.4753056944881.45530329454083
0.49124.8014956847531.51620351353896
0.5125.1411661833491.57342643487724
0.51125.4936937381991.6282231975174
0.52125.8583597760721.68092745232535
0.53126.2341138330091.72931566029048
0.54126.6191385406711.76879113509797
0.55127.0103918210051.79186156912016
0.56127.403317718321.79067265897113
0.57127.7918738913381.75796565715163
0.58128.1689395390171.69020496162342
0.59128.5270683963421.58700183308341
0.6128.8594623123741.45377102076254
0.61129.1609806146291.29925322869548
0.62129.4289799817631.13635083674588
0.63129.6638021812510.979209660084385
0.64129.8687888645160.841913330326843
0.65130.0497932751450.736383938070062
0.66130.2142627813680.669169134484864
0.67130.370065191890.641244496327905
0.68130.5243067369760.645461428784332
0.69130.6824224850210.669927615195056
0.7130.8477960567830.702278583277684
0.71131.0220760759410.73384487939744
0.72131.206203557950.762437761493209
0.73131.4019646825690.794187647832054
0.74131.6136741582920.843108638985038
0.75131.8494330772310.929230001820441
0.76132.1213630830311.07062098131237
0.77132.4443626922681.2742898944958
0.78132.8332910150881.53141610112445
0.79133.2990097625361.8156980442637
0.8133.8442542464492.08789500570666
0.81134.4606299795472.3027522427792
0.82135.1279355099112.41943292090837
0.83135.8164386564462.41238477521805
0.84136.4918594685692.27865569765857
0.85137.1219901178132.03918125384364
0.86137.6834373045941.73479683043089
0.87138.1670034546581.41793549803357
0.88138.5805607657481.14376386269459
0.89138.9487039719930.963703796939905
0.9139.3090446339860.913175062077724
0.91139.706021261910.991396851811848
0.92140.1843316624921.16203678976004
0.93140.7838712298181.3840994638435
0.94141.5342491764941.623293493945
0.95142.441837376591.82261592675773
0.96143.4661390320311.8685086317562
0.97144.5013267251051.63926747123394
0.98145.3919720811141.13534079527139
0.99145.9895284362940.52308671923919


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 <- '0.01'
par2 <- '0.09'
par1 <- '0.01'
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')