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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 computationWed, 11 Feb 2015 16:23:12 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Feb/11/t1423671857wqmkh68i9nsbzen.htm/, Retrieved Wed, 26 Aug 2026 01:55:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277022, Retrieved Wed, 26 Aug 2026 01:55:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact415

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] [Faillisementen ee...] [2015-02-11 16:23:12] [9cc41cf98ef45bbf4afe09924481aae1] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
50
45
43
40
43
47
44
41
31
41
40
31
43
22
17
21
29
23
15
24
24
27
17
22
26
12
13
20
15
23
27
17
22
16
20
8
24
18
28
25
11
33
34
23
13
23
26
15
29
23
26
17
32
25
26
32
24
24
28
26
27
45
47
29
40
25
35
26
32
21
32
16
35
19
28
29
29
26
35
38
27
28
29
26
40
20
28
34
38
32
51
27
23
44
37
26

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277022&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277022&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277022&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.019.240815219885132.27508747062522
0.0210.79438871163091.61736692987152
0.0312.0129791996681.35354476110249
0.0412.91374943743521.30542741111647
0.0513.6409145492381.29060453670076
0.0614.2685611445941.24264778454164
0.0714.82158078060261.17396118525888
0.0815.31314148388261.11968244346571
0.0915.75828288667121.09881500926239
0.116.17391023539981.11357517570903
0.1116.57605534565321.16317623237313
0.1216.97824235786371.24598954485932
0.1317.39057349380841.35289268873089
0.1417.81873425965481.46555954056544
0.1518.26321324709161.56241556603806
0.1618.71951188500971.62659509634151
0.1719.17960022331551.65057992311793
0.1819.63409479798721.63618530057085
0.1920.07429524278081.5911686120292
0.220.49344931780961.52482248565556
0.2120.88711971028261.44498568440733
0.2221.25293351131251.35713459580354
0.2321.59012488821571.26526390790974
0.2421.89916922901271.17311075954986
0.2522.18160087606821.08508627760605
0.2622.43994354908871.00615735237574
0.2722.67762415834770.941268409362062
0.2822.89877415831610.894241962609811
0.2923.1078975806740.86670039762303
0.323.30945186292890.857838750467412
0.3123.50741952262260.864431392310387
0.3223.70494424871870.881778483916617
0.3323.90407933987850.904369504289046
0.3424.10566845513090.926553759567852
0.3524.30936039748540.943100718905133
0.3624.51375231628350.94953280384934
0.3724.71665225589930.942730467142327
0.3824.91544377180660.921426429913928
0.3925.10751863434590.886512410844232
0.425.29072239006460.841158454832197
0.4125.46374140370280.790373451022355
0.4225.62635906759190.740470886323064
0.4325.7795281974260.697896657282367
0.4425.92524329549390.668150584638009
0.4526.06624026997880.654569716888384
0.4626.20558911048770.65771529859309
0.4726.34626568872060.675380350710561
0.4826.49078709585120.703543719509211
0.4926.64097306881790.737606455040193
0.526.79786242910560.773322744674759
0.5126.96177883760370.807456914718492
0.5227.13251373682690.838080589880711
0.5327.30958076048460.864743013209136
0.5427.49249445056310.888196619516204
0.5527.68103217689230.910480971233968
0.5627.87544589723250.934395385630882
0.5728.07659590720970.9633770099884
0.5828.28598197971621.00076885541775
0.5928.50565222502571.04931951833012
0.628.73798243390771.11027118509921
0.6128.98534259667751.1827424037765
0.6229.24970106783271.26341629101447
0.6329.53225121711351.34693415936977
0.6429.83316528395991.42683772463373
0.6530.15157050482821.49719872348192
0.6630.48579662904651.55410879741776
0.6730.83386963568941.59702569356276
0.6831.19414689067441.6292267389672
0.6931.56593445183921.65716248855098
0.731.94992142753511.68902917391268
0.7132.34831319783591.73244285600657
0.7232.76462497360631.79276590252537
0.7333.2031749070491.87174951014311
0.7433.66836177722351.96741959465673
0.7534.163819827232.07434726741484
0.7634.6915354287222.18407906667384
0.7735.25102367947542.28511420752569
0.7835.83871829326472.36395762381259
0.7936.44780190638562.406833655341
0.837.06872615000962.40300903336989
0.8137.69055861134022.34844251352201
0.8238.30301327562762.24866252376438
0.8338.89864524147442.11927644391145
0.8439.47440848445221.98244006357783
0.8540.0318191853951.85988609049228
0.8640.57546440022471.76366293736184
0.8741.11042101811811.69067708039214
0.8841.63989499569851.6255948842465
0.8942.16455178624151.55219781098571
0.942.68433489875751.46534227005338
0.9143.20232196214221.37673684256221
0.9243.72902864316791.31122149573465
0.9344.28531935956961.29563820641365
0.9444.90339883188061.34428461609394
0.9545.62787440370081.45241185370385
0.9646.51729993382611.6167522990755
0.9747.62953812313961.83594261164494
0.9848.94780389782511.93737477681474
0.9950.23542201929741.54980908568055

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9.24081521988513 & 2.27508747062522 \tabularnewline
0.02 & 10.7943887116309 & 1.61736692987152 \tabularnewline
0.03 & 12.012979199668 & 1.35354476110249 \tabularnewline
0.04 & 12.9137494374352 & 1.30542741111647 \tabularnewline
0.05 & 13.640914549238 & 1.29060453670076 \tabularnewline
0.06 & 14.268561144594 & 1.24264778454164 \tabularnewline
0.07 & 14.8215807806026 & 1.17396118525888 \tabularnewline
0.08 & 15.3131414838826 & 1.11968244346571 \tabularnewline
0.09 & 15.7582828866712 & 1.09881500926239 \tabularnewline
0.1 & 16.1739102353998 & 1.11357517570903 \tabularnewline
0.11 & 16.5760553456532 & 1.16317623237313 \tabularnewline
0.12 & 16.9782423578637 & 1.24598954485932 \tabularnewline
0.13 & 17.3905734938084 & 1.35289268873089 \tabularnewline
0.14 & 17.8187342596548 & 1.46555954056544 \tabularnewline
0.15 & 18.2632132470916 & 1.56241556603806 \tabularnewline
0.16 & 18.7195118850097 & 1.62659509634151 \tabularnewline
0.17 & 19.1796002233155 & 1.65057992311793 \tabularnewline
0.18 & 19.6340947979872 & 1.63618530057085 \tabularnewline
0.19 & 20.0742952427808 & 1.5911686120292 \tabularnewline
0.2 & 20.4934493178096 & 1.52482248565556 \tabularnewline
0.21 & 20.8871197102826 & 1.44498568440733 \tabularnewline
0.22 & 21.2529335113125 & 1.35713459580354 \tabularnewline
0.23 & 21.5901248882157 & 1.26526390790974 \tabularnewline
0.24 & 21.8991692290127 & 1.17311075954986 \tabularnewline
0.25 & 22.1816008760682 & 1.08508627760605 \tabularnewline
0.26 & 22.4399435490887 & 1.00615735237574 \tabularnewline
0.27 & 22.6776241583477 & 0.941268409362062 \tabularnewline
0.28 & 22.8987741583161 & 0.894241962609811 \tabularnewline
0.29 & 23.107897580674 & 0.86670039762303 \tabularnewline
0.3 & 23.3094518629289 & 0.857838750467412 \tabularnewline
0.31 & 23.5074195226226 & 0.864431392310387 \tabularnewline
0.32 & 23.7049442487187 & 0.881778483916617 \tabularnewline
0.33 & 23.9040793398785 & 0.904369504289046 \tabularnewline
0.34 & 24.1056684551309 & 0.926553759567852 \tabularnewline
0.35 & 24.3093603974854 & 0.943100718905133 \tabularnewline
0.36 & 24.5137523162835 & 0.94953280384934 \tabularnewline
0.37 & 24.7166522558993 & 0.942730467142327 \tabularnewline
0.38 & 24.9154437718066 & 0.921426429913928 \tabularnewline
0.39 & 25.1075186343459 & 0.886512410844232 \tabularnewline
0.4 & 25.2907223900646 & 0.841158454832197 \tabularnewline
0.41 & 25.4637414037028 & 0.790373451022355 \tabularnewline
0.42 & 25.6263590675919 & 0.740470886323064 \tabularnewline
0.43 & 25.779528197426 & 0.697896657282367 \tabularnewline
0.44 & 25.9252432954939 & 0.668150584638009 \tabularnewline
0.45 & 26.0662402699788 & 0.654569716888384 \tabularnewline
0.46 & 26.2055891104877 & 0.65771529859309 \tabularnewline
0.47 & 26.3462656887206 & 0.675380350710561 \tabularnewline
0.48 & 26.4907870958512 & 0.703543719509211 \tabularnewline
0.49 & 26.6409730688179 & 0.737606455040193 \tabularnewline
0.5 & 26.7978624291056 & 0.773322744674759 \tabularnewline
0.51 & 26.9617788376037 & 0.807456914718492 \tabularnewline
0.52 & 27.1325137368269 & 0.838080589880711 \tabularnewline
0.53 & 27.3095807604846 & 0.864743013209136 \tabularnewline
0.54 & 27.4924944505631 & 0.888196619516204 \tabularnewline
0.55 & 27.6810321768923 & 0.910480971233968 \tabularnewline
0.56 & 27.8754458972325 & 0.934395385630882 \tabularnewline
0.57 & 28.0765959072097 & 0.9633770099884 \tabularnewline
0.58 & 28.2859819797162 & 1.00076885541775 \tabularnewline
0.59 & 28.5056522250257 & 1.04931951833012 \tabularnewline
0.6 & 28.7379824339077 & 1.11027118509921 \tabularnewline
0.61 & 28.9853425966775 & 1.1827424037765 \tabularnewline
0.62 & 29.2497010678327 & 1.26341629101447 \tabularnewline
0.63 & 29.5322512171135 & 1.34693415936977 \tabularnewline
0.64 & 29.8331652839599 & 1.42683772463373 \tabularnewline
0.65 & 30.1515705048282 & 1.49719872348192 \tabularnewline
0.66 & 30.4857966290465 & 1.55410879741776 \tabularnewline
0.67 & 30.8338696356894 & 1.59702569356276 \tabularnewline
0.68 & 31.1941468906744 & 1.6292267389672 \tabularnewline
0.69 & 31.5659344518392 & 1.65716248855098 \tabularnewline
0.7 & 31.9499214275351 & 1.68902917391268 \tabularnewline
0.71 & 32.3483131978359 & 1.73244285600657 \tabularnewline
0.72 & 32.7646249736063 & 1.79276590252537 \tabularnewline
0.73 & 33.203174907049 & 1.87174951014311 \tabularnewline
0.74 & 33.6683617772235 & 1.96741959465673 \tabularnewline
0.75 & 34.16381982723 & 2.07434726741484 \tabularnewline
0.76 & 34.691535428722 & 2.18407906667384 \tabularnewline
0.77 & 35.2510236794754 & 2.28511420752569 \tabularnewline
0.78 & 35.8387182932647 & 2.36395762381259 \tabularnewline
0.79 & 36.4478019063856 & 2.406833655341 \tabularnewline
0.8 & 37.0687261500096 & 2.40300903336989 \tabularnewline
0.81 & 37.6905586113402 & 2.34844251352201 \tabularnewline
0.82 & 38.3030132756276 & 2.24866252376438 \tabularnewline
0.83 & 38.8986452414744 & 2.11927644391145 \tabularnewline
0.84 & 39.4744084844522 & 1.98244006357783 \tabularnewline
0.85 & 40.031819185395 & 1.85988609049228 \tabularnewline
0.86 & 40.5754644002247 & 1.76366293736184 \tabularnewline
0.87 & 41.1104210181181 & 1.69067708039214 \tabularnewline
0.88 & 41.6398949956985 & 1.6255948842465 \tabularnewline
0.89 & 42.1645517862415 & 1.55219781098571 \tabularnewline
0.9 & 42.6843348987575 & 1.46534227005338 \tabularnewline
0.91 & 43.2023219621422 & 1.37673684256221 \tabularnewline
0.92 & 43.7290286431679 & 1.31122149573465 \tabularnewline
0.93 & 44.2853193595696 & 1.29563820641365 \tabularnewline
0.94 & 44.9033988318806 & 1.34428461609394 \tabularnewline
0.95 & 45.6278744037008 & 1.45241185370385 \tabularnewline
0.96 & 46.5172999338261 & 1.6167522990755 \tabularnewline
0.97 & 47.6295381231396 & 1.83594261164494 \tabularnewline
0.98 & 48.9478038978251 & 1.93737477681474 \tabularnewline
0.99 & 50.2354220192974 & 1.54980908568055 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277022&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]9.24081521988513[/C][C]2.27508747062522[/C][/ROW]
[ROW][C]0.02[/C][C]10.7943887116309[/C][C]1.61736692987152[/C][/ROW]
[ROW][C]0.03[/C][C]12.012979199668[/C][C]1.35354476110249[/C][/ROW]
[ROW][C]0.04[/C][C]12.9137494374352[/C][C]1.30542741111647[/C][/ROW]
[ROW][C]0.05[/C][C]13.640914549238[/C][C]1.29060453670076[/C][/ROW]
[ROW][C]0.06[/C][C]14.268561144594[/C][C]1.24264778454164[/C][/ROW]
[ROW][C]0.07[/C][C]14.8215807806026[/C][C]1.17396118525888[/C][/ROW]
[ROW][C]0.08[/C][C]15.3131414838826[/C][C]1.11968244346571[/C][/ROW]
[ROW][C]0.09[/C][C]15.7582828866712[/C][C]1.09881500926239[/C][/ROW]
[ROW][C]0.1[/C][C]16.1739102353998[/C][C]1.11357517570903[/C][/ROW]
[ROW][C]0.11[/C][C]16.5760553456532[/C][C]1.16317623237313[/C][/ROW]
[ROW][C]0.12[/C][C]16.9782423578637[/C][C]1.24598954485932[/C][/ROW]
[ROW][C]0.13[/C][C]17.3905734938084[/C][C]1.35289268873089[/C][/ROW]
[ROW][C]0.14[/C][C]17.8187342596548[/C][C]1.46555954056544[/C][/ROW]
[ROW][C]0.15[/C][C]18.2632132470916[/C][C]1.56241556603806[/C][/ROW]
[ROW][C]0.16[/C][C]18.7195118850097[/C][C]1.62659509634151[/C][/ROW]
[ROW][C]0.17[/C][C]19.1796002233155[/C][C]1.65057992311793[/C][/ROW]
[ROW][C]0.18[/C][C]19.6340947979872[/C][C]1.63618530057085[/C][/ROW]
[ROW][C]0.19[/C][C]20.0742952427808[/C][C]1.5911686120292[/C][/ROW]
[ROW][C]0.2[/C][C]20.4934493178096[/C][C]1.52482248565556[/C][/ROW]
[ROW][C]0.21[/C][C]20.8871197102826[/C][C]1.44498568440733[/C][/ROW]
[ROW][C]0.22[/C][C]21.2529335113125[/C][C]1.35713459580354[/C][/ROW]
[ROW][C]0.23[/C][C]21.5901248882157[/C][C]1.26526390790974[/C][/ROW]
[ROW][C]0.24[/C][C]21.8991692290127[/C][C]1.17311075954986[/C][/ROW]
[ROW][C]0.25[/C][C]22.1816008760682[/C][C]1.08508627760605[/C][/ROW]
[ROW][C]0.26[/C][C]22.4399435490887[/C][C]1.00615735237574[/C][/ROW]
[ROW][C]0.27[/C][C]22.6776241583477[/C][C]0.941268409362062[/C][/ROW]
[ROW][C]0.28[/C][C]22.8987741583161[/C][C]0.894241962609811[/C][/ROW]
[ROW][C]0.29[/C][C]23.107897580674[/C][C]0.86670039762303[/C][/ROW]
[ROW][C]0.3[/C][C]23.3094518629289[/C][C]0.857838750467412[/C][/ROW]
[ROW][C]0.31[/C][C]23.5074195226226[/C][C]0.864431392310387[/C][/ROW]
[ROW][C]0.32[/C][C]23.7049442487187[/C][C]0.881778483916617[/C][/ROW]
[ROW][C]0.33[/C][C]23.9040793398785[/C][C]0.904369504289046[/C][/ROW]
[ROW][C]0.34[/C][C]24.1056684551309[/C][C]0.926553759567852[/C][/ROW]
[ROW][C]0.35[/C][C]24.3093603974854[/C][C]0.943100718905133[/C][/ROW]
[ROW][C]0.36[/C][C]24.5137523162835[/C][C]0.94953280384934[/C][/ROW]
[ROW][C]0.37[/C][C]24.7166522558993[/C][C]0.942730467142327[/C][/ROW]
[ROW][C]0.38[/C][C]24.9154437718066[/C][C]0.921426429913928[/C][/ROW]
[ROW][C]0.39[/C][C]25.1075186343459[/C][C]0.886512410844232[/C][/ROW]
[ROW][C]0.4[/C][C]25.2907223900646[/C][C]0.841158454832197[/C][/ROW]
[ROW][C]0.41[/C][C]25.4637414037028[/C][C]0.790373451022355[/C][/ROW]
[ROW][C]0.42[/C][C]25.6263590675919[/C][C]0.740470886323064[/C][/ROW]
[ROW][C]0.43[/C][C]25.779528197426[/C][C]0.697896657282367[/C][/ROW]
[ROW][C]0.44[/C][C]25.9252432954939[/C][C]0.668150584638009[/C][/ROW]
[ROW][C]0.45[/C][C]26.0662402699788[/C][C]0.654569716888384[/C][/ROW]
[ROW][C]0.46[/C][C]26.2055891104877[/C][C]0.65771529859309[/C][/ROW]
[ROW][C]0.47[/C][C]26.3462656887206[/C][C]0.675380350710561[/C][/ROW]
[ROW][C]0.48[/C][C]26.4907870958512[/C][C]0.703543719509211[/C][/ROW]
[ROW][C]0.49[/C][C]26.6409730688179[/C][C]0.737606455040193[/C][/ROW]
[ROW][C]0.5[/C][C]26.7978624291056[/C][C]0.773322744674759[/C][/ROW]
[ROW][C]0.51[/C][C]26.9617788376037[/C][C]0.807456914718492[/C][/ROW]
[ROW][C]0.52[/C][C]27.1325137368269[/C][C]0.838080589880711[/C][/ROW]
[ROW][C]0.53[/C][C]27.3095807604846[/C][C]0.864743013209136[/C][/ROW]
[ROW][C]0.54[/C][C]27.4924944505631[/C][C]0.888196619516204[/C][/ROW]
[ROW][C]0.55[/C][C]27.6810321768923[/C][C]0.910480971233968[/C][/ROW]
[ROW][C]0.56[/C][C]27.8754458972325[/C][C]0.934395385630882[/C][/ROW]
[ROW][C]0.57[/C][C]28.0765959072097[/C][C]0.9633770099884[/C][/ROW]
[ROW][C]0.58[/C][C]28.2859819797162[/C][C]1.00076885541775[/C][/ROW]
[ROW][C]0.59[/C][C]28.5056522250257[/C][C]1.04931951833012[/C][/ROW]
[ROW][C]0.6[/C][C]28.7379824339077[/C][C]1.11027118509921[/C][/ROW]
[ROW][C]0.61[/C][C]28.9853425966775[/C][C]1.1827424037765[/C][/ROW]
[ROW][C]0.62[/C][C]29.2497010678327[/C][C]1.26341629101447[/C][/ROW]
[ROW][C]0.63[/C][C]29.5322512171135[/C][C]1.34693415936977[/C][/ROW]
[ROW][C]0.64[/C][C]29.8331652839599[/C][C]1.42683772463373[/C][/ROW]
[ROW][C]0.65[/C][C]30.1515705048282[/C][C]1.49719872348192[/C][/ROW]
[ROW][C]0.66[/C][C]30.4857966290465[/C][C]1.55410879741776[/C][/ROW]
[ROW][C]0.67[/C][C]30.8338696356894[/C][C]1.59702569356276[/C][/ROW]
[ROW][C]0.68[/C][C]31.1941468906744[/C][C]1.6292267389672[/C][/ROW]
[ROW][C]0.69[/C][C]31.5659344518392[/C][C]1.65716248855098[/C][/ROW]
[ROW][C]0.7[/C][C]31.9499214275351[/C][C]1.68902917391268[/C][/ROW]
[ROW][C]0.71[/C][C]32.3483131978359[/C][C]1.73244285600657[/C][/ROW]
[ROW][C]0.72[/C][C]32.7646249736063[/C][C]1.79276590252537[/C][/ROW]
[ROW][C]0.73[/C][C]33.203174907049[/C][C]1.87174951014311[/C][/ROW]
[ROW][C]0.74[/C][C]33.6683617772235[/C][C]1.96741959465673[/C][/ROW]
[ROW][C]0.75[/C][C]34.16381982723[/C][C]2.07434726741484[/C][/ROW]
[ROW][C]0.76[/C][C]34.691535428722[/C][C]2.18407906667384[/C][/ROW]
[ROW][C]0.77[/C][C]35.2510236794754[/C][C]2.28511420752569[/C][/ROW]
[ROW][C]0.78[/C][C]35.8387182932647[/C][C]2.36395762381259[/C][/ROW]
[ROW][C]0.79[/C][C]36.4478019063856[/C][C]2.406833655341[/C][/ROW]
[ROW][C]0.8[/C][C]37.0687261500096[/C][C]2.40300903336989[/C][/ROW]
[ROW][C]0.81[/C][C]37.6905586113402[/C][C]2.34844251352201[/C][/ROW]
[ROW][C]0.82[/C][C]38.3030132756276[/C][C]2.24866252376438[/C][/ROW]
[ROW][C]0.83[/C][C]38.8986452414744[/C][C]2.11927644391145[/C][/ROW]
[ROW][C]0.84[/C][C]39.4744084844522[/C][C]1.98244006357783[/C][/ROW]
[ROW][C]0.85[/C][C]40.031819185395[/C][C]1.85988609049228[/C][/ROW]
[ROW][C]0.86[/C][C]40.5754644002247[/C][C]1.76366293736184[/C][/ROW]
[ROW][C]0.87[/C][C]41.1104210181181[/C][C]1.69067708039214[/C][/ROW]
[ROW][C]0.88[/C][C]41.6398949956985[/C][C]1.6255948842465[/C][/ROW]
[ROW][C]0.89[/C][C]42.1645517862415[/C][C]1.55219781098571[/C][/ROW]
[ROW][C]0.9[/C][C]42.6843348987575[/C][C]1.46534227005338[/C][/ROW]
[ROW][C]0.91[/C][C]43.2023219621422[/C][C]1.37673684256221[/C][/ROW]
[ROW][C]0.92[/C][C]43.7290286431679[/C][C]1.31122149573465[/C][/ROW]
[ROW][C]0.93[/C][C]44.2853193595696[/C][C]1.29563820641365[/C][/ROW]
[ROW][C]0.94[/C][C]44.9033988318806[/C][C]1.34428461609394[/C][/ROW]
[ROW][C]0.95[/C][C]45.6278744037008[/C][C]1.45241185370385[/C][/ROW]
[ROW][C]0.96[/C][C]46.5172999338261[/C][C]1.6167522990755[/C][/ROW]
[ROW][C]0.97[/C][C]47.6295381231396[/C][C]1.83594261164494[/C][/ROW]
[ROW][C]0.98[/C][C]48.9478038978251[/C][C]1.93737477681474[/C][/ROW]
[ROW][C]0.99[/C][C]50.2354220192974[/C][C]1.54980908568055[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277022&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277022&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
0.019.240815219885132.27508747062522
0.0210.79438871163091.61736692987152
0.0312.0129791996681.35354476110249
0.0412.91374943743521.30542741111647
0.0513.6409145492381.29060453670076
0.0614.2685611445941.24264778454164
0.0714.82158078060261.17396118525888
0.0815.31314148388261.11968244346571
0.0915.75828288667121.09881500926239
0.116.17391023539981.11357517570903
0.1116.57605534565321.16317623237313
0.1216.97824235786371.24598954485932
0.1317.39057349380841.35289268873089
0.1417.81873425965481.46555954056544
0.1518.26321324709161.56241556603806
0.1618.71951188500971.62659509634151
0.1719.17960022331551.65057992311793
0.1819.63409479798721.63618530057085
0.1920.07429524278081.5911686120292
0.220.49344931780961.52482248565556
0.2120.88711971028261.44498568440733
0.2221.25293351131251.35713459580354
0.2321.59012488821571.26526390790974
0.2421.89916922901271.17311075954986
0.2522.18160087606821.08508627760605
0.2622.43994354908871.00615735237574
0.2722.67762415834770.941268409362062
0.2822.89877415831610.894241962609811
0.2923.1078975806740.86670039762303
0.323.30945186292890.857838750467412
0.3123.50741952262260.864431392310387
0.3223.70494424871870.881778483916617
0.3323.90407933987850.904369504289046
0.3424.10566845513090.926553759567852
0.3524.30936039748540.943100718905133
0.3624.51375231628350.94953280384934
0.3724.71665225589930.942730467142327
0.3824.91544377180660.921426429913928
0.3925.10751863434590.886512410844232
0.425.29072239006460.841158454832197
0.4125.46374140370280.790373451022355
0.4225.62635906759190.740470886323064
0.4325.7795281974260.697896657282367
0.4425.92524329549390.668150584638009
0.4526.06624026997880.654569716888384
0.4626.20558911048770.65771529859309
0.4726.34626568872060.675380350710561
0.4826.49078709585120.703543719509211
0.4926.64097306881790.737606455040193
0.526.79786242910560.773322744674759
0.5126.96177883760370.807456914718492
0.5227.13251373682690.838080589880711
0.5327.30958076048460.864743013209136
0.5427.49249445056310.888196619516204
0.5527.68103217689230.910480971233968
0.5627.87544589723250.934395385630882
0.5728.07659590720970.9633770099884
0.5828.28598197971621.00076885541775
0.5928.50565222502571.04931951833012
0.628.73798243390771.11027118509921
0.6128.98534259667751.1827424037765
0.6229.24970106783271.26341629101447
0.6329.53225121711351.34693415936977
0.6429.83316528395991.42683772463373
0.6530.15157050482821.49719872348192
0.6630.48579662904651.55410879741776
0.6730.83386963568941.59702569356276
0.6831.19414689067441.6292267389672
0.6931.56593445183921.65716248855098
0.731.94992142753511.68902917391268
0.7132.34831319783591.73244285600657
0.7232.76462497360631.79276590252537
0.7333.2031749070491.87174951014311
0.7433.66836177722351.96741959465673
0.7534.163819827232.07434726741484
0.7634.6915354287222.18407906667384
0.7735.25102367947542.28511420752569
0.7835.83871829326472.36395762381259
0.7936.44780190638562.406833655341
0.837.06872615000962.40300903336989
0.8137.69055861134022.34844251352201
0.8238.30301327562762.24866252376438
0.8338.89864524147442.11927644391145
0.8439.47440848445221.98244006357783
0.8540.0318191853951.85988609049228
0.8640.57546440022471.76366293736184
0.8741.11042101811811.69067708039214
0.8841.63989499569851.6255948842465
0.8942.16455178624151.55219781098571
0.942.68433489875751.46534227005338
0.9143.20232196214221.37673684256221
0.9243.72902864316791.31122149573465
0.9344.28531935956961.29563820641365
0.9444.90339883188061.34428461609394
0.9545.62787440370081.45241185370385
0.9646.51729993382611.6167522990755
0.9747.62953812313961.83594261164494
0.9848.94780389782511.93737477681474
0.9950.23542201929741.54980908568055


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')