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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, 01 Mar 2008 03:25:38 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/01/t1204367266cyevhtz1sm8t1va.htm/, Retrieved Sat, 18 May 2024 04:35:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9324, Retrieved Sat, 18 May 2024 04:35:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact247

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 goud...] [2008-03-01 10:25:38] [ef244335fc0c3f0884149746f4e30bed] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10.893
10.756
10.940
10.997
10.827
10.166
10.186
10.457
10.368
10.244
10.511
10.812
10.738
10.171
9.721
9.897
9.828
9.924
10.371
10.846
10.413
10.709
10.662
10.570
10.297
10.635
10.872
10.296
10.383
10.431
10.574
10.653
10.805
10.872
10.625
10.407
10.463
10.556
10.646
10.702
11.353
11.346
11.451
11.964
12.574
13.031
13.812
14.544
14.931
14.886
16.005
17.064
15.168
16.050
15.839
15.137
14.954
15.648
15.305
15.579
16.348
15.928
16.171
15.937
15.713
15.594
15.683
16.438
17.032
17.696
17.745
19.394

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 7 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9324&T=0

[TABLE]
[ROW][C]Summary of compuational 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]7 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9324&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9324&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.019.755822391484570.0978801116367545
0.029.809979486173340.0974107846451755
0.039.869937088195870.110098727651383
0.049.930085898180630.127009211964626
0.059.988908505736770.137461377796908
0.0610.04502647007310.137078697411404
0.0710.09665140438450.127868083411977
0.0810.14247241544410.114898560085096
0.0910.18221292064100.102735156552135
0.110.2164896694390.0934779937677488
0.1110.24632847915590.0869540493153629
0.1210.27273080625490.0820321635430558
0.1310.29646269201140.0777347175996718
0.1410.31804282274780.0736697169579899
0.1510.33782941103610.0698868714365157
0.1610.35611747065070.0667186540440139
0.1710.3732014803970.0645245614342692
0.1810.38939547197030.0635632971077281
0.1910.40502168559540.0639178601992377
0.210.42038366097170.0654723382527062
0.2110.43573710056220.0679153137629875
0.2210.45126722872650.0708531015586043
0.2310.46707707328840.0738411620493878
0.2410.48318777526010.0765289699770706
0.2510.49954966898460.078611432219972
0.2610.51606133260740.079904780487895
0.2710.53259299430910.080391502963306
0.2810.54901052596150.0800943486950261
0.2910.56519667169000.0792105138535193
0.310.58106700447470.0779432380102319
0.3110.59657920018910.0765759530984979
0.3210.61173537753400.0753278016594164
0.3310.62657831175900.0744410372762776
0.3410.64118317507220.0740554181754457
0.3510.65564702448760.0742474870699983
0.3610.67007852837690.0750292242245397
0.3710.68459040415620.0763679117377972
0.3810.69929675628180.078247359821733
0.3910.71431699336130.0806603109440712
0.410.72978731540310.0837029638293825
0.4110.74587995951220.087638905548271
0.4210.76282954681310.0928607848398136
0.4310.78096505863960.100084563479471
0.4410.80074524905340.110165808127489
0.4510.82279471273300.124257093205834
0.4610.84793737776490.143609011315080
0.4710.87722385236550.169588235822719
0.4810.91194877098270.203539103953891
0.4910.95365401347620.246755552845021
0.511.00411341753880.30032626435961
0.5111.06529447555050.36512668836243
0.5211.13929274115960.441569733287025
0.5311.22823562889250.529451409801645
0.5411.33415438194940.627856480417056
0.5511.45882652692460.73491093124992
0.5611.60359616917570.847721020242815
0.5711.76918559295780.962331425202293
0.5811.95551784963691.07390266304994
0.5912.16157488781011.17687987166301
0.612.38531760665491.26549064179306
0.6112.62369149664481.3342521971881
0.6212.87273347584991.37851845828390
0.6313.12778250105941.39510090265979
0.6413.38378027608581.38270199365711
0.6513.63563187254451.34215024767758
0.6613.87858297435491.27634733811472
0.6714.10856420359551.19005874153148
0.6814.32245583172681.08930006382611
0.6914.51823837028550.98061706835628
0.714.69501397237620.87041747881543
0.7114.85290614595980.764188139891798
0.7214.99286582116940.666140547951667
0.7315.11642551487530.578838931806739
0.7415.22544714956540.503314871446035
0.7515.32190269938300.439319716615407
0.7615.40771283307040.385793403038283
0.7715.48465177700640.341347716996819
0.7815.55431195690550.304628336146808
0.7915.61811357186380.274556152852655
0.815.67734345144900.250328643812105
0.8115.73321264906730.231414665625845
0.8215.78692930097850.217490029135627
0.8315.83978786327790.208564576176551
0.8415.89327475134670.205006480941787
0.8515.94918285066360.207722673559053
0.8616.00971495062740.217948212883929
0.8716.07754240880590.236945177723090
0.8816.15577574444720.265474686507600
0.8916.24780608083350.303194037974458
0.916.35699900792050.348178570709643
0.9116.48627331977740.396559583920582
0.9216.63769684733840.442846489967819
0.9316.81246733376920.480989543710525
0.9417.01220485986320.506013744161899
0.9517.24328564901500.51758015675073
0.9617.52518542930110.532396978019593
0.9717.89611196649400.614665283785057
0.9818.39092112992480.864732250520514
0.9918.96150531050131.27241716465360

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9.75582239148457 & 0.0978801116367545 \tabularnewline
0.02 & 9.80997948617334 & 0.0974107846451755 \tabularnewline
0.03 & 9.86993708819587 & 0.110098727651383 \tabularnewline
0.04 & 9.93008589818063 & 0.127009211964626 \tabularnewline
0.05 & 9.98890850573677 & 0.137461377796908 \tabularnewline
0.06 & 10.0450264700731 & 0.137078697411404 \tabularnewline
0.07 & 10.0966514043845 & 0.127868083411977 \tabularnewline
0.08 & 10.1424724154441 & 0.114898560085096 \tabularnewline
0.09 & 10.1822129206410 & 0.102735156552135 \tabularnewline
0.1 & 10.216489669439 & 0.0934779937677488 \tabularnewline
0.11 & 10.2463284791559 & 0.0869540493153629 \tabularnewline
0.12 & 10.2727308062549 & 0.0820321635430558 \tabularnewline
0.13 & 10.2964626920114 & 0.0777347175996718 \tabularnewline
0.14 & 10.3180428227478 & 0.0736697169579899 \tabularnewline
0.15 & 10.3378294110361 & 0.0698868714365157 \tabularnewline
0.16 & 10.3561174706507 & 0.0667186540440139 \tabularnewline
0.17 & 10.373201480397 & 0.0645245614342692 \tabularnewline
0.18 & 10.3893954719703 & 0.0635632971077281 \tabularnewline
0.19 & 10.4050216855954 & 0.0639178601992377 \tabularnewline
0.2 & 10.4203836609717 & 0.0654723382527062 \tabularnewline
0.21 & 10.4357371005622 & 0.0679153137629875 \tabularnewline
0.22 & 10.4512672287265 & 0.0708531015586043 \tabularnewline
0.23 & 10.4670770732884 & 0.0738411620493878 \tabularnewline
0.24 & 10.4831877752601 & 0.0765289699770706 \tabularnewline
0.25 & 10.4995496689846 & 0.078611432219972 \tabularnewline
0.26 & 10.5160613326074 & 0.079904780487895 \tabularnewline
0.27 & 10.5325929943091 & 0.080391502963306 \tabularnewline
0.28 & 10.5490105259615 & 0.0800943486950261 \tabularnewline
0.29 & 10.5651966716900 & 0.0792105138535193 \tabularnewline
0.3 & 10.5810670044747 & 0.0779432380102319 \tabularnewline
0.31 & 10.5965792001891 & 0.0765759530984979 \tabularnewline
0.32 & 10.6117353775340 & 0.0753278016594164 \tabularnewline
0.33 & 10.6265783117590 & 0.0744410372762776 \tabularnewline
0.34 & 10.6411831750722 & 0.0740554181754457 \tabularnewline
0.35 & 10.6556470244876 & 0.0742474870699983 \tabularnewline
0.36 & 10.6700785283769 & 0.0750292242245397 \tabularnewline
0.37 & 10.6845904041562 & 0.0763679117377972 \tabularnewline
0.38 & 10.6992967562818 & 0.078247359821733 \tabularnewline
0.39 & 10.7143169933613 & 0.0806603109440712 \tabularnewline
0.4 & 10.7297873154031 & 0.0837029638293825 \tabularnewline
0.41 & 10.7458799595122 & 0.087638905548271 \tabularnewline
0.42 & 10.7628295468131 & 0.0928607848398136 \tabularnewline
0.43 & 10.7809650586396 & 0.100084563479471 \tabularnewline
0.44 & 10.8007452490534 & 0.110165808127489 \tabularnewline
0.45 & 10.8227947127330 & 0.124257093205834 \tabularnewline
0.46 & 10.8479373777649 & 0.143609011315080 \tabularnewline
0.47 & 10.8772238523655 & 0.169588235822719 \tabularnewline
0.48 & 10.9119487709827 & 0.203539103953891 \tabularnewline
0.49 & 10.9536540134762 & 0.246755552845021 \tabularnewline
0.5 & 11.0041134175388 & 0.30032626435961 \tabularnewline
0.51 & 11.0652944755505 & 0.36512668836243 \tabularnewline
0.52 & 11.1392927411596 & 0.441569733287025 \tabularnewline
0.53 & 11.2282356288925 & 0.529451409801645 \tabularnewline
0.54 & 11.3341543819494 & 0.627856480417056 \tabularnewline
0.55 & 11.4588265269246 & 0.73491093124992 \tabularnewline
0.56 & 11.6035961691757 & 0.847721020242815 \tabularnewline
0.57 & 11.7691855929578 & 0.962331425202293 \tabularnewline
0.58 & 11.9555178496369 & 1.07390266304994 \tabularnewline
0.59 & 12.1615748878101 & 1.17687987166301 \tabularnewline
0.6 & 12.3853176066549 & 1.26549064179306 \tabularnewline
0.61 & 12.6236914966448 & 1.3342521971881 \tabularnewline
0.62 & 12.8727334758499 & 1.37851845828390 \tabularnewline
0.63 & 13.1277825010594 & 1.39510090265979 \tabularnewline
0.64 & 13.3837802760858 & 1.38270199365711 \tabularnewline
0.65 & 13.6356318725445 & 1.34215024767758 \tabularnewline
0.66 & 13.8785829743549 & 1.27634733811472 \tabularnewline
0.67 & 14.1085642035955 & 1.19005874153148 \tabularnewline
0.68 & 14.3224558317268 & 1.08930006382611 \tabularnewline
0.69 & 14.5182383702855 & 0.98061706835628 \tabularnewline
0.7 & 14.6950139723762 & 0.87041747881543 \tabularnewline
0.71 & 14.8529061459598 & 0.764188139891798 \tabularnewline
0.72 & 14.9928658211694 & 0.666140547951667 \tabularnewline
0.73 & 15.1164255148753 & 0.578838931806739 \tabularnewline
0.74 & 15.2254471495654 & 0.503314871446035 \tabularnewline
0.75 & 15.3219026993830 & 0.439319716615407 \tabularnewline
0.76 & 15.4077128330704 & 0.385793403038283 \tabularnewline
0.77 & 15.4846517770064 & 0.341347716996819 \tabularnewline
0.78 & 15.5543119569055 & 0.304628336146808 \tabularnewline
0.79 & 15.6181135718638 & 0.274556152852655 \tabularnewline
0.8 & 15.6773434514490 & 0.250328643812105 \tabularnewline
0.81 & 15.7332126490673 & 0.231414665625845 \tabularnewline
0.82 & 15.7869293009785 & 0.217490029135627 \tabularnewline
0.83 & 15.8397878632779 & 0.208564576176551 \tabularnewline
0.84 & 15.8932747513467 & 0.205006480941787 \tabularnewline
0.85 & 15.9491828506636 & 0.207722673559053 \tabularnewline
0.86 & 16.0097149506274 & 0.217948212883929 \tabularnewline
0.87 & 16.0775424088059 & 0.236945177723090 \tabularnewline
0.88 & 16.1557757444472 & 0.265474686507600 \tabularnewline
0.89 & 16.2478060808335 & 0.303194037974458 \tabularnewline
0.9 & 16.3569990079205 & 0.348178570709643 \tabularnewline
0.91 & 16.4862733197774 & 0.396559583920582 \tabularnewline
0.92 & 16.6376968473384 & 0.442846489967819 \tabularnewline
0.93 & 16.8124673337692 & 0.480989543710525 \tabularnewline
0.94 & 17.0122048598632 & 0.506013744161899 \tabularnewline
0.95 & 17.2432856490150 & 0.51758015675073 \tabularnewline
0.96 & 17.5251854293011 & 0.532396978019593 \tabularnewline
0.97 & 17.8961119664940 & 0.614665283785057 \tabularnewline
0.98 & 18.3909211299248 & 0.864732250520514 \tabularnewline
0.99 & 18.9615053105013 & 1.27241716465360 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9324&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]9.75582239148457[/C][C]0.0978801116367545[/C][/ROW]
[ROW][C]0.02[/C][C]9.80997948617334[/C][C]0.0974107846451755[/C][/ROW]
[ROW][C]0.03[/C][C]9.86993708819587[/C][C]0.110098727651383[/C][/ROW]
[ROW][C]0.04[/C][C]9.93008589818063[/C][C]0.127009211964626[/C][/ROW]
[ROW][C]0.05[/C][C]9.98890850573677[/C][C]0.137461377796908[/C][/ROW]
[ROW][C]0.06[/C][C]10.0450264700731[/C][C]0.137078697411404[/C][/ROW]
[ROW][C]0.07[/C][C]10.0966514043845[/C][C]0.127868083411977[/C][/ROW]
[ROW][C]0.08[/C][C]10.1424724154441[/C][C]0.114898560085096[/C][/ROW]
[ROW][C]0.09[/C][C]10.1822129206410[/C][C]0.102735156552135[/C][/ROW]
[ROW][C]0.1[/C][C]10.216489669439[/C][C]0.0934779937677488[/C][/ROW]
[ROW][C]0.11[/C][C]10.2463284791559[/C][C]0.0869540493153629[/C][/ROW]
[ROW][C]0.12[/C][C]10.2727308062549[/C][C]0.0820321635430558[/C][/ROW]
[ROW][C]0.13[/C][C]10.2964626920114[/C][C]0.0777347175996718[/C][/ROW]
[ROW][C]0.14[/C][C]10.3180428227478[/C][C]0.0736697169579899[/C][/ROW]
[ROW][C]0.15[/C][C]10.3378294110361[/C][C]0.0698868714365157[/C][/ROW]
[ROW][C]0.16[/C][C]10.3561174706507[/C][C]0.0667186540440139[/C][/ROW]
[ROW][C]0.17[/C][C]10.373201480397[/C][C]0.0645245614342692[/C][/ROW]
[ROW][C]0.18[/C][C]10.3893954719703[/C][C]0.0635632971077281[/C][/ROW]
[ROW][C]0.19[/C][C]10.4050216855954[/C][C]0.0639178601992377[/C][/ROW]
[ROW][C]0.2[/C][C]10.4203836609717[/C][C]0.0654723382527062[/C][/ROW]
[ROW][C]0.21[/C][C]10.4357371005622[/C][C]0.0679153137629875[/C][/ROW]
[ROW][C]0.22[/C][C]10.4512672287265[/C][C]0.0708531015586043[/C][/ROW]
[ROW][C]0.23[/C][C]10.4670770732884[/C][C]0.0738411620493878[/C][/ROW]
[ROW][C]0.24[/C][C]10.4831877752601[/C][C]0.0765289699770706[/C][/ROW]
[ROW][C]0.25[/C][C]10.4995496689846[/C][C]0.078611432219972[/C][/ROW]
[ROW][C]0.26[/C][C]10.5160613326074[/C][C]0.079904780487895[/C][/ROW]
[ROW][C]0.27[/C][C]10.5325929943091[/C][C]0.080391502963306[/C][/ROW]
[ROW][C]0.28[/C][C]10.5490105259615[/C][C]0.0800943486950261[/C][/ROW]
[ROW][C]0.29[/C][C]10.5651966716900[/C][C]0.0792105138535193[/C][/ROW]
[ROW][C]0.3[/C][C]10.5810670044747[/C][C]0.0779432380102319[/C][/ROW]
[ROW][C]0.31[/C][C]10.5965792001891[/C][C]0.0765759530984979[/C][/ROW]
[ROW][C]0.32[/C][C]10.6117353775340[/C][C]0.0753278016594164[/C][/ROW]
[ROW][C]0.33[/C][C]10.6265783117590[/C][C]0.0744410372762776[/C][/ROW]
[ROW][C]0.34[/C][C]10.6411831750722[/C][C]0.0740554181754457[/C][/ROW]
[ROW][C]0.35[/C][C]10.6556470244876[/C][C]0.0742474870699983[/C][/ROW]
[ROW][C]0.36[/C][C]10.6700785283769[/C][C]0.0750292242245397[/C][/ROW]
[ROW][C]0.37[/C][C]10.6845904041562[/C][C]0.0763679117377972[/C][/ROW]
[ROW][C]0.38[/C][C]10.6992967562818[/C][C]0.078247359821733[/C][/ROW]
[ROW][C]0.39[/C][C]10.7143169933613[/C][C]0.0806603109440712[/C][/ROW]
[ROW][C]0.4[/C][C]10.7297873154031[/C][C]0.0837029638293825[/C][/ROW]
[ROW][C]0.41[/C][C]10.7458799595122[/C][C]0.087638905548271[/C][/ROW]
[ROW][C]0.42[/C][C]10.7628295468131[/C][C]0.0928607848398136[/C][/ROW]
[ROW][C]0.43[/C][C]10.7809650586396[/C][C]0.100084563479471[/C][/ROW]
[ROW][C]0.44[/C][C]10.8007452490534[/C][C]0.110165808127489[/C][/ROW]
[ROW][C]0.45[/C][C]10.8227947127330[/C][C]0.124257093205834[/C][/ROW]
[ROW][C]0.46[/C][C]10.8479373777649[/C][C]0.143609011315080[/C][/ROW]
[ROW][C]0.47[/C][C]10.8772238523655[/C][C]0.169588235822719[/C][/ROW]
[ROW][C]0.48[/C][C]10.9119487709827[/C][C]0.203539103953891[/C][/ROW]
[ROW][C]0.49[/C][C]10.9536540134762[/C][C]0.246755552845021[/C][/ROW]
[ROW][C]0.5[/C][C]11.0041134175388[/C][C]0.30032626435961[/C][/ROW]
[ROW][C]0.51[/C][C]11.0652944755505[/C][C]0.36512668836243[/C][/ROW]
[ROW][C]0.52[/C][C]11.1392927411596[/C][C]0.441569733287025[/C][/ROW]
[ROW][C]0.53[/C][C]11.2282356288925[/C][C]0.529451409801645[/C][/ROW]
[ROW][C]0.54[/C][C]11.3341543819494[/C][C]0.627856480417056[/C][/ROW]
[ROW][C]0.55[/C][C]11.4588265269246[/C][C]0.73491093124992[/C][/ROW]
[ROW][C]0.56[/C][C]11.6035961691757[/C][C]0.847721020242815[/C][/ROW]
[ROW][C]0.57[/C][C]11.7691855929578[/C][C]0.962331425202293[/C][/ROW]
[ROW][C]0.58[/C][C]11.9555178496369[/C][C]1.07390266304994[/C][/ROW]
[ROW][C]0.59[/C][C]12.1615748878101[/C][C]1.17687987166301[/C][/ROW]
[ROW][C]0.6[/C][C]12.3853176066549[/C][C]1.26549064179306[/C][/ROW]
[ROW][C]0.61[/C][C]12.6236914966448[/C][C]1.3342521971881[/C][/ROW]
[ROW][C]0.62[/C][C]12.8727334758499[/C][C]1.37851845828390[/C][/ROW]
[ROW][C]0.63[/C][C]13.1277825010594[/C][C]1.39510090265979[/C][/ROW]
[ROW][C]0.64[/C][C]13.3837802760858[/C][C]1.38270199365711[/C][/ROW]
[ROW][C]0.65[/C][C]13.6356318725445[/C][C]1.34215024767758[/C][/ROW]
[ROW][C]0.66[/C][C]13.8785829743549[/C][C]1.27634733811472[/C][/ROW]
[ROW][C]0.67[/C][C]14.1085642035955[/C][C]1.19005874153148[/C][/ROW]
[ROW][C]0.68[/C][C]14.3224558317268[/C][C]1.08930006382611[/C][/ROW]
[ROW][C]0.69[/C][C]14.5182383702855[/C][C]0.98061706835628[/C][/ROW]
[ROW][C]0.7[/C][C]14.6950139723762[/C][C]0.87041747881543[/C][/ROW]
[ROW][C]0.71[/C][C]14.8529061459598[/C][C]0.764188139891798[/C][/ROW]
[ROW][C]0.72[/C][C]14.9928658211694[/C][C]0.666140547951667[/C][/ROW]
[ROW][C]0.73[/C][C]15.1164255148753[/C][C]0.578838931806739[/C][/ROW]
[ROW][C]0.74[/C][C]15.2254471495654[/C][C]0.503314871446035[/C][/ROW]
[ROW][C]0.75[/C][C]15.3219026993830[/C][C]0.439319716615407[/C][/ROW]
[ROW][C]0.76[/C][C]15.4077128330704[/C][C]0.385793403038283[/C][/ROW]
[ROW][C]0.77[/C][C]15.4846517770064[/C][C]0.341347716996819[/C][/ROW]
[ROW][C]0.78[/C][C]15.5543119569055[/C][C]0.304628336146808[/C][/ROW]
[ROW][C]0.79[/C][C]15.6181135718638[/C][C]0.274556152852655[/C][/ROW]
[ROW][C]0.8[/C][C]15.6773434514490[/C][C]0.250328643812105[/C][/ROW]
[ROW][C]0.81[/C][C]15.7332126490673[/C][C]0.231414665625845[/C][/ROW]
[ROW][C]0.82[/C][C]15.7869293009785[/C][C]0.217490029135627[/C][/ROW]
[ROW][C]0.83[/C][C]15.8397878632779[/C][C]0.208564576176551[/C][/ROW]
[ROW][C]0.84[/C][C]15.8932747513467[/C][C]0.205006480941787[/C][/ROW]
[ROW][C]0.85[/C][C]15.9491828506636[/C][C]0.207722673559053[/C][/ROW]
[ROW][C]0.86[/C][C]16.0097149506274[/C][C]0.217948212883929[/C][/ROW]
[ROW][C]0.87[/C][C]16.0775424088059[/C][C]0.236945177723090[/C][/ROW]
[ROW][C]0.88[/C][C]16.1557757444472[/C][C]0.265474686507600[/C][/ROW]
[ROW][C]0.89[/C][C]16.2478060808335[/C][C]0.303194037974458[/C][/ROW]
[ROW][C]0.9[/C][C]16.3569990079205[/C][C]0.348178570709643[/C][/ROW]
[ROW][C]0.91[/C][C]16.4862733197774[/C][C]0.396559583920582[/C][/ROW]
[ROW][C]0.92[/C][C]16.6376968473384[/C][C]0.442846489967819[/C][/ROW]
[ROW][C]0.93[/C][C]16.8124673337692[/C][C]0.480989543710525[/C][/ROW]
[ROW][C]0.94[/C][C]17.0122048598632[/C][C]0.506013744161899[/C][/ROW]
[ROW][C]0.95[/C][C]17.2432856490150[/C][C]0.51758015675073[/C][/ROW]
[ROW][C]0.96[/C][C]17.5251854293011[/C][C]0.532396978019593[/C][/ROW]
[ROW][C]0.97[/C][C]17.8961119664940[/C][C]0.614665283785057[/C][/ROW]
[ROW][C]0.98[/C][C]18.3909211299248[/C][C]0.864732250520514[/C][/ROW]
[ROW][C]0.99[/C][C]18.9615053105013[/C][C]1.27241716465360[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9324&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9324&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
0.019.755822391484570.0978801116367545
0.029.809979486173340.0974107846451755
0.039.869937088195870.110098727651383
0.049.930085898180630.127009211964626
0.059.988908505736770.137461377796908
0.0610.04502647007310.137078697411404
0.0710.09665140438450.127868083411977
0.0810.14247241544410.114898560085096
0.0910.18221292064100.102735156552135
0.110.2164896694390.0934779937677488
0.1110.24632847915590.0869540493153629
0.1210.27273080625490.0820321635430558
0.1310.29646269201140.0777347175996718
0.1410.31804282274780.0736697169579899
0.1510.33782941103610.0698868714365157
0.1610.35611747065070.0667186540440139
0.1710.3732014803970.0645245614342692
0.1810.38939547197030.0635632971077281
0.1910.40502168559540.0639178601992377
0.210.42038366097170.0654723382527062
0.2110.43573710056220.0679153137629875
0.2210.45126722872650.0708531015586043
0.2310.46707707328840.0738411620493878
0.2410.48318777526010.0765289699770706
0.2510.49954966898460.078611432219972
0.2610.51606133260740.079904780487895
0.2710.53259299430910.080391502963306
0.2810.54901052596150.0800943486950261
0.2910.56519667169000.0792105138535193
0.310.58106700447470.0779432380102319
0.3110.59657920018910.0765759530984979
0.3210.61173537753400.0753278016594164
0.3310.62657831175900.0744410372762776
0.3410.64118317507220.0740554181754457
0.3510.65564702448760.0742474870699983
0.3610.67007852837690.0750292242245397
0.3710.68459040415620.0763679117377972
0.3810.69929675628180.078247359821733
0.3910.71431699336130.0806603109440712
0.410.72978731540310.0837029638293825
0.4110.74587995951220.087638905548271
0.4210.76282954681310.0928607848398136
0.4310.78096505863960.100084563479471
0.4410.80074524905340.110165808127489
0.4510.82279471273300.124257093205834
0.4610.84793737776490.143609011315080
0.4710.87722385236550.169588235822719
0.4810.91194877098270.203539103953891
0.4910.95365401347620.246755552845021
0.511.00411341753880.30032626435961
0.5111.06529447555050.36512668836243
0.5211.13929274115960.441569733287025
0.5311.22823562889250.529451409801645
0.5411.33415438194940.627856480417056
0.5511.45882652692460.73491093124992
0.5611.60359616917570.847721020242815
0.5711.76918559295780.962331425202293
0.5811.95551784963691.07390266304994
0.5912.16157488781011.17687987166301
0.612.38531760665491.26549064179306
0.6112.62369149664481.3342521971881
0.6212.87273347584991.37851845828390
0.6313.12778250105941.39510090265979
0.6413.38378027608581.38270199365711
0.6513.63563187254451.34215024767758
0.6613.87858297435491.27634733811472
0.6714.10856420359551.19005874153148
0.6814.32245583172681.08930006382611
0.6914.51823837028550.98061706835628
0.714.69501397237620.87041747881543
0.7114.85290614595980.764188139891798
0.7214.99286582116940.666140547951667
0.7315.11642551487530.578838931806739
0.7415.22544714956540.503314871446035
0.7515.32190269938300.439319716615407
0.7615.40771283307040.385793403038283
0.7715.48465177700640.341347716996819
0.7815.55431195690550.304628336146808
0.7915.61811357186380.274556152852655
0.815.67734345144900.250328643812105
0.8115.73321264906730.231414665625845
0.8215.78692930097850.217490029135627
0.8315.83978786327790.208564576176551
0.8415.89327475134670.205006480941787
0.8515.94918285066360.207722673559053
0.8616.00971495062740.217948212883929
0.8716.07754240880590.236945177723090
0.8816.15577574444720.265474686507600
0.8916.24780608083350.303194037974458
0.916.35699900792050.348178570709643
0.9116.48627331977740.396559583920582
0.9216.63769684733840.442846489967819
0.9316.81246733376920.480989543710525
0.9417.01220485986320.506013744161899
0.9517.24328564901500.51758015675073
0.9617.52518542930110.532396978019593
0.9717.89611196649400.614665283785057
0.9818.39092112992480.864732250520514
0.9918.96150531050131.27241716465360


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')