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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, 27 Feb 2008 06:10:08 -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/Feb/27/t1204117923u7zj2guz53usaok.htm/, Retrieved Sun, 12 May 2024 22:33:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9196, Retrieved Sun, 12 May 2024 22:33:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact223

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 Marl...] [2008-02-27 13:10:08] [4eb44b0124b34dab365a44c9d5d07c57] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2301
2512
3145
2741
2548
1987
2281
2016
2434
2637
1831
1851
1839
2609
2417
2394
2372
2717
2998
2538
3007
2475
2175
2465
2279
2323
2746
2601
2486
2718
2646
2551
2712
2606
2365
3533
3509
2912
3599
2719
2869
4085
2686
2545
3071
3388
2652
3190
2884
3295
3818
3226
3953
3810
2877
3515
3708
3450
3360
4098
4374
3703
4257
3487
3659
3904
2957
3320
3420
3500
2791
2919

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9196&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9196&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9196&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011838.1832488305520.9307951651835
0.021856.1865597102050.3559937243512
0.031886.8919305320885.2569248191548
0.041929.32580180085115.608089186386
0.051980.15049064772136.259535023206
0.062034.99657305648146.067695174080
0.072089.72039865559145.857471667419
0.082141.12454061774137.551128367111
0.092187.20407169907123.986396509781
0.12227.10822993684108.420045747300
0.112260.9343091661093.7483145843574
0.122289.4226509952281.8413909206555
0.132313.6265863661973.349554896175
0.142334.6330843389667.9289654313171
0.152353.3818256379164.7636400287265
0.162370.5881300334663.0183093158656
0.172386.7435536015162.0674511682121
0.182402.1576675714061.5002231130375
0.192417.0109300276861.066727183722
0.22431.4013953836460.6336078149953
0.212445.3793092416960.1366651132974
0.222458.9702536308659.5493137949743
0.232472.1898533026858.8889684474046
0.242485.0529146618858.1936118883202
0.252497.5788814917857.5159911411414
0.262509.7945936828356.9122848183844
0.272521.7348406236156.4379055599995
0.282533.4410741396356.1371223548667
0.292544.9587309929356.0326129391375
0.32556.3337578581256.1201627284645
0.312567.6090241113556.3705742684393
0.322578.821296023556.7438234715257
0.332589.9993263213957.1877092350723
0.342601.1634180768157.6536664220106
0.352612.3265982199458.1159241857094
0.362623.4973210259758.5503743525144
0.372634.6834296807758.9787986506264
0.382645.8969282401859.4278347745048
0.392657.1589488821259.9705505867368
0.42668.5041526323960.7063739870013
0.412679.9837197008461.7467581692442
0.422691.6661344125663.2154059405887
0.432703.6352089025665.2150536261371
0.442715.9852352517767.8025256902915
0.452728.8137531728970.98062357652
0.462742.213042641574.672816450804
0.472756.2619261290678.7352282793098
0.482771.019627702983.0152336609884
0.492786.5231841745787.32610272695
0.52802.7892411395891.544274255679
0.512819.8201169464695.581088877595
0.522837.6129961887699.4563546969526
0.532856.17027425242103.247212161277
0.542875.50863669104107.097268210013
0.552895.66454926207111.170759648719
0.562916.69445554693115.625706697055
0.572938.66900090054120.538101865418
0.582961.66180261433125.89910740871
0.592985.7344082123131.578789852939
0.63010.919892461137.348916391206
0.613037.20787923329142.898656295036
0.623064.53358087505147.8675279688
0.633092.77277782675151.906009543395
0.643121.74365946371154.696834438412
0.653151.21531798459156.007933373081
0.663180.92165544419155.707841775025
0.673210.57873288719153.775113428937
0.683239.90330260221150.289094929811
0.693268.63046959328145.422825286575
0.73296.52906292438139.415516451265
0.713323.41418234153132.555548972531
0.723349.15724894480125.150260276432
0.733373.69442252688117.521210340709
0.743397.03419574324110.018907149099
0.753419.26423826546102.998899623884
0.763440.5562980328996.8547467036313
0.773461.166617081891.9947903588868
0.783481.428548322288.793929989618
0.793501.7345380318987.5321209748504
0.83522.5067364088688.2843946383813
0.813544.1589810940390.8502607015327
0.823567.0568013275694.767196274805
0.833591.484917110699.4135037286803
0.843617.63197362989104.146764910531
0.853645.59916682961108.463573009352
0.863675.43333280582112.091299810719
0.873707.17737984527115.022718103443
0.883740.92354077695117.490559533068
0.893776.85005137074119.848794765167
0.93815.22305719169122.396179157374
0.913856.35894101824125.161350763123
0.923900.57378776753127.723246804671
0.933948.18919992706129.282992035709
0.943999.67605695283129.255374621673
0.954055.91928563433128.260934759459
0.964118.29693230594128.157543057722
0.974187.79838970733129.108786007161
0.984262.09573916639126.977005776702
0.994330.7141622589120.076860910886

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1838.18324883055 & 20.9307951651835 \tabularnewline
0.02 & 1856.18655971020 & 50.3559937243512 \tabularnewline
0.03 & 1886.89193053208 & 85.2569248191548 \tabularnewline
0.04 & 1929.32580180085 & 115.608089186386 \tabularnewline
0.05 & 1980.15049064772 & 136.259535023206 \tabularnewline
0.06 & 2034.99657305648 & 146.067695174080 \tabularnewline
0.07 & 2089.72039865559 & 145.857471667419 \tabularnewline
0.08 & 2141.12454061774 & 137.551128367111 \tabularnewline
0.09 & 2187.20407169907 & 123.986396509781 \tabularnewline
0.1 & 2227.10822993684 & 108.420045747300 \tabularnewline
0.11 & 2260.93430916610 & 93.7483145843574 \tabularnewline
0.12 & 2289.42265099522 & 81.8413909206555 \tabularnewline
0.13 & 2313.62658636619 & 73.349554896175 \tabularnewline
0.14 & 2334.63308433896 & 67.9289654313171 \tabularnewline
0.15 & 2353.38182563791 & 64.7636400287265 \tabularnewline
0.16 & 2370.58813003346 & 63.0183093158656 \tabularnewline
0.17 & 2386.74355360151 & 62.0674511682121 \tabularnewline
0.18 & 2402.15766757140 & 61.5002231130375 \tabularnewline
0.19 & 2417.01093002768 & 61.066727183722 \tabularnewline
0.2 & 2431.40139538364 & 60.6336078149953 \tabularnewline
0.21 & 2445.37930924169 & 60.1366651132974 \tabularnewline
0.22 & 2458.97025363086 & 59.5493137949743 \tabularnewline
0.23 & 2472.18985330268 & 58.8889684474046 \tabularnewline
0.24 & 2485.05291466188 & 58.1936118883202 \tabularnewline
0.25 & 2497.57888149178 & 57.5159911411414 \tabularnewline
0.26 & 2509.79459368283 & 56.9122848183844 \tabularnewline
0.27 & 2521.73484062361 & 56.4379055599995 \tabularnewline
0.28 & 2533.44107413963 & 56.1371223548667 \tabularnewline
0.29 & 2544.95873099293 & 56.0326129391375 \tabularnewline
0.3 & 2556.33375785812 & 56.1201627284645 \tabularnewline
0.31 & 2567.60902411135 & 56.3705742684393 \tabularnewline
0.32 & 2578.8212960235 & 56.7438234715257 \tabularnewline
0.33 & 2589.99932632139 & 57.1877092350723 \tabularnewline
0.34 & 2601.16341807681 & 57.6536664220106 \tabularnewline
0.35 & 2612.32659821994 & 58.1159241857094 \tabularnewline
0.36 & 2623.49732102597 & 58.5503743525144 \tabularnewline
0.37 & 2634.68342968077 & 58.9787986506264 \tabularnewline
0.38 & 2645.89692824018 & 59.4278347745048 \tabularnewline
0.39 & 2657.15894888212 & 59.9705505867368 \tabularnewline
0.4 & 2668.50415263239 & 60.7063739870013 \tabularnewline
0.41 & 2679.98371970084 & 61.7467581692442 \tabularnewline
0.42 & 2691.66613441256 & 63.2154059405887 \tabularnewline
0.43 & 2703.63520890256 & 65.2150536261371 \tabularnewline
0.44 & 2715.98523525177 & 67.8025256902915 \tabularnewline
0.45 & 2728.81375317289 & 70.98062357652 \tabularnewline
0.46 & 2742.2130426415 & 74.672816450804 \tabularnewline
0.47 & 2756.26192612906 & 78.7352282793098 \tabularnewline
0.48 & 2771.0196277029 & 83.0152336609884 \tabularnewline
0.49 & 2786.52318417457 & 87.32610272695 \tabularnewline
0.5 & 2802.78924113958 & 91.544274255679 \tabularnewline
0.51 & 2819.82011694646 & 95.581088877595 \tabularnewline
0.52 & 2837.61299618876 & 99.4563546969526 \tabularnewline
0.53 & 2856.17027425242 & 103.247212161277 \tabularnewline
0.54 & 2875.50863669104 & 107.097268210013 \tabularnewline
0.55 & 2895.66454926207 & 111.170759648719 \tabularnewline
0.56 & 2916.69445554693 & 115.625706697055 \tabularnewline
0.57 & 2938.66900090054 & 120.538101865418 \tabularnewline
0.58 & 2961.66180261433 & 125.89910740871 \tabularnewline
0.59 & 2985.7344082123 & 131.578789852939 \tabularnewline
0.6 & 3010.919892461 & 137.348916391206 \tabularnewline
0.61 & 3037.20787923329 & 142.898656295036 \tabularnewline
0.62 & 3064.53358087505 & 147.8675279688 \tabularnewline
0.63 & 3092.77277782675 & 151.906009543395 \tabularnewline
0.64 & 3121.74365946371 & 154.696834438412 \tabularnewline
0.65 & 3151.21531798459 & 156.007933373081 \tabularnewline
0.66 & 3180.92165544419 & 155.707841775025 \tabularnewline
0.67 & 3210.57873288719 & 153.775113428937 \tabularnewline
0.68 & 3239.90330260221 & 150.289094929811 \tabularnewline
0.69 & 3268.63046959328 & 145.422825286575 \tabularnewline
0.7 & 3296.52906292438 & 139.415516451265 \tabularnewline
0.71 & 3323.41418234153 & 132.555548972531 \tabularnewline
0.72 & 3349.15724894480 & 125.150260276432 \tabularnewline
0.73 & 3373.69442252688 & 117.521210340709 \tabularnewline
0.74 & 3397.03419574324 & 110.018907149099 \tabularnewline
0.75 & 3419.26423826546 & 102.998899623884 \tabularnewline
0.76 & 3440.55629803289 & 96.8547467036313 \tabularnewline
0.77 & 3461.1666170818 & 91.9947903588868 \tabularnewline
0.78 & 3481.4285483222 & 88.793929989618 \tabularnewline
0.79 & 3501.73453803189 & 87.5321209748504 \tabularnewline
0.8 & 3522.50673640886 & 88.2843946383813 \tabularnewline
0.81 & 3544.15898109403 & 90.8502607015327 \tabularnewline
0.82 & 3567.05680132756 & 94.767196274805 \tabularnewline
0.83 & 3591.4849171106 & 99.4135037286803 \tabularnewline
0.84 & 3617.63197362989 & 104.146764910531 \tabularnewline
0.85 & 3645.59916682961 & 108.463573009352 \tabularnewline
0.86 & 3675.43333280582 & 112.091299810719 \tabularnewline
0.87 & 3707.17737984527 & 115.022718103443 \tabularnewline
0.88 & 3740.92354077695 & 117.490559533068 \tabularnewline
0.89 & 3776.85005137074 & 119.848794765167 \tabularnewline
0.9 & 3815.22305719169 & 122.396179157374 \tabularnewline
0.91 & 3856.35894101824 & 125.161350763123 \tabularnewline
0.92 & 3900.57378776753 & 127.723246804671 \tabularnewline
0.93 & 3948.18919992706 & 129.282992035709 \tabularnewline
0.94 & 3999.67605695283 & 129.255374621673 \tabularnewline
0.95 & 4055.91928563433 & 128.260934759459 \tabularnewline
0.96 & 4118.29693230594 & 128.157543057722 \tabularnewline
0.97 & 4187.79838970733 & 129.108786007161 \tabularnewline
0.98 & 4262.09573916639 & 126.977005776702 \tabularnewline
0.99 & 4330.7141622589 & 120.076860910886 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9196&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]1838.18324883055[/C][C]20.9307951651835[/C][/ROW]
[ROW][C]0.02[/C][C]1856.18655971020[/C][C]50.3559937243512[/C][/ROW]
[ROW][C]0.03[/C][C]1886.89193053208[/C][C]85.2569248191548[/C][/ROW]
[ROW][C]0.04[/C][C]1929.32580180085[/C][C]115.608089186386[/C][/ROW]
[ROW][C]0.05[/C][C]1980.15049064772[/C][C]136.259535023206[/C][/ROW]
[ROW][C]0.06[/C][C]2034.99657305648[/C][C]146.067695174080[/C][/ROW]
[ROW][C]0.07[/C][C]2089.72039865559[/C][C]145.857471667419[/C][/ROW]
[ROW][C]0.08[/C][C]2141.12454061774[/C][C]137.551128367111[/C][/ROW]
[ROW][C]0.09[/C][C]2187.20407169907[/C][C]123.986396509781[/C][/ROW]
[ROW][C]0.1[/C][C]2227.10822993684[/C][C]108.420045747300[/C][/ROW]
[ROW][C]0.11[/C][C]2260.93430916610[/C][C]93.7483145843574[/C][/ROW]
[ROW][C]0.12[/C][C]2289.42265099522[/C][C]81.8413909206555[/C][/ROW]
[ROW][C]0.13[/C][C]2313.62658636619[/C][C]73.349554896175[/C][/ROW]
[ROW][C]0.14[/C][C]2334.63308433896[/C][C]67.9289654313171[/C][/ROW]
[ROW][C]0.15[/C][C]2353.38182563791[/C][C]64.7636400287265[/C][/ROW]
[ROW][C]0.16[/C][C]2370.58813003346[/C][C]63.0183093158656[/C][/ROW]
[ROW][C]0.17[/C][C]2386.74355360151[/C][C]62.0674511682121[/C][/ROW]
[ROW][C]0.18[/C][C]2402.15766757140[/C][C]61.5002231130375[/C][/ROW]
[ROW][C]0.19[/C][C]2417.01093002768[/C][C]61.066727183722[/C][/ROW]
[ROW][C]0.2[/C][C]2431.40139538364[/C][C]60.6336078149953[/C][/ROW]
[ROW][C]0.21[/C][C]2445.37930924169[/C][C]60.1366651132974[/C][/ROW]
[ROW][C]0.22[/C][C]2458.97025363086[/C][C]59.5493137949743[/C][/ROW]
[ROW][C]0.23[/C][C]2472.18985330268[/C][C]58.8889684474046[/C][/ROW]
[ROW][C]0.24[/C][C]2485.05291466188[/C][C]58.1936118883202[/C][/ROW]
[ROW][C]0.25[/C][C]2497.57888149178[/C][C]57.5159911411414[/C][/ROW]
[ROW][C]0.26[/C][C]2509.79459368283[/C][C]56.9122848183844[/C][/ROW]
[ROW][C]0.27[/C][C]2521.73484062361[/C][C]56.4379055599995[/C][/ROW]
[ROW][C]0.28[/C][C]2533.44107413963[/C][C]56.1371223548667[/C][/ROW]
[ROW][C]0.29[/C][C]2544.95873099293[/C][C]56.0326129391375[/C][/ROW]
[ROW][C]0.3[/C][C]2556.33375785812[/C][C]56.1201627284645[/C][/ROW]
[ROW][C]0.31[/C][C]2567.60902411135[/C][C]56.3705742684393[/C][/ROW]
[ROW][C]0.32[/C][C]2578.8212960235[/C][C]56.7438234715257[/C][/ROW]
[ROW][C]0.33[/C][C]2589.99932632139[/C][C]57.1877092350723[/C][/ROW]
[ROW][C]0.34[/C][C]2601.16341807681[/C][C]57.6536664220106[/C][/ROW]
[ROW][C]0.35[/C][C]2612.32659821994[/C][C]58.1159241857094[/C][/ROW]
[ROW][C]0.36[/C][C]2623.49732102597[/C][C]58.5503743525144[/C][/ROW]
[ROW][C]0.37[/C][C]2634.68342968077[/C][C]58.9787986506264[/C][/ROW]
[ROW][C]0.38[/C][C]2645.89692824018[/C][C]59.4278347745048[/C][/ROW]
[ROW][C]0.39[/C][C]2657.15894888212[/C][C]59.9705505867368[/C][/ROW]
[ROW][C]0.4[/C][C]2668.50415263239[/C][C]60.7063739870013[/C][/ROW]
[ROW][C]0.41[/C][C]2679.98371970084[/C][C]61.7467581692442[/C][/ROW]
[ROW][C]0.42[/C][C]2691.66613441256[/C][C]63.2154059405887[/C][/ROW]
[ROW][C]0.43[/C][C]2703.63520890256[/C][C]65.2150536261371[/C][/ROW]
[ROW][C]0.44[/C][C]2715.98523525177[/C][C]67.8025256902915[/C][/ROW]
[ROW][C]0.45[/C][C]2728.81375317289[/C][C]70.98062357652[/C][/ROW]
[ROW][C]0.46[/C][C]2742.2130426415[/C][C]74.672816450804[/C][/ROW]
[ROW][C]0.47[/C][C]2756.26192612906[/C][C]78.7352282793098[/C][/ROW]
[ROW][C]0.48[/C][C]2771.0196277029[/C][C]83.0152336609884[/C][/ROW]
[ROW][C]0.49[/C][C]2786.52318417457[/C][C]87.32610272695[/C][/ROW]
[ROW][C]0.5[/C][C]2802.78924113958[/C][C]91.544274255679[/C][/ROW]
[ROW][C]0.51[/C][C]2819.82011694646[/C][C]95.581088877595[/C][/ROW]
[ROW][C]0.52[/C][C]2837.61299618876[/C][C]99.4563546969526[/C][/ROW]
[ROW][C]0.53[/C][C]2856.17027425242[/C][C]103.247212161277[/C][/ROW]
[ROW][C]0.54[/C][C]2875.50863669104[/C][C]107.097268210013[/C][/ROW]
[ROW][C]0.55[/C][C]2895.66454926207[/C][C]111.170759648719[/C][/ROW]
[ROW][C]0.56[/C][C]2916.69445554693[/C][C]115.625706697055[/C][/ROW]
[ROW][C]0.57[/C][C]2938.66900090054[/C][C]120.538101865418[/C][/ROW]
[ROW][C]0.58[/C][C]2961.66180261433[/C][C]125.89910740871[/C][/ROW]
[ROW][C]0.59[/C][C]2985.7344082123[/C][C]131.578789852939[/C][/ROW]
[ROW][C]0.6[/C][C]3010.919892461[/C][C]137.348916391206[/C][/ROW]
[ROW][C]0.61[/C][C]3037.20787923329[/C][C]142.898656295036[/C][/ROW]
[ROW][C]0.62[/C][C]3064.53358087505[/C][C]147.8675279688[/C][/ROW]
[ROW][C]0.63[/C][C]3092.77277782675[/C][C]151.906009543395[/C][/ROW]
[ROW][C]0.64[/C][C]3121.74365946371[/C][C]154.696834438412[/C][/ROW]
[ROW][C]0.65[/C][C]3151.21531798459[/C][C]156.007933373081[/C][/ROW]
[ROW][C]0.66[/C][C]3180.92165544419[/C][C]155.707841775025[/C][/ROW]
[ROW][C]0.67[/C][C]3210.57873288719[/C][C]153.775113428937[/C][/ROW]
[ROW][C]0.68[/C][C]3239.90330260221[/C][C]150.289094929811[/C][/ROW]
[ROW][C]0.69[/C][C]3268.63046959328[/C][C]145.422825286575[/C][/ROW]
[ROW][C]0.7[/C][C]3296.52906292438[/C][C]139.415516451265[/C][/ROW]
[ROW][C]0.71[/C][C]3323.41418234153[/C][C]132.555548972531[/C][/ROW]
[ROW][C]0.72[/C][C]3349.15724894480[/C][C]125.150260276432[/C][/ROW]
[ROW][C]0.73[/C][C]3373.69442252688[/C][C]117.521210340709[/C][/ROW]
[ROW][C]0.74[/C][C]3397.03419574324[/C][C]110.018907149099[/C][/ROW]
[ROW][C]0.75[/C][C]3419.26423826546[/C][C]102.998899623884[/C][/ROW]
[ROW][C]0.76[/C][C]3440.55629803289[/C][C]96.8547467036313[/C][/ROW]
[ROW][C]0.77[/C][C]3461.1666170818[/C][C]91.9947903588868[/C][/ROW]
[ROW][C]0.78[/C][C]3481.4285483222[/C][C]88.793929989618[/C][/ROW]
[ROW][C]0.79[/C][C]3501.73453803189[/C][C]87.5321209748504[/C][/ROW]
[ROW][C]0.8[/C][C]3522.50673640886[/C][C]88.2843946383813[/C][/ROW]
[ROW][C]0.81[/C][C]3544.15898109403[/C][C]90.8502607015327[/C][/ROW]
[ROW][C]0.82[/C][C]3567.05680132756[/C][C]94.767196274805[/C][/ROW]
[ROW][C]0.83[/C][C]3591.4849171106[/C][C]99.4135037286803[/C][/ROW]
[ROW][C]0.84[/C][C]3617.63197362989[/C][C]104.146764910531[/C][/ROW]
[ROW][C]0.85[/C][C]3645.59916682961[/C][C]108.463573009352[/C][/ROW]
[ROW][C]0.86[/C][C]3675.43333280582[/C][C]112.091299810719[/C][/ROW]
[ROW][C]0.87[/C][C]3707.17737984527[/C][C]115.022718103443[/C][/ROW]
[ROW][C]0.88[/C][C]3740.92354077695[/C][C]117.490559533068[/C][/ROW]
[ROW][C]0.89[/C][C]3776.85005137074[/C][C]119.848794765167[/C][/ROW]
[ROW][C]0.9[/C][C]3815.22305719169[/C][C]122.396179157374[/C][/ROW]
[ROW][C]0.91[/C][C]3856.35894101824[/C][C]125.161350763123[/C][/ROW]
[ROW][C]0.92[/C][C]3900.57378776753[/C][C]127.723246804671[/C][/ROW]
[ROW][C]0.93[/C][C]3948.18919992706[/C][C]129.282992035709[/C][/ROW]
[ROW][C]0.94[/C][C]3999.67605695283[/C][C]129.255374621673[/C][/ROW]
[ROW][C]0.95[/C][C]4055.91928563433[/C][C]128.260934759459[/C][/ROW]
[ROW][C]0.96[/C][C]4118.29693230594[/C][C]128.157543057722[/C][/ROW]
[ROW][C]0.97[/C][C]4187.79838970733[/C][C]129.108786007161[/C][/ROW]
[ROW][C]0.98[/C][C]4262.09573916639[/C][C]126.977005776702[/C][/ROW]
[ROW][C]0.99[/C][C]4330.7141622589[/C][C]120.076860910886[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9196&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9196&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
0.011838.1832488305520.9307951651835
0.021856.1865597102050.3559937243512
0.031886.8919305320885.2569248191548
0.041929.32580180085115.608089186386
0.051980.15049064772136.259535023206
0.062034.99657305648146.067695174080
0.072089.72039865559145.857471667419
0.082141.12454061774137.551128367111
0.092187.20407169907123.986396509781
0.12227.10822993684108.420045747300
0.112260.9343091661093.7483145843574
0.122289.4226509952281.8413909206555
0.132313.6265863661973.349554896175
0.142334.6330843389667.9289654313171
0.152353.3818256379164.7636400287265
0.162370.5881300334663.0183093158656
0.172386.7435536015162.0674511682121
0.182402.1576675714061.5002231130375
0.192417.0109300276861.066727183722
0.22431.4013953836460.6336078149953
0.212445.3793092416960.1366651132974
0.222458.9702536308659.5493137949743
0.232472.1898533026858.8889684474046
0.242485.0529146618858.1936118883202
0.252497.5788814917857.5159911411414
0.262509.7945936828356.9122848183844
0.272521.7348406236156.4379055599995
0.282533.4410741396356.1371223548667
0.292544.9587309929356.0326129391375
0.32556.3337578581256.1201627284645
0.312567.6090241113556.3705742684393
0.322578.821296023556.7438234715257
0.332589.9993263213957.1877092350723
0.342601.1634180768157.6536664220106
0.352612.3265982199458.1159241857094
0.362623.4973210259758.5503743525144
0.372634.6834296807758.9787986506264
0.382645.8969282401859.4278347745048
0.392657.1589488821259.9705505867368
0.42668.5041526323960.7063739870013
0.412679.9837197008461.7467581692442
0.422691.6661344125663.2154059405887
0.432703.6352089025665.2150536261371
0.442715.9852352517767.8025256902915
0.452728.8137531728970.98062357652
0.462742.213042641574.672816450804
0.472756.2619261290678.7352282793098
0.482771.019627702983.0152336609884
0.492786.5231841745787.32610272695
0.52802.7892411395891.544274255679
0.512819.8201169464695.581088877595
0.522837.6129961887699.4563546969526
0.532856.17027425242103.247212161277
0.542875.50863669104107.097268210013
0.552895.66454926207111.170759648719
0.562916.69445554693115.625706697055
0.572938.66900090054120.538101865418
0.582961.66180261433125.89910740871
0.592985.7344082123131.578789852939
0.63010.919892461137.348916391206
0.613037.20787923329142.898656295036
0.623064.53358087505147.8675279688
0.633092.77277782675151.906009543395
0.643121.74365946371154.696834438412
0.653151.21531798459156.007933373081
0.663180.92165544419155.707841775025
0.673210.57873288719153.775113428937
0.683239.90330260221150.289094929811
0.693268.63046959328145.422825286575
0.73296.52906292438139.415516451265
0.713323.41418234153132.555548972531
0.723349.15724894480125.150260276432
0.733373.69442252688117.521210340709
0.743397.03419574324110.018907149099
0.753419.26423826546102.998899623884
0.763440.5562980328996.8547467036313
0.773461.166617081891.9947903588868
0.783481.428548322288.793929989618
0.793501.7345380318987.5321209748504
0.83522.5067364088688.2843946383813
0.813544.1589810940390.8502607015327
0.823567.0568013275694.767196274805
0.833591.484917110699.4135037286803
0.843617.63197362989104.146764910531
0.853645.59916682961108.463573009352
0.863675.43333280582112.091299810719
0.873707.17737984527115.022718103443
0.883740.92354077695117.490559533068
0.893776.85005137074119.848794765167
0.93815.22305719169122.396179157374
0.913856.35894101824125.161350763123
0.923900.57378776753127.723246804671
0.933948.18919992706129.282992035709
0.943999.67605695283129.255374621673
0.954055.91928563433128.260934759459
0.964118.29693230594128.157543057722
0.974187.79838970733129.108786007161
0.984262.09573916639126.977005776702
0.994330.7141622589120.076860910886


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')