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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 computationSun, 05 Oct 2014 21:23:34 +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/05/t1412540689cv51qqsaz5xyy94.htm/, Retrieved Sat, 11 May 2024 18:01:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238915, Retrieved Sat, 11 May 2024 18:01:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact68

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 Werk...] [2014-10-05 20:23:34] [be7d2a6a6c016378f31f309d9b06695b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
71
77
76
69
74
101
105
73
68
65
70
65
80
92
93
90
96
125
134
100
97
97
101
90
108
113
112
103
103
125
128
91
84
83
83
69
77
83
78
70
75
101
117
80
87
81
78
73
93
105
102
97
100
127
138
107
107
106
109
107
129
138
137
134
134
166
180
131
135
127
121
116

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238915&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238915&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238915&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0165.26473603415560.781463988606502
0.0265.85661959589131.53078056705839
0.0366.66730781427611.81058276036816
0.0467.52166443739261.70715386152892
0.0568.29958723956341.49972317768963
0.0668.96967728720261.38967288063804
0.0769.55908355900841.42828916734505
0.0870.11185291168091.56997842320432
0.0970.66323039620051.75210475956283
0.171.23181815231871.9294397130942
0.1171.8219058837922.07699453475873
0.1272.42902561777772.18570072426634
0.1373.04508658727372.25748390332765
0.1473.66189200063332.29996949479557
0.1574.27304038359142.32263819948247
0.1674.87464191307752.33499521042951
0.1775.46533055706372.34559450507188
0.1876.04593968314942.36272159628592
0.1976.61905456059682.39332219488295
0.277.18853506765042.44275925044114
0.2177.75904435382442.51415244485467
0.2278.33561034380832.60822192020182
0.2378.92325307568142.72395183886332
0.2479.52670464142762.85939375457775
0.2580.15022333990333.01256410016388
0.2680.79747164859943.18134022803369
0.2781.47140751797223.36336691627465
0.2882.1741430043213.55481828618727
0.2982.9067532344713.75014839391935
0.383.66905989813963.94168577710843
0.3184.45944889284334.12021967123235
0.3285.27479578072314.27603732191861
0.3386.11055846802654.40062345008692
0.3486.96105815767734.48803192924169
0.3587.81992026742214.53568036334376
0.3688.68060339761454.54469286647994
0.3789.53692073269424.51966615162348
0.3890.38346128289154.46680613349398
0.3991.21584588142694.39332559749368
0.492.03079518483714.30598365674148
0.4192.82603095327364.20981400665291
0.4293.60006559851064.10777630478783
0.4394.35195097341434.00124357090657
0.4495.08105424307443.89035640681911
0.4595.78691028841383.774765363822
0.4696.46917338916783.65441175997244
0.4797.12766339896253.53007577980884
0.4897.76247932080893.40369571913926
0.4998.3741397984483.27807547482921
0.598.96370684540443.15739404218108
0.5199.53285554815933.04582469247752
0.52100.0838666259942.94746153238985
0.53100.6195378509972.8657000302662
0.54101.1430310041232.80247414696043
0.55101.6576893821182.75838151356053
0.56102.1668729306242.73226213429974
0.57102.6738605335392.72228079920168
0.58103.1818599697522.72670081516462
0.59103.6941458935952.74482864005642
0.6104.2143177990012.77799547996586
0.61104.746638480032.83036702307795
0.62105.2963855725652.90865125654219
0.63105.8701308881763.02129113386555
0.64106.4758593460473.1771347298977
0.65107.1228533521583.38362455087658
0.66107.8212978946063.6444249373724
0.67108.5816016593573.95784226396777
0.68109.4134734982194.31662406677318
0.69110.3248349980054.70689354013066
0.7111.3206838286515.1098997599014
0.71112.4020465265165.50235172067204
0.72113.5651725269855.85852954825678
0.73114.8011222047636.15205835035545
0.74116.0958862154866.3585550245768
0.75117.4311338369876.45900968031583
0.76118.7856154050216.44215958478159
0.77120.1371341151416.30740084407152
0.78121.4648636099116.06626923097365
0.79122.7516467171555.7418955908694
0.8123.9858133133935.36652988222311
0.81125.1620573842464.97701069753254
0.82126.28106113714.60732013401396
0.83127.3478571724734.28098731105169
0.84128.3693261550594.00496308398292
0.85129.3516150214173.76856316967796
0.86130.2984664441113.54935816509508
0.87131.2113552357433.32549422287464
0.88132.0919985583623.08758844117486
0.89132.9476412686612.84779870081609
0.9133.800225589562.64384786700169
0.91134.702653172532.54497901074016
0.92135.7677916957712.68270768452219
0.93137.2140544492093.32413331901654
0.94139.4167384764474.88581496901373
0.95142.9204716375567.71010994562764
0.96148.32575571202711.6244696908874
0.97155.95160893168515.4394340839766
0.98165.25985760963217.1157003350726
0.99174.29809200581915.7550859402947

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 65.2647360341556 & 0.781463988606502 \tabularnewline
0.02 & 65.8566195958913 & 1.53078056705839 \tabularnewline
0.03 & 66.6673078142761 & 1.81058276036816 \tabularnewline
0.04 & 67.5216644373926 & 1.70715386152892 \tabularnewline
0.05 & 68.2995872395634 & 1.49972317768963 \tabularnewline
0.06 & 68.9696772872026 & 1.38967288063804 \tabularnewline
0.07 & 69.5590835590084 & 1.42828916734505 \tabularnewline
0.08 & 70.1118529116809 & 1.56997842320432 \tabularnewline
0.09 & 70.6632303962005 & 1.75210475956283 \tabularnewline
0.1 & 71.2318181523187 & 1.9294397130942 \tabularnewline
0.11 & 71.821905883792 & 2.07699453475873 \tabularnewline
0.12 & 72.4290256177777 & 2.18570072426634 \tabularnewline
0.13 & 73.0450865872737 & 2.25748390332765 \tabularnewline
0.14 & 73.6618920006333 & 2.29996949479557 \tabularnewline
0.15 & 74.2730403835914 & 2.32263819948247 \tabularnewline
0.16 & 74.8746419130775 & 2.33499521042951 \tabularnewline
0.17 & 75.4653305570637 & 2.34559450507188 \tabularnewline
0.18 & 76.0459396831494 & 2.36272159628592 \tabularnewline
0.19 & 76.6190545605968 & 2.39332219488295 \tabularnewline
0.2 & 77.1885350676504 & 2.44275925044114 \tabularnewline
0.21 & 77.7590443538244 & 2.51415244485467 \tabularnewline
0.22 & 78.3356103438083 & 2.60822192020182 \tabularnewline
0.23 & 78.9232530756814 & 2.72395183886332 \tabularnewline
0.24 & 79.5267046414276 & 2.85939375457775 \tabularnewline
0.25 & 80.1502233399033 & 3.01256410016388 \tabularnewline
0.26 & 80.7974716485994 & 3.18134022803369 \tabularnewline
0.27 & 81.4714075179722 & 3.36336691627465 \tabularnewline
0.28 & 82.174143004321 & 3.55481828618727 \tabularnewline
0.29 & 82.906753234471 & 3.75014839391935 \tabularnewline
0.3 & 83.6690598981396 & 3.94168577710843 \tabularnewline
0.31 & 84.4594488928433 & 4.12021967123235 \tabularnewline
0.32 & 85.2747957807231 & 4.27603732191861 \tabularnewline
0.33 & 86.1105584680265 & 4.40062345008692 \tabularnewline
0.34 & 86.9610581576773 & 4.48803192924169 \tabularnewline
0.35 & 87.8199202674221 & 4.53568036334376 \tabularnewline
0.36 & 88.6806033976145 & 4.54469286647994 \tabularnewline
0.37 & 89.5369207326942 & 4.51966615162348 \tabularnewline
0.38 & 90.3834612828915 & 4.46680613349398 \tabularnewline
0.39 & 91.2158458814269 & 4.39332559749368 \tabularnewline
0.4 & 92.0307951848371 & 4.30598365674148 \tabularnewline
0.41 & 92.8260309532736 & 4.20981400665291 \tabularnewline
0.42 & 93.6000655985106 & 4.10777630478783 \tabularnewline
0.43 & 94.3519509734143 & 4.00124357090657 \tabularnewline
0.44 & 95.0810542430744 & 3.89035640681911 \tabularnewline
0.45 & 95.7869102884138 & 3.774765363822 \tabularnewline
0.46 & 96.4691733891678 & 3.65441175997244 \tabularnewline
0.47 & 97.1276633989625 & 3.53007577980884 \tabularnewline
0.48 & 97.7624793208089 & 3.40369571913926 \tabularnewline
0.49 & 98.374139798448 & 3.27807547482921 \tabularnewline
0.5 & 98.9637068454044 & 3.15739404218108 \tabularnewline
0.51 & 99.5328555481593 & 3.04582469247752 \tabularnewline
0.52 & 100.083866625994 & 2.94746153238985 \tabularnewline
0.53 & 100.619537850997 & 2.8657000302662 \tabularnewline
0.54 & 101.143031004123 & 2.80247414696043 \tabularnewline
0.55 & 101.657689382118 & 2.75838151356053 \tabularnewline
0.56 & 102.166872930624 & 2.73226213429974 \tabularnewline
0.57 & 102.673860533539 & 2.72228079920168 \tabularnewline
0.58 & 103.181859969752 & 2.72670081516462 \tabularnewline
0.59 & 103.694145893595 & 2.74482864005642 \tabularnewline
0.6 & 104.214317799001 & 2.77799547996586 \tabularnewline
0.61 & 104.74663848003 & 2.83036702307795 \tabularnewline
0.62 & 105.296385572565 & 2.90865125654219 \tabularnewline
0.63 & 105.870130888176 & 3.02129113386555 \tabularnewline
0.64 & 106.475859346047 & 3.1771347298977 \tabularnewline
0.65 & 107.122853352158 & 3.38362455087658 \tabularnewline
0.66 & 107.821297894606 & 3.6444249373724 \tabularnewline
0.67 & 108.581601659357 & 3.95784226396777 \tabularnewline
0.68 & 109.413473498219 & 4.31662406677318 \tabularnewline
0.69 & 110.324834998005 & 4.70689354013066 \tabularnewline
0.7 & 111.320683828651 & 5.1098997599014 \tabularnewline
0.71 & 112.402046526516 & 5.50235172067204 \tabularnewline
0.72 & 113.565172526985 & 5.85852954825678 \tabularnewline
0.73 & 114.801122204763 & 6.15205835035545 \tabularnewline
0.74 & 116.095886215486 & 6.3585550245768 \tabularnewline
0.75 & 117.431133836987 & 6.45900968031583 \tabularnewline
0.76 & 118.785615405021 & 6.44215958478159 \tabularnewline
0.77 & 120.137134115141 & 6.30740084407152 \tabularnewline
0.78 & 121.464863609911 & 6.06626923097365 \tabularnewline
0.79 & 122.751646717155 & 5.7418955908694 \tabularnewline
0.8 & 123.985813313393 & 5.36652988222311 \tabularnewline
0.81 & 125.162057384246 & 4.97701069753254 \tabularnewline
0.82 & 126.2810611371 & 4.60732013401396 \tabularnewline
0.83 & 127.347857172473 & 4.28098731105169 \tabularnewline
0.84 & 128.369326155059 & 4.00496308398292 \tabularnewline
0.85 & 129.351615021417 & 3.76856316967796 \tabularnewline
0.86 & 130.298466444111 & 3.54935816509508 \tabularnewline
0.87 & 131.211355235743 & 3.32549422287464 \tabularnewline
0.88 & 132.091998558362 & 3.08758844117486 \tabularnewline
0.89 & 132.947641268661 & 2.84779870081609 \tabularnewline
0.9 & 133.80022558956 & 2.64384786700169 \tabularnewline
0.91 & 134.70265317253 & 2.54497901074016 \tabularnewline
0.92 & 135.767791695771 & 2.68270768452219 \tabularnewline
0.93 & 137.214054449209 & 3.32413331901654 \tabularnewline
0.94 & 139.416738476447 & 4.88581496901373 \tabularnewline
0.95 & 142.920471637556 & 7.71010994562764 \tabularnewline
0.96 & 148.325755712027 & 11.6244696908874 \tabularnewline
0.97 & 155.951608931685 & 15.4394340839766 \tabularnewline
0.98 & 165.259857609632 & 17.1157003350726 \tabularnewline
0.99 & 174.298092005819 & 15.7550859402947 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238915&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]65.2647360341556[/C][C]0.781463988606502[/C][/ROW]
[ROW][C]0.02[/C][C]65.8566195958913[/C][C]1.53078056705839[/C][/ROW]
[ROW][C]0.03[/C][C]66.6673078142761[/C][C]1.81058276036816[/C][/ROW]
[ROW][C]0.04[/C][C]67.5216644373926[/C][C]1.70715386152892[/C][/ROW]
[ROW][C]0.05[/C][C]68.2995872395634[/C][C]1.49972317768963[/C][/ROW]
[ROW][C]0.06[/C][C]68.9696772872026[/C][C]1.38967288063804[/C][/ROW]
[ROW][C]0.07[/C][C]69.5590835590084[/C][C]1.42828916734505[/C][/ROW]
[ROW][C]0.08[/C][C]70.1118529116809[/C][C]1.56997842320432[/C][/ROW]
[ROW][C]0.09[/C][C]70.6632303962005[/C][C]1.75210475956283[/C][/ROW]
[ROW][C]0.1[/C][C]71.2318181523187[/C][C]1.9294397130942[/C][/ROW]
[ROW][C]0.11[/C][C]71.821905883792[/C][C]2.07699453475873[/C][/ROW]
[ROW][C]0.12[/C][C]72.4290256177777[/C][C]2.18570072426634[/C][/ROW]
[ROW][C]0.13[/C][C]73.0450865872737[/C][C]2.25748390332765[/C][/ROW]
[ROW][C]0.14[/C][C]73.6618920006333[/C][C]2.29996949479557[/C][/ROW]
[ROW][C]0.15[/C][C]74.2730403835914[/C][C]2.32263819948247[/C][/ROW]
[ROW][C]0.16[/C][C]74.8746419130775[/C][C]2.33499521042951[/C][/ROW]
[ROW][C]0.17[/C][C]75.4653305570637[/C][C]2.34559450507188[/C][/ROW]
[ROW][C]0.18[/C][C]76.0459396831494[/C][C]2.36272159628592[/C][/ROW]
[ROW][C]0.19[/C][C]76.6190545605968[/C][C]2.39332219488295[/C][/ROW]
[ROW][C]0.2[/C][C]77.1885350676504[/C][C]2.44275925044114[/C][/ROW]
[ROW][C]0.21[/C][C]77.7590443538244[/C][C]2.51415244485467[/C][/ROW]
[ROW][C]0.22[/C][C]78.3356103438083[/C][C]2.60822192020182[/C][/ROW]
[ROW][C]0.23[/C][C]78.9232530756814[/C][C]2.72395183886332[/C][/ROW]
[ROW][C]0.24[/C][C]79.5267046414276[/C][C]2.85939375457775[/C][/ROW]
[ROW][C]0.25[/C][C]80.1502233399033[/C][C]3.01256410016388[/C][/ROW]
[ROW][C]0.26[/C][C]80.7974716485994[/C][C]3.18134022803369[/C][/ROW]
[ROW][C]0.27[/C][C]81.4714075179722[/C][C]3.36336691627465[/C][/ROW]
[ROW][C]0.28[/C][C]82.174143004321[/C][C]3.55481828618727[/C][/ROW]
[ROW][C]0.29[/C][C]82.906753234471[/C][C]3.75014839391935[/C][/ROW]
[ROW][C]0.3[/C][C]83.6690598981396[/C][C]3.94168577710843[/C][/ROW]
[ROW][C]0.31[/C][C]84.4594488928433[/C][C]4.12021967123235[/C][/ROW]
[ROW][C]0.32[/C][C]85.2747957807231[/C][C]4.27603732191861[/C][/ROW]
[ROW][C]0.33[/C][C]86.1105584680265[/C][C]4.40062345008692[/C][/ROW]
[ROW][C]0.34[/C][C]86.9610581576773[/C][C]4.48803192924169[/C][/ROW]
[ROW][C]0.35[/C][C]87.8199202674221[/C][C]4.53568036334376[/C][/ROW]
[ROW][C]0.36[/C][C]88.6806033976145[/C][C]4.54469286647994[/C][/ROW]
[ROW][C]0.37[/C][C]89.5369207326942[/C][C]4.51966615162348[/C][/ROW]
[ROW][C]0.38[/C][C]90.3834612828915[/C][C]4.46680613349398[/C][/ROW]
[ROW][C]0.39[/C][C]91.2158458814269[/C][C]4.39332559749368[/C][/ROW]
[ROW][C]0.4[/C][C]92.0307951848371[/C][C]4.30598365674148[/C][/ROW]
[ROW][C]0.41[/C][C]92.8260309532736[/C][C]4.20981400665291[/C][/ROW]
[ROW][C]0.42[/C][C]93.6000655985106[/C][C]4.10777630478783[/C][/ROW]
[ROW][C]0.43[/C][C]94.3519509734143[/C][C]4.00124357090657[/C][/ROW]
[ROW][C]0.44[/C][C]95.0810542430744[/C][C]3.89035640681911[/C][/ROW]
[ROW][C]0.45[/C][C]95.7869102884138[/C][C]3.774765363822[/C][/ROW]
[ROW][C]0.46[/C][C]96.4691733891678[/C][C]3.65441175997244[/C][/ROW]
[ROW][C]0.47[/C][C]97.1276633989625[/C][C]3.53007577980884[/C][/ROW]
[ROW][C]0.48[/C][C]97.7624793208089[/C][C]3.40369571913926[/C][/ROW]
[ROW][C]0.49[/C][C]98.374139798448[/C][C]3.27807547482921[/C][/ROW]
[ROW][C]0.5[/C][C]98.9637068454044[/C][C]3.15739404218108[/C][/ROW]
[ROW][C]0.51[/C][C]99.5328555481593[/C][C]3.04582469247752[/C][/ROW]
[ROW][C]0.52[/C][C]100.083866625994[/C][C]2.94746153238985[/C][/ROW]
[ROW][C]0.53[/C][C]100.619537850997[/C][C]2.8657000302662[/C][/ROW]
[ROW][C]0.54[/C][C]101.143031004123[/C][C]2.80247414696043[/C][/ROW]
[ROW][C]0.55[/C][C]101.657689382118[/C][C]2.75838151356053[/C][/ROW]
[ROW][C]0.56[/C][C]102.166872930624[/C][C]2.73226213429974[/C][/ROW]
[ROW][C]0.57[/C][C]102.673860533539[/C][C]2.72228079920168[/C][/ROW]
[ROW][C]0.58[/C][C]103.181859969752[/C][C]2.72670081516462[/C][/ROW]
[ROW][C]0.59[/C][C]103.694145893595[/C][C]2.74482864005642[/C][/ROW]
[ROW][C]0.6[/C][C]104.214317799001[/C][C]2.77799547996586[/C][/ROW]
[ROW][C]0.61[/C][C]104.74663848003[/C][C]2.83036702307795[/C][/ROW]
[ROW][C]0.62[/C][C]105.296385572565[/C][C]2.90865125654219[/C][/ROW]
[ROW][C]0.63[/C][C]105.870130888176[/C][C]3.02129113386555[/C][/ROW]
[ROW][C]0.64[/C][C]106.475859346047[/C][C]3.1771347298977[/C][/ROW]
[ROW][C]0.65[/C][C]107.122853352158[/C][C]3.38362455087658[/C][/ROW]
[ROW][C]0.66[/C][C]107.821297894606[/C][C]3.6444249373724[/C][/ROW]
[ROW][C]0.67[/C][C]108.581601659357[/C][C]3.95784226396777[/C][/ROW]
[ROW][C]0.68[/C][C]109.413473498219[/C][C]4.31662406677318[/C][/ROW]
[ROW][C]0.69[/C][C]110.324834998005[/C][C]4.70689354013066[/C][/ROW]
[ROW][C]0.7[/C][C]111.320683828651[/C][C]5.1098997599014[/C][/ROW]
[ROW][C]0.71[/C][C]112.402046526516[/C][C]5.50235172067204[/C][/ROW]
[ROW][C]0.72[/C][C]113.565172526985[/C][C]5.85852954825678[/C][/ROW]
[ROW][C]0.73[/C][C]114.801122204763[/C][C]6.15205835035545[/C][/ROW]
[ROW][C]0.74[/C][C]116.095886215486[/C][C]6.3585550245768[/C][/ROW]
[ROW][C]0.75[/C][C]117.431133836987[/C][C]6.45900968031583[/C][/ROW]
[ROW][C]0.76[/C][C]118.785615405021[/C][C]6.44215958478159[/C][/ROW]
[ROW][C]0.77[/C][C]120.137134115141[/C][C]6.30740084407152[/C][/ROW]
[ROW][C]0.78[/C][C]121.464863609911[/C][C]6.06626923097365[/C][/ROW]
[ROW][C]0.79[/C][C]122.751646717155[/C][C]5.7418955908694[/C][/ROW]
[ROW][C]0.8[/C][C]123.985813313393[/C][C]5.36652988222311[/C][/ROW]
[ROW][C]0.81[/C][C]125.162057384246[/C][C]4.97701069753254[/C][/ROW]
[ROW][C]0.82[/C][C]126.2810611371[/C][C]4.60732013401396[/C][/ROW]
[ROW][C]0.83[/C][C]127.347857172473[/C][C]4.28098731105169[/C][/ROW]
[ROW][C]0.84[/C][C]128.369326155059[/C][C]4.00496308398292[/C][/ROW]
[ROW][C]0.85[/C][C]129.351615021417[/C][C]3.76856316967796[/C][/ROW]
[ROW][C]0.86[/C][C]130.298466444111[/C][C]3.54935816509508[/C][/ROW]
[ROW][C]0.87[/C][C]131.211355235743[/C][C]3.32549422287464[/C][/ROW]
[ROW][C]0.88[/C][C]132.091998558362[/C][C]3.08758844117486[/C][/ROW]
[ROW][C]0.89[/C][C]132.947641268661[/C][C]2.84779870081609[/C][/ROW]
[ROW][C]0.9[/C][C]133.80022558956[/C][C]2.64384786700169[/C][/ROW]
[ROW][C]0.91[/C][C]134.70265317253[/C][C]2.54497901074016[/C][/ROW]
[ROW][C]0.92[/C][C]135.767791695771[/C][C]2.68270768452219[/C][/ROW]
[ROW][C]0.93[/C][C]137.214054449209[/C][C]3.32413331901654[/C][/ROW]
[ROW][C]0.94[/C][C]139.416738476447[/C][C]4.88581496901373[/C][/ROW]
[ROW][C]0.95[/C][C]142.920471637556[/C][C]7.71010994562764[/C][/ROW]
[ROW][C]0.96[/C][C]148.325755712027[/C][C]11.6244696908874[/C][/ROW]
[ROW][C]0.97[/C][C]155.951608931685[/C][C]15.4394340839766[/C][/ROW]
[ROW][C]0.98[/C][C]165.259857609632[/C][C]17.1157003350726[/C][/ROW]
[ROW][C]0.99[/C][C]174.298092005819[/C][C]15.7550859402947[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238915&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238915&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
0.0165.26473603415560.781463988606502
0.0265.85661959589131.53078056705839
0.0366.66730781427611.81058276036816
0.0467.52166443739261.70715386152892
0.0568.29958723956341.49972317768963
0.0668.96967728720261.38967288063804
0.0769.55908355900841.42828916734505
0.0870.11185291168091.56997842320432
0.0970.66323039620051.75210475956283
0.171.23181815231871.9294397130942
0.1171.8219058837922.07699453475873
0.1272.42902561777772.18570072426634
0.1373.04508658727372.25748390332765
0.1473.66189200063332.29996949479557
0.1574.27304038359142.32263819948247
0.1674.87464191307752.33499521042951
0.1775.46533055706372.34559450507188
0.1876.04593968314942.36272159628592
0.1976.61905456059682.39332219488295
0.277.18853506765042.44275925044114
0.2177.75904435382442.51415244485467
0.2278.33561034380832.60822192020182
0.2378.92325307568142.72395183886332
0.2479.52670464142762.85939375457775
0.2580.15022333990333.01256410016388
0.2680.79747164859943.18134022803369
0.2781.47140751797223.36336691627465
0.2882.1741430043213.55481828618727
0.2982.9067532344713.75014839391935
0.383.66905989813963.94168577710843
0.3184.45944889284334.12021967123235
0.3285.27479578072314.27603732191861
0.3386.11055846802654.40062345008692
0.3486.96105815767734.48803192924169
0.3587.81992026742214.53568036334376
0.3688.68060339761454.54469286647994
0.3789.53692073269424.51966615162348
0.3890.38346128289154.46680613349398
0.3991.21584588142694.39332559749368
0.492.03079518483714.30598365674148
0.4192.82603095327364.20981400665291
0.4293.60006559851064.10777630478783
0.4394.35195097341434.00124357090657
0.4495.08105424307443.89035640681911
0.4595.78691028841383.774765363822
0.4696.46917338916783.65441175997244
0.4797.12766339896253.53007577980884
0.4897.76247932080893.40369571913926
0.4998.3741397984483.27807547482921
0.598.96370684540443.15739404218108
0.5199.53285554815933.04582469247752
0.52100.0838666259942.94746153238985
0.53100.6195378509972.8657000302662
0.54101.1430310041232.80247414696043
0.55101.6576893821182.75838151356053
0.56102.1668729306242.73226213429974
0.57102.6738605335392.72228079920168
0.58103.1818599697522.72670081516462
0.59103.6941458935952.74482864005642
0.6104.2143177990012.77799547996586
0.61104.746638480032.83036702307795
0.62105.2963855725652.90865125654219
0.63105.8701308881763.02129113386555
0.64106.4758593460473.1771347298977
0.65107.1228533521583.38362455087658
0.66107.8212978946063.6444249373724
0.67108.5816016593573.95784226396777
0.68109.4134734982194.31662406677318
0.69110.3248349980054.70689354013066
0.7111.3206838286515.1098997599014
0.71112.4020465265165.50235172067204
0.72113.5651725269855.85852954825678
0.73114.8011222047636.15205835035545
0.74116.0958862154866.3585550245768
0.75117.4311338369876.45900968031583
0.76118.7856154050216.44215958478159
0.77120.1371341151416.30740084407152
0.78121.4648636099116.06626923097365
0.79122.7516467171555.7418955908694
0.8123.9858133133935.36652988222311
0.81125.1620573842464.97701069753254
0.82126.28106113714.60732013401396
0.83127.3478571724734.28098731105169
0.84128.3693261550594.00496308398292
0.85129.3516150214173.76856316967796
0.86130.2984664441113.54935816509508
0.87131.2113552357433.32549422287464
0.88132.0919985583623.08758844117486
0.89132.9476412686612.84779870081609
0.9133.800225589562.64384786700169
0.91134.702653172532.54497901074016
0.92135.7677916957712.68270768452219
0.93137.2140544492093.32413331901654
0.94139.4167384764474.88581496901373
0.95142.9204716375567.71010994562764
0.96148.32575571202711.6244696908874
0.97155.95160893168515.4394340839766
0.98165.25985760963217.1157003350726
0.99174.29809200581915.7550859402947


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')