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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 10 Mar 2010 12:36:07 -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/2010/Mar/10/t1268249793b4esfo3vxq285jg.htm/, Retrieved Fri, 28 Jan 2022 08:08:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74311, Retrieved Fri, 28 Jan 2022 08:08:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact85
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [KDGP1W42] [2010-03-10 19:36:07] [850dbf9e683f79d78a1e8310559edb6e] [Current]
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Dataseries X:
306
303
344
254
309
310
379
294
356
318
405
545
268
243
273
273
236
222
302
285
309
322
362
471
198
253
173
186
185
105
228
214
189
270
277
378
185
182
258
179
197
168
250
211
260
234
305
347
203
217
227
242
185
175
252
319
202
254
336
431
150
280
187
279
193
227
225
205
259
254
275
394
159
230
188
195
189
220
274




Summary of computational 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 computational 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=74311&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]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=74311&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74311&T=0

As an alternative you can also use a 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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.01118.71768177186234.5596990717673
0.02136.35283081616022.9174222266132
0.03150.52074806505915.1251220639833
0.04160.01824725860811.1872809908646
0.05166.2860121519919.14047778044053
0.06170.7150453062597.823039188221
0.07174.0884276500526.84618548691268
0.08176.7857598611086.05331115510352
0.09178.9974598506055.34742619275321
0.1180.8324181319314.69114361363316
0.11182.3659590742124.10548283532570
0.12183.6627419389493.64550886661779
0.13184.7864549517443.36730823229525
0.14185.8009586592023.30117552001682
0.15186.7669149236883.44050205943968
0.16187.7374890278503.75018991425278
0.17188.7553457592484.18576636305798
0.18189.8516520929114.70531553526359
0.19191.0467973701895.27440970849366
0.2192.3521512051245.86670088455388
0.21193.7721880187886.46394575825089
0.22195.3064723673627.05421423418972
0.23196.9511844477407.6287240140112
0.24198.7000366322458.17949549251544
0.25200.5445964731238.69615730416539
0.26202.4741851324239.16497472196534
0.27204.4756342197799.56850755371936
0.28206.5332229801089.88963301960056
0.29208.62906332308310.1141614579204
0.3210.74406453713310.235277655656
0.31212.85943189184810.2571431060645
0.32214.95848457911710.1932327408093
0.33217.02846343195110.0696266064238
0.34219.0619640787039.91881790255218
0.35221.0576807815029.77696752501202
0.36223.0202651073349.67771670100233
0.37224.9592643800059.6467132695945
0.38226.8872751271389.6957625537064
0.39228.8175949579239.82155385741121
0.4230.76175617044010.0043790769310
0.41232.72735786654810.2131946451398
0.42234.71657306540610.4106738863413
0.43236.72559803513910.5595971704309
0.44238.74514986488110.6299250699321
0.45240.76193259152110.6033235133514
0.46242.76081558366110.4761017396356
0.47244.72733421992510.2597467530296
0.48246.6500596222479.97977278883538
0.49248.5224064097849.67095653821123
0.5250.3435540107559.37182224178347
0.51252.1183299076639.11783500048869
0.52253.8561099001578.9344093480014
0.53255.5689901819478.83245593043478
0.54257.2696373527158.8073073510835
0.55258.9692920431588.83945121025875
0.56260.676371617338.90367297964463
0.57262.3959893685698.9740738351145
0.58264.1305042761559.03138981006699
0.59265.8809762900279.070241450115
0.6267.6491766120839.10033826032478
0.61269.4396402184269.14422641389633
0.62271.2611890029079.23511238270286
0.63273.1274203988089.40772004314461
0.64275.0558463467479.68798433241162
0.65277.06565347888410.0817867407680
0.66279.17438635720910.5719646292175
0.67281.39416377270211.1156385382742
0.68283.72825028513811.6526871586145
0.69286.16885801523612.1138027486092
0.7288.69691088740212.4346022893212
0.71291.28417073721212.5690667817555
0.72293.89765652520912.4992692881256
0.73296.50578139445212.2419846877332
0.74299.08520539728911.8505800502356
0.75301.62716082456111.4094390622633
0.76304.14201489322511.0241450650637
0.77306.66109165086710.8054922329104
0.78309.23522478132410.8473411639333
0.79311.93006847303911.2064486484841
0.8314.818769481111.8886931868354
0.81317.97313191609612.8462936826668
0.82321.45482013217613.9902167782812
0.83325.30834476876615.2087004536566
0.84329.55742480694116.3866926583936
0.85334.20571300057417.4284792159152
0.86339.24190373902118.2752798170384
0.87344.64833050023218.9125714826690
0.88350.41199066717919.3658383373897
0.89356.53808155197819.6883169765311
0.9363.06848667536919.9603480165798
0.91370.11011000267420.3088447558838
0.92377.87885292976120.9507313159319
0.93386.76372131257122.2238670604224
0.94397.41505359054124.5586794306439
0.95410.86590410040228.3580172820826
0.96428.67557759142233.8368974008991
0.97452.85189407041941.07580517746
0.98484.52199484853950.5837573081513
0.99519.72859706574362.7311011606221

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 118.717681771862 & 34.5596990717673 \tabularnewline
0.02 & 136.352830816160 & 22.9174222266132 \tabularnewline
0.03 & 150.520748065059 & 15.1251220639833 \tabularnewline
0.04 & 160.018247258608 & 11.1872809908646 \tabularnewline
0.05 & 166.286012151991 & 9.14047778044053 \tabularnewline
0.06 & 170.715045306259 & 7.823039188221 \tabularnewline
0.07 & 174.088427650052 & 6.84618548691268 \tabularnewline
0.08 & 176.785759861108 & 6.05331115510352 \tabularnewline
0.09 & 178.997459850605 & 5.34742619275321 \tabularnewline
0.1 & 180.832418131931 & 4.69114361363316 \tabularnewline
0.11 & 182.365959074212 & 4.10548283532570 \tabularnewline
0.12 & 183.662741938949 & 3.64550886661779 \tabularnewline
0.13 & 184.786454951744 & 3.36730823229525 \tabularnewline
0.14 & 185.800958659202 & 3.30117552001682 \tabularnewline
0.15 & 186.766914923688 & 3.44050205943968 \tabularnewline
0.16 & 187.737489027850 & 3.75018991425278 \tabularnewline
0.17 & 188.755345759248 & 4.18576636305798 \tabularnewline
0.18 & 189.851652092911 & 4.70531553526359 \tabularnewline
0.19 & 191.046797370189 & 5.27440970849366 \tabularnewline
0.2 & 192.352151205124 & 5.86670088455388 \tabularnewline
0.21 & 193.772188018788 & 6.46394575825089 \tabularnewline
0.22 & 195.306472367362 & 7.05421423418972 \tabularnewline
0.23 & 196.951184447740 & 7.6287240140112 \tabularnewline
0.24 & 198.700036632245 & 8.17949549251544 \tabularnewline
0.25 & 200.544596473123 & 8.69615730416539 \tabularnewline
0.26 & 202.474185132423 & 9.16497472196534 \tabularnewline
0.27 & 204.475634219779 & 9.56850755371936 \tabularnewline
0.28 & 206.533222980108 & 9.88963301960056 \tabularnewline
0.29 & 208.629063323083 & 10.1141614579204 \tabularnewline
0.3 & 210.744064537133 & 10.235277655656 \tabularnewline
0.31 & 212.859431891848 & 10.2571431060645 \tabularnewline
0.32 & 214.958484579117 & 10.1932327408093 \tabularnewline
0.33 & 217.028463431951 & 10.0696266064238 \tabularnewline
0.34 & 219.061964078703 & 9.91881790255218 \tabularnewline
0.35 & 221.057680781502 & 9.77696752501202 \tabularnewline
0.36 & 223.020265107334 & 9.67771670100233 \tabularnewline
0.37 & 224.959264380005 & 9.6467132695945 \tabularnewline
0.38 & 226.887275127138 & 9.6957625537064 \tabularnewline
0.39 & 228.817594957923 & 9.82155385741121 \tabularnewline
0.4 & 230.761756170440 & 10.0043790769310 \tabularnewline
0.41 & 232.727357866548 & 10.2131946451398 \tabularnewline
0.42 & 234.716573065406 & 10.4106738863413 \tabularnewline
0.43 & 236.725598035139 & 10.5595971704309 \tabularnewline
0.44 & 238.745149864881 & 10.6299250699321 \tabularnewline
0.45 & 240.761932591521 & 10.6033235133514 \tabularnewline
0.46 & 242.760815583661 & 10.4761017396356 \tabularnewline
0.47 & 244.727334219925 & 10.2597467530296 \tabularnewline
0.48 & 246.650059622247 & 9.97977278883538 \tabularnewline
0.49 & 248.522406409784 & 9.67095653821123 \tabularnewline
0.5 & 250.343554010755 & 9.37182224178347 \tabularnewline
0.51 & 252.118329907663 & 9.11783500048869 \tabularnewline
0.52 & 253.856109900157 & 8.9344093480014 \tabularnewline
0.53 & 255.568990181947 & 8.83245593043478 \tabularnewline
0.54 & 257.269637352715 & 8.8073073510835 \tabularnewline
0.55 & 258.969292043158 & 8.83945121025875 \tabularnewline
0.56 & 260.67637161733 & 8.90367297964463 \tabularnewline
0.57 & 262.395989368569 & 8.9740738351145 \tabularnewline
0.58 & 264.130504276155 & 9.03138981006699 \tabularnewline
0.59 & 265.880976290027 & 9.070241450115 \tabularnewline
0.6 & 267.649176612083 & 9.10033826032478 \tabularnewline
0.61 & 269.439640218426 & 9.14422641389633 \tabularnewline
0.62 & 271.261189002907 & 9.23511238270286 \tabularnewline
0.63 & 273.127420398808 & 9.40772004314461 \tabularnewline
0.64 & 275.055846346747 & 9.68798433241162 \tabularnewline
0.65 & 277.065653478884 & 10.0817867407680 \tabularnewline
0.66 & 279.174386357209 & 10.5719646292175 \tabularnewline
0.67 & 281.394163772702 & 11.1156385382742 \tabularnewline
0.68 & 283.728250285138 & 11.6526871586145 \tabularnewline
0.69 & 286.168858015236 & 12.1138027486092 \tabularnewline
0.7 & 288.696910887402 & 12.4346022893212 \tabularnewline
0.71 & 291.284170737212 & 12.5690667817555 \tabularnewline
0.72 & 293.897656525209 & 12.4992692881256 \tabularnewline
0.73 & 296.505781394452 & 12.2419846877332 \tabularnewline
0.74 & 299.085205397289 & 11.8505800502356 \tabularnewline
0.75 & 301.627160824561 & 11.4094390622633 \tabularnewline
0.76 & 304.142014893225 & 11.0241450650637 \tabularnewline
0.77 & 306.661091650867 & 10.8054922329104 \tabularnewline
0.78 & 309.235224781324 & 10.8473411639333 \tabularnewline
0.79 & 311.930068473039 & 11.2064486484841 \tabularnewline
0.8 & 314.8187694811 & 11.8886931868354 \tabularnewline
0.81 & 317.973131916096 & 12.8462936826668 \tabularnewline
0.82 & 321.454820132176 & 13.9902167782812 \tabularnewline
0.83 & 325.308344768766 & 15.2087004536566 \tabularnewline
0.84 & 329.557424806941 & 16.3866926583936 \tabularnewline
0.85 & 334.205713000574 & 17.4284792159152 \tabularnewline
0.86 & 339.241903739021 & 18.2752798170384 \tabularnewline
0.87 & 344.648330500232 & 18.9125714826690 \tabularnewline
0.88 & 350.411990667179 & 19.3658383373897 \tabularnewline
0.89 & 356.538081551978 & 19.6883169765311 \tabularnewline
0.9 & 363.068486675369 & 19.9603480165798 \tabularnewline
0.91 & 370.110110002674 & 20.3088447558838 \tabularnewline
0.92 & 377.878852929761 & 20.9507313159319 \tabularnewline
0.93 & 386.763721312571 & 22.2238670604224 \tabularnewline
0.94 & 397.415053590541 & 24.5586794306439 \tabularnewline
0.95 & 410.865904100402 & 28.3580172820826 \tabularnewline
0.96 & 428.675577591422 & 33.8368974008991 \tabularnewline
0.97 & 452.851894070419 & 41.07580517746 \tabularnewline
0.98 & 484.521994848539 & 50.5837573081513 \tabularnewline
0.99 & 519.728597065743 & 62.7311011606221 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74311&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]118.717681771862[/C][C]34.5596990717673[/C][/ROW]
[ROW][C]0.02[/C][C]136.352830816160[/C][C]22.9174222266132[/C][/ROW]
[ROW][C]0.03[/C][C]150.520748065059[/C][C]15.1251220639833[/C][/ROW]
[ROW][C]0.04[/C][C]160.018247258608[/C][C]11.1872809908646[/C][/ROW]
[ROW][C]0.05[/C][C]166.286012151991[/C][C]9.14047778044053[/C][/ROW]
[ROW][C]0.06[/C][C]170.715045306259[/C][C]7.823039188221[/C][/ROW]
[ROW][C]0.07[/C][C]174.088427650052[/C][C]6.84618548691268[/C][/ROW]
[ROW][C]0.08[/C][C]176.785759861108[/C][C]6.05331115510352[/C][/ROW]
[ROW][C]0.09[/C][C]178.997459850605[/C][C]5.34742619275321[/C][/ROW]
[ROW][C]0.1[/C][C]180.832418131931[/C][C]4.69114361363316[/C][/ROW]
[ROW][C]0.11[/C][C]182.365959074212[/C][C]4.10548283532570[/C][/ROW]
[ROW][C]0.12[/C][C]183.662741938949[/C][C]3.64550886661779[/C][/ROW]
[ROW][C]0.13[/C][C]184.786454951744[/C][C]3.36730823229525[/C][/ROW]
[ROW][C]0.14[/C][C]185.800958659202[/C][C]3.30117552001682[/C][/ROW]
[ROW][C]0.15[/C][C]186.766914923688[/C][C]3.44050205943968[/C][/ROW]
[ROW][C]0.16[/C][C]187.737489027850[/C][C]3.75018991425278[/C][/ROW]
[ROW][C]0.17[/C][C]188.755345759248[/C][C]4.18576636305798[/C][/ROW]
[ROW][C]0.18[/C][C]189.851652092911[/C][C]4.70531553526359[/C][/ROW]
[ROW][C]0.19[/C][C]191.046797370189[/C][C]5.27440970849366[/C][/ROW]
[ROW][C]0.2[/C][C]192.352151205124[/C][C]5.86670088455388[/C][/ROW]
[ROW][C]0.21[/C][C]193.772188018788[/C][C]6.46394575825089[/C][/ROW]
[ROW][C]0.22[/C][C]195.306472367362[/C][C]7.05421423418972[/C][/ROW]
[ROW][C]0.23[/C][C]196.951184447740[/C][C]7.6287240140112[/C][/ROW]
[ROW][C]0.24[/C][C]198.700036632245[/C][C]8.17949549251544[/C][/ROW]
[ROW][C]0.25[/C][C]200.544596473123[/C][C]8.69615730416539[/C][/ROW]
[ROW][C]0.26[/C][C]202.474185132423[/C][C]9.16497472196534[/C][/ROW]
[ROW][C]0.27[/C][C]204.475634219779[/C][C]9.56850755371936[/C][/ROW]
[ROW][C]0.28[/C][C]206.533222980108[/C][C]9.88963301960056[/C][/ROW]
[ROW][C]0.29[/C][C]208.629063323083[/C][C]10.1141614579204[/C][/ROW]
[ROW][C]0.3[/C][C]210.744064537133[/C][C]10.235277655656[/C][/ROW]
[ROW][C]0.31[/C][C]212.859431891848[/C][C]10.2571431060645[/C][/ROW]
[ROW][C]0.32[/C][C]214.958484579117[/C][C]10.1932327408093[/C][/ROW]
[ROW][C]0.33[/C][C]217.028463431951[/C][C]10.0696266064238[/C][/ROW]
[ROW][C]0.34[/C][C]219.061964078703[/C][C]9.91881790255218[/C][/ROW]
[ROW][C]0.35[/C][C]221.057680781502[/C][C]9.77696752501202[/C][/ROW]
[ROW][C]0.36[/C][C]223.020265107334[/C][C]9.67771670100233[/C][/ROW]
[ROW][C]0.37[/C][C]224.959264380005[/C][C]9.6467132695945[/C][/ROW]
[ROW][C]0.38[/C][C]226.887275127138[/C][C]9.6957625537064[/C][/ROW]
[ROW][C]0.39[/C][C]228.817594957923[/C][C]9.82155385741121[/C][/ROW]
[ROW][C]0.4[/C][C]230.761756170440[/C][C]10.0043790769310[/C][/ROW]
[ROW][C]0.41[/C][C]232.727357866548[/C][C]10.2131946451398[/C][/ROW]
[ROW][C]0.42[/C][C]234.716573065406[/C][C]10.4106738863413[/C][/ROW]
[ROW][C]0.43[/C][C]236.725598035139[/C][C]10.5595971704309[/C][/ROW]
[ROW][C]0.44[/C][C]238.745149864881[/C][C]10.6299250699321[/C][/ROW]
[ROW][C]0.45[/C][C]240.761932591521[/C][C]10.6033235133514[/C][/ROW]
[ROW][C]0.46[/C][C]242.760815583661[/C][C]10.4761017396356[/C][/ROW]
[ROW][C]0.47[/C][C]244.727334219925[/C][C]10.2597467530296[/C][/ROW]
[ROW][C]0.48[/C][C]246.650059622247[/C][C]9.97977278883538[/C][/ROW]
[ROW][C]0.49[/C][C]248.522406409784[/C][C]9.67095653821123[/C][/ROW]
[ROW][C]0.5[/C][C]250.343554010755[/C][C]9.37182224178347[/C][/ROW]
[ROW][C]0.51[/C][C]252.118329907663[/C][C]9.11783500048869[/C][/ROW]
[ROW][C]0.52[/C][C]253.856109900157[/C][C]8.9344093480014[/C][/ROW]
[ROW][C]0.53[/C][C]255.568990181947[/C][C]8.83245593043478[/C][/ROW]
[ROW][C]0.54[/C][C]257.269637352715[/C][C]8.8073073510835[/C][/ROW]
[ROW][C]0.55[/C][C]258.969292043158[/C][C]8.83945121025875[/C][/ROW]
[ROW][C]0.56[/C][C]260.67637161733[/C][C]8.90367297964463[/C][/ROW]
[ROW][C]0.57[/C][C]262.395989368569[/C][C]8.9740738351145[/C][/ROW]
[ROW][C]0.58[/C][C]264.130504276155[/C][C]9.03138981006699[/C][/ROW]
[ROW][C]0.59[/C][C]265.880976290027[/C][C]9.070241450115[/C][/ROW]
[ROW][C]0.6[/C][C]267.649176612083[/C][C]9.10033826032478[/C][/ROW]
[ROW][C]0.61[/C][C]269.439640218426[/C][C]9.14422641389633[/C][/ROW]
[ROW][C]0.62[/C][C]271.261189002907[/C][C]9.23511238270286[/C][/ROW]
[ROW][C]0.63[/C][C]273.127420398808[/C][C]9.40772004314461[/C][/ROW]
[ROW][C]0.64[/C][C]275.055846346747[/C][C]9.68798433241162[/C][/ROW]
[ROW][C]0.65[/C][C]277.065653478884[/C][C]10.0817867407680[/C][/ROW]
[ROW][C]0.66[/C][C]279.174386357209[/C][C]10.5719646292175[/C][/ROW]
[ROW][C]0.67[/C][C]281.394163772702[/C][C]11.1156385382742[/C][/ROW]
[ROW][C]0.68[/C][C]283.728250285138[/C][C]11.6526871586145[/C][/ROW]
[ROW][C]0.69[/C][C]286.168858015236[/C][C]12.1138027486092[/C][/ROW]
[ROW][C]0.7[/C][C]288.696910887402[/C][C]12.4346022893212[/C][/ROW]
[ROW][C]0.71[/C][C]291.284170737212[/C][C]12.5690667817555[/C][/ROW]
[ROW][C]0.72[/C][C]293.897656525209[/C][C]12.4992692881256[/C][/ROW]
[ROW][C]0.73[/C][C]296.505781394452[/C][C]12.2419846877332[/C][/ROW]
[ROW][C]0.74[/C][C]299.085205397289[/C][C]11.8505800502356[/C][/ROW]
[ROW][C]0.75[/C][C]301.627160824561[/C][C]11.4094390622633[/C][/ROW]
[ROW][C]0.76[/C][C]304.142014893225[/C][C]11.0241450650637[/C][/ROW]
[ROW][C]0.77[/C][C]306.661091650867[/C][C]10.8054922329104[/C][/ROW]
[ROW][C]0.78[/C][C]309.235224781324[/C][C]10.8473411639333[/C][/ROW]
[ROW][C]0.79[/C][C]311.930068473039[/C][C]11.2064486484841[/C][/ROW]
[ROW][C]0.8[/C][C]314.8187694811[/C][C]11.8886931868354[/C][/ROW]
[ROW][C]0.81[/C][C]317.973131916096[/C][C]12.8462936826668[/C][/ROW]
[ROW][C]0.82[/C][C]321.454820132176[/C][C]13.9902167782812[/C][/ROW]
[ROW][C]0.83[/C][C]325.308344768766[/C][C]15.2087004536566[/C][/ROW]
[ROW][C]0.84[/C][C]329.557424806941[/C][C]16.3866926583936[/C][/ROW]
[ROW][C]0.85[/C][C]334.205713000574[/C][C]17.4284792159152[/C][/ROW]
[ROW][C]0.86[/C][C]339.241903739021[/C][C]18.2752798170384[/C][/ROW]
[ROW][C]0.87[/C][C]344.648330500232[/C][C]18.9125714826690[/C][/ROW]
[ROW][C]0.88[/C][C]350.411990667179[/C][C]19.3658383373897[/C][/ROW]
[ROW][C]0.89[/C][C]356.538081551978[/C][C]19.6883169765311[/C][/ROW]
[ROW][C]0.9[/C][C]363.068486675369[/C][C]19.9603480165798[/C][/ROW]
[ROW][C]0.91[/C][C]370.110110002674[/C][C]20.3088447558838[/C][/ROW]
[ROW][C]0.92[/C][C]377.878852929761[/C][C]20.9507313159319[/C][/ROW]
[ROW][C]0.93[/C][C]386.763721312571[/C][C]22.2238670604224[/C][/ROW]
[ROW][C]0.94[/C][C]397.415053590541[/C][C]24.5586794306439[/C][/ROW]
[ROW][C]0.95[/C][C]410.865904100402[/C][C]28.3580172820826[/C][/ROW]
[ROW][C]0.96[/C][C]428.675577591422[/C][C]33.8368974008991[/C][/ROW]
[ROW][C]0.97[/C][C]452.851894070419[/C][C]41.07580517746[/C][/ROW]
[ROW][C]0.98[/C][C]484.521994848539[/C][C]50.5837573081513[/C][/ROW]
[ROW][C]0.99[/C][C]519.728597065743[/C][C]62.7311011606221[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74311&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74311&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01118.71768177186234.5596990717673
0.02136.35283081616022.9174222266132
0.03150.52074806505915.1251220639833
0.04160.01824725860811.1872809908646
0.05166.2860121519919.14047778044053
0.06170.7150453062597.823039188221
0.07174.0884276500526.84618548691268
0.08176.7857598611086.05331115510352
0.09178.9974598506055.34742619275321
0.1180.8324181319314.69114361363316
0.11182.3659590742124.10548283532570
0.12183.6627419389493.64550886661779
0.13184.7864549517443.36730823229525
0.14185.8009586592023.30117552001682
0.15186.7669149236883.44050205943968
0.16187.7374890278503.75018991425278
0.17188.7553457592484.18576636305798
0.18189.8516520929114.70531553526359
0.19191.0467973701895.27440970849366
0.2192.3521512051245.86670088455388
0.21193.7721880187886.46394575825089
0.22195.3064723673627.05421423418972
0.23196.9511844477407.6287240140112
0.24198.7000366322458.17949549251544
0.25200.5445964731238.69615730416539
0.26202.4741851324239.16497472196534
0.27204.4756342197799.56850755371936
0.28206.5332229801089.88963301960056
0.29208.62906332308310.1141614579204
0.3210.74406453713310.235277655656
0.31212.85943189184810.2571431060645
0.32214.95848457911710.1932327408093
0.33217.02846343195110.0696266064238
0.34219.0619640787039.91881790255218
0.35221.0576807815029.77696752501202
0.36223.0202651073349.67771670100233
0.37224.9592643800059.6467132695945
0.38226.8872751271389.6957625537064
0.39228.8175949579239.82155385741121
0.4230.76175617044010.0043790769310
0.41232.72735786654810.2131946451398
0.42234.71657306540610.4106738863413
0.43236.72559803513910.5595971704309
0.44238.74514986488110.6299250699321
0.45240.76193259152110.6033235133514
0.46242.76081558366110.4761017396356
0.47244.72733421992510.2597467530296
0.48246.6500596222479.97977278883538
0.49248.5224064097849.67095653821123
0.5250.3435540107559.37182224178347
0.51252.1183299076639.11783500048869
0.52253.8561099001578.9344093480014
0.53255.5689901819478.83245593043478
0.54257.2696373527158.8073073510835
0.55258.9692920431588.83945121025875
0.56260.676371617338.90367297964463
0.57262.3959893685698.9740738351145
0.58264.1305042761559.03138981006699
0.59265.8809762900279.070241450115
0.6267.6491766120839.10033826032478
0.61269.4396402184269.14422641389633
0.62271.2611890029079.23511238270286
0.63273.1274203988089.40772004314461
0.64275.0558463467479.68798433241162
0.65277.06565347888410.0817867407680
0.66279.17438635720910.5719646292175
0.67281.39416377270211.1156385382742
0.68283.72825028513811.6526871586145
0.69286.16885801523612.1138027486092
0.7288.69691088740212.4346022893212
0.71291.28417073721212.5690667817555
0.72293.89765652520912.4992692881256
0.73296.50578139445212.2419846877332
0.74299.08520539728911.8505800502356
0.75301.62716082456111.4094390622633
0.76304.14201489322511.0241450650637
0.77306.66109165086710.8054922329104
0.78309.23522478132410.8473411639333
0.79311.93006847303911.2064486484841
0.8314.818769481111.8886931868354
0.81317.97313191609612.8462936826668
0.82321.45482013217613.9902167782812
0.83325.30834476876615.2087004536566
0.84329.55742480694116.3866926583936
0.85334.20571300057417.4284792159152
0.86339.24190373902118.2752798170384
0.87344.64833050023218.9125714826690
0.88350.41199066717919.3658383373897
0.89356.53808155197819.6883169765311
0.9363.06848667536919.9603480165798
0.91370.11011000267420.3088447558838
0.92377.87885292976120.9507313159319
0.93386.76372131257122.2238670604224
0.94397.41505359054124.5586794306439
0.95410.86590410040228.3580172820826
0.96428.67557759142233.8368974008991
0.97452.85189407041941.07580517746
0.98484.52199484853950.5837573081513
0.99519.72859706574362.7311011606221



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')