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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 15 Dec 2015 17:30:02 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Dec/15/t1450200721d6gb6i1rrebegcv.htm/, Retrieved Sat, 18 May 2024 15:22:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=286541, Retrieved Sat, 18 May 2024 15:22:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact53

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] [] [2015-12-15 17:30:02] [9d441e5437781f0cd4d5053adc3d2c6c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
161193
157645
161694
163411
161834
159511
156359
154223
151497
160607
159672
155601
154668
153960
157307
165218
165616
162212
159787
157454
156485
165887
166836
163541
163973
164805
167521
174347
173374
172198
171055
168385
167281
177670
177280
174846
174476
174595
178392
185345
183293
181081
177795
173552
170734
179293
178659
175894
174815
173506
175376
179372
177688
175480
169705
164951
163405
169431
168389
164009
162245

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286541&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286541&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286541&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01152027.2773132272010.0086027523
0.02152761.3773501771492.21061494353
0.03153468.5289350941104.02094856481
0.04154054.893609078942.039200215866
0.05154531.554307354946.891133345151
0.06154941.8502720491010.13253566199
0.07155320.1497190881070.6205937583
0.08155683.5890473011112.43457760633
0.09156038.0123827051141.34649137773
0.1156385.0900000141169.71856108849
0.11156726.28783841207.62535864523
0.12157063.9064293141257.95767244618
0.13157400.584792361318.00675749514
0.14157738.4234862251380.3238493038
0.15158078.3492931241437.01308777277
0.16158419.9203699631481.56180328536
0.17158761.5223104751509.93767986011
0.18159100.7991436161521.14525773723
0.19159435.1503287791516.43348756212
0.2159762.1634799111499.07207503284
0.21160079.9107933061472.49074564112
0.22160387.0924621751440.24112594158
0.23160683.0496932751405.32716928993
0.24160967.6891551951370.00317784973
0.25161241.3626129721336.27460895032
0.26161504.7367501071304.86784315925
0.27161758.6757387771276.84241383221
0.28162004.147952161252.61700475951
0.29162242.160429271232.09601734618
0.3162473.7201372891215.0252212636
0.31162699.818523671201.76313455822
0.32162921.4341878241192.2876283571
0.33163139.5472499331186.61138449968
0.34163355.1582790441185.35497551634
0.35163569.3048217051189.24609555627
0.36163783.0698408331198.65213270981
0.37163997.5785702341214.32655930419
0.38164213.9829417661236.4739484878
0.39164433.4352702641265.13527969592
0.4164657.0548130051299.78245049141
0.41164885.8919121261340.00532380857
0.42165120.8946656461385.18520323391
0.43165362.8825818221434.18740052721
0.44165612.5306139381486.00474231459
0.45165870.3654792391539.7384592688
0.46166136.7743381991594.27446975856
0.47166412.0238711321649.19324027457
0.48166696.2857404141703.75779049447
0.49166989.6626754731757.68478983356
0.5167292.2083446091811.03771996314
0.51167603.9341520481863.81914175488
0.52167924.7973682721915.69374583597
0.53168254.6675949731966.57775801418
0.54168593.2722377932015.39740487665
0.55168940.125900912060.98362736924
0.56169294.45272562101.13834686532
0.57169655.1138960832133.53038471183
0.58170020.5541297512155.36690058243
0.59170388.7804725212163.72893525544
0.6170757.3839857542156.36576520538
0.61171123.6101903642130.89633871941
0.62171484.4780681362086.09924636699
0.63171836.9409484852022.53379097276
0.64172178.0767924851941.02141801329
0.65172505.2911844311843.77805483814
0.66172816.5143842671734.61313758452
0.67173110.3742185961618.12088663058
0.68173386.3289962791499.40792270353
0.69173644.7482126741383.64436784144
0.7173886.9325893081276.71073029523
0.71174115.0682228281183.36565934565
0.72174332.1120745471108.37878543823
0.73174541.6082562351054.92948763601
0.74174747.4377915481024.92512635689
0.75174953.5102979861018.11350557811
0.76175163.4154855771031.4943660353
0.77175380.0653636931060.10606261843
0.78175605.3723854861096.88810046698
0.79175840.0199492561133.89111673132
0.8176083.3836826931163.10285026079
0.81176333.6491413561177.64121139965
0.82176588.141692051173.40478475084
0.83176843.8415251011148.90234102573
0.84177098.0129850181106.72961205124
0.85177348.8511091291052.44816592319
0.86177596.058171231994.366916721588
0.87177841.318077123941.499562677194
0.88178088.723737705902.752226131041
0.89178345.288692207885.870198902
0.9178621.668921657898.895411590785
0.91178933.06302844952.263761196496
0.92179299.9321701431058.66829001277
0.93179747.7842547081227.50887307256
0.94180304.9927546751453.39701279518
0.95180997.5055198821705.97020825107
0.96181838.8122970061927.65973178849
0.97182812.0255114292053.48984995377
0.98183841.1095736682062.54447831933
0.99184762.0205851872023.84598578623

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 152027.277313227 & 2010.0086027523 \tabularnewline
0.02 & 152761.377350177 & 1492.21061494353 \tabularnewline
0.03 & 153468.528935094 & 1104.02094856481 \tabularnewline
0.04 & 154054.893609078 & 942.039200215866 \tabularnewline
0.05 & 154531.554307354 & 946.891133345151 \tabularnewline
0.06 & 154941.850272049 & 1010.13253566199 \tabularnewline
0.07 & 155320.149719088 & 1070.6205937583 \tabularnewline
0.08 & 155683.589047301 & 1112.43457760633 \tabularnewline
0.09 & 156038.012382705 & 1141.34649137773 \tabularnewline
0.1 & 156385.090000014 & 1169.71856108849 \tabularnewline
0.11 & 156726.2878384 & 1207.62535864523 \tabularnewline
0.12 & 157063.906429314 & 1257.95767244618 \tabularnewline
0.13 & 157400.58479236 & 1318.00675749514 \tabularnewline
0.14 & 157738.423486225 & 1380.3238493038 \tabularnewline
0.15 & 158078.349293124 & 1437.01308777277 \tabularnewline
0.16 & 158419.920369963 & 1481.56180328536 \tabularnewline
0.17 & 158761.522310475 & 1509.93767986011 \tabularnewline
0.18 & 159100.799143616 & 1521.14525773723 \tabularnewline
0.19 & 159435.150328779 & 1516.43348756212 \tabularnewline
0.2 & 159762.163479911 & 1499.07207503284 \tabularnewline
0.21 & 160079.910793306 & 1472.49074564112 \tabularnewline
0.22 & 160387.092462175 & 1440.24112594158 \tabularnewline
0.23 & 160683.049693275 & 1405.32716928993 \tabularnewline
0.24 & 160967.689155195 & 1370.00317784973 \tabularnewline
0.25 & 161241.362612972 & 1336.27460895032 \tabularnewline
0.26 & 161504.736750107 & 1304.86784315925 \tabularnewline
0.27 & 161758.675738777 & 1276.84241383221 \tabularnewline
0.28 & 162004.14795216 & 1252.61700475951 \tabularnewline
0.29 & 162242.16042927 & 1232.09601734618 \tabularnewline
0.3 & 162473.720137289 & 1215.0252212636 \tabularnewline
0.31 & 162699.81852367 & 1201.76313455822 \tabularnewline
0.32 & 162921.434187824 & 1192.2876283571 \tabularnewline
0.33 & 163139.547249933 & 1186.61138449968 \tabularnewline
0.34 & 163355.158279044 & 1185.35497551634 \tabularnewline
0.35 & 163569.304821705 & 1189.24609555627 \tabularnewline
0.36 & 163783.069840833 & 1198.65213270981 \tabularnewline
0.37 & 163997.578570234 & 1214.32655930419 \tabularnewline
0.38 & 164213.982941766 & 1236.4739484878 \tabularnewline
0.39 & 164433.435270264 & 1265.13527969592 \tabularnewline
0.4 & 164657.054813005 & 1299.78245049141 \tabularnewline
0.41 & 164885.891912126 & 1340.00532380857 \tabularnewline
0.42 & 165120.894665646 & 1385.18520323391 \tabularnewline
0.43 & 165362.882581822 & 1434.18740052721 \tabularnewline
0.44 & 165612.530613938 & 1486.00474231459 \tabularnewline
0.45 & 165870.365479239 & 1539.7384592688 \tabularnewline
0.46 & 166136.774338199 & 1594.27446975856 \tabularnewline
0.47 & 166412.023871132 & 1649.19324027457 \tabularnewline
0.48 & 166696.285740414 & 1703.75779049447 \tabularnewline
0.49 & 166989.662675473 & 1757.68478983356 \tabularnewline
0.5 & 167292.208344609 & 1811.03771996314 \tabularnewline
0.51 & 167603.934152048 & 1863.81914175488 \tabularnewline
0.52 & 167924.797368272 & 1915.69374583597 \tabularnewline
0.53 & 168254.667594973 & 1966.57775801418 \tabularnewline
0.54 & 168593.272237793 & 2015.39740487665 \tabularnewline
0.55 & 168940.12590091 & 2060.98362736924 \tabularnewline
0.56 & 169294.4527256 & 2101.13834686532 \tabularnewline
0.57 & 169655.113896083 & 2133.53038471183 \tabularnewline
0.58 & 170020.554129751 & 2155.36690058243 \tabularnewline
0.59 & 170388.780472521 & 2163.72893525544 \tabularnewline
0.6 & 170757.383985754 & 2156.36576520538 \tabularnewline
0.61 & 171123.610190364 & 2130.89633871941 \tabularnewline
0.62 & 171484.478068136 & 2086.09924636699 \tabularnewline
0.63 & 171836.940948485 & 2022.53379097276 \tabularnewline
0.64 & 172178.076792485 & 1941.02141801329 \tabularnewline
0.65 & 172505.291184431 & 1843.77805483814 \tabularnewline
0.66 & 172816.514384267 & 1734.61313758452 \tabularnewline
0.67 & 173110.374218596 & 1618.12088663058 \tabularnewline
0.68 & 173386.328996279 & 1499.40792270353 \tabularnewline
0.69 & 173644.748212674 & 1383.64436784144 \tabularnewline
0.7 & 173886.932589308 & 1276.71073029523 \tabularnewline
0.71 & 174115.068222828 & 1183.36565934565 \tabularnewline
0.72 & 174332.112074547 & 1108.37878543823 \tabularnewline
0.73 & 174541.608256235 & 1054.92948763601 \tabularnewline
0.74 & 174747.437791548 & 1024.92512635689 \tabularnewline
0.75 & 174953.510297986 & 1018.11350557811 \tabularnewline
0.76 & 175163.415485577 & 1031.4943660353 \tabularnewline
0.77 & 175380.065363693 & 1060.10606261843 \tabularnewline
0.78 & 175605.372385486 & 1096.88810046698 \tabularnewline
0.79 & 175840.019949256 & 1133.89111673132 \tabularnewline
0.8 & 176083.383682693 & 1163.10285026079 \tabularnewline
0.81 & 176333.649141356 & 1177.64121139965 \tabularnewline
0.82 & 176588.14169205 & 1173.40478475084 \tabularnewline
0.83 & 176843.841525101 & 1148.90234102573 \tabularnewline
0.84 & 177098.012985018 & 1106.72961205124 \tabularnewline
0.85 & 177348.851109129 & 1052.44816592319 \tabularnewline
0.86 & 177596.058171231 & 994.366916721588 \tabularnewline
0.87 & 177841.318077123 & 941.499562677194 \tabularnewline
0.88 & 178088.723737705 & 902.752226131041 \tabularnewline
0.89 & 178345.288692207 & 885.870198902 \tabularnewline
0.9 & 178621.668921657 & 898.895411590785 \tabularnewline
0.91 & 178933.06302844 & 952.263761196496 \tabularnewline
0.92 & 179299.932170143 & 1058.66829001277 \tabularnewline
0.93 & 179747.784254708 & 1227.50887307256 \tabularnewline
0.94 & 180304.992754675 & 1453.39701279518 \tabularnewline
0.95 & 180997.505519882 & 1705.97020825107 \tabularnewline
0.96 & 181838.812297006 & 1927.65973178849 \tabularnewline
0.97 & 182812.025511429 & 2053.48984995377 \tabularnewline
0.98 & 183841.109573668 & 2062.54447831933 \tabularnewline
0.99 & 184762.020585187 & 2023.84598578623 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286541&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]152027.277313227[/C][C]2010.0086027523[/C][/ROW]
[ROW][C]0.02[/C][C]152761.377350177[/C][C]1492.21061494353[/C][/ROW]
[ROW][C]0.03[/C][C]153468.528935094[/C][C]1104.02094856481[/C][/ROW]
[ROW][C]0.04[/C][C]154054.893609078[/C][C]942.039200215866[/C][/ROW]
[ROW][C]0.05[/C][C]154531.554307354[/C][C]946.891133345151[/C][/ROW]
[ROW][C]0.06[/C][C]154941.850272049[/C][C]1010.13253566199[/C][/ROW]
[ROW][C]0.07[/C][C]155320.149719088[/C][C]1070.6205937583[/C][/ROW]
[ROW][C]0.08[/C][C]155683.589047301[/C][C]1112.43457760633[/C][/ROW]
[ROW][C]0.09[/C][C]156038.012382705[/C][C]1141.34649137773[/C][/ROW]
[ROW][C]0.1[/C][C]156385.090000014[/C][C]1169.71856108849[/C][/ROW]
[ROW][C]0.11[/C][C]156726.2878384[/C][C]1207.62535864523[/C][/ROW]
[ROW][C]0.12[/C][C]157063.906429314[/C][C]1257.95767244618[/C][/ROW]
[ROW][C]0.13[/C][C]157400.58479236[/C][C]1318.00675749514[/C][/ROW]
[ROW][C]0.14[/C][C]157738.423486225[/C][C]1380.3238493038[/C][/ROW]
[ROW][C]0.15[/C][C]158078.349293124[/C][C]1437.01308777277[/C][/ROW]
[ROW][C]0.16[/C][C]158419.920369963[/C][C]1481.56180328536[/C][/ROW]
[ROW][C]0.17[/C][C]158761.522310475[/C][C]1509.93767986011[/C][/ROW]
[ROW][C]0.18[/C][C]159100.799143616[/C][C]1521.14525773723[/C][/ROW]
[ROW][C]0.19[/C][C]159435.150328779[/C][C]1516.43348756212[/C][/ROW]
[ROW][C]0.2[/C][C]159762.163479911[/C][C]1499.07207503284[/C][/ROW]
[ROW][C]0.21[/C][C]160079.910793306[/C][C]1472.49074564112[/C][/ROW]
[ROW][C]0.22[/C][C]160387.092462175[/C][C]1440.24112594158[/C][/ROW]
[ROW][C]0.23[/C][C]160683.049693275[/C][C]1405.32716928993[/C][/ROW]
[ROW][C]0.24[/C][C]160967.689155195[/C][C]1370.00317784973[/C][/ROW]
[ROW][C]0.25[/C][C]161241.362612972[/C][C]1336.27460895032[/C][/ROW]
[ROW][C]0.26[/C][C]161504.736750107[/C][C]1304.86784315925[/C][/ROW]
[ROW][C]0.27[/C][C]161758.675738777[/C][C]1276.84241383221[/C][/ROW]
[ROW][C]0.28[/C][C]162004.14795216[/C][C]1252.61700475951[/C][/ROW]
[ROW][C]0.29[/C][C]162242.16042927[/C][C]1232.09601734618[/C][/ROW]
[ROW][C]0.3[/C][C]162473.720137289[/C][C]1215.0252212636[/C][/ROW]
[ROW][C]0.31[/C][C]162699.81852367[/C][C]1201.76313455822[/C][/ROW]
[ROW][C]0.32[/C][C]162921.434187824[/C][C]1192.2876283571[/C][/ROW]
[ROW][C]0.33[/C][C]163139.547249933[/C][C]1186.61138449968[/C][/ROW]
[ROW][C]0.34[/C][C]163355.158279044[/C][C]1185.35497551634[/C][/ROW]
[ROW][C]0.35[/C][C]163569.304821705[/C][C]1189.24609555627[/C][/ROW]
[ROW][C]0.36[/C][C]163783.069840833[/C][C]1198.65213270981[/C][/ROW]
[ROW][C]0.37[/C][C]163997.578570234[/C][C]1214.32655930419[/C][/ROW]
[ROW][C]0.38[/C][C]164213.982941766[/C][C]1236.4739484878[/C][/ROW]
[ROW][C]0.39[/C][C]164433.435270264[/C][C]1265.13527969592[/C][/ROW]
[ROW][C]0.4[/C][C]164657.054813005[/C][C]1299.78245049141[/C][/ROW]
[ROW][C]0.41[/C][C]164885.891912126[/C][C]1340.00532380857[/C][/ROW]
[ROW][C]0.42[/C][C]165120.894665646[/C][C]1385.18520323391[/C][/ROW]
[ROW][C]0.43[/C][C]165362.882581822[/C][C]1434.18740052721[/C][/ROW]
[ROW][C]0.44[/C][C]165612.530613938[/C][C]1486.00474231459[/C][/ROW]
[ROW][C]0.45[/C][C]165870.365479239[/C][C]1539.7384592688[/C][/ROW]
[ROW][C]0.46[/C][C]166136.774338199[/C][C]1594.27446975856[/C][/ROW]
[ROW][C]0.47[/C][C]166412.023871132[/C][C]1649.19324027457[/C][/ROW]
[ROW][C]0.48[/C][C]166696.285740414[/C][C]1703.75779049447[/C][/ROW]
[ROW][C]0.49[/C][C]166989.662675473[/C][C]1757.68478983356[/C][/ROW]
[ROW][C]0.5[/C][C]167292.208344609[/C][C]1811.03771996314[/C][/ROW]
[ROW][C]0.51[/C][C]167603.934152048[/C][C]1863.81914175488[/C][/ROW]
[ROW][C]0.52[/C][C]167924.797368272[/C][C]1915.69374583597[/C][/ROW]
[ROW][C]0.53[/C][C]168254.667594973[/C][C]1966.57775801418[/C][/ROW]
[ROW][C]0.54[/C][C]168593.272237793[/C][C]2015.39740487665[/C][/ROW]
[ROW][C]0.55[/C][C]168940.12590091[/C][C]2060.98362736924[/C][/ROW]
[ROW][C]0.56[/C][C]169294.4527256[/C][C]2101.13834686532[/C][/ROW]
[ROW][C]0.57[/C][C]169655.113896083[/C][C]2133.53038471183[/C][/ROW]
[ROW][C]0.58[/C][C]170020.554129751[/C][C]2155.36690058243[/C][/ROW]
[ROW][C]0.59[/C][C]170388.780472521[/C][C]2163.72893525544[/C][/ROW]
[ROW][C]0.6[/C][C]170757.383985754[/C][C]2156.36576520538[/C][/ROW]
[ROW][C]0.61[/C][C]171123.610190364[/C][C]2130.89633871941[/C][/ROW]
[ROW][C]0.62[/C][C]171484.478068136[/C][C]2086.09924636699[/C][/ROW]
[ROW][C]0.63[/C][C]171836.940948485[/C][C]2022.53379097276[/C][/ROW]
[ROW][C]0.64[/C][C]172178.076792485[/C][C]1941.02141801329[/C][/ROW]
[ROW][C]0.65[/C][C]172505.291184431[/C][C]1843.77805483814[/C][/ROW]
[ROW][C]0.66[/C][C]172816.514384267[/C][C]1734.61313758452[/C][/ROW]
[ROW][C]0.67[/C][C]173110.374218596[/C][C]1618.12088663058[/C][/ROW]
[ROW][C]0.68[/C][C]173386.328996279[/C][C]1499.40792270353[/C][/ROW]
[ROW][C]0.69[/C][C]173644.748212674[/C][C]1383.64436784144[/C][/ROW]
[ROW][C]0.7[/C][C]173886.932589308[/C][C]1276.71073029523[/C][/ROW]
[ROW][C]0.71[/C][C]174115.068222828[/C][C]1183.36565934565[/C][/ROW]
[ROW][C]0.72[/C][C]174332.112074547[/C][C]1108.37878543823[/C][/ROW]
[ROW][C]0.73[/C][C]174541.608256235[/C][C]1054.92948763601[/C][/ROW]
[ROW][C]0.74[/C][C]174747.437791548[/C][C]1024.92512635689[/C][/ROW]
[ROW][C]0.75[/C][C]174953.510297986[/C][C]1018.11350557811[/C][/ROW]
[ROW][C]0.76[/C][C]175163.415485577[/C][C]1031.4943660353[/C][/ROW]
[ROW][C]0.77[/C][C]175380.065363693[/C][C]1060.10606261843[/C][/ROW]
[ROW][C]0.78[/C][C]175605.372385486[/C][C]1096.88810046698[/C][/ROW]
[ROW][C]0.79[/C][C]175840.019949256[/C][C]1133.89111673132[/C][/ROW]
[ROW][C]0.8[/C][C]176083.383682693[/C][C]1163.10285026079[/C][/ROW]
[ROW][C]0.81[/C][C]176333.649141356[/C][C]1177.64121139965[/C][/ROW]
[ROW][C]0.82[/C][C]176588.14169205[/C][C]1173.40478475084[/C][/ROW]
[ROW][C]0.83[/C][C]176843.841525101[/C][C]1148.90234102573[/C][/ROW]
[ROW][C]0.84[/C][C]177098.012985018[/C][C]1106.72961205124[/C][/ROW]
[ROW][C]0.85[/C][C]177348.851109129[/C][C]1052.44816592319[/C][/ROW]
[ROW][C]0.86[/C][C]177596.058171231[/C][C]994.366916721588[/C][/ROW]
[ROW][C]0.87[/C][C]177841.318077123[/C][C]941.499562677194[/C][/ROW]
[ROW][C]0.88[/C][C]178088.723737705[/C][C]902.752226131041[/C][/ROW]
[ROW][C]0.89[/C][C]178345.288692207[/C][C]885.870198902[/C][/ROW]
[ROW][C]0.9[/C][C]178621.668921657[/C][C]898.895411590785[/C][/ROW]
[ROW][C]0.91[/C][C]178933.06302844[/C][C]952.263761196496[/C][/ROW]
[ROW][C]0.92[/C][C]179299.932170143[/C][C]1058.66829001277[/C][/ROW]
[ROW][C]0.93[/C][C]179747.784254708[/C][C]1227.50887307256[/C][/ROW]
[ROW][C]0.94[/C][C]180304.992754675[/C][C]1453.39701279518[/C][/ROW]
[ROW][C]0.95[/C][C]180997.505519882[/C][C]1705.97020825107[/C][/ROW]
[ROW][C]0.96[/C][C]181838.812297006[/C][C]1927.65973178849[/C][/ROW]
[ROW][C]0.97[/C][C]182812.025511429[/C][C]2053.48984995377[/C][/ROW]
[ROW][C]0.98[/C][C]183841.109573668[/C][C]2062.54447831933[/C][/ROW]
[ROW][C]0.99[/C][C]184762.020585187[/C][C]2023.84598578623[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286541&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286541&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
0.01152027.2773132272010.0086027523
0.02152761.3773501771492.21061494353
0.03153468.5289350941104.02094856481
0.04154054.893609078942.039200215866
0.05154531.554307354946.891133345151
0.06154941.8502720491010.13253566199
0.07155320.1497190881070.6205937583
0.08155683.5890473011112.43457760633
0.09156038.0123827051141.34649137773
0.1156385.0900000141169.71856108849
0.11156726.28783841207.62535864523
0.12157063.9064293141257.95767244618
0.13157400.584792361318.00675749514
0.14157738.4234862251380.3238493038
0.15158078.3492931241437.01308777277
0.16158419.9203699631481.56180328536
0.17158761.5223104751509.93767986011
0.18159100.7991436161521.14525773723
0.19159435.1503287791516.43348756212
0.2159762.1634799111499.07207503284
0.21160079.9107933061472.49074564112
0.22160387.0924621751440.24112594158
0.23160683.0496932751405.32716928993
0.24160967.6891551951370.00317784973
0.25161241.3626129721336.27460895032
0.26161504.7367501071304.86784315925
0.27161758.6757387771276.84241383221
0.28162004.147952161252.61700475951
0.29162242.160429271232.09601734618
0.3162473.7201372891215.0252212636
0.31162699.818523671201.76313455822
0.32162921.4341878241192.2876283571
0.33163139.5472499331186.61138449968
0.34163355.1582790441185.35497551634
0.35163569.3048217051189.24609555627
0.36163783.0698408331198.65213270981
0.37163997.5785702341214.32655930419
0.38164213.9829417661236.4739484878
0.39164433.4352702641265.13527969592
0.4164657.0548130051299.78245049141
0.41164885.8919121261340.00532380857
0.42165120.8946656461385.18520323391
0.43165362.8825818221434.18740052721
0.44165612.5306139381486.00474231459
0.45165870.3654792391539.7384592688
0.46166136.7743381991594.27446975856
0.47166412.0238711321649.19324027457
0.48166696.2857404141703.75779049447
0.49166989.6626754731757.68478983356
0.5167292.2083446091811.03771996314
0.51167603.9341520481863.81914175488
0.52167924.7973682721915.69374583597
0.53168254.6675949731966.57775801418
0.54168593.2722377932015.39740487665
0.55168940.125900912060.98362736924
0.56169294.45272562101.13834686532
0.57169655.1138960832133.53038471183
0.58170020.5541297512155.36690058243
0.59170388.7804725212163.72893525544
0.6170757.3839857542156.36576520538
0.61171123.6101903642130.89633871941
0.62171484.4780681362086.09924636699
0.63171836.9409484852022.53379097276
0.64172178.0767924851941.02141801329
0.65172505.2911844311843.77805483814
0.66172816.5143842671734.61313758452
0.67173110.3742185961618.12088663058
0.68173386.3289962791499.40792270353
0.69173644.7482126741383.64436784144
0.7173886.9325893081276.71073029523
0.71174115.0682228281183.36565934565
0.72174332.1120745471108.37878543823
0.73174541.6082562351054.92948763601
0.74174747.4377915481024.92512635689
0.75174953.5102979861018.11350557811
0.76175163.4154855771031.4943660353
0.77175380.0653636931060.10606261843
0.78175605.3723854861096.88810046698
0.79175840.0199492561133.89111673132
0.8176083.3836826931163.10285026079
0.81176333.6491413561177.64121139965
0.82176588.141692051173.40478475084
0.83176843.8415251011148.90234102573
0.84177098.0129850181106.72961205124
0.85177348.8511091291052.44816592319
0.86177596.058171231994.366916721588
0.87177841.318077123941.499562677194
0.88178088.723737705902.752226131041
0.89178345.288692207885.870198902
0.9178621.668921657898.895411590785
0.91178933.06302844952.263761196496
0.92179299.9321701431058.66829001277
0.93179747.7842547081227.50887307256
0.94180304.9927546751453.39701279518
0.95180997.5055198821705.97020825107
0.96181838.8122970061927.65973178849
0.97182812.0255114292053.48984995377
0.98183841.1095736682062.54447831933
0.99184762.0205851872023.84598578623


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')