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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 computationThu, 12 Mar 2009 04:28:08 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/12/t1236853983y8axe4eqbpsezk5.htm/, Retrieved Thu, 02 May 2024 12:18:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38952, Retrieved Thu, 02 May 2024 12:18:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact160

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] [] [2008-10-25 18:56:39] [2097edf1f094fab6879a8cb46df74ec2]
-    D    [Harrell-Davis Quantiles] [percentielen-aant...] [2009-03-12 10:28:08] [0a468acfbffe35a0b1f3f2151d8ad87e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9.733
9.259
9.864
9.215
10.103
9.380
9.896
10.117
9.451
9.700
9.081
9.084
9.743
8.587
9.731
9.563
9.998
9.437
10.038
9.918
9.252
9.737
9.035
9.133
9.487
8.700
9.627
8.947
9.283
8.829
9.947
9.628
9.318
9.605
8.640
9.214
9.567
8.547
9.185
9.470
9.123
9.278
10.170
9.434
9.655
9.429
8.739
9.552
9.687
9.019
9.672
9.206
9.069
9.788
10.312
10.105
9.863
9.656
9.295
9.946
9.701
9.049
10.190
9.706
9.765
9.893
9.994
10.433
10.073
10.112
9.266
9.820
10.097
9.115
10.411
9.678
10.408
10.153
10.368
10.581
10.597
10.680
9.738

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'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38952&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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38952&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38952&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'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.018.567097832091220.0466850763032952
0.028.60238581228320.0632882112683507
0.038.645874869460080.0829060741818595
0.048.694208229225840.102462632340316
0.058.745907838721540.119494622158332
0.068.799307289175280.130194244382679
0.078.852024155320830.131730105431040
0.088.901421898995580.124183279435509
0.098.945366458726330.110271625818824
0.18.982762716684170.0939050206776875
0.119.013650556339990.0786234938308859
0.129.038932600020680.0667434411927971
0.139.059946960523250.0591457929264168
0.149.07807766541740.0555236211483596
0.159.09449948958210.0548391503237688
0.169.110065805508020.0559157797059805
0.179.125302282003910.0576754340763719
0.189.140460929659230.0593975017961988
0.199.15559916905460.0605960208843868
0.29.17066190307010.061127957242803
0.219.185554258435870.0610478507477505
0.229.200198239860890.0606360535725052
0.239.214569826904810.0602366151901686
0.249.228715604678970.0602756805886948
0.259.242750441228770.0610558537728711
0.269.256839910134730.062827914257187
0.279.271172809222180.0655747784110602
0.289.28593001147110.0691530129979043
0.299.301255869976990.0732759139565978
0.39.31723743041060.0775754013307368
0.319.333894838999380.0816642961814996
0.329.351183825251450.0852349023264776
0.339.3690084774390.0880766787445212
0.349.387240358749830.0901315890400383
0.359.405738922520420.0914262770379653
0.369.424368476086280.0920922435664092
0.379.443008483517120.092203098772329
0.389.461556257202360.09192632623876
0.399.479923331720670.0912585486980026
0.49.498028371088050.0902036871023864
0.419.515789955378670.0887094113436294
0.429.533122035665460.0867086027972932
0.439.549933577243690.084133582742779
0.449.56613243231780.081023090214923
0.459.581632265189680.0773994582890781
0.469.596360690514750.0733653846925876
0.479.610266745453210.0690711733889912
0.489.62332627372440.0646762911005497
0.499.63554452206210.060336676373864
0.59.6469559939830.0562472776088116
0.519.65762218422780.0524957833566972
0.529.66762812546440.0492328253947494
0.539.677078692331550.0465395608141389
0.549.686095362682940.0444973447436227
0.559.69481370949250.0431513263497285
0.569.703381396068640.0425617918122904
0.579.711955999339730.0427947450706019
0.589.720701725080020.0438989114637618
0.599.729784119596850.0458553456660483
0.69.739362281825430.0485978490162165
0.619.749578799856030.0520120580925565
0.629.760548523759290.0559156747863775
0.639.772348091609860.0600463170856496
0.649.78500856003530.0641310999683912
0.659.798513321641030.0679033851357511
0.669.81280263589550.0711514985909957
0.679.82778468224180.0737096394501075
0.689.843351390190420.075562658798414
0.699.85939585861410.0767837854911368
0.79.875827386342650.077509954742133
0.719.892580299870560.077930800444034
0.729.909613953471050.0782068764288375
0.739.92690331428560.078422440604762
0.749.944422045945990.0785591046649242
0.759.962122456568120.0784896892103624
0.769.979918519980530.0779760034552038
0.779.997678878677280.0767651057226043
0.7810.01523587451540.0746602601122525
0.7910.03241405042740.071619513266757
0.810.04907742416490.0678054169985463
0.8110.0651897933120.0636744889598328
0.8210.08087733610910.059935286665401
0.8310.09647874310590.0575479874860493
0.8410.11256563514120.0575442515804558
0.8510.12991552202370.0607353505051485
0.8610.14942227986550.0673270108285344
0.8710.17193844662450.0767371205367042
0.8810.19806498713810.087493946622545
0.8910.22794112380720.097462650501493
0.910.26113200016110.104258336484155
0.9110.29673600035460.106071033960652
0.9210.33378328056650.102721668903804
0.9310.37182388133710.0964607115637436
0.9410.41134519682930.0915841336765361
0.9510.45354726847050.091189502264341
0.9610.49941199709480.0922834119047068
0.9710.54882845212920.087368654833711
0.9810.60023957270020.0758935660624434
0.9910.64848891572320.0727704555048751

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 8.56709783209122 & 0.0466850763032952 \tabularnewline
0.02 & 8.6023858122832 & 0.0632882112683507 \tabularnewline
0.03 & 8.64587486946008 & 0.0829060741818595 \tabularnewline
0.04 & 8.69420822922584 & 0.102462632340316 \tabularnewline
0.05 & 8.74590783872154 & 0.119494622158332 \tabularnewline
0.06 & 8.79930728917528 & 0.130194244382679 \tabularnewline
0.07 & 8.85202415532083 & 0.131730105431040 \tabularnewline
0.08 & 8.90142189899558 & 0.124183279435509 \tabularnewline
0.09 & 8.94536645872633 & 0.110271625818824 \tabularnewline
0.1 & 8.98276271668417 & 0.0939050206776875 \tabularnewline
0.11 & 9.01365055633999 & 0.0786234938308859 \tabularnewline
0.12 & 9.03893260002068 & 0.0667434411927971 \tabularnewline
0.13 & 9.05994696052325 & 0.0591457929264168 \tabularnewline
0.14 & 9.0780776654174 & 0.0555236211483596 \tabularnewline
0.15 & 9.0944994895821 & 0.0548391503237688 \tabularnewline
0.16 & 9.11006580550802 & 0.0559157797059805 \tabularnewline
0.17 & 9.12530228200391 & 0.0576754340763719 \tabularnewline
0.18 & 9.14046092965923 & 0.0593975017961988 \tabularnewline
0.19 & 9.1555991690546 & 0.0605960208843868 \tabularnewline
0.2 & 9.1706619030701 & 0.061127957242803 \tabularnewline
0.21 & 9.18555425843587 & 0.0610478507477505 \tabularnewline
0.22 & 9.20019823986089 & 0.0606360535725052 \tabularnewline
0.23 & 9.21456982690481 & 0.0602366151901686 \tabularnewline
0.24 & 9.22871560467897 & 0.0602756805886948 \tabularnewline
0.25 & 9.24275044122877 & 0.0610558537728711 \tabularnewline
0.26 & 9.25683991013473 & 0.062827914257187 \tabularnewline
0.27 & 9.27117280922218 & 0.0655747784110602 \tabularnewline
0.28 & 9.2859300114711 & 0.0691530129979043 \tabularnewline
0.29 & 9.30125586997699 & 0.0732759139565978 \tabularnewline
0.3 & 9.3172374304106 & 0.0775754013307368 \tabularnewline
0.31 & 9.33389483899938 & 0.0816642961814996 \tabularnewline
0.32 & 9.35118382525145 & 0.0852349023264776 \tabularnewline
0.33 & 9.369008477439 & 0.0880766787445212 \tabularnewline
0.34 & 9.38724035874983 & 0.0901315890400383 \tabularnewline
0.35 & 9.40573892252042 & 0.0914262770379653 \tabularnewline
0.36 & 9.42436847608628 & 0.0920922435664092 \tabularnewline
0.37 & 9.44300848351712 & 0.092203098772329 \tabularnewline
0.38 & 9.46155625720236 & 0.09192632623876 \tabularnewline
0.39 & 9.47992333172067 & 0.0912585486980026 \tabularnewline
0.4 & 9.49802837108805 & 0.0902036871023864 \tabularnewline
0.41 & 9.51578995537867 & 0.0887094113436294 \tabularnewline
0.42 & 9.53312203566546 & 0.0867086027972932 \tabularnewline
0.43 & 9.54993357724369 & 0.084133582742779 \tabularnewline
0.44 & 9.5661324323178 & 0.081023090214923 \tabularnewline
0.45 & 9.58163226518968 & 0.0773994582890781 \tabularnewline
0.46 & 9.59636069051475 & 0.0733653846925876 \tabularnewline
0.47 & 9.61026674545321 & 0.0690711733889912 \tabularnewline
0.48 & 9.6233262737244 & 0.0646762911005497 \tabularnewline
0.49 & 9.6355445220621 & 0.060336676373864 \tabularnewline
0.5 & 9.646955993983 & 0.0562472776088116 \tabularnewline
0.51 & 9.6576221842278 & 0.0524957833566972 \tabularnewline
0.52 & 9.6676281254644 & 0.0492328253947494 \tabularnewline
0.53 & 9.67707869233155 & 0.0465395608141389 \tabularnewline
0.54 & 9.68609536268294 & 0.0444973447436227 \tabularnewline
0.55 & 9.6948137094925 & 0.0431513263497285 \tabularnewline
0.56 & 9.70338139606864 & 0.0425617918122904 \tabularnewline
0.57 & 9.71195599933973 & 0.0427947450706019 \tabularnewline
0.58 & 9.72070172508002 & 0.0438989114637618 \tabularnewline
0.59 & 9.72978411959685 & 0.0458553456660483 \tabularnewline
0.6 & 9.73936228182543 & 0.0485978490162165 \tabularnewline
0.61 & 9.74957879985603 & 0.0520120580925565 \tabularnewline
0.62 & 9.76054852375929 & 0.0559156747863775 \tabularnewline
0.63 & 9.77234809160986 & 0.0600463170856496 \tabularnewline
0.64 & 9.7850085600353 & 0.0641310999683912 \tabularnewline
0.65 & 9.79851332164103 & 0.0679033851357511 \tabularnewline
0.66 & 9.8128026358955 & 0.0711514985909957 \tabularnewline
0.67 & 9.8277846822418 & 0.0737096394501075 \tabularnewline
0.68 & 9.84335139019042 & 0.075562658798414 \tabularnewline
0.69 & 9.8593958586141 & 0.0767837854911368 \tabularnewline
0.7 & 9.87582738634265 & 0.077509954742133 \tabularnewline
0.71 & 9.89258029987056 & 0.077930800444034 \tabularnewline
0.72 & 9.90961395347105 & 0.0782068764288375 \tabularnewline
0.73 & 9.9269033142856 & 0.078422440604762 \tabularnewline
0.74 & 9.94442204594599 & 0.0785591046649242 \tabularnewline
0.75 & 9.96212245656812 & 0.0784896892103624 \tabularnewline
0.76 & 9.97991851998053 & 0.0779760034552038 \tabularnewline
0.77 & 9.99767887867728 & 0.0767651057226043 \tabularnewline
0.78 & 10.0152358745154 & 0.0746602601122525 \tabularnewline
0.79 & 10.0324140504274 & 0.071619513266757 \tabularnewline
0.8 & 10.0490774241649 & 0.0678054169985463 \tabularnewline
0.81 & 10.065189793312 & 0.0636744889598328 \tabularnewline
0.82 & 10.0808773361091 & 0.059935286665401 \tabularnewline
0.83 & 10.0964787431059 & 0.0575479874860493 \tabularnewline
0.84 & 10.1125656351412 & 0.0575442515804558 \tabularnewline
0.85 & 10.1299155220237 & 0.0607353505051485 \tabularnewline
0.86 & 10.1494222798655 & 0.0673270108285344 \tabularnewline
0.87 & 10.1719384466245 & 0.0767371205367042 \tabularnewline
0.88 & 10.1980649871381 & 0.087493946622545 \tabularnewline
0.89 & 10.2279411238072 & 0.097462650501493 \tabularnewline
0.9 & 10.2611320001611 & 0.104258336484155 \tabularnewline
0.91 & 10.2967360003546 & 0.106071033960652 \tabularnewline
0.92 & 10.3337832805665 & 0.102721668903804 \tabularnewline
0.93 & 10.3718238813371 & 0.0964607115637436 \tabularnewline
0.94 & 10.4113451968293 & 0.0915841336765361 \tabularnewline
0.95 & 10.4535472684705 & 0.091189502264341 \tabularnewline
0.96 & 10.4994119970948 & 0.0922834119047068 \tabularnewline
0.97 & 10.5488284521292 & 0.087368654833711 \tabularnewline
0.98 & 10.6002395727002 & 0.0758935660624434 \tabularnewline
0.99 & 10.6484889157232 & 0.0727704555048751 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38952&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]8.56709783209122[/C][C]0.0466850763032952[/C][/ROW]
[ROW][C]0.02[/C][C]8.6023858122832[/C][C]0.0632882112683507[/C][/ROW]
[ROW][C]0.03[/C][C]8.64587486946008[/C][C]0.0829060741818595[/C][/ROW]
[ROW][C]0.04[/C][C]8.69420822922584[/C][C]0.102462632340316[/C][/ROW]
[ROW][C]0.05[/C][C]8.74590783872154[/C][C]0.119494622158332[/C][/ROW]
[ROW][C]0.06[/C][C]8.79930728917528[/C][C]0.130194244382679[/C][/ROW]
[ROW][C]0.07[/C][C]8.85202415532083[/C][C]0.131730105431040[/C][/ROW]
[ROW][C]0.08[/C][C]8.90142189899558[/C][C]0.124183279435509[/C][/ROW]
[ROW][C]0.09[/C][C]8.94536645872633[/C][C]0.110271625818824[/C][/ROW]
[ROW][C]0.1[/C][C]8.98276271668417[/C][C]0.0939050206776875[/C][/ROW]
[ROW][C]0.11[/C][C]9.01365055633999[/C][C]0.0786234938308859[/C][/ROW]
[ROW][C]0.12[/C][C]9.03893260002068[/C][C]0.0667434411927971[/C][/ROW]
[ROW][C]0.13[/C][C]9.05994696052325[/C][C]0.0591457929264168[/C][/ROW]
[ROW][C]0.14[/C][C]9.0780776654174[/C][C]0.0555236211483596[/C][/ROW]
[ROW][C]0.15[/C][C]9.0944994895821[/C][C]0.0548391503237688[/C][/ROW]
[ROW][C]0.16[/C][C]9.11006580550802[/C][C]0.0559157797059805[/C][/ROW]
[ROW][C]0.17[/C][C]9.12530228200391[/C][C]0.0576754340763719[/C][/ROW]
[ROW][C]0.18[/C][C]9.14046092965923[/C][C]0.0593975017961988[/C][/ROW]
[ROW][C]0.19[/C][C]9.1555991690546[/C][C]0.0605960208843868[/C][/ROW]
[ROW][C]0.2[/C][C]9.1706619030701[/C][C]0.061127957242803[/C][/ROW]
[ROW][C]0.21[/C][C]9.18555425843587[/C][C]0.0610478507477505[/C][/ROW]
[ROW][C]0.22[/C][C]9.20019823986089[/C][C]0.0606360535725052[/C][/ROW]
[ROW][C]0.23[/C][C]9.21456982690481[/C][C]0.0602366151901686[/C][/ROW]
[ROW][C]0.24[/C][C]9.22871560467897[/C][C]0.0602756805886948[/C][/ROW]
[ROW][C]0.25[/C][C]9.24275044122877[/C][C]0.0610558537728711[/C][/ROW]
[ROW][C]0.26[/C][C]9.25683991013473[/C][C]0.062827914257187[/C][/ROW]
[ROW][C]0.27[/C][C]9.27117280922218[/C][C]0.0655747784110602[/C][/ROW]
[ROW][C]0.28[/C][C]9.2859300114711[/C][C]0.0691530129979043[/C][/ROW]
[ROW][C]0.29[/C][C]9.30125586997699[/C][C]0.0732759139565978[/C][/ROW]
[ROW][C]0.3[/C][C]9.3172374304106[/C][C]0.0775754013307368[/C][/ROW]
[ROW][C]0.31[/C][C]9.33389483899938[/C][C]0.0816642961814996[/C][/ROW]
[ROW][C]0.32[/C][C]9.35118382525145[/C][C]0.0852349023264776[/C][/ROW]
[ROW][C]0.33[/C][C]9.369008477439[/C][C]0.0880766787445212[/C][/ROW]
[ROW][C]0.34[/C][C]9.38724035874983[/C][C]0.0901315890400383[/C][/ROW]
[ROW][C]0.35[/C][C]9.40573892252042[/C][C]0.0914262770379653[/C][/ROW]
[ROW][C]0.36[/C][C]9.42436847608628[/C][C]0.0920922435664092[/C][/ROW]
[ROW][C]0.37[/C][C]9.44300848351712[/C][C]0.092203098772329[/C][/ROW]
[ROW][C]0.38[/C][C]9.46155625720236[/C][C]0.09192632623876[/C][/ROW]
[ROW][C]0.39[/C][C]9.47992333172067[/C][C]0.0912585486980026[/C][/ROW]
[ROW][C]0.4[/C][C]9.49802837108805[/C][C]0.0902036871023864[/C][/ROW]
[ROW][C]0.41[/C][C]9.51578995537867[/C][C]0.0887094113436294[/C][/ROW]
[ROW][C]0.42[/C][C]9.53312203566546[/C][C]0.0867086027972932[/C][/ROW]
[ROW][C]0.43[/C][C]9.54993357724369[/C][C]0.084133582742779[/C][/ROW]
[ROW][C]0.44[/C][C]9.5661324323178[/C][C]0.081023090214923[/C][/ROW]
[ROW][C]0.45[/C][C]9.58163226518968[/C][C]0.0773994582890781[/C][/ROW]
[ROW][C]0.46[/C][C]9.59636069051475[/C][C]0.0733653846925876[/C][/ROW]
[ROW][C]0.47[/C][C]9.61026674545321[/C][C]0.0690711733889912[/C][/ROW]
[ROW][C]0.48[/C][C]9.6233262737244[/C][C]0.0646762911005497[/C][/ROW]
[ROW][C]0.49[/C][C]9.6355445220621[/C][C]0.060336676373864[/C][/ROW]
[ROW][C]0.5[/C][C]9.646955993983[/C][C]0.0562472776088116[/C][/ROW]
[ROW][C]0.51[/C][C]9.6576221842278[/C][C]0.0524957833566972[/C][/ROW]
[ROW][C]0.52[/C][C]9.6676281254644[/C][C]0.0492328253947494[/C][/ROW]
[ROW][C]0.53[/C][C]9.67707869233155[/C][C]0.0465395608141389[/C][/ROW]
[ROW][C]0.54[/C][C]9.68609536268294[/C][C]0.0444973447436227[/C][/ROW]
[ROW][C]0.55[/C][C]9.6948137094925[/C][C]0.0431513263497285[/C][/ROW]
[ROW][C]0.56[/C][C]9.70338139606864[/C][C]0.0425617918122904[/C][/ROW]
[ROW][C]0.57[/C][C]9.71195599933973[/C][C]0.0427947450706019[/C][/ROW]
[ROW][C]0.58[/C][C]9.72070172508002[/C][C]0.0438989114637618[/C][/ROW]
[ROW][C]0.59[/C][C]9.72978411959685[/C][C]0.0458553456660483[/C][/ROW]
[ROW][C]0.6[/C][C]9.73936228182543[/C][C]0.0485978490162165[/C][/ROW]
[ROW][C]0.61[/C][C]9.74957879985603[/C][C]0.0520120580925565[/C][/ROW]
[ROW][C]0.62[/C][C]9.76054852375929[/C][C]0.0559156747863775[/C][/ROW]
[ROW][C]0.63[/C][C]9.77234809160986[/C][C]0.0600463170856496[/C][/ROW]
[ROW][C]0.64[/C][C]9.7850085600353[/C][C]0.0641310999683912[/C][/ROW]
[ROW][C]0.65[/C][C]9.79851332164103[/C][C]0.0679033851357511[/C][/ROW]
[ROW][C]0.66[/C][C]9.8128026358955[/C][C]0.0711514985909957[/C][/ROW]
[ROW][C]0.67[/C][C]9.8277846822418[/C][C]0.0737096394501075[/C][/ROW]
[ROW][C]0.68[/C][C]9.84335139019042[/C][C]0.075562658798414[/C][/ROW]
[ROW][C]0.69[/C][C]9.8593958586141[/C][C]0.0767837854911368[/C][/ROW]
[ROW][C]0.7[/C][C]9.87582738634265[/C][C]0.077509954742133[/C][/ROW]
[ROW][C]0.71[/C][C]9.89258029987056[/C][C]0.077930800444034[/C][/ROW]
[ROW][C]0.72[/C][C]9.90961395347105[/C][C]0.0782068764288375[/C][/ROW]
[ROW][C]0.73[/C][C]9.9269033142856[/C][C]0.078422440604762[/C][/ROW]
[ROW][C]0.74[/C][C]9.94442204594599[/C][C]0.0785591046649242[/C][/ROW]
[ROW][C]0.75[/C][C]9.96212245656812[/C][C]0.0784896892103624[/C][/ROW]
[ROW][C]0.76[/C][C]9.97991851998053[/C][C]0.0779760034552038[/C][/ROW]
[ROW][C]0.77[/C][C]9.99767887867728[/C][C]0.0767651057226043[/C][/ROW]
[ROW][C]0.78[/C][C]10.0152358745154[/C][C]0.0746602601122525[/C][/ROW]
[ROW][C]0.79[/C][C]10.0324140504274[/C][C]0.071619513266757[/C][/ROW]
[ROW][C]0.8[/C][C]10.0490774241649[/C][C]0.0678054169985463[/C][/ROW]
[ROW][C]0.81[/C][C]10.065189793312[/C][C]0.0636744889598328[/C][/ROW]
[ROW][C]0.82[/C][C]10.0808773361091[/C][C]0.059935286665401[/C][/ROW]
[ROW][C]0.83[/C][C]10.0964787431059[/C][C]0.0575479874860493[/C][/ROW]
[ROW][C]0.84[/C][C]10.1125656351412[/C][C]0.0575442515804558[/C][/ROW]
[ROW][C]0.85[/C][C]10.1299155220237[/C][C]0.0607353505051485[/C][/ROW]
[ROW][C]0.86[/C][C]10.1494222798655[/C][C]0.0673270108285344[/C][/ROW]
[ROW][C]0.87[/C][C]10.1719384466245[/C][C]0.0767371205367042[/C][/ROW]
[ROW][C]0.88[/C][C]10.1980649871381[/C][C]0.087493946622545[/C][/ROW]
[ROW][C]0.89[/C][C]10.2279411238072[/C][C]0.097462650501493[/C][/ROW]
[ROW][C]0.9[/C][C]10.2611320001611[/C][C]0.104258336484155[/C][/ROW]
[ROW][C]0.91[/C][C]10.2967360003546[/C][C]0.106071033960652[/C][/ROW]
[ROW][C]0.92[/C][C]10.3337832805665[/C][C]0.102721668903804[/C][/ROW]
[ROW][C]0.93[/C][C]10.3718238813371[/C][C]0.0964607115637436[/C][/ROW]
[ROW][C]0.94[/C][C]10.4113451968293[/C][C]0.0915841336765361[/C][/ROW]
[ROW][C]0.95[/C][C]10.4535472684705[/C][C]0.091189502264341[/C][/ROW]
[ROW][C]0.96[/C][C]10.4994119970948[/C][C]0.0922834119047068[/C][/ROW]
[ROW][C]0.97[/C][C]10.5488284521292[/C][C]0.087368654833711[/C][/ROW]
[ROW][C]0.98[/C][C]10.6002395727002[/C][C]0.0758935660624434[/C][/ROW]
[ROW][C]0.99[/C][C]10.6484889157232[/C][C]0.0727704555048751[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38952&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38952&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
0.018.567097832091220.0466850763032952
0.028.60238581228320.0632882112683507
0.038.645874869460080.0829060741818595
0.048.694208229225840.102462632340316
0.058.745907838721540.119494622158332
0.068.799307289175280.130194244382679
0.078.852024155320830.131730105431040
0.088.901421898995580.124183279435509
0.098.945366458726330.110271625818824
0.18.982762716684170.0939050206776875
0.119.013650556339990.0786234938308859
0.129.038932600020680.0667434411927971
0.139.059946960523250.0591457929264168
0.149.07807766541740.0555236211483596
0.159.09449948958210.0548391503237688
0.169.110065805508020.0559157797059805
0.179.125302282003910.0576754340763719
0.189.140460929659230.0593975017961988
0.199.15559916905460.0605960208843868
0.29.17066190307010.061127957242803
0.219.185554258435870.0610478507477505
0.229.200198239860890.0606360535725052
0.239.214569826904810.0602366151901686
0.249.228715604678970.0602756805886948
0.259.242750441228770.0610558537728711
0.269.256839910134730.062827914257187
0.279.271172809222180.0655747784110602
0.289.28593001147110.0691530129979043
0.299.301255869976990.0732759139565978
0.39.31723743041060.0775754013307368
0.319.333894838999380.0816642961814996
0.329.351183825251450.0852349023264776
0.339.3690084774390.0880766787445212
0.349.387240358749830.0901315890400383
0.359.405738922520420.0914262770379653
0.369.424368476086280.0920922435664092
0.379.443008483517120.092203098772329
0.389.461556257202360.09192632623876
0.399.479923331720670.0912585486980026
0.49.498028371088050.0902036871023864
0.419.515789955378670.0887094113436294
0.429.533122035665460.0867086027972932
0.439.549933577243690.084133582742779
0.449.56613243231780.081023090214923
0.459.581632265189680.0773994582890781
0.469.596360690514750.0733653846925876
0.479.610266745453210.0690711733889912
0.489.62332627372440.0646762911005497
0.499.63554452206210.060336676373864
0.59.6469559939830.0562472776088116
0.519.65762218422780.0524957833566972
0.529.66762812546440.0492328253947494
0.539.677078692331550.0465395608141389
0.549.686095362682940.0444973447436227
0.559.69481370949250.0431513263497285
0.569.703381396068640.0425617918122904
0.579.711955999339730.0427947450706019
0.589.720701725080020.0438989114637618
0.599.729784119596850.0458553456660483
0.69.739362281825430.0485978490162165
0.619.749578799856030.0520120580925565
0.629.760548523759290.0559156747863775
0.639.772348091609860.0600463170856496
0.649.78500856003530.0641310999683912
0.659.798513321641030.0679033851357511
0.669.81280263589550.0711514985909957
0.679.82778468224180.0737096394501075
0.689.843351390190420.075562658798414
0.699.85939585861410.0767837854911368
0.79.875827386342650.077509954742133
0.719.892580299870560.077930800444034
0.729.909613953471050.0782068764288375
0.739.92690331428560.078422440604762
0.749.944422045945990.0785591046649242
0.759.962122456568120.0784896892103624
0.769.979918519980530.0779760034552038
0.779.997678878677280.0767651057226043
0.7810.01523587451540.0746602601122525
0.7910.03241405042740.071619513266757
0.810.04907742416490.0678054169985463
0.8110.0651897933120.0636744889598328
0.8210.08087733610910.059935286665401
0.8310.09647874310590.0575479874860493
0.8410.11256563514120.0575442515804558
0.8510.12991552202370.0607353505051485
0.8610.14942227986550.0673270108285344
0.8710.17193844662450.0767371205367042
0.8810.19806498713810.087493946622545
0.8910.22794112380720.097462650501493
0.910.26113200016110.104258336484155
0.9110.29673600035460.106071033960652
0.9210.33378328056650.102721668903804
0.9310.37182388133710.0964607115637436
0.9410.41134519682930.0915841336765361
0.9510.45354726847050.091189502264341
0.9610.49941199709480.0922834119047068
0.9710.54882845212920.087368654833711
0.9810.60023957270020.0758935660624434
0.9910.64848891572320.0727704555048751


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')