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Author's title

Author*Unverified author*
R Software Modulerwasp_table.wasp
Title produced by softwareFrequency Table
Date of computationFri, 19 Sep 2014 15:03:53 +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/Sep/19/t1411135487imnaqt8l8z1xt56.htm/, Retrieved Mon, 13 May 2024 02:01:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=235896, Retrieved Mon, 13 May 2024 02:01:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVrouwen, WWB, werk, wet, bijstand, aantal, periodes
Estimated Impact128
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Frequency Table] [Vrouwen met een W...] [2014-09-19 14:03:53] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
239050
238600
236980
236050
234870
233060
231370
230300
228340
226760
223550
221460
220560
220350
219500
218800
218130
217150
216430
215310
213780
213040
211940
212270
212540
213790
214400
215520
216690
217630
218710
219360
219800
221110
221320
225230
227340
228930
230340
231270
231830
232450
233220
233520
234520
234860
236560
238310
239690
240700
241330
241580
241670
241970
241690
241410
242130
242130
243320
242030
242740
243050
243360
243940
244270
244350
244260
244230
245130
246740
247910
249590
251610
253430
255290
256710
257190
257820
257460
257970
259520
261340
263150
265310
267370
269120
271000
272000




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=235896&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=235896&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=235896&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Frequency Table 1
LevelNon-cumul.Cumulative
Abs.Rel.Abs.Rel.
21194010.011410.0114
21227010.011420.0227
21254010.011430.0341
21304010.011440.0455
21378010.011450.0568
21379010.011460.0682
21440010.011470.0795
21531010.011480.0909
21552010.011490.1023
21643010.0114100.1136
21669010.0114110.125
21715010.0114120.1364
21763010.0114130.1477
21813010.0114140.1591
21871010.0114150.1705
21880010.0114160.1818
21936010.0114170.1932
21950010.0114180.2045
21980010.0114190.2159
22035010.0114200.2273
22056010.0114210.2386
22111010.0114220.25
22132010.0114230.2614
22146010.0114240.2727
22355010.0114250.2841
22523010.0114260.2955
22676010.0114270.3068
22734010.0114280.3182
22834010.0114290.3295
22893010.0114300.3409
23030010.0114310.3523
23034010.0114320.3636
23127010.0114330.375
23137010.0114340.3864
23183010.0114350.3977
23245010.0114360.4091
23306010.0114370.4205
23322010.0114380.4318
23352010.0114390.4432
23452010.0114400.4545
23486010.0114410.4659
23487010.0114420.4773
23605010.0114430.4886
23656010.0114440.5
23698010.0114450.5114
23831010.0114460.5227
23860010.0114470.5341
23905010.0114480.5455
23969010.0114490.5568
24070010.0114500.5682
24133010.0114510.5795
24141010.0114520.5909
24158010.0114530.6023
24167010.0114540.6136
24169010.0114550.625
24197010.0114560.6364
24203010.0114570.6477
24213020.0227590.6705
24274010.0114600.6818
24305010.0114610.6932
24332010.0114620.7045
24336010.0114630.7159
24394010.0114640.7273
24423010.0114650.7386
24426010.0114660.75
24427010.0114670.7614
24435010.0114680.7727
24513010.0114690.7841
24674010.0114700.7955
24791010.0114710.8068
24959010.0114720.8182
25161010.0114730.8295
25343010.0114740.8409
25529010.0114750.8523
25671010.0114760.8636
25719010.0114770.875
25746010.0114780.8864
25782010.0114790.8977
25797010.0114800.9091
25952010.0114810.9205
26134010.0114820.9318
26315010.0114830.9432
26531010.0114840.9545
26737010.0114850.9659
26912010.0114860.9773
27100010.0114870.9886
27200010.0114881

\begin{tabular}{lllllllll}
\hline
Frequency Table 1 \tabularnewline
Level & Non-cumul. & Cumulative \tabularnewline
 & Abs. & Rel. & Abs. & Rel. \tabularnewline
211940 & 1 & 0.0114 & 1 & 0.0114 \tabularnewline
212270 & 1 & 0.0114 & 2 & 0.0227 \tabularnewline
212540 & 1 & 0.0114 & 3 & 0.0341 \tabularnewline
213040 & 1 & 0.0114 & 4 & 0.0455 \tabularnewline
213780 & 1 & 0.0114 & 5 & 0.0568 \tabularnewline
213790 & 1 & 0.0114 & 6 & 0.0682 \tabularnewline
214400 & 1 & 0.0114 & 7 & 0.0795 \tabularnewline
215310 & 1 & 0.0114 & 8 & 0.0909 \tabularnewline
215520 & 1 & 0.0114 & 9 & 0.1023 \tabularnewline
216430 & 1 & 0.0114 & 10 & 0.1136 \tabularnewline
216690 & 1 & 0.0114 & 11 & 0.125 \tabularnewline
217150 & 1 & 0.0114 & 12 & 0.1364 \tabularnewline
217630 & 1 & 0.0114 & 13 & 0.1477 \tabularnewline
218130 & 1 & 0.0114 & 14 & 0.1591 \tabularnewline
218710 & 1 & 0.0114 & 15 & 0.1705 \tabularnewline
218800 & 1 & 0.0114 & 16 & 0.1818 \tabularnewline
219360 & 1 & 0.0114 & 17 & 0.1932 \tabularnewline
219500 & 1 & 0.0114 & 18 & 0.2045 \tabularnewline
219800 & 1 & 0.0114 & 19 & 0.2159 \tabularnewline
220350 & 1 & 0.0114 & 20 & 0.2273 \tabularnewline
220560 & 1 & 0.0114 & 21 & 0.2386 \tabularnewline
221110 & 1 & 0.0114 & 22 & 0.25 \tabularnewline
221320 & 1 & 0.0114 & 23 & 0.2614 \tabularnewline
221460 & 1 & 0.0114 & 24 & 0.2727 \tabularnewline
223550 & 1 & 0.0114 & 25 & 0.2841 \tabularnewline
225230 & 1 & 0.0114 & 26 & 0.2955 \tabularnewline
226760 & 1 & 0.0114 & 27 & 0.3068 \tabularnewline
227340 & 1 & 0.0114 & 28 & 0.3182 \tabularnewline
228340 & 1 & 0.0114 & 29 & 0.3295 \tabularnewline
228930 & 1 & 0.0114 & 30 & 0.3409 \tabularnewline
230300 & 1 & 0.0114 & 31 & 0.3523 \tabularnewline
230340 & 1 & 0.0114 & 32 & 0.3636 \tabularnewline
231270 & 1 & 0.0114 & 33 & 0.375 \tabularnewline
231370 & 1 & 0.0114 & 34 & 0.3864 \tabularnewline
231830 & 1 & 0.0114 & 35 & 0.3977 \tabularnewline
232450 & 1 & 0.0114 & 36 & 0.4091 \tabularnewline
233060 & 1 & 0.0114 & 37 & 0.4205 \tabularnewline
233220 & 1 & 0.0114 & 38 & 0.4318 \tabularnewline
233520 & 1 & 0.0114 & 39 & 0.4432 \tabularnewline
234520 & 1 & 0.0114 & 40 & 0.4545 \tabularnewline
234860 & 1 & 0.0114 & 41 & 0.4659 \tabularnewline
234870 & 1 & 0.0114 & 42 & 0.4773 \tabularnewline
236050 & 1 & 0.0114 & 43 & 0.4886 \tabularnewline
236560 & 1 & 0.0114 & 44 & 0.5 \tabularnewline
236980 & 1 & 0.0114 & 45 & 0.5114 \tabularnewline
238310 & 1 & 0.0114 & 46 & 0.5227 \tabularnewline
238600 & 1 & 0.0114 & 47 & 0.5341 \tabularnewline
239050 & 1 & 0.0114 & 48 & 0.5455 \tabularnewline
239690 & 1 & 0.0114 & 49 & 0.5568 \tabularnewline
240700 & 1 & 0.0114 & 50 & 0.5682 \tabularnewline
241330 & 1 & 0.0114 & 51 & 0.5795 \tabularnewline
241410 & 1 & 0.0114 & 52 & 0.5909 \tabularnewline
241580 & 1 & 0.0114 & 53 & 0.6023 \tabularnewline
241670 & 1 & 0.0114 & 54 & 0.6136 \tabularnewline
241690 & 1 & 0.0114 & 55 & 0.625 \tabularnewline
241970 & 1 & 0.0114 & 56 & 0.6364 \tabularnewline
242030 & 1 & 0.0114 & 57 & 0.6477 \tabularnewline
242130 & 2 & 0.0227 & 59 & 0.6705 \tabularnewline
242740 & 1 & 0.0114 & 60 & 0.6818 \tabularnewline
243050 & 1 & 0.0114 & 61 & 0.6932 \tabularnewline
243320 & 1 & 0.0114 & 62 & 0.7045 \tabularnewline
243360 & 1 & 0.0114 & 63 & 0.7159 \tabularnewline
243940 & 1 & 0.0114 & 64 & 0.7273 \tabularnewline
244230 & 1 & 0.0114 & 65 & 0.7386 \tabularnewline
244260 & 1 & 0.0114 & 66 & 0.75 \tabularnewline
244270 & 1 & 0.0114 & 67 & 0.7614 \tabularnewline
244350 & 1 & 0.0114 & 68 & 0.7727 \tabularnewline
245130 & 1 & 0.0114 & 69 & 0.7841 \tabularnewline
246740 & 1 & 0.0114 & 70 & 0.7955 \tabularnewline
247910 & 1 & 0.0114 & 71 & 0.8068 \tabularnewline
249590 & 1 & 0.0114 & 72 & 0.8182 \tabularnewline
251610 & 1 & 0.0114 & 73 & 0.8295 \tabularnewline
253430 & 1 & 0.0114 & 74 & 0.8409 \tabularnewline
255290 & 1 & 0.0114 & 75 & 0.8523 \tabularnewline
256710 & 1 & 0.0114 & 76 & 0.8636 \tabularnewline
257190 & 1 & 0.0114 & 77 & 0.875 \tabularnewline
257460 & 1 & 0.0114 & 78 & 0.8864 \tabularnewline
257820 & 1 & 0.0114 & 79 & 0.8977 \tabularnewline
257970 & 1 & 0.0114 & 80 & 0.9091 \tabularnewline
259520 & 1 & 0.0114 & 81 & 0.9205 \tabularnewline
261340 & 1 & 0.0114 & 82 & 0.9318 \tabularnewline
263150 & 1 & 0.0114 & 83 & 0.9432 \tabularnewline
265310 & 1 & 0.0114 & 84 & 0.9545 \tabularnewline
267370 & 1 & 0.0114 & 85 & 0.9659 \tabularnewline
269120 & 1 & 0.0114 & 86 & 0.9773 \tabularnewline
271000 & 1 & 0.0114 & 87 & 0.9886 \tabularnewline
272000 & 1 & 0.0114 & 88 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=235896&T=1

[TABLE]
[ROW][C]Frequency Table 1[/C][/ROW]
[ROW][C]Level[/C][C]Non-cumul.[/C][C]Cumulative[/C][/ROW]
[ROW][C][/C][C]Abs.[/C][C]Rel.[/C][C]Abs.[/C][C]Rel.[/C][/ROW]
[ROW][C]211940[/C][C]1[/C][C]0.0114[/C][C]1[/C][C]0.0114[/C][/ROW]
[ROW][C]212270[/C][C]1[/C][C]0.0114[/C][C]2[/C][C]0.0227[/C][/ROW]
[ROW][C]212540[/C][C]1[/C][C]0.0114[/C][C]3[/C][C]0.0341[/C][/ROW]
[ROW][C]213040[/C][C]1[/C][C]0.0114[/C][C]4[/C][C]0.0455[/C][/ROW]
[ROW][C]213780[/C][C]1[/C][C]0.0114[/C][C]5[/C][C]0.0568[/C][/ROW]
[ROW][C]213790[/C][C]1[/C][C]0.0114[/C][C]6[/C][C]0.0682[/C][/ROW]
[ROW][C]214400[/C][C]1[/C][C]0.0114[/C][C]7[/C][C]0.0795[/C][/ROW]
[ROW][C]215310[/C][C]1[/C][C]0.0114[/C][C]8[/C][C]0.0909[/C][/ROW]
[ROW][C]215520[/C][C]1[/C][C]0.0114[/C][C]9[/C][C]0.1023[/C][/ROW]
[ROW][C]216430[/C][C]1[/C][C]0.0114[/C][C]10[/C][C]0.1136[/C][/ROW]
[ROW][C]216690[/C][C]1[/C][C]0.0114[/C][C]11[/C][C]0.125[/C][/ROW]
[ROW][C]217150[/C][C]1[/C][C]0.0114[/C][C]12[/C][C]0.1364[/C][/ROW]
[ROW][C]217630[/C][C]1[/C][C]0.0114[/C][C]13[/C][C]0.1477[/C][/ROW]
[ROW][C]218130[/C][C]1[/C][C]0.0114[/C][C]14[/C][C]0.1591[/C][/ROW]
[ROW][C]218710[/C][C]1[/C][C]0.0114[/C][C]15[/C][C]0.1705[/C][/ROW]
[ROW][C]218800[/C][C]1[/C][C]0.0114[/C][C]16[/C][C]0.1818[/C][/ROW]
[ROW][C]219360[/C][C]1[/C][C]0.0114[/C][C]17[/C][C]0.1932[/C][/ROW]
[ROW][C]219500[/C][C]1[/C][C]0.0114[/C][C]18[/C][C]0.2045[/C][/ROW]
[ROW][C]219800[/C][C]1[/C][C]0.0114[/C][C]19[/C][C]0.2159[/C][/ROW]
[ROW][C]220350[/C][C]1[/C][C]0.0114[/C][C]20[/C][C]0.2273[/C][/ROW]
[ROW][C]220560[/C][C]1[/C][C]0.0114[/C][C]21[/C][C]0.2386[/C][/ROW]
[ROW][C]221110[/C][C]1[/C][C]0.0114[/C][C]22[/C][C]0.25[/C][/ROW]
[ROW][C]221320[/C][C]1[/C][C]0.0114[/C][C]23[/C][C]0.2614[/C][/ROW]
[ROW][C]221460[/C][C]1[/C][C]0.0114[/C][C]24[/C][C]0.2727[/C][/ROW]
[ROW][C]223550[/C][C]1[/C][C]0.0114[/C][C]25[/C][C]0.2841[/C][/ROW]
[ROW][C]225230[/C][C]1[/C][C]0.0114[/C][C]26[/C][C]0.2955[/C][/ROW]
[ROW][C]226760[/C][C]1[/C][C]0.0114[/C][C]27[/C][C]0.3068[/C][/ROW]
[ROW][C]227340[/C][C]1[/C][C]0.0114[/C][C]28[/C][C]0.3182[/C][/ROW]
[ROW][C]228340[/C][C]1[/C][C]0.0114[/C][C]29[/C][C]0.3295[/C][/ROW]
[ROW][C]228930[/C][C]1[/C][C]0.0114[/C][C]30[/C][C]0.3409[/C][/ROW]
[ROW][C]230300[/C][C]1[/C][C]0.0114[/C][C]31[/C][C]0.3523[/C][/ROW]
[ROW][C]230340[/C][C]1[/C][C]0.0114[/C][C]32[/C][C]0.3636[/C][/ROW]
[ROW][C]231270[/C][C]1[/C][C]0.0114[/C][C]33[/C][C]0.375[/C][/ROW]
[ROW][C]231370[/C][C]1[/C][C]0.0114[/C][C]34[/C][C]0.3864[/C][/ROW]
[ROW][C]231830[/C][C]1[/C][C]0.0114[/C][C]35[/C][C]0.3977[/C][/ROW]
[ROW][C]232450[/C][C]1[/C][C]0.0114[/C][C]36[/C][C]0.4091[/C][/ROW]
[ROW][C]233060[/C][C]1[/C][C]0.0114[/C][C]37[/C][C]0.4205[/C][/ROW]
[ROW][C]233220[/C][C]1[/C][C]0.0114[/C][C]38[/C][C]0.4318[/C][/ROW]
[ROW][C]233520[/C][C]1[/C][C]0.0114[/C][C]39[/C][C]0.4432[/C][/ROW]
[ROW][C]234520[/C][C]1[/C][C]0.0114[/C][C]40[/C][C]0.4545[/C][/ROW]
[ROW][C]234860[/C][C]1[/C][C]0.0114[/C][C]41[/C][C]0.4659[/C][/ROW]
[ROW][C]234870[/C][C]1[/C][C]0.0114[/C][C]42[/C][C]0.4773[/C][/ROW]
[ROW][C]236050[/C][C]1[/C][C]0.0114[/C][C]43[/C][C]0.4886[/C][/ROW]
[ROW][C]236560[/C][C]1[/C][C]0.0114[/C][C]44[/C][C]0.5[/C][/ROW]
[ROW][C]236980[/C][C]1[/C][C]0.0114[/C][C]45[/C][C]0.5114[/C][/ROW]
[ROW][C]238310[/C][C]1[/C][C]0.0114[/C][C]46[/C][C]0.5227[/C][/ROW]
[ROW][C]238600[/C][C]1[/C][C]0.0114[/C][C]47[/C][C]0.5341[/C][/ROW]
[ROW][C]239050[/C][C]1[/C][C]0.0114[/C][C]48[/C][C]0.5455[/C][/ROW]
[ROW][C]239690[/C][C]1[/C][C]0.0114[/C][C]49[/C][C]0.5568[/C][/ROW]
[ROW][C]240700[/C][C]1[/C][C]0.0114[/C][C]50[/C][C]0.5682[/C][/ROW]
[ROW][C]241330[/C][C]1[/C][C]0.0114[/C][C]51[/C][C]0.5795[/C][/ROW]
[ROW][C]241410[/C][C]1[/C][C]0.0114[/C][C]52[/C][C]0.5909[/C][/ROW]
[ROW][C]241580[/C][C]1[/C][C]0.0114[/C][C]53[/C][C]0.6023[/C][/ROW]
[ROW][C]241670[/C][C]1[/C][C]0.0114[/C][C]54[/C][C]0.6136[/C][/ROW]
[ROW][C]241690[/C][C]1[/C][C]0.0114[/C][C]55[/C][C]0.625[/C][/ROW]
[ROW][C]241970[/C][C]1[/C][C]0.0114[/C][C]56[/C][C]0.6364[/C][/ROW]
[ROW][C]242030[/C][C]1[/C][C]0.0114[/C][C]57[/C][C]0.6477[/C][/ROW]
[ROW][C]242130[/C][C]2[/C][C]0.0227[/C][C]59[/C][C]0.6705[/C][/ROW]
[ROW][C]242740[/C][C]1[/C][C]0.0114[/C][C]60[/C][C]0.6818[/C][/ROW]
[ROW][C]243050[/C][C]1[/C][C]0.0114[/C][C]61[/C][C]0.6932[/C][/ROW]
[ROW][C]243320[/C][C]1[/C][C]0.0114[/C][C]62[/C][C]0.7045[/C][/ROW]
[ROW][C]243360[/C][C]1[/C][C]0.0114[/C][C]63[/C][C]0.7159[/C][/ROW]
[ROW][C]243940[/C][C]1[/C][C]0.0114[/C][C]64[/C][C]0.7273[/C][/ROW]
[ROW][C]244230[/C][C]1[/C][C]0.0114[/C][C]65[/C][C]0.7386[/C][/ROW]
[ROW][C]244260[/C][C]1[/C][C]0.0114[/C][C]66[/C][C]0.75[/C][/ROW]
[ROW][C]244270[/C][C]1[/C][C]0.0114[/C][C]67[/C][C]0.7614[/C][/ROW]
[ROW][C]244350[/C][C]1[/C][C]0.0114[/C][C]68[/C][C]0.7727[/C][/ROW]
[ROW][C]245130[/C][C]1[/C][C]0.0114[/C][C]69[/C][C]0.7841[/C][/ROW]
[ROW][C]246740[/C][C]1[/C][C]0.0114[/C][C]70[/C][C]0.7955[/C][/ROW]
[ROW][C]247910[/C][C]1[/C][C]0.0114[/C][C]71[/C][C]0.8068[/C][/ROW]
[ROW][C]249590[/C][C]1[/C][C]0.0114[/C][C]72[/C][C]0.8182[/C][/ROW]
[ROW][C]251610[/C][C]1[/C][C]0.0114[/C][C]73[/C][C]0.8295[/C][/ROW]
[ROW][C]253430[/C][C]1[/C][C]0.0114[/C][C]74[/C][C]0.8409[/C][/ROW]
[ROW][C]255290[/C][C]1[/C][C]0.0114[/C][C]75[/C][C]0.8523[/C][/ROW]
[ROW][C]256710[/C][C]1[/C][C]0.0114[/C][C]76[/C][C]0.8636[/C][/ROW]
[ROW][C]257190[/C][C]1[/C][C]0.0114[/C][C]77[/C][C]0.875[/C][/ROW]
[ROW][C]257460[/C][C]1[/C][C]0.0114[/C][C]78[/C][C]0.8864[/C][/ROW]
[ROW][C]257820[/C][C]1[/C][C]0.0114[/C][C]79[/C][C]0.8977[/C][/ROW]
[ROW][C]257970[/C][C]1[/C][C]0.0114[/C][C]80[/C][C]0.9091[/C][/ROW]
[ROW][C]259520[/C][C]1[/C][C]0.0114[/C][C]81[/C][C]0.9205[/C][/ROW]
[ROW][C]261340[/C][C]1[/C][C]0.0114[/C][C]82[/C][C]0.9318[/C][/ROW]
[ROW][C]263150[/C][C]1[/C][C]0.0114[/C][C]83[/C][C]0.9432[/C][/ROW]
[ROW][C]265310[/C][C]1[/C][C]0.0114[/C][C]84[/C][C]0.9545[/C][/ROW]
[ROW][C]267370[/C][C]1[/C][C]0.0114[/C][C]85[/C][C]0.9659[/C][/ROW]
[ROW][C]269120[/C][C]1[/C][C]0.0114[/C][C]86[/C][C]0.9773[/C][/ROW]
[ROW][C]271000[/C][C]1[/C][C]0.0114[/C][C]87[/C][C]0.9886[/C][/ROW]
[ROW][C]272000[/C][C]1[/C][C]0.0114[/C][C]88[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=235896&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=235896&T=1

As an alternative you can also use a QR Code:  

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

Frequency Table 1
LevelNon-cumul.Cumulative
Abs.Rel.Abs.Rel.
21194010.011410.0114
21227010.011420.0227
21254010.011430.0341
21304010.011440.0455
21378010.011450.0568
21379010.011460.0682
21440010.011470.0795
21531010.011480.0909
21552010.011490.1023
21643010.0114100.1136
21669010.0114110.125
21715010.0114120.1364
21763010.0114130.1477
21813010.0114140.1591
21871010.0114150.1705
21880010.0114160.1818
21936010.0114170.1932
21950010.0114180.2045
21980010.0114190.2159
22035010.0114200.2273
22056010.0114210.2386
22111010.0114220.25
22132010.0114230.2614
22146010.0114240.2727
22355010.0114250.2841
22523010.0114260.2955
22676010.0114270.3068
22734010.0114280.3182
22834010.0114290.3295
22893010.0114300.3409
23030010.0114310.3523
23034010.0114320.3636
23127010.0114330.375
23137010.0114340.3864
23183010.0114350.3977
23245010.0114360.4091
23306010.0114370.4205
23322010.0114380.4318
23352010.0114390.4432
23452010.0114400.4545
23486010.0114410.4659
23487010.0114420.4773
23605010.0114430.4886
23656010.0114440.5
23698010.0114450.5114
23831010.0114460.5227
23860010.0114470.5341
23905010.0114480.5455
23969010.0114490.5568
24070010.0114500.5682
24133010.0114510.5795
24141010.0114520.5909
24158010.0114530.6023
24167010.0114540.6136
24169010.0114550.625
24197010.0114560.6364
24203010.0114570.6477
24213020.0227590.6705
24274010.0114600.6818
24305010.0114610.6932
24332010.0114620.7045
24336010.0114630.7159
24394010.0114640.7273
24423010.0114650.7386
24426010.0114660.75
24427010.0114670.7614
24435010.0114680.7727
24513010.0114690.7841
24674010.0114700.7955
24791010.0114710.8068
24959010.0114720.8182
25161010.0114730.8295
25343010.0114740.8409
25529010.0114750.8523
25671010.0114760.8636
25719010.0114770.875
25746010.0114780.8864
25782010.0114790.8977
25797010.0114800.9091
25952010.0114810.9205
26134010.0114820.9318
26315010.0114830.9432
26531010.0114840.9545
26737010.0114850.9659
26912010.0114860.9773
27100010.0114870.9886
27200010.0114881



Parameters (Session):
par1 = Vrouwen met een WWB-uitkering ; par2 = CBS ; par3 = aantal vrouwen met een WWB-uitkering ; par4 = 12 ;
Parameters (R input):
par1 = FALSE ; par2 = 0 ; par3 = 1 ; par4 = 0.25 ; par5 = FALSE ;
R code (references can be found in the software module):
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
if (par5 == 'TRUE') par5 <- TRUE else par5 <- FALSE
xc <- x
if (par1 == 'TRUE') {
xc <- cut(x, quantile(x, probs=seq(par2, par3, par4), na.rm=par5))
}
myt <- as.matrix(table(xc))
myt
cmyt <- cumsum(myt)
smyt <- sum(myt)
breaks <- round((par3-par2)/par4)
bitmap(file='table.png')
hist(x,breaks=breaks)
dev.off()
bitmap(file='table1.png')
hist(cumsum(x),breaks=breaks)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table 1',5,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
if (par1 == 'TRUE') {
a<-table.element(a,'Intervals',header=TRUE)
} else {
a<-table.element(a,'Level',header=TRUE)
}
a<-table.element(a,'Non-cumul.',2,TRUE)
a<-table.element(a,'Cumulative',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
if (par1 == 'TRUE') {
a<-table.element(a,'Lower,Upper',header=TRUE)
} else {
a<-table.element(a,'',header=TRUE)
}
a<-table.element(a,'Abs.',1,TRUE)
a<-table.element(a,'Rel.',1,TRUE)
a<-table.element(a,'Abs.',1,TRUE)
a<-table.element(a,'Rel.',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(myt)) {
a<-table.row.start(a)
a<-table.element(a,rownames(myt)[i],header=TRUE)
a<-table.element(a,myt[i])
a<-table.element(a,round(myt[i]/smyt,4))
a<-table.element(a,cmyt[i])
a<-table.element(a,round(cmyt[i]/smyt,4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')