Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_density.wasp
Title produced by softwareKernel Density Estimation
Date of computationSun, 15 Feb 2009 14:54:16 -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/2009/Feb/15/t1234734930yta6ecqo9f9hxsn.htm/, Retrieved Sat, 11 May 2024 14:45:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=37602, Retrieved Sat, 11 May 2024 14:45:19 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact192
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kernel Density Estimation] [Dichtheidsgrafiek...] [2009-02-15 21:54:16] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-         [Kernel Density Estimation] [Gabriels Wim Dich...] [2009-02-28 14:07:14] [74be16979710d4c4e7c6647856088456]
- RMPD    [Notched Boxplots] [Gabriels Wim Boxp...] [2009-02-28 14:21:52] [74be16979710d4c4e7c6647856088456]
- RMPD    [Notched Boxplots] [Gabriels Wim Boxp...] [2009-02-28 14:37:15] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
374
572
402
589
507
628
698
451
694
0
488
526
343
494
447
0
470
366
517
483
485
530
308
481
437
468
502
408
479
436
410
451
344
411
0
427
454
365
499
416
430
470
325
452
442
488
446
523
594
439
588
503
444
525
375
472
436
458
514
0
472
360
450
549
361
466
387
457
470
396
471
422
404
414
342
459
379
0
410
319
411
371
365
429
333
392
469
432
534
379
436
448
358
492
387
529
475
439
459
361
0
0
394
425
341
455
403
471
523
389
531
468
398
446
355
435
353
0
400
332
389
355
384
406
356
336
351
278
265
229
387
435
317
490
472
440
429
350
489
494
436
436
375
429
0
434
472
362
440
433
400
442
316
432
401
434
488
377
484
377
0
0
300
389
337
376
377
331
339
356
280
249
196
268
379
401
404
397
419
421
407
296
468
475
422
456
339
446
419
346
327
326
403
359
358
421
322
367
394
356
418
344
372
358
373
379
0
348
369
341
390
279
325
354
346
358
296
356
337
360
474
362
440
443
435
429
341
434
329
416
430
307
408
322
0
324
303
369
328
258
372
298
376
306
359
418
311
355
335
345
318
291
340
0
356
419
296
361
371
392
383
286
362
358




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37602&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37602&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37602&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'George Udny Yule' @ 72.249.76.132







Properties of Density Trace
Bandwidth22.0750302305576
#Observations264

\begin{tabular}{lllllllll}
\hline
Properties of Density Trace \tabularnewline
Bandwidth & 22.0750302305576 \tabularnewline
#Observations & 264 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37602&T=1

[TABLE]
[ROW][C]Properties of Density Trace[/C][/ROW]
[ROW][C]Bandwidth[/C][C]22.0750302305576[/C][/ROW]
[ROW][C]#Observations[/C][C]264[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37602&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37602&T=1

As an alternative you can also use a QR Code:  

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

Properties of Density Trace
Bandwidth22.0750302305576
#Observations264



Parameters (Session):
par1 = 0 ;
Parameters (R input):
par1 = 0 ;
R code (references can be found in the software module):
if (par1 == '0') bw <- 'nrd0'
if (par1 != '0') bw <- as.numeric(par1)
bitmap(file='density1.png')
mydensity1<-density(x,bw=bw,kernel='gaussian',na.rm=TRUE)
plot(mydensity1,main='Gaussian Kernel',xlab=xlab,ylab=ylab)
grid()
dev.off()
mydensity1
bitmap(file='density2.png')
mydensity2<-density(x,bw=bw,kernel='epanechnikov',na.rm=TRUE)
plot(mydensity2,main='Epanechnikov Kernel',xlab=xlab,ylab=ylab)
grid()
dev.off()
bitmap(file='density3.png')
mydensity3<-density(x,bw=bw,kernel='rectangular',na.rm=TRUE)
plot(mydensity3,main='Rectangular Kernel',xlab=xlab,ylab=ylab)
grid()
dev.off()
bitmap(file='density4.png')
mydensity4<-density(x,bw=bw,kernel='triangular',na.rm=TRUE)
plot(mydensity4,main='Triangular Kernel',xlab=xlab,ylab=ylab)
grid()
dev.off()
bitmap(file='density5.png')
mydensity5<-density(x,bw=bw,kernel='biweight',na.rm=TRUE)
plot(mydensity5,main='Biweight Kernel',xlab=xlab,ylab=ylab)
grid()
dev.off()
bitmap(file='density6.png')
mydensity6<-density(x,bw=bw,kernel='cosine',na.rm=TRUE)
plot(mydensity6,main='Cosine Kernel',xlab=xlab,ylab=ylab)
grid()
dev.off()
bitmap(file='density7.png')
mydensity7<-density(x,bw=bw,kernel='optcosine',na.rm=TRUE)
plot(mydensity7,main='Optcosine Kernel',xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Properties of Density Trace',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bandwidth',header=TRUE)
a<-table.element(a,mydensity1$bw)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'#Observations',header=TRUE)
a<-table.element(a,mydensity1$n)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')