Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 24 Feb 2010 08:12:52 -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/Feb/24/t1267024447p3qwxo8k645h43z.htm/, Retrieved Thu, 28 Mar 2024 18:36:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73435, Retrieved Thu, 28 Mar 2024 18:36:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W22
Estimated Impact116
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [maandelijkse prod...] [2010-02-10 17:57:47] [7c59b3cb1f989d121e67305e73d2c2d3]
- RMPD  [Histogram] [hoeveelheid gepro...] [2010-02-24 15:05:53] [74be16979710d4c4e7c6647856088456]
-   P       [Histogram] [hoeveelheid gepro...] [2010-02-24 15:12:52] [d41d8cd98f00b204e9800998ecf8427e] [Current]
- RMP         [Kernel Density Estimation] [hoeveelheid gepro...] [2010-02-24 15:25:02] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
196.9
192.1
201.8
186.9
218.0
214.4
227.5
204.1
225.8
223.7
244.7
243.9
257.3
234.5
251.4
243.8
247.4
245.3
262.5
270.0
259.9
262.2
244.9
249.3
268.2
231.2
264.3
252.7
275.5
261.5
275.5
272.3
268.6
270.4
267.7
275.0
272.6
248.6
279.4
270.5
292.8
297.8
296.8
290.9
282.8
312.8
303.2
301.4
289.8
279.6
302.2
299.1
319.7
310.9
315.2
338.5
315.6
321.2
318.5
342.7
261.4
287.0
331.5
326.9
338.6
337.0
358.4
344.5
345.7
344.1
317.4
354.5
345.2
314.1
352.5
361.2
365.9
332.5
364.0
359.1
345.6
366.9
370.2
359.9
366.6
336.3
368.5
374.2
384.3
358.9
407.7
433.3
404.7
392.7
409.7
416.5
414.3
404.3
421.4
372.6
404.7
420.2
438.4
449.1
445.8
413.8
420.5
442.3
438.9
394.5
416.8
402.9
424.5
432.3
484.1
492.7
496.3
471.9
491.2
512.9
482.4
407.9
448.5
431.1
498.8
497.1
517.1
487.7
512.5
550.1
532.5
524.1
515.7
461.0
529.3
467.4
559.8
536.5
531.9
546.5
547.4
536.1
482.8
551.0
532.9
484.1
554.8
537.0
558.0
511.4
502.9
558.6
545.1
574.3
542.2
600.0
588.6
524.4
618.5
580.9
557.2
571.2
597.5
601.7
558.9
600.9
601.0
615.7
578.1
495.9
526.8
522.1
605.1
574.4
609.7
580.7
565.1
590.7
571.5
601.3
567.3
467.9
588.9
579.4
502.6
568.7
616.0
586.2
575.5
599.9
568.2
516.0
493.4
496.8
529.9
491.7
543.2
490.8
554.7
625.7
605.0
645.2
645.2
611.8
600.3
549.8
635.5
617.7
643.5
485.7
689.5
692.0
677.3
704.7
668.6
717.8
689.8
640.4
675.2
528.1
538.0
527.2
655.6
650.6
623.7
748.4
727.4
750.5
678.9
659.5
691.9
639.8
663.8
572.9
592.5
734.8
696.1
589.2
662.9
661.2
672.1
583.7
705.5
631.0
733.3
674.9
695.5
634.1
630.6
635.2
554.1
623.9
679.3
565.6
564.1
637.2
650.8
602.7
587.5
619.2
616.5
637.9
557.9
594.0
668.7
603.3
674.5
573.4
706.0
693.7
627.5
550.7
592.3
660.2
597.3
641.0
663.6
595.9
638.4
665.4
671.4
637.0
685.7
705.8
704.8
734.4
674.2
748.6
763.4
658.0
627.5
528.9
488.3
575.5
735.6
685.3
613.6
629.5
634.7
652.6
728.3
634.3
690.7
676.3
675.4
595.6
712.4
735.8
544.4
567.0
510.0
564.0
630.7
496.7
660.9
601.2
655.2
591.6
606.1
560.7
368.3
371.6
413.9
413.9
389.0
399.2
429.8
395.6
472.0
486.0
525.0
396.0
511.0
525.0
492.0
517.0
525.0
474.0
539.0
468.0
543.0
532.0
565.0
535.0
534.0
546.0
494.0
552.0
511.0
451.0
537.0
494.0
549.0
544.0
598.0
583.0
582.0
589.0
578.0
561.0
592.0
504.0
545.0
547.0
585.0
562.0
520.0
581.0
590.0
562.0
548.0
567.0
542.0
473.0
531.0
462.0
479.0
533.0
552.0
547.0
562.0
524.0
479.0
445.0
406.0
475.0
589.0
495.0
484.0
536.0
555.0
565.0
564.0
573.0
569.0
588.0
546.0
508.0
560.0
558.0
516.0
549.0
595.0
586.0
597.0
592.0
538.0
590.0
576.0
451.0
538.0
555.0
532.0
530.0
553.0
626.0
601.0
573.0
569.0
562.0
468.0
483.0
460.0
411.0
458.0
455.0
600.0
605.0
545.0
549.0
415.0
568.0
577.0
517.0
558.0
518.0
489.0
502.0
569.0
540.0
550.0
557.0
542.0
542.0
582.0
525.0
584.0
562.0
639.0
613.0
604.0
613.0
625.0
654.0
638.0




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73435&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73435&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73435&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' @ 72.249.127.135







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[100,200[15030.0065930.0065936.6e-05
[200,300[250470.1032970.109890.001033
[300,400[350490.1076920.2175820.001077
[400,500[450750.1648350.3824180.001648
[500,600[5501700.3736260.7560440.003736
[600,700[650930.2043960.960440.002044
[700,800]750180.0395610.000396

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[100,200[ & 150 & 3 & 0.006593 & 0.006593 & 6.6e-05 \tabularnewline
[200,300[ & 250 & 47 & 0.103297 & 0.10989 & 0.001033 \tabularnewline
[300,400[ & 350 & 49 & 0.107692 & 0.217582 & 0.001077 \tabularnewline
[400,500[ & 450 & 75 & 0.164835 & 0.382418 & 0.001648 \tabularnewline
[500,600[ & 550 & 170 & 0.373626 & 0.756044 & 0.003736 \tabularnewline
[600,700[ & 650 & 93 & 0.204396 & 0.96044 & 0.002044 \tabularnewline
[700,800] & 750 & 18 & 0.03956 & 1 & 0.000396 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73435&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][100,200[[/C][C]150[/C][C]3[/C][C]0.006593[/C][C]0.006593[/C][C]6.6e-05[/C][/ROW]
[ROW][C][200,300[[/C][C]250[/C][C]47[/C][C]0.103297[/C][C]0.10989[/C][C]0.001033[/C][/ROW]
[ROW][C][300,400[[/C][C]350[/C][C]49[/C][C]0.107692[/C][C]0.217582[/C][C]0.001077[/C][/ROW]
[ROW][C][400,500[[/C][C]450[/C][C]75[/C][C]0.164835[/C][C]0.382418[/C][C]0.001648[/C][/ROW]
[ROW][C][500,600[[/C][C]550[/C][C]170[/C][C]0.373626[/C][C]0.756044[/C][C]0.003736[/C][/ROW]
[ROW][C][600,700[[/C][C]650[/C][C]93[/C][C]0.204396[/C][C]0.96044[/C][C]0.002044[/C][/ROW]
[ROW][C][700,800][/C][C]750[/C][C]18[/C][C]0.03956[/C][C]1[/C][C]0.000396[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73435&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73435&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 (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[100,200[15030.0065930.0065936.6e-05
[200,300[250470.1032970.109890.001033
[300,400[350490.1076920.2175820.001077
[400,500[450750.1648350.3824180.001648
[500,600[5501700.3736260.7560440.003736
[600,700[650930.2043960.960440.002044
[700,800]750180.0395610.000396



Parameters (Session):
par1 = 6 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 6 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
dev.off()
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')