## Free Statistics

of Irreproducible Research!

Author's title
Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSat, 12 Nov 2011 19:40:52 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/12/t1321144975r6opwgz3ut7tf01.htm/, Retrieved Mon, 29 May 2023 09:40:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=141536, Retrieved Mon, 29 May 2023 09:40:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact84
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Bad example of Hi...] [2010-09-25 09:28:23] [b98453cac15ba1066b407e146608df68]
F   P   [Histogram] [Task 3 - Histogram] [2010-10-02 20:26:59] [19f9551d4d95750ef21e9f3cf8fe2131]
-   PD    [Histogram] [WS 6 Yt skewness ...] [2010-11-14 22:22:59] [19f9551d4d95750ef21e9f3cf8fe2131]
- R  D        [Histogram] [WS 6 Linear Regre...] [2011-11-13 00:40:52] [6140f0163e532fc168d2f211324acd0a] [Current]
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Dataseries X:
255
280.2
299.9
339.2
374.2
393.5
389.2
381.7
375.2
369
357.4
352.1
346.5
342.9
340.3
328.3
322.9
314.3
308.9
294
285.6
281.2
280.3
278.8
274.5
270.4
263.4
259.9
258
262.7
284.7
311.3
322.1
327
331.3
333.3
321.4
327
320
314.7
316.7
314.4
321.3
318.2
307.2
301.3
287.5
277.7
274.4
258.8
253.3
251
248.4
249.5
246.1
244.5
243.6
244
240.8
249.8
248
259.4
260.5
260.8
261.3
259.5
256.6
257.9
256.5
254.2
253.3
253.8
255.5
257.1
257.3
253.2
252.8
252
250.7
252.2
250
251
253.4
251.2
255.6
261.1
258.9
259.9
261.2
264.7
267.1
266.4
267.7
268.6
267.5
268.5
268.5
270.5
270.9
270.1
269.3
269.8
270.1
264.9
263.7
264.8
263.7
255.9
276.2
360.1
380.5
373.7
369.8
366.6
359.3
345.8
326.2
324.5
328.1
327.5
324.4
316.5
310.9
301.5
291.7
290.4
287.4
277.7
281.6
288
276
272.9
283
283.3
276.8
284.5
282.7
281.2
287.4
283.1
284
285.5
289.2
292.5
296.4
305.2
303.9
311.5
316.3
316.7
322.5
317.1
309.8
303.8
290.3
293.7
291.7
296.5
289.1
288.5
293.8
297.7
305.4
302.7
302.5
303
294.5
294.1
294.5
297.1
289.4
292.4
287.9
286.6
280.5
272.4
269.2
270.6
267.3
262.5
266.8
268.8
263.1
261.2
266
262.5
265.2
261.3
253.7
249.2
239.1
236.4
235.2
245.2
246.2
247.7
251.4
253.3
254.8
250
249.3
241.5
243.3
248
253
252.9
251.5
251.6
253.5
259.8
334.1
448
445.8
445
448.2
438.2
439.8
423.4
410.8
408.4
406.7
405.9
402.7
405.1
399.6
386.5
381.4
375.2
357.7
359
355
352.7
344.4
343.8
338
339
333.3
334.4
328.3
330.7
330
331.6
351.2
389.4
410.9
442.8
462.8
466.9
461.7
439.2
430.3
416.1
402.5
397.3
403.3
395.9
387.8
378.6
377.1
370.4
362
350.3
348.2
344.6
343.5
342.8
347.6
346.6
349.5
342.1
342
342.8
339.3
348.2
333.7
334.7
354
367.7
363.3
358.4
353.1
343.1
344.6
344.4
333.9
331.7
324.3
321.2
322.4
321.7
320.5
312.8
309.7
315.6
309.7
304.6
302.5
301.5
298.8
291.3
293.6
294.6
285.9
297.6
301.1
293.8
297.7
292.9
292.1
287.2
288.2
283.8
299.9
292.4
293.3
300.8
293.7
293.1
294.4
292.1
291.9
282.5
277.9
287.5
289.2
285.6
293.2
290.8
283.1
275
287.8
287.8
287.4
284
277.8
277.6
304.9
294
300.9
324
332.9
341.6
333.4
348.2
344.7
344.7
329.3
323.5
323.2
317.4
330.1
329.2
334.9
315.8
315.4
319.6
317.3
313.8
315.8
311.3



 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 seconds R Server 'Herman Ole Andreas Wold' @ wold.wessa.net R Framework error message Warning: there are blank lines in the 'Data' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
R Framework error message & Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
deleted and are NOT treated as missing values. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141536&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
deleted and are NOT treated as missing values.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141536&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141536&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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 seconds R Server 'Herman Ole Andreas Wold' @ wold.wessa.net R Framework error message Warning: there are blank lines in the 'Data' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

 Frequency Table (Histogram) Bins Midpoint Abs. Frequency Rel. Frequency Cumul. Rel. Freq. Density [230,240[ 235 3 0.008333 0.008333 0.000833 [240,250[ 245 17 0.047222 0.055556 0.004722 [250,260[ 255 41 0.113889 0.169444 0.011389 [260,270[ 265 32 0.088889 0.258333 0.008889 [270,280[ 275 20 0.055556 0.313889 0.005556 [280,290[ 285 38 0.105556 0.419444 0.010556 [290,300[ 295 37 0.102778 0.522222 0.010278 [300,310[ 305 21 0.058333 0.580556 0.005833 [310,320[ 315 22 0.061111 0.641667 0.006111 [320,330[ 325 25 0.069444 0.711111 0.006944 [330,340[ 335 20 0.055556 0.766667 0.005556 [340,350[ 345 24 0.066667 0.833333 0.006667 [350,360[ 355 12 0.033333 0.866667 0.003333 [360,370[ 365 7 0.019444 0.886111 0.001944 [370,380[ 375 7 0.019444 0.905556 0.001944 [380,390[ 385 7 0.019444 0.925 0.001944 [390,400[ 395 4 0.011111 0.936111 0.001111 [400,410[ 405 7 0.019444 0.955556 0.001944 [410,420[ 415 3 0.008333 0.963889 0.000833 [420,430[ 425 1 0.002778 0.966667 0.000278 [430,440[ 435 4 0.011111 0.977778 0.001111 [440,450[ 445 5 0.013889 0.991667 0.001389 [450,460[ 455 0 0 0.991667 0 [460,470] 465 3 0.008333 1 0.000833

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[230,240[ & 235 & 3 & 0.008333 & 0.008333 & 0.000833 \tabularnewline
[240,250[ & 245 & 17 & 0.047222 & 0.055556 & 0.004722 \tabularnewline
[250,260[ & 255 & 41 & 0.113889 & 0.169444 & 0.011389 \tabularnewline
[260,270[ & 265 & 32 & 0.088889 & 0.258333 & 0.008889 \tabularnewline
[270,280[ & 275 & 20 & 0.055556 & 0.313889 & 0.005556 \tabularnewline
[280,290[ & 285 & 38 & 0.105556 & 0.419444 & 0.010556 \tabularnewline
[290,300[ & 295 & 37 & 0.102778 & 0.522222 & 0.010278 \tabularnewline
[300,310[ & 305 & 21 & 0.058333 & 0.580556 & 0.005833 \tabularnewline
[310,320[ & 315 & 22 & 0.061111 & 0.641667 & 0.006111 \tabularnewline
[320,330[ & 325 & 25 & 0.069444 & 0.711111 & 0.006944 \tabularnewline
[330,340[ & 335 & 20 & 0.055556 & 0.766667 & 0.005556 \tabularnewline
[340,350[ & 345 & 24 & 0.066667 & 0.833333 & 0.006667 \tabularnewline
[350,360[ & 355 & 12 & 0.033333 & 0.866667 & 0.003333 \tabularnewline
[360,370[ & 365 & 7 & 0.019444 & 0.886111 & 0.001944 \tabularnewline
[370,380[ & 375 & 7 & 0.019444 & 0.905556 & 0.001944 \tabularnewline
[380,390[ & 385 & 7 & 0.019444 & 0.925 & 0.001944 \tabularnewline
[390,400[ & 395 & 4 & 0.011111 & 0.936111 & 0.001111 \tabularnewline
[400,410[ & 405 & 7 & 0.019444 & 0.955556 & 0.001944 \tabularnewline
[410,420[ & 415 & 3 & 0.008333 & 0.963889 & 0.000833 \tabularnewline
[420,430[ & 425 & 1 & 0.002778 & 0.966667 & 0.000278 \tabularnewline
[430,440[ & 435 & 4 & 0.011111 & 0.977778 & 0.001111 \tabularnewline
[440,450[ & 445 & 5 & 0.013889 & 0.991667 & 0.001389 \tabularnewline
[450,460[ & 455 & 0 & 0 & 0.991667 & 0 \tabularnewline
[460,470] & 465 & 3 & 0.008333 & 1 & 0.000833 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141536&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][230,240[[/C][C]235[/C][C]3[/C][C]0.008333[/C][C]0.008333[/C][C]0.000833[/C][/ROW]
[ROW][C][240,250[[/C][C]245[/C][C]17[/C][C]0.047222[/C][C]0.055556[/C][C]0.004722[/C][/ROW]
[ROW][C][250,260[[/C][C]255[/C][C]41[/C][C]0.113889[/C][C]0.169444[/C][C]0.011389[/C][/ROW]
[ROW][C][260,270[[/C][C]265[/C][C]32[/C][C]0.088889[/C][C]0.258333[/C][C]0.008889[/C][/ROW]
[ROW][C][270,280[[/C][C]275[/C][C]20[/C][C]0.055556[/C][C]0.313889[/C][C]0.005556[/C][/ROW]
[ROW][C][280,290[[/C][C]285[/C][C]38[/C][C]0.105556[/C][C]0.419444[/C][C]0.010556[/C][/ROW]
[ROW][C][290,300[[/C][C]295[/C][C]37[/C][C]0.102778[/C][C]0.522222[/C][C]0.010278[/C][/ROW]
[ROW][C][300,310[[/C][C]305[/C][C]21[/C][C]0.058333[/C][C]0.580556[/C][C]0.005833[/C][/ROW]
[ROW][C][310,320[[/C][C]315[/C][C]22[/C][C]0.061111[/C][C]0.641667[/C][C]0.006111[/C][/ROW]
[ROW][C][320,330[[/C][C]325[/C][C]25[/C][C]0.069444[/C][C]0.711111[/C][C]0.006944[/C][/ROW]
[ROW][C][330,340[[/C][C]335[/C][C]20[/C][C]0.055556[/C][C]0.766667[/C][C]0.005556[/C][/ROW]
[ROW][C][340,350[[/C][C]345[/C][C]24[/C][C]0.066667[/C][C]0.833333[/C][C]0.006667[/C][/ROW]
[ROW][C][350,360[[/C][C]355[/C][C]12[/C][C]0.033333[/C][C]0.866667[/C][C]0.003333[/C][/ROW]
[ROW][C][360,370[[/C][C]365[/C][C]7[/C][C]0.019444[/C][C]0.886111[/C][C]0.001944[/C][/ROW]
[ROW][C][370,380[[/C][C]375[/C][C]7[/C][C]0.019444[/C][C]0.905556[/C][C]0.001944[/C][/ROW]
[ROW][C][380,390[[/C][C]385[/C][C]7[/C][C]0.019444[/C][C]0.925[/C][C]0.001944[/C][/ROW]
[ROW][C][390,400[[/C][C]395[/C][C]4[/C][C]0.011111[/C][C]0.936111[/C][C]0.001111[/C][/ROW]
[ROW][C][400,410[[/C][C]405[/C][C]7[/C][C]0.019444[/C][C]0.955556[/C][C]0.001944[/C][/ROW]
[ROW][C][410,420[[/C][C]415[/C][C]3[/C][C]0.008333[/C][C]0.963889[/C][C]0.000833[/C][/ROW]
[ROW][C][420,430[[/C][C]425[/C][C]1[/C][C]0.002778[/C][C]0.966667[/C][C]0.000278[/C][/ROW]
[ROW][C][430,440[[/C][C]435[/C][C]4[/C][C]0.011111[/C][C]0.977778[/C][C]0.001111[/C][/ROW]
[ROW][C][440,450[[/C][C]445[/C][C]5[/C][C]0.013889[/C][C]0.991667[/C][C]0.001389[/C][/ROW]
[ROW][C][450,460[[/C][C]455[/C][C]0[/C][C]0[/C][C]0.991667[/C][C]0[/C][/ROW]
[ROW][C][460,470][/C][C]465[/C][C]3[/C][C]0.008333[/C][C]1[/C][C]0.000833[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141536&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141536&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) Bins Midpoint Abs. Frequency Rel. Frequency Cumul. Rel. Freq. Density [230,240[ 235 3 0.008333 0.008333 0.000833 [240,250[ 245 17 0.047222 0.055556 0.004722 [250,260[ 255 41 0.113889 0.169444 0.011389 [260,270[ 265 32 0.088889 0.258333 0.008889 [270,280[ 275 20 0.055556 0.313889 0.005556 [280,290[ 285 38 0.105556 0.419444 0.010556 [290,300[ 295 37 0.102778 0.522222 0.010278 [300,310[ 305 21 0.058333 0.580556 0.005833 [310,320[ 315 22 0.061111 0.641667 0.006111 [320,330[ 325 25 0.069444 0.711111 0.006944 [330,340[ 335 20 0.055556 0.766667 0.005556 [340,350[ 345 24 0.066667 0.833333 0.006667 [350,360[ 355 12 0.033333 0.866667 0.003333 [360,370[ 365 7 0.019444 0.886111 0.001944 [370,380[ 375 7 0.019444 0.905556 0.001944 [380,390[ 385 7 0.019444 0.925 0.001944 [390,400[ 395 4 0.011111 0.936111 0.001111 [400,410[ 405 7 0.019444 0.955556 0.001944 [410,420[ 415 3 0.008333 0.963889 0.000833 [420,430[ 425 1 0.002778 0.966667 0.000278 [430,440[ 435 4 0.011111 0.977778 0.001111 [440,450[ 445 5 0.013889 0.991667 0.001389 [450,460[ 455 0 0 0.991667 0 [460,470] 465 3 0.008333 1 0.000833

par1 <- as.numeric(par1)if (par3 == 'TRUE') par3 <- TRUEif (par3 == 'FALSE') par3 <- FALSEif (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.numeric(x[1])) {if (is.na(par1)) {myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)} else {if (par1 < 0) par1 <- 3if (par1 > 50) par1 <- 50myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)}} else {plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')}dev.off()if(is.numeric(x[1])) {myhistn <- 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 <- 0if (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='')elsedum <- paste(mybracket,myhist$breaks[i],sep='')dum <- paste(dum,myhist$breaks[i+1],sep=',')if (i==mynumrows)dum <- paste(dum,']',sep='')elsedum <- 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$counts[i]/ncrf <- crf + rfa<-table.element(a,round(rf,6))a<-table.element(a,round(crf,6))a<-table.element(a,round(myhist$density[i],6))a<-table.row.end(a)}a<-table.end(a)table.save(a,file='mytable.tab')} else {mytabreltab <- mytab / sum(mytab)n <- length(mytab)load(file='createtable')a<-table.start()a<-table.row.start(a)a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'Category',header=TRUE)a<-table.element(a,'Abs. Frequency',header=TRUE)a<-table.element(a,'Rel. Frequency',header=TRUE)a<-table.row.end(a)for (i in 1:n) {a<-table.row.start(a)a<-table.element(a,labels(mytab)\$x[i],header=TRUE)a<-table.element(a,mytab[i])a<-table.element(a,round(reltab[i],4))a<-table.row.end(a)}a<-table.end(a)table.save(a,file='mytable1.tab')}