Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 20 Oct 2008 16:46:51 -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/2008/Oct/21/t1224542841hllnyr64rst7fx8.htm/, Retrieved Sun, 19 May 2024 19:40:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18278, Retrieved Sun, 19 May 2024 19:40:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Histogram] [Histogram: bouwve...] [2008-10-20 22:46:51] [7957bb37a64ed417bbed8444b0b0ea8a] [Current]
Feedback Forum
2008-10-27 18:15:24 [Evelyn Ongena] [reply
Je hebt enkel de link in het document vervat, zonder enige uitleg of conclusie wat het moeilijk maakt je hierop te beoordelen.

Post a new message
Dataseries X:
572
582
574
461
576
460
455
444
488
513
468
488
536
486
460
376
503
369
353
359
400
374
430
433
418
438
389
368
386
261
294
263
293
303
326
314
332
347
290
340
371
340
376
322
364
379
343
358
433
344
357
385
392
308
294
300
302
400
392
373
379
303
324
353
392
327
376
329
359
413
338
421
390
370
366
405
418
346
349
326
318
379
336
372
420
425
422
396
457
313
334
384
342
385
435
405
454




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18278&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18278&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18278&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'George Udny Yule' @ 72.249.76.132







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[250,300[27560.0618560.0618560.001237
[300,350[325260.2680410.3298970.005361
[350,400[375310.3195880.6494850.006392
[400,450[425170.1752580.8247420.003505
[450,500[475100.1030930.9278350.002062
[500,550[52530.0309280.9587630.000619
[550,600]57540.04123710.000825

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[250,300[ & 275 & 6 & 0.061856 & 0.061856 & 0.001237 \tabularnewline
[300,350[ & 325 & 26 & 0.268041 & 0.329897 & 0.005361 \tabularnewline
[350,400[ & 375 & 31 & 0.319588 & 0.649485 & 0.006392 \tabularnewline
[400,450[ & 425 & 17 & 0.175258 & 0.824742 & 0.003505 \tabularnewline
[450,500[ & 475 & 10 & 0.103093 & 0.927835 & 0.002062 \tabularnewline
[500,550[ & 525 & 3 & 0.030928 & 0.958763 & 0.000619 \tabularnewline
[550,600] & 575 & 4 & 0.041237 & 1 & 0.000825 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18278&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][250,300[[/C][C]275[/C][C]6[/C][C]0.061856[/C][C]0.061856[/C][C]0.001237[/C][/ROW]
[ROW][C][300,350[[/C][C]325[/C][C]26[/C][C]0.268041[/C][C]0.329897[/C][C]0.005361[/C][/ROW]
[ROW][C][350,400[[/C][C]375[/C][C]31[/C][C]0.319588[/C][C]0.649485[/C][C]0.006392[/C][/ROW]
[ROW][C][400,450[[/C][C]425[/C][C]17[/C][C]0.175258[/C][C]0.824742[/C][C]0.003505[/C][/ROW]
[ROW][C][450,500[[/C][C]475[/C][C]10[/C][C]0.103093[/C][C]0.927835[/C][C]0.002062[/C][/ROW]
[ROW][C][500,550[[/C][C]525[/C][C]3[/C][C]0.030928[/C][C]0.958763[/C][C]0.000619[/C][/ROW]
[ROW][C][550,600][/C][C]575[/C][C]4[/C][C]0.041237[/C][C]1[/C][C]0.000825[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18278&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18278&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
[250,300[27560.0618560.0618560.001237
[300,350[325260.2680410.3298970.005361
[350,400[375310.3195880.6494850.006392
[400,450[425170.1752580.8247420.003505
[450,500[475100.1030930.9278350.002062
[500,550[52530.0309280.9587630.000619
[550,600]57540.04123710.000825



Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; 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')