Free Statistics

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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 27 Dec 2009 04:31:27 -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/Dec/27/t12619135532ev6rpaebknetas.htm/, Retrieved Thu, 02 May 2024 16:03:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=70841, Retrieved Thu, 02 May 2024 16:03:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact154
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Histogram S&C] [2009-12-27 11:31:27] [1b03feaac1d41902024770a37504c07f] [Current]
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Dataseries X:
401
394
372
334
320
334
400
427
423
395
373
377
391
398
393
375
371
364
400
406
407
397
389
394
399
401
396
392
384
370
380
376
378
376
373
374
379
376
371
375
360
338
352
344
330
334
333
343
350
341
320
302
287
304
370
385
365
333
313
330
367




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=70841&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=70841&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70841&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
[280,300[29010.0163930.0163930.00082
[300,320[31030.049180.0655740.002459
[320,340[330100.1639340.2295080.008197
[340,360[35050.0819670.3114750.004098
[360,380[370200.3278690.6393440.016393
[380,400[390140.2295080.8688520.011475
[400,420[41060.0983610.9672130.004918
[420,440]43020.03278710.001639

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[280,300[ & 290 & 1 & 0.016393 & 0.016393 & 0.00082 \tabularnewline
[300,320[ & 310 & 3 & 0.04918 & 0.065574 & 0.002459 \tabularnewline
[320,340[ & 330 & 10 & 0.163934 & 0.229508 & 0.008197 \tabularnewline
[340,360[ & 350 & 5 & 0.081967 & 0.311475 & 0.004098 \tabularnewline
[360,380[ & 370 & 20 & 0.327869 & 0.639344 & 0.016393 \tabularnewline
[380,400[ & 390 & 14 & 0.229508 & 0.868852 & 0.011475 \tabularnewline
[400,420[ & 410 & 6 & 0.098361 & 0.967213 & 0.004918 \tabularnewline
[420,440] & 430 & 2 & 0.032787 & 1 & 0.001639 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70841&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][280,300[[/C][C]290[/C][C]1[/C][C]0.016393[/C][C]0.016393[/C][C]0.00082[/C][/ROW]
[ROW][C][300,320[[/C][C]310[/C][C]3[/C][C]0.04918[/C][C]0.065574[/C][C]0.002459[/C][/ROW]
[ROW][C][320,340[[/C][C]330[/C][C]10[/C][C]0.163934[/C][C]0.229508[/C][C]0.008197[/C][/ROW]
[ROW][C][340,360[[/C][C]350[/C][C]5[/C][C]0.081967[/C][C]0.311475[/C][C]0.004098[/C][/ROW]
[ROW][C][360,380[[/C][C]370[/C][C]20[/C][C]0.327869[/C][C]0.639344[/C][C]0.016393[/C][/ROW]
[ROW][C][380,400[[/C][C]390[/C][C]14[/C][C]0.229508[/C][C]0.868852[/C][C]0.011475[/C][/ROW]
[ROW][C][400,420[[/C][C]410[/C][C]6[/C][C]0.098361[/C][C]0.967213[/C][C]0.004918[/C][/ROW]
[ROW][C][420,440][/C][C]430[/C][C]2[/C][C]0.032787[/C][C]1[/C][C]0.001639[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70841&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70841&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
[280,300[29010.0163930.0163930.00082
[300,320[31030.049180.0655740.002459
[320,340[330100.1639340.2295080.008197
[340,360[35050.0819670.3114750.004098
[360,380[370200.3278690.6393440.016393
[380,400[390140.2295080.8688520.011475
[400,420[41060.0983610.9672130.004918
[420,440]43020.03278710.001639



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')