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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 17 Feb 2008 05:03:06 -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/2008/Feb/17/t12032498548ukwlr0so2nwa3r.htm/, Retrieved Fri, 10 May 2024 17:54:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=8274, Retrieved Fri, 10 May 2024 17:54:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact206

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [histogram auto re...] [2008-02-17 12:03:06] [7447f24868087d6abebd401b46b50271] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
209
214
265
290
287
270
263
265
252
281
259
312
275
250
312
331
256
247
291
318
296
291
313
311
273
258
361
391
446
433
449
479
460
466
410
415
382
409
496
471
488
584
610
684
626
580
444
552
473
431
513
467
470
455
406
424
406
373
332
310
301
296
333
374
422
424
341
216
319
383
360
400

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8274&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=8274&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8274&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[200,250[22540.0555560.0555560.001111
[250,300[275180.250.3055560.005
[300,350[325120.1666670.4722220.003333
[350,400[37570.0972220.5694440.001944
[400,450[425140.1944440.7638890.003889
[450,500[475100.1388890.9027780.002778
[500,550[52510.0138890.9166670.000278
[550,600[57530.0416670.9583330.000833
[600,650[62520.0277780.9861110.000556
[650,700]67510.01388910.000278

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[200,250[ & 225 & 4 & 0.055556 & 0.055556 & 0.001111 \tabularnewline
[250,300[ & 275 & 18 & 0.25 & 0.305556 & 0.005 \tabularnewline
[300,350[ & 325 & 12 & 0.166667 & 0.472222 & 0.003333 \tabularnewline
[350,400[ & 375 & 7 & 0.097222 & 0.569444 & 0.001944 \tabularnewline
[400,450[ & 425 & 14 & 0.194444 & 0.763889 & 0.003889 \tabularnewline
[450,500[ & 475 & 10 & 0.138889 & 0.902778 & 0.002778 \tabularnewline
[500,550[ & 525 & 1 & 0.013889 & 0.916667 & 0.000278 \tabularnewline
[550,600[ & 575 & 3 & 0.041667 & 0.958333 & 0.000833 \tabularnewline
[600,650[ & 625 & 2 & 0.027778 & 0.986111 & 0.000556 \tabularnewline
[650,700] & 675 & 1 & 0.013889 & 1 & 0.000278 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8274&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][200,250[[/C][C]225[/C][C]4[/C][C]0.055556[/C][C]0.055556[/C][C]0.001111[/C][/ROW]
[ROW][C][250,300[[/C][C]275[/C][C]18[/C][C]0.25[/C][C]0.305556[/C][C]0.005[/C][/ROW]
[ROW][C][300,350[[/C][C]325[/C][C]12[/C][C]0.166667[/C][C]0.472222[/C][C]0.003333[/C][/ROW]
[ROW][C][350,400[[/C][C]375[/C][C]7[/C][C]0.097222[/C][C]0.569444[/C][C]0.001944[/C][/ROW]
[ROW][C][400,450[[/C][C]425[/C][C]14[/C][C]0.194444[/C][C]0.763889[/C][C]0.003889[/C][/ROW]
[ROW][C][450,500[[/C][C]475[/C][C]10[/C][C]0.138889[/C][C]0.902778[/C][C]0.002778[/C][/ROW]
[ROW][C][500,550[[/C][C]525[/C][C]1[/C][C]0.013889[/C][C]0.916667[/C][C]0.000278[/C][/ROW]
[ROW][C][550,600[[/C][C]575[/C][C]3[/C][C]0.041667[/C][C]0.958333[/C][C]0.000833[/C][/ROW]
[ROW][C][600,650[[/C][C]625[/C][C]2[/C][C]0.027778[/C][C]0.986111[/C][C]0.000556[/C][/ROW]
[ROW][C][650,700][/C][C]675[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]0.000278[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=8274&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8274&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[200,250[22540.0555560.0555560.001111
[250,300[275180.250.3055560.005
[300,350[325120.1666670.4722220.003333
[350,400[37570.0972220.5694440.001944
[400,450[425140.1944440.7638890.003889
[450,500[475100.1388890.9027780.002778
[500,550[52510.0138890.9166670.000278
[550,600[57530.0416670.9583330.000833
[600,650[62520.0277780.9861110.000556
[650,700]67510.01388910.000278


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = auto registrations ; par2 = http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/index.htm ; par3 = aantal geregistreerde wagen per maand in U.S ;
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')