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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSat, 07 Feb 2009 11:58:50 -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/Feb/07/t12340331979quon2dp57aorjm.htm/, Retrieved Sat, 11 May 2024 21:33:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=37066, Retrieved Sat, 11 May 2024 21:33:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact218

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Histogram - Werkl...] [2009-02-07 18:58:50] [d41d8cd98f00b204e9800998ecf8427e] [Current]
- RMPD    [Univariate Data Series] [] [2009-02-15 14:23:11] [74be16979710d4c4e7c6647856088456]
- RMPD    [Univariate Data Series] [Frequentietabel -...] [2009-02-15 14:23:11] [74be16979710d4c4e7c6647856088456]
- RMPD    [Univariate Data Series] [Frequentietabel -...] [2009-02-15 14:32:34] [74be16979710d4c4e7c6647856088456]
- RMPD    [Univariate Data Series] [Grafiek - Maximum...] [2009-02-15 14:32:34] [74be16979710d4c4e7c6647856088456]
- RMP       [Histogram] [Histogram - Maxim...] [2009-02-15 14:53:09] [74be16979710d4c4e7c6647856088456]
-             [Histogram] [Histogram - Studi...] [2009-02-25 14:45:45] [2ce3c91abef806693ba7bf55b08cc4e2]
- RMP           [Kernel Density Estimation] [Dichtheidsgrafiek...] [2009-02-25 14:47:58] [2ce3c91abef806693ba7bf55b08cc4e2]
- RMP       [Kernel Density Estimation] [Dichtheidsgrafiek...] [2009-02-15 15:11:18] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
528
516
502
506
518
534
528
478
469
490
493
508
517
514
510
527
542
565
555
499
511
526
532
549
561
557
566
588
620
626
620
573
573
574
580
590
593
597
595
612
628
629
621
569
567
573
584
589
591
595
594
611
613
611
594
543
537
544
555
561
562
555
547
565
578
580
569
507
501
509
510
517

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37066&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37066&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37066&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 computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[460,480[47020.0277780.0277780.001389
[480,500[49030.0416670.0694440.002083
[500,520[510140.1944440.2638890.009722
[520,540[53070.0972220.3611110.004861
[540,560[55090.1250.4861110.00625
[560,580[570140.1944440.6805560.009722
[580,600[590130.1805560.8611110.009028
[600,620[61040.0555560.9166670.002778
[620,640]63060.08333310.004167

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[460,480[ & 470 & 2 & 0.027778 & 0.027778 & 0.001389 \tabularnewline
[480,500[ & 490 & 3 & 0.041667 & 0.069444 & 0.002083 \tabularnewline
[500,520[ & 510 & 14 & 0.194444 & 0.263889 & 0.009722 \tabularnewline
[520,540[ & 530 & 7 & 0.097222 & 0.361111 & 0.004861 \tabularnewline
[540,560[ & 550 & 9 & 0.125 & 0.486111 & 0.00625 \tabularnewline
[560,580[ & 570 & 14 & 0.194444 & 0.680556 & 0.009722 \tabularnewline
[580,600[ & 590 & 13 & 0.180556 & 0.861111 & 0.009028 \tabularnewline
[600,620[ & 610 & 4 & 0.055556 & 0.916667 & 0.002778 \tabularnewline
[620,640] & 630 & 6 & 0.083333 & 1 & 0.004167 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37066&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][460,480[[/C][C]470[/C][C]2[/C][C]0.027778[/C][C]0.027778[/C][C]0.001389[/C][/ROW]
[ROW][C][480,500[[/C][C]490[/C][C]3[/C][C]0.041667[/C][C]0.069444[/C][C]0.002083[/C][/ROW]
[ROW][C][500,520[[/C][C]510[/C][C]14[/C][C]0.194444[/C][C]0.263889[/C][C]0.009722[/C][/ROW]
[ROW][C][520,540[[/C][C]530[/C][C]7[/C][C]0.097222[/C][C]0.361111[/C][C]0.004861[/C][/ROW]
[ROW][C][540,560[[/C][C]550[/C][C]9[/C][C]0.125[/C][C]0.486111[/C][C]0.00625[/C][/ROW]
[ROW][C][560,580[[/C][C]570[/C][C]14[/C][C]0.194444[/C][C]0.680556[/C][C]0.009722[/C][/ROW]
[ROW][C][580,600[[/C][C]590[/C][C]13[/C][C]0.180556[/C][C]0.861111[/C][C]0.009028[/C][/ROW]
[ROW][C][600,620[[/C][C]610[/C][C]4[/C][C]0.055556[/C][C]0.916667[/C][C]0.002778[/C][/ROW]
[ROW][C][620,640][/C][C]630[/C][C]6[/C][C]0.083333[/C][C]1[/C][C]0.004167[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37066&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37066&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
[460,480[47020.0277780.0277780.001389
[480,500[49030.0416670.0694440.002083
[500,520[510140.1944440.2638890.009722
[520,540[53070.0972220.3611110.004861
[540,560[55090.1250.4861110.00625
[560,580[570140.1944440.6805560.009722
[580,600[590130.1805560.8611110.009028
[600,620[61040.0555560.9166670.002778
[620,640]63060.08333310.004167


Figures (Output of Computation)

Input Parameters & R Code

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')