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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 computationSat, 02 Feb 2013 15:38:37 -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/2013/Feb/02/t13598375914nydgig6ru577a7.htm/, Retrieved Sat, 27 Apr 2024 06:12:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206010, Retrieved Sat, 27 Apr 2024 06:12:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsyasmien.naciri@student.kdg.be
Estimated Impact195

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Histogram uitvoer] [2011-09-30 12:37:10] [dbe44979897c727c8ee1481591539ebf]
- R  D    [Histogram] [] [2013-02-02 20:38:37] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-  M        [Histogram] [] [2013-02-17 20:30:36] [dbe44979897c727c8ee1481591539ebf]
- RMP       [Kernel Density Estimation] [] [2013-02-17 20:34:08] [dbe44979897c727c8ee1481591539ebf]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
557
561
549
532
526
511
499
555
565
542
527
510
514
517
508
493
490
469
478
528
534
518
506
502
516
528
533
536
537
524
536
587
597
581
564
558
575
580
575
563
552
537
545
601
604
586
564
549
551
556
548
540
531
521
519
572
581
563
548
539
541
562
559
546
536
528
530
582
599
584
571
563
565

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'Gertrude Mary Cox' @ cox.wessa.net

\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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206010&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206010&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206010&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'Gertrude Mary Cox' @ cox.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[460,480[47020.0273970.0273970.00137
[480,500[49030.0410960.0684930.002055
[500,520[510100.1369860.2054790.006849
[520,540[530180.2465750.4520550.012329
[540,560[550160.2191780.6712330.010959
[560,580[570130.1780820.8493150.008904
[580,600[59090.1232880.9726030.006164
[600,620]61020.02739710.00137

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[460,480[ & 470 & 2 & 0.027397 & 0.027397 & 0.00137 \tabularnewline
[480,500[ & 490 & 3 & 0.041096 & 0.068493 & 0.002055 \tabularnewline
[500,520[ & 510 & 10 & 0.136986 & 0.205479 & 0.006849 \tabularnewline
[520,540[ & 530 & 18 & 0.246575 & 0.452055 & 0.012329 \tabularnewline
[540,560[ & 550 & 16 & 0.219178 & 0.671233 & 0.010959 \tabularnewline
[560,580[ & 570 & 13 & 0.178082 & 0.849315 & 0.008904 \tabularnewline
[580,600[ & 590 & 9 & 0.123288 & 0.972603 & 0.006164 \tabularnewline
[600,620] & 610 & 2 & 0.027397 & 1 & 0.00137 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206010&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]0.027397[/C][C]0.027397[/C][C]0.00137[/C][/ROW]
[ROW][C][480,500[[/C][C]490[/C][C]3[/C][C]0.041096[/C][C]0.068493[/C][C]0.002055[/C][/ROW]
[ROW][C][500,520[[/C][C]510[/C][C]10[/C][C]0.136986[/C][C]0.205479[/C][C]0.006849[/C][/ROW]
[ROW][C][520,540[[/C][C]530[/C][C]18[/C][C]0.246575[/C][C]0.452055[/C][C]0.012329[/C][/ROW]
[ROW][C][540,560[[/C][C]550[/C][C]16[/C][C]0.219178[/C][C]0.671233[/C][C]0.010959[/C][/ROW]
[ROW][C][560,580[[/C][C]570[/C][C]13[/C][C]0.178082[/C][C]0.849315[/C][C]0.008904[/C][/ROW]
[ROW][C][580,600[[/C][C]590[/C][C]9[/C][C]0.123288[/C][C]0.972603[/C][C]0.006164[/C][/ROW]
[ROW][C][600,620][/C][C]610[/C][C]2[/C][C]0.027397[/C][C]1[/C][C]0.00137[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206010&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206010&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[47020.0273970.0273970.00137
[480,500[49030.0410960.0684930.002055
[500,520[510100.1369860.2054790.006849
[520,540[530180.2465750.4520550.012329
[540,560[550160.2191780.6712330.010959
[560,580[570130.1780820.8493150.008904
[580,600[59090.1232880.9726030.006164
[600,620]61020.02739710.00137


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.numeric(x[1])) {
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)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
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')
} else {
mytab
reltab <- 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')
}