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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, 21 Sep 2014 14:56:19 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Sep/21/t1411307826fh0hno3gzfdls1v.htm/, Retrieved Fri, 10 May 2024 09:29:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=236016, Retrieved Fri, 10 May 2024 09:29:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact102

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Aantal werkelijk ...] [2014-09-21 13:56:19] [8ab2f7883acfec92c4c89513940c9803] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
876
819
610
757
840
745
662
563
624
588
754
705
661
737
542
709
787
689
601
467
555
471
718
676
700
781
596
779
727
692
560
517
572
491
639
585
596
617
445
615
571
592
580
487
540
546
649
620
593
528
492
570
592
512
475
405
540
472
567
538
508
578
466
540
515
550
485
355
386
365
417
356
336

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236016&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236016&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236016&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 time0 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[300,350[32510.0136990.0136990.000274
[350,400[37540.0547950.0684930.001096
[400,450[42530.0410960.1095890.000822
[450,500[47590.1232880.2328770.002466
[500,550[525110.1506850.3835620.003014
[550,600[575170.2328770.6164380.004658
[600,650[62580.1095890.7260270.002192
[650,700[67550.0684930.7945210.00137
[700,750[72570.095890.8904110.001918
[750,800[77550.0684930.9589040.00137
[800,850[82520.0273970.9863010.000548
[850,900]87510.01369910.000274

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[300,350[ & 325 & 1 & 0.013699 & 0.013699 & 0.000274 \tabularnewline
[350,400[ & 375 & 4 & 0.054795 & 0.068493 & 0.001096 \tabularnewline
[400,450[ & 425 & 3 & 0.041096 & 0.109589 & 0.000822 \tabularnewline
[450,500[ & 475 & 9 & 0.123288 & 0.232877 & 0.002466 \tabularnewline
[500,550[ & 525 & 11 & 0.150685 & 0.383562 & 0.003014 \tabularnewline
[550,600[ & 575 & 17 & 0.232877 & 0.616438 & 0.004658 \tabularnewline
[600,650[ & 625 & 8 & 0.109589 & 0.726027 & 0.002192 \tabularnewline
[650,700[ & 675 & 5 & 0.068493 & 0.794521 & 0.00137 \tabularnewline
[700,750[ & 725 & 7 & 0.09589 & 0.890411 & 0.001918 \tabularnewline
[750,800[ & 775 & 5 & 0.068493 & 0.958904 & 0.00137 \tabularnewline
[800,850[ & 825 & 2 & 0.027397 & 0.986301 & 0.000548 \tabularnewline
[850,900] & 875 & 1 & 0.013699 & 1 & 0.000274 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236016&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][300,350[[/C][C]325[/C][C]1[/C][C]0.013699[/C][C]0.013699[/C][C]0.000274[/C][/ROW]
[ROW][C][350,400[[/C][C]375[/C][C]4[/C][C]0.054795[/C][C]0.068493[/C][C]0.001096[/C][/ROW]
[ROW][C][400,450[[/C][C]425[/C][C]3[/C][C]0.041096[/C][C]0.109589[/C][C]0.000822[/C][/ROW]
[ROW][C][450,500[[/C][C]475[/C][C]9[/C][C]0.123288[/C][C]0.232877[/C][C]0.002466[/C][/ROW]
[ROW][C][500,550[[/C][C]525[/C][C]11[/C][C]0.150685[/C][C]0.383562[/C][C]0.003014[/C][/ROW]
[ROW][C][550,600[[/C][C]575[/C][C]17[/C][C]0.232877[/C][C]0.616438[/C][C]0.004658[/C][/ROW]
[ROW][C][600,650[[/C][C]625[/C][C]8[/C][C]0.109589[/C][C]0.726027[/C][C]0.002192[/C][/ROW]
[ROW][C][650,700[[/C][C]675[/C][C]5[/C][C]0.068493[/C][C]0.794521[/C][C]0.00137[/C][/ROW]
[ROW][C][700,750[[/C][C]725[/C][C]7[/C][C]0.09589[/C][C]0.890411[/C][C]0.001918[/C][/ROW]
[ROW][C][750,800[[/C][C]775[/C][C]5[/C][C]0.068493[/C][C]0.958904[/C][C]0.00137[/C][/ROW]
[ROW][C][800,850[[/C][C]825[/C][C]2[/C][C]0.027397[/C][C]0.986301[/C][C]0.000548[/C][/ROW]
[ROW][C][850,900][/C][C]875[/C][C]1[/C][C]0.013699[/C][C]1[/C][C]0.000274[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236016&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236016&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
[300,350[32510.0136990.0136990.000274
[350,400[37540.0547950.0684930.001096
[400,450[42530.0410960.1095890.000822
[450,500[47590.1232880.2328770.002466
[500,550[525110.1506850.3835620.003014
[550,600[575170.2328770.6164380.004658
[600,650[62580.1095890.7260270.002192
[650,700[67550.0684930.7945210.00137
[700,750[72570.095890.8904110.001918
[750,800[77550.0684930.9589040.00137
[800,850[82520.0273970.9863010.000548
[850,900]87510.01369910.000274


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')
}