## Free Statistics

of Irreproducible Research!

Author's title
Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationFri, 13 Dec 2013 07:53:31 -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/Dec/13/t13869392710qdfl86fg0kj87s.htm/, Retrieved Tue, 29 Sep 2020 14:17:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232292, Retrieved Tue, 29 Sep 2020 14:17:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact62
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2013-09-18 12:50:34] [5a2e3a6b17460ce5913011eac6538033]
- R P     [Histogram] [] [2013-12-13 12:53:31] [54713e3426a13268f2edfca2b563126c] [Current]
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Dataseries X:
0.43
0.45
0.44
0.44
0.44
0.48
0.47
0.47
0.47
0.49
0.49
0.46
0.45
0.44
0.42
0.43
0.43
0.47
0.47
0.47
0.47
0.48
0.48
0.48
0.49
0.49
0.47
0.5
0.51
0.5
0.49
0.5
0.51
0.51
0.5
0.53
0.5
0.49
0.46
0.46
0.47
0.49
0.5
0.5
0.51
0.5
0.52
0.5
0.48
0.47
0.43
0.42
0.45
0.5
0.52
0.52
0.51
0.52
0.52
0.51
0.51
0.51
0.48
0.49
0.47
0.51
0.5
0.51
0.51
0.52
0.51
0.52
0.48
0.49
0.47
0.44
0.44
0.47
0.51
0.51
0.52
0.52
0.52
0.52


 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 2 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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232292&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]2 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=232292&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232292&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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 2 seconds R Server 'Gertrude Mary Cox' @ cox.wessa.net

 Frequency Table (Histogram) Bins Midpoint Abs. Frequency Rel. Frequency Cumul. Rel. Freq. Density [0.42,0.44[ 0.43 6 0.071429 0.071429 3.571429 [0.44,0.46[ 0.45 9 0.107143 0.178571 5.357143 [0.46,0.48[ 0.47 16 0.190476 0.369048 9.52381 [0.48,0.5[ 0.49 16 0.190476 0.559524 9.52381 [0.5,0.52[ 0.51 25 0.297619 0.857143 14.880952 [0.52,0.54] 0.53 12 0.142857 1 7.142857

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0.42,0.44[ & 0.43 & 6 & 0.071429 & 0.071429 & 3.571429 \tabularnewline
[0.44,0.46[ & 0.45 & 9 & 0.107143 & 0.178571 & 5.357143 \tabularnewline
[0.46,0.48[ & 0.47 & 16 & 0.190476 & 0.369048 & 9.52381 \tabularnewline
[0.48,0.5[ & 0.49 & 16 & 0.190476 & 0.559524 & 9.52381 \tabularnewline
[0.5,0.52[ & 0.51 & 25 & 0.297619 & 0.857143 & 14.880952 \tabularnewline
[0.52,0.54] & 0.53 & 12 & 0.142857 & 1 & 7.142857 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232292&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][0.42,0.44[[/C][C]0.43[/C][C]6[/C][C]0.071429[/C][C]0.071429[/C][C]3.571429[/C][/ROW]
[ROW][C][0.44,0.46[[/C][C]0.45[/C][C]9[/C][C]0.107143[/C][C]0.178571[/C][C]5.357143[/C][/ROW]
[ROW][C][0.46,0.48[[/C][C]0.47[/C][C]16[/C][C]0.190476[/C][C]0.369048[/C][C]9.52381[/C][/ROW]
[ROW][C][0.48,0.5[[/C][C]0.49[/C][C]16[/C][C]0.190476[/C][C]0.559524[/C][C]9.52381[/C][/ROW]
[ROW][C][0.5,0.52[[/C][C]0.51[/C][C]25[/C][C]0.297619[/C][C]0.857143[/C][C]14.880952[/C][/ROW]
[ROW][C][0.52,0.54][/C][C]0.53[/C][C]12[/C][C]0.142857[/C][C]1[/C][C]7.142857[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232292&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232292&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) Bins Midpoint Abs. Frequency Rel. Frequency Cumul. Rel. Freq. Density [0.42,0.44[ 0.43 6 0.071429 0.071429 3.571429 [0.44,0.46[ 0.45 9 0.107143 0.178571 5.357143 [0.46,0.48[ 0.47 16 0.190476 0.369048 9.52381 [0.48,0.5[ 0.49 16 0.190476 0.559524 9.52381 [0.5,0.52[ 0.51 25 0.297619 0.857143 14.880952 [0.52,0.54] 0.53 12 0.142857 1 7.142857

par4 <- 'Unknown'par3 <- 'FALSE'par2 <- 'grey'par1 <- '2'par1 <- as.numeric(par1)if (par3 == 'TRUE') par3 <- TRUEif (par3 == 'FALSE') par3 <- FALSEif (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 <- 3if (par1 > 50) par1 <- 50myhist<-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])) {myhistn <- 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 <- 0if (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='')elsedum <- paste(mybracket,myhist$breaks[i],sep='')dum <- paste(dum,myhist$breaks[i+1],sep=',')if (i==mynumrows)dum <- paste(dum,']',sep='')elsedum <- 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$counts[i]/ncrf <- crf + rfa<-table.element(a,round(rf,6))a<-table.element(a,round(crf,6))a<-table.element(a,round(myhist$density[i],6))a<-table.row.end(a)}a<-table.end(a)table.save(a,file='mytable.tab')} else {mytabreltab <- 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')}