## Free Statistics

of Irreproducible Research!

Author's title
Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 22 Dec 2013 08:29:27 -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/22/t1387719160baz9ty0p0ymdcp2.htm/, Retrieved Tue, 09 Aug 2022 20:47:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232518, Retrieved Tue, 09 Aug 2022 20:47:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2013-12-22 13:29:27] [20efb5145ec2a2ddd8dcd418764211fa] [Current]
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Dataseries X:
19.4
19.4
19.4
19.5
19.5
19.5
28.7
28.7
28.7
21.8
21.8
21.8
20
20
20
22.6
22.6
22.6
22.4
22.4
22.4
18.6
18.6
18.6
16.2
16.2
16.2
13.8
13.8
13.8
24.1
24.1
24.1
19.9
19.9
19.9
22.3
22.3
22.3
20.9
20.9
20.9
23.5
23.5
23.5
23.1
23.1
23.1
25.7
25.7
25.7
19.7
19.7
19.7
23.1
23.1
23.1
20.7
20.7
20.7
18
18
18
16.9
16.9
16.9
24.4
24.4
24.4
15.5
15.5
15.5
18.4
18.4
18.4
16.2
16.2
16.2
20.6
20.6
20.6
19.8
19.8
19.8


 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 seconds R Server 'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232518&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232518&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232518&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 1 seconds R Server 'Herman Ole Andreas Wold' @ wold.wessa.net

 Frequency Table (Histogram) Bins Midpoint Abs. Frequency Rel. Frequency Cumul. Rel. Freq. Density [13,14[ 13.5 3 0.035714 0.035714 0.035714 [14,15[ 14.5 0 0 0.035714 0 [15,16[ 15.5 3 0.035714 0.071429 0.035714 [16,17[ 16.5 9 0.107143 0.178571 0.107143 [17,18[ 17.5 0 0 0.178571 0 [18,19[ 18.5 9 0.107143 0.285714 0.107143 [19,20[ 19.5 15 0.178571 0.464286 0.178571 [20,21[ 20.5 12 0.142857 0.607143 0.142857 [21,22[ 21.5 3 0.035714 0.642857 0.035714 [22,23[ 22.5 9 0.107143 0.75 0.107143 [23,24[ 23.5 9 0.107143 0.857143 0.107143 [24,25[ 24.5 6 0.071429 0.928571 0.071429 [25,26[ 25.5 3 0.035714 0.964286 0.035714 [26,27[ 26.5 0 0 0.964286 0 [27,28[ 27.5 0 0 0.964286 0 [28,29] 28.5 3 0.035714 1 0.035714

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[13,14[ & 13.5 & 3 & 0.035714 & 0.035714 & 0.035714 \tabularnewline
[14,15[ & 14.5 & 0 & 0 & 0.035714 & 0 \tabularnewline
[15,16[ & 15.5 & 3 & 0.035714 & 0.071429 & 0.035714 \tabularnewline
[16,17[ & 16.5 & 9 & 0.107143 & 0.178571 & 0.107143 \tabularnewline
[17,18[ & 17.5 & 0 & 0 & 0.178571 & 0 \tabularnewline
[18,19[ & 18.5 & 9 & 0.107143 & 0.285714 & 0.107143 \tabularnewline
[19,20[ & 19.5 & 15 & 0.178571 & 0.464286 & 0.178571 \tabularnewline
[20,21[ & 20.5 & 12 & 0.142857 & 0.607143 & 0.142857 \tabularnewline
[21,22[ & 21.5 & 3 & 0.035714 & 0.642857 & 0.035714 \tabularnewline
[22,23[ & 22.5 & 9 & 0.107143 & 0.75 & 0.107143 \tabularnewline
[23,24[ & 23.5 & 9 & 0.107143 & 0.857143 & 0.107143 \tabularnewline
[24,25[ & 24.5 & 6 & 0.071429 & 0.928571 & 0.071429 \tabularnewline
[25,26[ & 25.5 & 3 & 0.035714 & 0.964286 & 0.035714 \tabularnewline
[26,27[ & 26.5 & 0 & 0 & 0.964286 & 0 \tabularnewline
[27,28[ & 27.5 & 0 & 0 & 0.964286 & 0 \tabularnewline
[28,29] & 28.5 & 3 & 0.035714 & 1 & 0.035714 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232518&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][13,14[[/C][C]13.5[/C][C]3[/C][C]0.035714[/C][C]0.035714[/C][C]0.035714[/C][/ROW]
[ROW][C][14,15[[/C][C]14.5[/C][C]0[/C][C]0[/C][C]0.035714[/C][C]0[/C][/ROW]
[ROW][C][15,16[[/C][C]15.5[/C][C]3[/C][C]0.035714[/C][C]0.071429[/C][C]0.035714[/C][/ROW]
[ROW][C][16,17[[/C][C]16.5[/C][C]9[/C][C]0.107143[/C][C]0.178571[/C][C]0.107143[/C][/ROW]
[ROW][C][17,18[[/C][C]17.5[/C][C]0[/C][C]0[/C][C]0.178571[/C][C]0[/C][/ROW]
[ROW][C][18,19[[/C][C]18.5[/C][C]9[/C][C]0.107143[/C][C]0.285714[/C][C]0.107143[/C][/ROW]
[ROW][C][19,20[[/C][C]19.5[/C][C]15[/C][C]0.178571[/C][C]0.464286[/C][C]0.178571[/C][/ROW]
[ROW][C][20,21[[/C][C]20.5[/C][C]12[/C][C]0.142857[/C][C]0.607143[/C][C]0.142857[/C][/ROW]
[ROW][C][21,22[[/C][C]21.5[/C][C]3[/C][C]0.035714[/C][C]0.642857[/C][C]0.035714[/C][/ROW]
[ROW][C][22,23[[/C][C]22.5[/C][C]9[/C][C]0.107143[/C][C]0.75[/C][C]0.107143[/C][/ROW]
[ROW][C][23,24[[/C][C]23.5[/C][C]9[/C][C]0.107143[/C][C]0.857143[/C][C]0.107143[/C][/ROW]
[ROW][C][24,25[[/C][C]24.5[/C][C]6[/C][C]0.071429[/C][C]0.928571[/C][C]0.071429[/C][/ROW]
[ROW][C][25,26[[/C][C]25.5[/C][C]3[/C][C]0.035714[/C][C]0.964286[/C][C]0.035714[/C][/ROW]
[ROW][C][26,27[[/C][C]26.5[/C][C]0[/C][C]0[/C][C]0.964286[/C][C]0[/C][/ROW]
[ROW][C][27,28[[/C][C]27.5[/C][C]0[/C][C]0[/C][C]0.964286[/C][C]0[/C][/ROW]
[ROW][C][28,29][/C][C]28.5[/C][C]3[/C][C]0.035714[/C][C]1[/C][C]0.035714[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232518&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232518&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 [13,14[ 13.5 3 0.035714 0.035714 0.035714 [14,15[ 14.5 0 0 0.035714 0 [15,16[ 15.5 3 0.035714 0.071429 0.035714 [16,17[ 16.5 9 0.107143 0.178571 0.107143 [17,18[ 17.5 0 0 0.178571 0 [18,19[ 18.5 9 0.107143 0.285714 0.107143 [19,20[ 19.5 15 0.178571 0.464286 0.178571 [20,21[ 20.5 12 0.142857 0.607143 0.142857 [21,22[ 21.5 3 0.035714 0.642857 0.035714 [22,23[ 22.5 9 0.107143 0.75 0.107143 [23,24[ 23.5 9 0.107143 0.857143 0.107143 [24,25[ 24.5 6 0.071429 0.928571 0.071429 [25,26[ 25.5 3 0.035714 0.964286 0.035714 [26,27[ 26.5 0 0 0.964286 0 [27,28[ 27.5 0 0 0.964286 0 [28,29] 28.5 3 0.035714 1 0.035714

par4 <- 'Unknown'par3 <- 'FALSE'par2 <- 'grey'par1 <- '15'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')}