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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 computationThu, 20 Nov 2014 11:27:02 +0000
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/Nov/20/t1416482830wgob8ln7vjj0gdk.htm/, Retrieved Sun, 24 May 2026 02:15:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=256794, Retrieved Sun, 24 May 2026 02:15:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact359

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Variability] [Two-Way ANOVA] [2010-11-30 21:42:30] [74be16979710d4c4e7c6647856088456]
- RM    [Two-Way ANOVA] [Two-Way ANOVA - C...] [2011-11-28 17:22:56] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RM      [Two-Way ANOVA] [dgsf] [2014-11-20 11:10:37] [82f2a1daf8663fb1941c75b71e503802]
- RMPD        [Histogram] [] [2014-11-20 11:27:02] [c8980dee4cebf75ff55e6790b4dce381] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4
5
3
4
5
3
7
5
6
3
2
4
5
2
3
6
4
4
6
2

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=256794&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=256794&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=256794&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'George Udny Yule' @ yule.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[2,2.5]2.2530.150.150.3
]2.5,3]2.7540.20.350.4
]3,3.5]3.25000.350
]3.5,4]3.7550.250.60.5
]4,4.5]4.25000.60
]4.5,5]4.7540.20.80.4
]5,5.5]5.25000.80
]5.5,6]5.7530.150.950.3
]6,6.5]6.25000.950
]6.5,7]6.7510.0510.1

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[2,2.5] & 2.25 & 3 & 0.15 & 0.15 & 0.3 \tabularnewline
]2.5,3] & 2.75 & 4 & 0.2 & 0.35 & 0.4 \tabularnewline
]3,3.5] & 3.25 & 0 & 0 & 0.35 & 0 \tabularnewline
]3.5,4] & 3.75 & 5 & 0.25 & 0.6 & 0.5 \tabularnewline
]4,4.5] & 4.25 & 0 & 0 & 0.6 & 0 \tabularnewline
]4.5,5] & 4.75 & 4 & 0.2 & 0.8 & 0.4 \tabularnewline
]5,5.5] & 5.25 & 0 & 0 & 0.8 & 0 \tabularnewline
]5.5,6] & 5.75 & 3 & 0.15 & 0.95 & 0.3 \tabularnewline
]6,6.5] & 6.25 & 0 & 0 & 0.95 & 0 \tabularnewline
]6.5,7] & 6.75 & 1 & 0.05 & 1 & 0.1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=256794&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][2,2.5][/C][C]2.25[/C][C]3[/C][C]0.15[/C][C]0.15[/C][C]0.3[/C][/ROW]
[ROW][C]]2.5,3][/C][C]2.75[/C][C]4[/C][C]0.2[/C][C]0.35[/C][C]0.4[/C][/ROW]
[ROW][C]]3,3.5][/C][C]3.25[/C][C]0[/C][C]0[/C][C]0.35[/C][C]0[/C][/ROW]
[ROW][C]]3.5,4][/C][C]3.75[/C][C]5[/C][C]0.25[/C][C]0.6[/C][C]0.5[/C][/ROW]
[ROW][C]]4,4.5][/C][C]4.25[/C][C]0[/C][C]0[/C][C]0.6[/C][C]0[/C][/ROW]
[ROW][C]]4.5,5][/C][C]4.75[/C][C]4[/C][C]0.2[/C][C]0.8[/C][C]0.4[/C][/ROW]
[ROW][C]]5,5.5][/C][C]5.25[/C][C]0[/C][C]0[/C][C]0.8[/C][C]0[/C][/ROW]
[ROW][C]]5.5,6][/C][C]5.75[/C][C]3[/C][C]0.15[/C][C]0.95[/C][C]0.3[/C][/ROW]
[ROW][C]]6,6.5][/C][C]6.25[/C][C]0[/C][C]0[/C][C]0.95[/C][C]0[/C][/ROW]
[ROW][C]]6.5,7][/C][C]6.75[/C][C]1[/C][C]0.05[/C][C]1[/C][C]0.1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=256794&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=256794&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
[2,2.5]2.2530.150.150.3
]2.5,3]2.7540.20.350.4
]3,3.5]3.25000.350
]3.5,4]3.7550.250.60.5
]4,4.5]4.25000.60
]4.5,5]4.7540.20.80.4
]5,5.5]5.25000.80
]5.5,6]5.7530.150.950.3
]6,6.5]6.25000.950
]6.5,7]6.7510.0510.1


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 10 ; par2 = grey ; par3 = TRUE ; par4 = Unknown ;
Parameters (R input):
par1 = 10 ; par2 = grey ; par3 = TRUE ; par4 = Unknown ;
R code (references can be found in the software module):
par4 <- 'Unknown'
par3 <- 'TRUE'
par2 <- 'grey'
par1 <- '10'
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')
}