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Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Tue, 14 Feb 2012 10:55:48 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/14/t1329235121zbfs7ox4lk9o7lc.htm/, Retrieved Mon, 29 Apr 2024 16:00:43 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162310, Retrieved Mon, 29 Apr 2024 16:00:43 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

KDG2011W2EC

Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Histogram] [] [2012-02-14 15:55:48] [a77d50c199526ea1c5b38e78affe5e1d] [Current]

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Histogram

Boxplots

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	'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=162310&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=162310&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162310&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	'Gertrude Mary Cox' @ cox.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[4,4.05[	4.025	8	0.133333	0.133333	2.666667
[4.05,4.1[	4.075	6	0.1	0.233333	2
[4.1,4.15[	4.125	0	0	0.233333	0
[4.15,4.2[	4.175	0	0	0.233333	0
[4.2,4.25[	4.225	0	0	0.233333	0
[4.25,4.3[	4.275	0	0	0.233333	0
[4.3,4.35[	4.325	1	0.016667	0.25	0.333333
[4.35,4.4[	4.375	0	0	0.25	0
[4.4,4.45[	4.425	1	0.016667	0.266667	0.333333
[4.45,4.5[	4.475	0	0	0.266667	0
[4.5,4.55[	4.525	11	0.183333	0.45	3.666667
[4.55,4.6[	4.575	0	0	0.45	0
[4.6,4.65[	4.625	11	0.183333	0.633333	3.666667
[4.65,4.7[	4.675	1	0.016667	0.65	0.333333
[4.7,4.75[	4.725	7	0.116667	0.766667	2.333333
[4.75,4.8[	4.775	1	0.016667	0.783333	0.333333
[4.8,4.85[	4.825	0	0	0.783333	0
[4.85,4.9[	4.875	5	0.083333	0.866667	1.666667
[4.9,4.95[	4.925	0	0	0.866667	0
[4.95,5]	4.975	8	0.133333	1	2.666667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[4,4.05[ & 4.025 & 8 & 0.133333 & 0.133333 & 2.666667 \tabularnewline
[4.05,4.1[ & 4.075 & 6 & 0.1 & 0.233333 & 2 \tabularnewline
[4.1,4.15[ & 4.125 & 0 & 0 & 0.233333 & 0 \tabularnewline
[4.15,4.2[ & 4.175 & 0 & 0 & 0.233333 & 0 \tabularnewline
[4.2,4.25[ & 4.225 & 0 & 0 & 0.233333 & 0 \tabularnewline
[4.25,4.3[ & 4.275 & 0 & 0 & 0.233333 & 0 \tabularnewline
[4.3,4.35[ & 4.325 & 1 & 0.016667 & 0.25 & 0.333333 \tabularnewline
[4.35,4.4[ & 4.375 & 0 & 0 & 0.25 & 0 \tabularnewline
[4.4,4.45[ & 4.425 & 1 & 0.016667 & 0.266667 & 0.333333 \tabularnewline
[4.45,4.5[ & 4.475 & 0 & 0 & 0.266667 & 0 \tabularnewline
[4.5,4.55[ & 4.525 & 11 & 0.183333 & 0.45 & 3.666667 \tabularnewline
[4.55,4.6[ & 4.575 & 0 & 0 & 0.45 & 0 \tabularnewline
[4.6,4.65[ & 4.625 & 11 & 0.183333 & 0.633333 & 3.666667 \tabularnewline
[4.65,4.7[ & 4.675 & 1 & 0.016667 & 0.65 & 0.333333 \tabularnewline
[4.7,4.75[ & 4.725 & 7 & 0.116667 & 0.766667 & 2.333333 \tabularnewline
[4.75,4.8[ & 4.775 & 1 & 0.016667 & 0.783333 & 0.333333 \tabularnewline
[4.8,4.85[ & 4.825 & 0 & 0 & 0.783333 & 0 \tabularnewline
[4.85,4.9[ & 4.875 & 5 & 0.083333 & 0.866667 & 1.666667 \tabularnewline
[4.9,4.95[ & 4.925 & 0 & 0 & 0.866667 & 0 \tabularnewline
[4.95,5] & 4.975 & 8 & 0.133333 & 1 & 2.666667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162310&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][4,4.05[[/C][C]4.025[/C][C]8[/C][C]0.133333[/C][C]0.133333[/C][C]2.666667[/C][/ROW]
[ROW][C][4.05,4.1[[/C][C]4.075[/C][C]6[/C][C]0.1[/C][C]0.233333[/C][C]2[/C][/ROW]
[ROW][C][4.1,4.15[[/C][C]4.125[/C][C]0[/C][C]0[/C][C]0.233333[/C][C]0[/C][/ROW]
[ROW][C][4.15,4.2[[/C][C]4.175[/C][C]0[/C][C]0[/C][C]0.233333[/C][C]0[/C][/ROW]
[ROW][C][4.2,4.25[[/C][C]4.225[/C][C]0[/C][C]0[/C][C]0.233333[/C][C]0[/C][/ROW]
[ROW][C][4.25,4.3[[/C][C]4.275[/C][C]0[/C][C]0[/C][C]0.233333[/C][C]0[/C][/ROW]
[ROW][C][4.3,4.35[[/C][C]4.325[/C][C]1[/C][C]0.016667[/C][C]0.25[/C][C]0.333333[/C][/ROW]
[ROW][C][4.35,4.4[[/C][C]4.375[/C][C]0[/C][C]0[/C][C]0.25[/C][C]0[/C][/ROW]
[ROW][C][4.4,4.45[[/C][C]4.425[/C][C]1[/C][C]0.016667[/C][C]0.266667[/C][C]0.333333[/C][/ROW]
[ROW][C][4.45,4.5[[/C][C]4.475[/C][C]0[/C][C]0[/C][C]0.266667[/C][C]0[/C][/ROW]
[ROW][C][4.5,4.55[[/C][C]4.525[/C][C]11[/C][C]0.183333[/C][C]0.45[/C][C]3.666667[/C][/ROW]
[ROW][C][4.55,4.6[[/C][C]4.575[/C][C]0[/C][C]0[/C][C]0.45[/C][C]0[/C][/ROW]
[ROW][C][4.6,4.65[[/C][C]4.625[/C][C]11[/C][C]0.183333[/C][C]0.633333[/C][C]3.666667[/C][/ROW]
[ROW][C][4.65,4.7[[/C][C]4.675[/C][C]1[/C][C]0.016667[/C][C]0.65[/C][C]0.333333[/C][/ROW]
[ROW][C][4.7,4.75[[/C][C]4.725[/C][C]7[/C][C]0.116667[/C][C]0.766667[/C][C]2.333333[/C][/ROW]
[ROW][C][4.75,4.8[[/C][C]4.775[/C][C]1[/C][C]0.016667[/C][C]0.783333[/C][C]0.333333[/C][/ROW]
[ROW][C][4.8,4.85[[/C][C]4.825[/C][C]0[/C][C]0[/C][C]0.783333[/C][C]0[/C][/ROW]
[ROW][C][4.85,4.9[[/C][C]4.875[/C][C]5[/C][C]0.083333[/C][C]0.866667[/C][C]1.666667[/C][/ROW]
[ROW][C][4.9,4.95[[/C][C]4.925[/C][C]0[/C][C]0[/C][C]0.866667[/C][C]0[/C][/ROW]
[ROW][C][4.95,5][/C][C]4.975[/C][C]8[/C][C]0.133333[/C][C]1[/C][C]2.666667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162310&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162310&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
[4,4.05[	4.025	8	0.133333	0.133333	2.666667
[4.05,4.1[	4.075	6	0.1	0.233333	2
[4.1,4.15[	4.125	0	0	0.233333	0
[4.15,4.2[	4.175	0	0	0.233333	0
[4.2,4.25[	4.225	0	0	0.233333	0
[4.25,4.3[	4.275	0	0	0.233333	0
[4.3,4.35[	4.325	1	0.016667	0.25	0.333333
[4.35,4.4[	4.375	0	0	0.25	0
[4.4,4.45[	4.425	1	0.016667	0.266667	0.333333
[4.45,4.5[	4.475	0	0	0.266667	0
[4.5,4.55[	4.525	11	0.183333	0.45	3.666667
[4.55,4.6[	4.575	0	0	0.45	0
[4.6,4.65[	4.625	11	0.183333	0.633333	3.666667
[4.65,4.7[	4.675	1	0.016667	0.65	0.333333
[4.7,4.75[	4.725	7	0.116667	0.766667	2.333333
[4.75,4.8[	4.775	1	0.016667	0.783333	0.333333
[4.8,4.85[	4.825	0	0	0.783333	0
[4.85,4.9[	4.875	5	0.083333	0.866667	1.666667
[4.9,4.95[	4.925	0	0	0.866667	0
[4.95,5]	4.975	8	0.133333	1	2.666667

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 20 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 20 ; 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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code