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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Thu, 06 Oct 2011 19:14:05 -0400

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/2011/Oct/06/t1317943197wvsnvylead9y5ch.htm/, Retrieved Wed, 15 May 2024 05:00:56 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=127123, Retrieved Wed, 15 May 2024 05:00:56 +0000

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Original text written by user:

Dit is een verbetering van het histogram van mijn eigen ruwe gegevens. Blijkbaar kon dit histogram niet in 12 klassen verdeeld worden en paste het vanzelf slechts 8 klassen toe, terwijl mijn eerste histogram ook al 8 klassen bevatte. Daarom heb ik ervoor gekozen het tweede histogram onder te verdelen in 15 klassen zodat er een duidelijke vergelijking is tussen de 3 histogrammen(8, 15 en 25 klassen).

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] [] [2011-10-06 23:14:05] [f7653f7e39425878158499028a118a95] [Current]

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Dataseries X:

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Histogram

Boxplots

5.82
5.85
5.87
5.88
5.9
5.91
5.94
5.97
5.98
6
6.01
6.02
6.11
6.13
6.15
6.15
6.16
6.18
6.21
6.22
6.23
6.26
6.28
6.28
6.29
6.32
6.36
6.37
6.38
6.38
6.4
6.41
6.42
6.43
6.44
6.47
6.47
6.48
6.51
6.54
6.56
6.57
6.6
6.62
6.65
6.71
6.76
6.78
6.8
6.83
6.86
6.86
6.87
6.88
6.9
6.92
6.93
6.94
6.96
6.98
6.99
7.01
7.06
7.07
7.08
7.08
7.1
7.11
7.22
7.24
7.25
7.26

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 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 & 0 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127123&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127123&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127123&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	0 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[5.8,5.9[	5.85	4	0.055556	0.055556	0.555556
[5.9,6[	5.95	5	0.069444	0.125	0.694444
[6,6.1[	6.05	3	0.041667	0.166667	0.416667
[6.1,6.2[	6.15	6	0.083333	0.25	0.833333
[6.2,6.3[	6.25	7	0.097222	0.347222	0.972222
[6.3,6.4[	6.35	5	0.069444	0.416667	0.694444
[6.4,6.5[	6.45	8	0.111111	0.527778	1.111111
[6.5,6.6[	6.55	4	0.055556	0.583333	0.555556
[6.6,6.7[	6.65	3	0.041667	0.625	0.416667
[6.7,6.8[	6.75	3	0.041667	0.666667	0.416667
[6.8,6.9[	6.85	6	0.083333	0.75	0.833333
[6.9,7[	6.95	7	0.097222	0.847222	0.972222
[7,7.1[	7.05	5	0.069444	0.916667	0.694444
[7.1,7.2[	7.15	2	0.027778	0.944444	0.277778
[7.2,7.3]	7.25	4	0.055556	1	0.555556

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[5.8,5.9[ & 5.85 & 4 & 0.055556 & 0.055556 & 0.555556 \tabularnewline
[5.9,6[ & 5.95 & 5 & 0.069444 & 0.125 & 0.694444 \tabularnewline
[6,6.1[ & 6.05 & 3 & 0.041667 & 0.166667 & 0.416667 \tabularnewline
[6.1,6.2[ & 6.15 & 6 & 0.083333 & 0.25 & 0.833333 \tabularnewline
[6.2,6.3[ & 6.25 & 7 & 0.097222 & 0.347222 & 0.972222 \tabularnewline
[6.3,6.4[ & 6.35 & 5 & 0.069444 & 0.416667 & 0.694444 \tabularnewline
[6.4,6.5[ & 6.45 & 8 & 0.111111 & 0.527778 & 1.111111 \tabularnewline
[6.5,6.6[ & 6.55 & 4 & 0.055556 & 0.583333 & 0.555556 \tabularnewline
[6.6,6.7[ & 6.65 & 3 & 0.041667 & 0.625 & 0.416667 \tabularnewline
[6.7,6.8[ & 6.75 & 3 & 0.041667 & 0.666667 & 0.416667 \tabularnewline
[6.8,6.9[ & 6.85 & 6 & 0.083333 & 0.75 & 0.833333 \tabularnewline
[6.9,7[ & 6.95 & 7 & 0.097222 & 0.847222 & 0.972222 \tabularnewline
[7,7.1[ & 7.05 & 5 & 0.069444 & 0.916667 & 0.694444 \tabularnewline
[7.1,7.2[ & 7.15 & 2 & 0.027778 & 0.944444 & 0.277778 \tabularnewline
[7.2,7.3] & 7.25 & 4 & 0.055556 & 1 & 0.555556 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127123&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][5.8,5.9[[/C][C]5.85[/C][C]4[/C][C]0.055556[/C][C]0.055556[/C][C]0.555556[/C][/ROW]
[ROW][C][5.9,6[[/C][C]5.95[/C][C]5[/C][C]0.069444[/C][C]0.125[/C][C]0.694444[/C][/ROW]
[ROW][C][6,6.1[[/C][C]6.05[/C][C]3[/C][C]0.041667[/C][C]0.166667[/C][C]0.416667[/C][/ROW]
[ROW][C][6.1,6.2[[/C][C]6.15[/C][C]6[/C][C]0.083333[/C][C]0.25[/C][C]0.833333[/C][/ROW]
[ROW][C][6.2,6.3[[/C][C]6.25[/C][C]7[/C][C]0.097222[/C][C]0.347222[/C][C]0.972222[/C][/ROW]
[ROW][C][6.3,6.4[[/C][C]6.35[/C][C]5[/C][C]0.069444[/C][C]0.416667[/C][C]0.694444[/C][/ROW]
[ROW][C][6.4,6.5[[/C][C]6.45[/C][C]8[/C][C]0.111111[/C][C]0.527778[/C][C]1.111111[/C][/ROW]
[ROW][C][6.5,6.6[[/C][C]6.55[/C][C]4[/C][C]0.055556[/C][C]0.583333[/C][C]0.555556[/C][/ROW]
[ROW][C][6.6,6.7[[/C][C]6.65[/C][C]3[/C][C]0.041667[/C][C]0.625[/C][C]0.416667[/C][/ROW]
[ROW][C][6.7,6.8[[/C][C]6.75[/C][C]3[/C][C]0.041667[/C][C]0.666667[/C][C]0.416667[/C][/ROW]
[ROW][C][6.8,6.9[[/C][C]6.85[/C][C]6[/C][C]0.083333[/C][C]0.75[/C][C]0.833333[/C][/ROW]
[ROW][C][6.9,7[[/C][C]6.95[/C][C]7[/C][C]0.097222[/C][C]0.847222[/C][C]0.972222[/C][/ROW]
[ROW][C][7,7.1[[/C][C]7.05[/C][C]5[/C][C]0.069444[/C][C]0.916667[/C][C]0.694444[/C][/ROW]
[ROW][C][7.1,7.2[[/C][C]7.15[/C][C]2[/C][C]0.027778[/C][C]0.944444[/C][C]0.277778[/C][/ROW]
[ROW][C][7.2,7.3][/C][C]7.25[/C][C]4[/C][C]0.055556[/C][C]1[/C][C]0.555556[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127123&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127123&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
[5.8,5.9[	5.85	4	0.055556	0.055556	0.555556
[5.9,6[	5.95	5	0.069444	0.125	0.694444
[6,6.1[	6.05	3	0.041667	0.166667	0.416667
[6.1,6.2[	6.15	6	0.083333	0.25	0.833333
[6.2,6.3[	6.25	7	0.097222	0.347222	0.972222
[6.3,6.4[	6.35	5	0.069444	0.416667	0.694444
[6.4,6.5[	6.45	8	0.111111	0.527778	1.111111
[6.5,6.6[	6.55	4	0.055556	0.583333	0.555556
[6.6,6.7[	6.65	3	0.041667	0.625	0.416667
[6.7,6.8[	6.75	3	0.041667	0.666667	0.416667
[6.8,6.9[	6.85	6	0.083333	0.75	0.833333
[6.9,7[	6.95	7	0.097222	0.847222	0.972222
[7,7.1[	7.05	5	0.069444	0.916667	0.694444
[7.1,7.2[	7.15	2	0.027778	0.944444	0.277778
[7.2,7.3]	7.25	4	0.055556	1	0.555556

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 11 ; par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;

Parameters (R input):

par1 = 11 ; par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;

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