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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Fri, 02 Oct 2015 17:14:00 +0100

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/2015/Oct/02/t1443802563xd04pdsxvu3iiyx.htm/, Retrieved Tue, 14 May 2024 09:25:31 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281150, Retrieved Tue, 14 May 2024 09:25:31 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

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

-       [Histogram] [] [2015-10-02 16:14:00] [c1ddba2a8e5acbd364f51ad7d8f1d5c9] [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	'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=281150&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=281150&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281150&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	'George Udny Yule' @ yule.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[86,88[	87	9	0.083333	0.083333	0.041667
[88,90[	89	12	0.111111	0.194444	0.055556
[90,92[	91	12	0.111111	0.305556	0.055556
[92,94[	93	12	0.111111	0.416667	0.055556
[94,96[	95	0	0	0.416667	0
[96,98[	97	24	0.222222	0.638889	0.111111
[98,100[	99	24	0.222222	0.861111	0.111111
[100,102[	101	12	0.111111	0.972222	0.055556
[102,104]	103	3	0.027778	1	0.013889

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[86,88[ & 87 & 9 & 0.083333 & 0.083333 & 0.041667 \tabularnewline
[88,90[ & 89 & 12 & 0.111111 & 0.194444 & 0.055556 \tabularnewline
[90,92[ & 91 & 12 & 0.111111 & 0.305556 & 0.055556 \tabularnewline
[92,94[ & 93 & 12 & 0.111111 & 0.416667 & 0.055556 \tabularnewline
[94,96[ & 95 & 0 & 0 & 0.416667 & 0 \tabularnewline
[96,98[ & 97 & 24 & 0.222222 & 0.638889 & 0.111111 \tabularnewline
[98,100[ & 99 & 24 & 0.222222 & 0.861111 & 0.111111 \tabularnewline
[100,102[ & 101 & 12 & 0.111111 & 0.972222 & 0.055556 \tabularnewline
[102,104] & 103 & 3 & 0.027778 & 1 & 0.013889 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281150&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][86,88[[/C][C]87[/C][C]9[/C][C]0.083333[/C][C]0.083333[/C][C]0.041667[/C][/ROW]
[ROW][C][88,90[[/C][C]89[/C][C]12[/C][C]0.111111[/C][C]0.194444[/C][C]0.055556[/C][/ROW]
[ROW][C][90,92[[/C][C]91[/C][C]12[/C][C]0.111111[/C][C]0.305556[/C][C]0.055556[/C][/ROW]
[ROW][C][92,94[[/C][C]93[/C][C]12[/C][C]0.111111[/C][C]0.416667[/C][C]0.055556[/C][/ROW]
[ROW][C][94,96[[/C][C]95[/C][C]0[/C][C]0[/C][C]0.416667[/C][C]0[/C][/ROW]
[ROW][C][96,98[[/C][C]97[/C][C]24[/C][C]0.222222[/C][C]0.638889[/C][C]0.111111[/C][/ROW]
[ROW][C][98,100[[/C][C]99[/C][C]24[/C][C]0.222222[/C][C]0.861111[/C][C]0.111111[/C][/ROW]
[ROW][C][100,102[[/C][C]101[/C][C]12[/C][C]0.111111[/C][C]0.972222[/C][C]0.055556[/C][/ROW]
[ROW][C][102,104][/C][C]103[/C][C]3[/C][C]0.027778[/C][C]1[/C][C]0.013889[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281150&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281150&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
[86,88[	87	9	0.083333	0.083333	0.041667
[88,90[	89	12	0.111111	0.194444	0.055556
[90,92[	91	12	0.111111	0.305556	0.055556
[92,94[	93	12	0.111111	0.416667	0.055556
[94,96[	95	0	0	0.416667	0
[96,98[	97	24	0.222222	0.638889	0.111111
[98,100[	99	24	0.222222	0.861111	0.111111
[100,102[	101	12	0.111111	0.972222	0.055556
[102,104]	103	3	0.027778	1	0.013889

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

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

Parameters (R input):

par1 = ; 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 {
barplot(mytab <- sort(table(x),T),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