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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Mon, 29 Feb 2016 12:23:39 +0000

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/2016/Feb/29/t1456748743vlxy269elg09qk0.htm/, Retrieved Sun, 10 Nov 2024 19:41:15 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292966, Retrieved Sun, 10 Nov 2024 19:41:15 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

122

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

-       [Histogram] [] [2016-02-29 12:23:39] [409b006d8fa6179b2438b444258b53f7] [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	0 seconds
R Server	'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292966&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292966&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292966&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	'Gwilym Jenkins' @ jenkins.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[99,100[	99.5	3	0.043478	0.043478	0.043478
[100,101[	100.5	5	0.072464	0.115942	0.072464
[101,102[	101.5	4	0.057971	0.173913	0.057971
[102,103[	102.5	6	0.086957	0.26087	0.086957
[103,104[	103.5	14	0.202899	0.463768	0.202899
[104,105[	104.5	18	0.26087	0.724638	0.26087
[105,106[	105.5	7	0.101449	0.826087	0.101449
[106,107]	106.5	12	0.173913	1	0.173913

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[99,100[ & 99.5 & 3 & 0.043478 & 0.043478 & 0.043478 \tabularnewline
[100,101[ & 100.5 & 5 & 0.072464 & 0.115942 & 0.072464 \tabularnewline
[101,102[ & 101.5 & 4 & 0.057971 & 0.173913 & 0.057971 \tabularnewline
[102,103[ & 102.5 & 6 & 0.086957 & 0.26087 & 0.086957 \tabularnewline
[103,104[ & 103.5 & 14 & 0.202899 & 0.463768 & 0.202899 \tabularnewline
[104,105[ & 104.5 & 18 & 0.26087 & 0.724638 & 0.26087 \tabularnewline
[105,106[ & 105.5 & 7 & 0.101449 & 0.826087 & 0.101449 \tabularnewline
[106,107] & 106.5 & 12 & 0.173913 & 1 & 0.173913 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292966&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][99,100[[/C][C]99.5[/C][C]3[/C][C]0.043478[/C][C]0.043478[/C][C]0.043478[/C][/ROW]
[ROW][C][100,101[[/C][C]100.5[/C][C]5[/C][C]0.072464[/C][C]0.115942[/C][C]0.072464[/C][/ROW]
[ROW][C][101,102[[/C][C]101.5[/C][C]4[/C][C]0.057971[/C][C]0.173913[/C][C]0.057971[/C][/ROW]
[ROW][C][102,103[[/C][C]102.5[/C][C]6[/C][C]0.086957[/C][C]0.26087[/C][C]0.086957[/C][/ROW]
[ROW][C][103,104[[/C][C]103.5[/C][C]14[/C][C]0.202899[/C][C]0.463768[/C][C]0.202899[/C][/ROW]
[ROW][C][104,105[[/C][C]104.5[/C][C]18[/C][C]0.26087[/C][C]0.724638[/C][C]0.26087[/C][/ROW]
[ROW][C][105,106[[/C][C]105.5[/C][C]7[/C][C]0.101449[/C][C]0.826087[/C][C]0.101449[/C][/ROW]
[ROW][C][106,107][/C][C]106.5[/C][C]12[/C][C]0.173913[/C][C]1[/C][C]0.173913[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292966&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292966&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
[99,100[	99.5	3	0.043478	0.043478	0.043478
[100,101[	100.5	5	0.072464	0.115942	0.072464
[101,102[	101.5	4	0.057971	0.173913	0.057971
[102,103[	102.5	6	0.086957	0.26087	0.086957
[103,104[	103.5	14	0.202899	0.463768	0.202899
[104,105[	104.5	18	0.26087	0.724638	0.26087
[105,106[	105.5	7	0.101449	0.826087	0.101449
[106,107]	106.5	12	0.173913	1	0.173913

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 10 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 10 ; 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