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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, 10 Feb 2014 13:56:41 -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/2014/Feb/10/t1392058671niz9obovn75ph96.htm/, Retrieved Thu, 16 May 2024 13:14:19 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233537, Retrieved Thu, 16 May 2024 13:14:19 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

139

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

-       [Histogram] [consumentenprijs ...] [2014-02-10 18:56:41] [87986ea810528d5717aba44b63d5427b] [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	'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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233537&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233537&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233537&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	'Gwilym Jenkins' @ jenkins.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[72,73[	72.5	7	0.083333	0.083333	0.083333
[73,74[	73.5	13	0.154762	0.238095	0.154762
[74,75[	74.5	31	0.369048	0.607143	0.369048
[75,76[	75.5	4	0.047619	0.654762	0.047619
[76,77[	76.5	6	0.071429	0.72619	0.071429
[77,78[	77.5	6	0.071429	0.797619	0.071429
[78,79[	78.5	13	0.154762	0.952381	0.154762
[79,80]	79.5	4	0.047619	1	0.047619

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[72,73[ & 72.5 & 7 & 0.083333 & 0.083333 & 0.083333 \tabularnewline
[73,74[ & 73.5 & 13 & 0.154762 & 0.238095 & 0.154762 \tabularnewline
[74,75[ & 74.5 & 31 & 0.369048 & 0.607143 & 0.369048 \tabularnewline
[75,76[ & 75.5 & 4 & 0.047619 & 0.654762 & 0.047619 \tabularnewline
[76,77[ & 76.5 & 6 & 0.071429 & 0.72619 & 0.071429 \tabularnewline
[77,78[ & 77.5 & 6 & 0.071429 & 0.797619 & 0.071429 \tabularnewline
[78,79[ & 78.5 & 13 & 0.154762 & 0.952381 & 0.154762 \tabularnewline
[79,80] & 79.5 & 4 & 0.047619 & 1 & 0.047619 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233537&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][72,73[[/C][C]72.5[/C][C]7[/C][C]0.083333[/C][C]0.083333[/C][C]0.083333[/C][/ROW]
[ROW][C][73,74[[/C][C]73.5[/C][C]13[/C][C]0.154762[/C][C]0.238095[/C][C]0.154762[/C][/ROW]
[ROW][C][74,75[[/C][C]74.5[/C][C]31[/C][C]0.369048[/C][C]0.607143[/C][C]0.369048[/C][/ROW]
[ROW][C][75,76[[/C][C]75.5[/C][C]4[/C][C]0.047619[/C][C]0.654762[/C][C]0.047619[/C][/ROW]
[ROW][C][76,77[[/C][C]76.5[/C][C]6[/C][C]0.071429[/C][C]0.72619[/C][C]0.071429[/C][/ROW]
[ROW][C][77,78[[/C][C]77.5[/C][C]6[/C][C]0.071429[/C][C]0.797619[/C][C]0.071429[/C][/ROW]
[ROW][C][78,79[[/C][C]78.5[/C][C]13[/C][C]0.154762[/C][C]0.952381[/C][C]0.154762[/C][/ROW]
[ROW][C][79,80][/C][C]79.5[/C][C]4[/C][C]0.047619[/C][C]1[/C][C]0.047619[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233537&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233537&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
[72,73[	72.5	7	0.083333	0.083333	0.083333
[73,74[	73.5	13	0.154762	0.238095	0.154762
[74,75[	74.5	31	0.369048	0.607143	0.369048
[75,76[	75.5	4	0.047619	0.654762	0.047619
[76,77[	76.5	6	0.071429	0.72619	0.071429
[77,78[	77.5	6	0.071429	0.797619	0.071429
[78,79[	78.5	13	0.154762	0.952381	0.154762
[79,80]	79.5	4	0.047619	1	0.047619

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 {
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