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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Tue, 12 Feb 2008 04:07:00 -0700

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/2008/Feb/12/t1202814584sy1pfi2rzwsnq9o.htm/, Retrieved Sun, 12 May 2024 04:29:00 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=8107, Retrieved Sun, 12 May 2024 04:29:00 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

256

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

-       [Histogram] [histogram gemidde...] [2008-02-12 11:07:00] [0de5017ea2334b95113159299296029a] [Current]

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Dataseries X:

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Histogram

Boxplots

Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8107&T=0

[TABLE]
[ROW][C]Summary of compuational 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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=8107&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8107&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 compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[65.5,66[	65.75	7	0.083333	0.083333	0.166667
[66,66.5[	66.25	18	0.214286	0.297619	0.428571
[66.5,67[	66.75	2	0.02381	0.321429	0.047619
[67,67.5[	67.25	6	0.071429	0.392857	0.142857
[67.5,68[	67.75	7	0.083333	0.47619	0.166667
[68,68.5[	68.25	17	0.202381	0.678571	0.404762
[68.5,69[	68.75	22	0.261905	0.940476	0.52381
[69,69.5]	69.25	5	0.059524	1	0.119048

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[65.5,66[ & 65.75 & 7 & 0.083333 & 0.083333 & 0.166667 \tabularnewline
[66,66.5[ & 66.25 & 18 & 0.214286 & 0.297619 & 0.428571 \tabularnewline
[66.5,67[ & 66.75 & 2 & 0.02381 & 0.321429 & 0.047619 \tabularnewline
[67,67.5[ & 67.25 & 6 & 0.071429 & 0.392857 & 0.142857 \tabularnewline
[67.5,68[ & 67.75 & 7 & 0.083333 & 0.47619 & 0.166667 \tabularnewline
[68,68.5[ & 68.25 & 17 & 0.202381 & 0.678571 & 0.404762 \tabularnewline
[68.5,69[ & 68.75 & 22 & 0.261905 & 0.940476 & 0.52381 \tabularnewline
[69,69.5] & 69.25 & 5 & 0.059524 & 1 & 0.119048 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8107&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][65.5,66[[/C][C]65.75[/C][C]7[/C][C]0.083333[/C][C]0.083333[/C][C]0.166667[/C][/ROW]
[ROW][C][66,66.5[[/C][C]66.25[/C][C]18[/C][C]0.214286[/C][C]0.297619[/C][C]0.428571[/C][/ROW]
[ROW][C][66.5,67[[/C][C]66.75[/C][C]2[/C][C]0.02381[/C][C]0.321429[/C][C]0.047619[/C][/ROW]
[ROW][C][67,67.5[[/C][C]67.25[/C][C]6[/C][C]0.071429[/C][C]0.392857[/C][C]0.142857[/C][/ROW]
[ROW][C][67.5,68[[/C][C]67.75[/C][C]7[/C][C]0.083333[/C][C]0.47619[/C][C]0.166667[/C][/ROW]
[ROW][C][68,68.5[[/C][C]68.25[/C][C]17[/C][C]0.202381[/C][C]0.678571[/C][C]0.404762[/C][/ROW]
[ROW][C][68.5,69[[/C][C]68.75[/C][C]22[/C][C]0.261905[/C][C]0.940476[/C][C]0.52381[/C][/ROW]
[ROW][C][69,69.5][/C][C]69.25[/C][C]5[/C][C]0.059524[/C][C]1[/C][C]0.119048[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=8107&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8107&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
[65.5,66[	65.75	7	0.083333	0.083333	0.166667
[66,66.5[	66.25	18	0.214286	0.297619	0.428571
[66.5,67[	66.75	2	0.02381	0.321429	0.047619
[67,67.5[	67.25	6	0.071429	0.392857	0.142857
[67.5,68[	67.75	7	0.083333	0.47619	0.166667
[68,68.5[	68.25	17	0.202381	0.678571	0.404762
[68.5,69[	68.75	22	0.261905	0.940476	0.52381
[69,69.5]	69.25	5	0.059524	1	0.119048

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.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)
}
dev.off()
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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code