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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Wed, 20 Feb 2008 07:33:06 -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/20/t1203518023g29gg00hyedp0ly.htm/, Retrieved Sat, 11 May 2024 22:16:06 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=8432, Retrieved Sat, 11 May 2024 22:16:06 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

239

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

-       [Histogram] [] [2008-02-20 14:33:06] [0344071b671470f3024f96efc0c7614f] [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	1 seconds
R Server	'George Udny Yule' @ 72.249.76.132

\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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8432&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=8432&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8432&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	1 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[12.2,12.4[	12.3	5	0.069444	0.069444	0.347222
[12.4,12.6[	12.5	11	0.152778	0.222222	0.763889
[12.6,12.8[	12.7	7	0.097222	0.319444	0.486111
[12.8,13[	12.9	2	0.027778	0.347222	0.138889
[13,13.2[	13.1	9	0.125	0.472222	0.625
[13.2,13.4[	13.3	10	0.138889	0.611111	0.694444
[13.4,13.6[	13.5	8	0.111111	0.722222	0.555556
[13.6,13.8[	13.7	8	0.111111	0.833333	0.555556
[13.8,14[	13.9	3	0.041667	0.875	0.208333
[14,14.2]	14.1	9	0.125	1	0.625

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[12.2,12.4[ & 12.3 & 5 & 0.069444 & 0.069444 & 0.347222 \tabularnewline
[12.4,12.6[ & 12.5 & 11 & 0.152778 & 0.222222 & 0.763889 \tabularnewline
[12.6,12.8[ & 12.7 & 7 & 0.097222 & 0.319444 & 0.486111 \tabularnewline
[12.8,13[ & 12.9 & 2 & 0.027778 & 0.347222 & 0.138889 \tabularnewline
[13,13.2[ & 13.1 & 9 & 0.125 & 0.472222 & 0.625 \tabularnewline
[13.2,13.4[ & 13.3 & 10 & 0.138889 & 0.611111 & 0.694444 \tabularnewline
[13.4,13.6[ & 13.5 & 8 & 0.111111 & 0.722222 & 0.555556 \tabularnewline
[13.6,13.8[ & 13.7 & 8 & 0.111111 & 0.833333 & 0.555556 \tabularnewline
[13.8,14[ & 13.9 & 3 & 0.041667 & 0.875 & 0.208333 \tabularnewline
[14,14.2] & 14.1 & 9 & 0.125 & 1 & 0.625 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8432&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][12.2,12.4[[/C][C]12.3[/C][C]5[/C][C]0.069444[/C][C]0.069444[/C][C]0.347222[/C][/ROW]
[ROW][C][12.4,12.6[[/C][C]12.5[/C][C]11[/C][C]0.152778[/C][C]0.222222[/C][C]0.763889[/C][/ROW]
[ROW][C][12.6,12.8[[/C][C]12.7[/C][C]7[/C][C]0.097222[/C][C]0.319444[/C][C]0.486111[/C][/ROW]
[ROW][C][12.8,13[[/C][C]12.9[/C][C]2[/C][C]0.027778[/C][C]0.347222[/C][C]0.138889[/C][/ROW]
[ROW][C][13,13.2[[/C][C]13.1[/C][C]9[/C][C]0.125[/C][C]0.472222[/C][C]0.625[/C][/ROW]
[ROW][C][13.2,13.4[[/C][C]13.3[/C][C]10[/C][C]0.138889[/C][C]0.611111[/C][C]0.694444[/C][/ROW]
[ROW][C][13.4,13.6[[/C][C]13.5[/C][C]8[/C][C]0.111111[/C][C]0.722222[/C][C]0.555556[/C][/ROW]
[ROW][C][13.6,13.8[[/C][C]13.7[/C][C]8[/C][C]0.111111[/C][C]0.833333[/C][C]0.555556[/C][/ROW]
[ROW][C][13.8,14[[/C][C]13.9[/C][C]3[/C][C]0.041667[/C][C]0.875[/C][C]0.208333[/C][/ROW]
[ROW][C][14,14.2][/C][C]14.1[/C][C]9[/C][C]0.125[/C][C]1[/C][C]0.625[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=8432&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8432&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
[12.2,12.4[	12.3	5	0.069444	0.069444	0.347222
[12.4,12.6[	12.5	11	0.152778	0.222222	0.763889
[12.6,12.8[	12.7	7	0.097222	0.319444	0.486111
[12.8,13[	12.9	2	0.027778	0.347222	0.138889
[13,13.2[	13.1	9	0.125	0.472222	0.625
[13.2,13.4[	13.3	10	0.138889	0.611111	0.694444
[13.4,13.6[	13.5	8	0.111111	0.722222	0.555556
[13.6,13.8[	13.7	8	0.111111	0.833333	0.555556
[13.8,14[	13.9	3	0.041667	0.875	0.208333
[14,14.2]	14.1	9	0.125	1	0.625

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = Gemiddelde prijs haarsnit heren ; par2 = www.belgostat.be ; par3 = prijzen ;

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