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Author

*The author of this computation has been verified*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Sun, 13 Nov 2011 11:34:19 -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/2011/Nov/13/t1321202070ir9ympw7lqqx1do.htm/, Retrieved Fri, 19 Apr 2024 19:24:00 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=141782, Retrieved Fri, 19 Apr 2024 19:24:00 +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)

-     [Central Tendency] [Arabica Price in ...] [2008-01-06 21:28:17] [74be16979710d4c4e7c6647856088456]
- RMPD  [Central Tendency] [] [2011-11-13 16:00:52] [71981af30b475eff259f311228330cd7]
- RMPD      [Histogram] [] [2011-11-13 16:34:19] [f04206f511735117c791d4a2bb2fa643] [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=141782&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=141782&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141782&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
[2200,2300[	2250	2	0.033333	0.033333	0.000333
[2300,2400[	2350	3	0.05	0.083333	5e-04
[2400,2500[	2450	2	0.033333	0.116667	0.000333
[2500,2600[	2550	0	0	0.116667	0
[2600,2700[	2650	1	0.016667	0.133333	0.000167
[2700,2800[	2750	0	0	0.133333	0
[2800,2900[	2850	2	0.033333	0.166667	0.000333
[2900,3000[	2950	2	0.033333	0.2	0.000333
[3000,3100[	3050	16	0.266667	0.466667	0.002667
[3100,3200[	3150	11	0.183333	0.65	0.001833
[3200,3300[	3250	11	0.183333	0.833333	0.001833
[3300,3400[	3350	9	0.15	0.983333	0.0015
[3400,3500]	3450	1	0.016667	1	0.000167

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[2200,2300[ & 2250 & 2 & 0.033333 & 0.033333 & 0.000333 \tabularnewline
[2300,2400[ & 2350 & 3 & 0.05 & 0.083333 & 5e-04 \tabularnewline
[2400,2500[ & 2450 & 2 & 0.033333 & 0.116667 & 0.000333 \tabularnewline
[2500,2600[ & 2550 & 0 & 0 & 0.116667 & 0 \tabularnewline
[2600,2700[ & 2650 & 1 & 0.016667 & 0.133333 & 0.000167 \tabularnewline
[2700,2800[ & 2750 & 0 & 0 & 0.133333 & 0 \tabularnewline
[2800,2900[ & 2850 & 2 & 0.033333 & 0.166667 & 0.000333 \tabularnewline
[2900,3000[ & 2950 & 2 & 0.033333 & 0.2 & 0.000333 \tabularnewline
[3000,3100[ & 3050 & 16 & 0.266667 & 0.466667 & 0.002667 \tabularnewline
[3100,3200[ & 3150 & 11 & 0.183333 & 0.65 & 0.001833 \tabularnewline
[3200,3300[ & 3250 & 11 & 0.183333 & 0.833333 & 0.001833 \tabularnewline
[3300,3400[ & 3350 & 9 & 0.15 & 0.983333 & 0.0015 \tabularnewline
[3400,3500] & 3450 & 1 & 0.016667 & 1 & 0.000167 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141782&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][2200,2300[[/C][C]2250[/C][C]2[/C][C]0.033333[/C][C]0.033333[/C][C]0.000333[/C][/ROW]
[ROW][C][2300,2400[[/C][C]2350[/C][C]3[/C][C]0.05[/C][C]0.083333[/C][C]5e-04[/C][/ROW]
[ROW][C][2400,2500[[/C][C]2450[/C][C]2[/C][C]0.033333[/C][C]0.116667[/C][C]0.000333[/C][/ROW]
[ROW][C][2500,2600[[/C][C]2550[/C][C]0[/C][C]0[/C][C]0.116667[/C][C]0[/C][/ROW]
[ROW][C][2600,2700[[/C][C]2650[/C][C]1[/C][C]0.016667[/C][C]0.133333[/C][C]0.000167[/C][/ROW]
[ROW][C][2700,2800[[/C][C]2750[/C][C]0[/C][C]0[/C][C]0.133333[/C][C]0[/C][/ROW]
[ROW][C][2800,2900[[/C][C]2850[/C][C]2[/C][C]0.033333[/C][C]0.166667[/C][C]0.000333[/C][/ROW]
[ROW][C][2900,3000[[/C][C]2950[/C][C]2[/C][C]0.033333[/C][C]0.2[/C][C]0.000333[/C][/ROW]
[ROW][C][3000,3100[[/C][C]3050[/C][C]16[/C][C]0.266667[/C][C]0.466667[/C][C]0.002667[/C][/ROW]
[ROW][C][3100,3200[[/C][C]3150[/C][C]11[/C][C]0.183333[/C][C]0.65[/C][C]0.001833[/C][/ROW]
[ROW][C][3200,3300[[/C][C]3250[/C][C]11[/C][C]0.183333[/C][C]0.833333[/C][C]0.001833[/C][/ROW]
[ROW][C][3300,3400[[/C][C]3350[/C][C]9[/C][C]0.15[/C][C]0.983333[/C][C]0.0015[/C][/ROW]
[ROW][C][3400,3500][/C][C]3450[/C][C]1[/C][C]0.016667[/C][C]1[/C][C]0.000167[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141782&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141782&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
[2200,2300[	2250	2	0.033333	0.033333	0.000333
[2300,2400[	2350	3	0.05	0.083333	5e-04
[2400,2500[	2450	2	0.033333	0.116667	0.000333
[2500,2600[	2550	0	0	0.116667	0
[2600,2700[	2650	1	0.016667	0.133333	0.000167
[2700,2800[	2750	0	0	0.133333	0
[2800,2900[	2850	2	0.033333	0.166667	0.000333
[2900,3000[	2950	2	0.033333	0.2	0.000333
[3000,3100[	3050	16	0.266667	0.466667	0.002667
[3100,3200[	3150	11	0.183333	0.65	0.001833
[3200,3300[	3250	11	0.183333	0.833333	0.001833
[3300,3400[	3350	9	0.15	0.983333	0.0015
[3400,3500]	3450	1	0.016667	1	0.000167

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = usa price ; par2 = www.ico.org ; par3 = Retail prices in importing Member countries in US cents per lb (Arabica, 1977/1 - 2006/12) ; par4 = 12 ;

Parameters (R input):

par1 = 11 ; 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