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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Fri, 02 Dec 2011 06:32:40 -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/Dec/02/t13228256920livxkgu8y9o9zn.htm/, Retrieved Sun, 28 Apr 2024 23:08:32 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=150122, Retrieved Sun, 28 Apr 2024 23:08:32 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

129

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

-     [Histogram] [Bad example of Hi...] [2010-09-25 09:28:23] [b98453cac15ba1066b407e146608df68]
- R P   [Histogram] [Workshop 1; task 3] [2011-09-30 09:51:20] [0f81819b439c6e991d1a2004e9982756]
- R  D      [Histogram] [D1 H&F] [2011-12-02 11:32:40] [cdf03f2f7d2bbe3f2da091606ae8e03f] [Current]

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Dataseries X:

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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=150122&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=150122&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=150122&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
[300,350[	325	4	0.031008	0.031008	0.00062
[350,400[	375	8	0.062016	0.093023	0.00124
[400,450[	425	5	0.03876	0.131783	0.000775
[450,500[	475	1	0.007752	0.139535	0.000155
[500,550[	525	2	0.015504	0.155039	0.00031
[550,600[	575	7	0.054264	0.209302	0.001085
[600,650[	625	27	0.209302	0.418605	0.004186
[650,700[	675	18	0.139535	0.55814	0.002791
[700,750[	725	17	0.131783	0.689922	0.002636
[750,800[	775	15	0.116279	0.806202	0.002326
[800,850[	825	7	0.054264	0.860465	0.001085
[850,900[	875	7	0.054264	0.914729	0.001085
[900,950[	925	4	0.031008	0.945736	0.00062
[950,1000[	975	3	0.023256	0.968992	0.000465
[1000,1050[	1025	3	0.023256	0.992248	0.000465
[1050,1100[	1075	0	0	0.992248	0
[1100,1150]	1125	1	0.007752	1	0.000155

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[300,350[ & 325 & 4 & 0.031008 & 0.031008 & 0.00062 \tabularnewline
[350,400[ & 375 & 8 & 0.062016 & 0.093023 & 0.00124 \tabularnewline
[400,450[ & 425 & 5 & 0.03876 & 0.131783 & 0.000775 \tabularnewline
[450,500[ & 475 & 1 & 0.007752 & 0.139535 & 0.000155 \tabularnewline
[500,550[ & 525 & 2 & 0.015504 & 0.155039 & 0.00031 \tabularnewline
[550,600[ & 575 & 7 & 0.054264 & 0.209302 & 0.001085 \tabularnewline
[600,650[ & 625 & 27 & 0.209302 & 0.418605 & 0.004186 \tabularnewline
[650,700[ & 675 & 18 & 0.139535 & 0.55814 & 0.002791 \tabularnewline
[700,750[ & 725 & 17 & 0.131783 & 0.689922 & 0.002636 \tabularnewline
[750,800[ & 775 & 15 & 0.116279 & 0.806202 & 0.002326 \tabularnewline
[800,850[ & 825 & 7 & 0.054264 & 0.860465 & 0.001085 \tabularnewline
[850,900[ & 875 & 7 & 0.054264 & 0.914729 & 0.001085 \tabularnewline
[900,950[ & 925 & 4 & 0.031008 & 0.945736 & 0.00062 \tabularnewline
[950,1000[ & 975 & 3 & 0.023256 & 0.968992 & 0.000465 \tabularnewline
[1000,1050[ & 1025 & 3 & 0.023256 & 0.992248 & 0.000465 \tabularnewline
[1050,1100[ & 1075 & 0 & 0 & 0.992248 & 0 \tabularnewline
[1100,1150] & 1125 & 1 & 0.007752 & 1 & 0.000155 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=150122&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][300,350[[/C][C]325[/C][C]4[/C][C]0.031008[/C][C]0.031008[/C][C]0.00062[/C][/ROW]
[ROW][C][350,400[[/C][C]375[/C][C]8[/C][C]0.062016[/C][C]0.093023[/C][C]0.00124[/C][/ROW]
[ROW][C][400,450[[/C][C]425[/C][C]5[/C][C]0.03876[/C][C]0.131783[/C][C]0.000775[/C][/ROW]
[ROW][C][450,500[[/C][C]475[/C][C]1[/C][C]0.007752[/C][C]0.139535[/C][C]0.000155[/C][/ROW]
[ROW][C][500,550[[/C][C]525[/C][C]2[/C][C]0.015504[/C][C]0.155039[/C][C]0.00031[/C][/ROW]
[ROW][C][550,600[[/C][C]575[/C][C]7[/C][C]0.054264[/C][C]0.209302[/C][C]0.001085[/C][/ROW]
[ROW][C][600,650[[/C][C]625[/C][C]27[/C][C]0.209302[/C][C]0.418605[/C][C]0.004186[/C][/ROW]
[ROW][C][650,700[[/C][C]675[/C][C]18[/C][C]0.139535[/C][C]0.55814[/C][C]0.002791[/C][/ROW]
[ROW][C][700,750[[/C][C]725[/C][C]17[/C][C]0.131783[/C][C]0.689922[/C][C]0.002636[/C][/ROW]
[ROW][C][750,800[[/C][C]775[/C][C]15[/C][C]0.116279[/C][C]0.806202[/C][C]0.002326[/C][/ROW]
[ROW][C][800,850[[/C][C]825[/C][C]7[/C][C]0.054264[/C][C]0.860465[/C][C]0.001085[/C][/ROW]
[ROW][C][850,900[[/C][C]875[/C][C]7[/C][C]0.054264[/C][C]0.914729[/C][C]0.001085[/C][/ROW]
[ROW][C][900,950[[/C][C]925[/C][C]4[/C][C]0.031008[/C][C]0.945736[/C][C]0.00062[/C][/ROW]
[ROW][C][950,1000[[/C][C]975[/C][C]3[/C][C]0.023256[/C][C]0.968992[/C][C]0.000465[/C][/ROW]
[ROW][C][1000,1050[[/C][C]1025[/C][C]3[/C][C]0.023256[/C][C]0.992248[/C][C]0.000465[/C][/ROW]
[ROW][C][1050,1100[[/C][C]1075[/C][C]0[/C][C]0[/C][C]0.992248[/C][C]0[/C][/ROW]
[ROW][C][1100,1150][/C][C]1125[/C][C]1[/C][C]0.007752[/C][C]1[/C][C]0.000155[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=150122&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=150122&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
[300,350[	325	4	0.031008	0.031008	0.00062
[350,400[	375	8	0.062016	0.093023	0.00124
[400,450[	425	5	0.03876	0.131783	0.000775
[450,500[	475	1	0.007752	0.139535	0.000155
[500,550[	525	2	0.015504	0.155039	0.00031
[550,600[	575	7	0.054264	0.209302	0.001085
[600,650[	625	27	0.209302	0.418605	0.004186
[650,700[	675	18	0.139535	0.55814	0.002791
[700,750[	725	17	0.131783	0.689922	0.002636
[750,800[	775	15	0.116279	0.806202	0.002326
[800,850[	825	7	0.054264	0.860465	0.001085
[850,900[	875	7	0.054264	0.914729	0.001085
[900,950[	925	4	0.031008	0.945736	0.00062
[950,1000[	975	3	0.023256	0.968992	0.000465
[1000,1050[	1025	3	0.023256	0.992248	0.000465
[1050,1100[	1075	0	0	0.992248	0
[1100,1150]	1125	1	0.007752	1	0.000155

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 20 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 20 ; 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