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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Sat, 02 Oct 2010 12:20:31 +0000

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/2010/Oct/02/t1286021976t4gqf74k4mpqai5.htm/, Retrieved Mon, 29 Apr 2024 22:02:45 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79978, Retrieved Mon, 29 Apr 2024 22:02:45 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

KDGP1W21 - PAUWELS

Estimated Impact

106

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

-       [Histogram] [Maximumprijs Stud...] [2010-10-02 12:20:31] [0879bbcec85a2f8393668d46994b687b] [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	10 seconds
R Server	'George Udny Yule' @ 72.249.76.132

\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 & 10 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79978&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]10 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=79978&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79978&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	10 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[0,10[	5	8	0.008889	0.008889	0.000889
[10,20[	15	152	0.168889	0.177778	0.016889
[20,30[	25	602	0.668889	0.846667	0.066889
[30,40[	35	101	0.112222	0.958889	0.011222
[40,50[	45	20	0.022222	0.981111	0.002222
[50,60[	55	16	0.017778	0.998889	0.001778
[60,70]	65	1	0.001111	1	0.000111

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,10[ & 5 & 8 & 0.008889 & 0.008889 & 0.000889 \tabularnewline
[10,20[ & 15 & 152 & 0.168889 & 0.177778 & 0.016889 \tabularnewline
[20,30[ & 25 & 602 & 0.668889 & 0.846667 & 0.066889 \tabularnewline
[30,40[ & 35 & 101 & 0.112222 & 0.958889 & 0.011222 \tabularnewline
[40,50[ & 45 & 20 & 0.022222 & 0.981111 & 0.002222 \tabularnewline
[50,60[ & 55 & 16 & 0.017778 & 0.998889 & 0.001778 \tabularnewline
[60,70] & 65 & 1 & 0.001111 & 1 & 0.000111 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79978&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][0,10[[/C][C]5[/C][C]8[/C][C]0.008889[/C][C]0.008889[/C][C]0.000889[/C][/ROW]
[ROW][C][10,20[[/C][C]15[/C][C]152[/C][C]0.168889[/C][C]0.177778[/C][C]0.016889[/C][/ROW]
[ROW][C][20,30[[/C][C]25[/C][C]602[/C][C]0.668889[/C][C]0.846667[/C][C]0.066889[/C][/ROW]
[ROW][C][30,40[[/C][C]35[/C][C]101[/C][C]0.112222[/C][C]0.958889[/C][C]0.011222[/C][/ROW]
[ROW][C][40,50[[/C][C]45[/C][C]20[/C][C]0.022222[/C][C]0.981111[/C][C]0.002222[/C][/ROW]
[ROW][C][50,60[[/C][C]55[/C][C]16[/C][C]0.017778[/C][C]0.998889[/C][C]0.001778[/C][/ROW]
[ROW][C][60,70][/C][C]65[/C][C]1[/C][C]0.001111[/C][C]1[/C][C]0.000111[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79978&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79978&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
[0,10[	5	8	0.008889	0.008889	0.000889
[10,20[	15	152	0.168889	0.177778	0.016889
[20,30[	25	602	0.668889	0.846667	0.066889
[30,40[	35	101	0.112222	0.958889	0.011222
[40,50[	45	20	0.022222	0.981111	0.002222
[50,60[	55	16	0.017778	0.998889	0.001778
[60,70]	65	1	0.001111	1	0.000111

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 7 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 7 ; 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