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Author's title

Author

*Unverified author*

R Software Module

Title produced by software

Histogram

Date of computation

Sun, 07 Oct 2012 14:06:11 -0400

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/2012/Oct/07/t1349633218cj39wybkek4mk8k.htm/, Retrieved Sat, 04 May 2024 12:22:37 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=173073, Retrieved Sat, 04 May 2024 12:22:37 +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)

-     [Univariate Data Series] [Treinkaartje enke...] [2012-09-23 12:19:17] [c97f1ed9e083b6e685d7991c70cc04e4]
- RMPD  [Histogram] [Treinticket 6 kla...] [2012-10-07 17:32:58] [c97f1ed9e083b6e685d7991c70cc04e4]
- RM        [Histogram] [Treinkaartje stan...] [2012-10-07 18:06:11] [e9693728cfb785c84158f00c620f24e3] [Current]

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Dataseries X:

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Histogram

Boxplots

2.9
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3.1
3.1
3.1
3.1
3.1
3.1
3.1
3.1
3.1
3.1
3.1
3.1
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.5
3.5
3.5
3.5

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=173073&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=173073&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=173073&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
[2.9,3[	2.95	1	0.012987	0.012987	0.12987
[3,3.1[	3.05	24	0.311688	0.324675	3.116883
[3.1,3.2[	3.15	12	0.155844	0.480519	1.558442
[3.2,3.3[	3.25	0	0	0.480519	0
[3.3,3.4[	3.35	36	0.467532	0.948052	4.675325
[3.4,3.5]	3.45	4	0.051948	1	0.519481

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[2.9,3[ & 2.95 & 1 & 0.012987 & 0.012987 & 0.12987 \tabularnewline
[3,3.1[ & 3.05 & 24 & 0.311688 & 0.324675 & 3.116883 \tabularnewline
[3.1,3.2[ & 3.15 & 12 & 0.155844 & 0.480519 & 1.558442 \tabularnewline
[3.2,3.3[ & 3.25 & 0 & 0 & 0.480519 & 0 \tabularnewline
[3.3,3.4[ & 3.35 & 36 & 0.467532 & 0.948052 & 4.675325 \tabularnewline
[3.4,3.5] & 3.45 & 4 & 0.051948 & 1 & 0.519481 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=173073&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][2.9,3[[/C][C]2.95[/C][C]1[/C][C]0.012987[/C][C]0.012987[/C][C]0.12987[/C][/ROW]
[ROW][C][3,3.1[[/C][C]3.05[/C][C]24[/C][C]0.311688[/C][C]0.324675[/C][C]3.116883[/C][/ROW]
[ROW][C][3.1,3.2[[/C][C]3.15[/C][C]12[/C][C]0.155844[/C][C]0.480519[/C][C]1.558442[/C][/ROW]
[ROW][C][3.2,3.3[[/C][C]3.25[/C][C]0[/C][C]0[/C][C]0.480519[/C][C]0[/C][/ROW]
[ROW][C][3.3,3.4[[/C][C]3.35[/C][C]36[/C][C]0.467532[/C][C]0.948052[/C][C]4.675325[/C][/ROW]
[ROW][C][3.4,3.5][/C][C]3.45[/C][C]4[/C][C]0.051948[/C][C]1[/C][C]0.519481[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=173073&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=173073&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
[2.9,3[	2.95	1	0.012987	0.012987	0.12987
[3,3.1[	3.05	24	0.311688	0.324675	3.116883
[3.1,3.2[	3.15	12	0.155844	0.480519	1.558442
[3.2,3.3[	3.25	0	0	0.480519	0
[3.3,3.4[	3.35	36	0.467532	0.948052	4.675325
[3.4,3.5]	3.45	4	0.051948	1	0.519481

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 6 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 6 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;

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