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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, 15 Feb 2012 15:08:44 -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/2012/Feb/15/t13293365751ej3q4rtie2swnp.htm/, Retrieved Tue, 07 May 2024 06:28:44 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162552, Retrieved Tue, 07 May 2024 06:28:44 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

KDGP1W1

Estimated Impact

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

-       [Histogram] [gemiddelde prijs ...] [2012-02-15 20:08:44] [578d5b29cc46b28b7bf5a5f7fb36de15] [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	'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162552&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162552&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162552&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	'Gertrude Mary Cox' @ cox.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[13,13.2[	13.1	2	0.027778	0.027778	0.138889
[13.2,13.4[	13.3	8	0.111111	0.138889	0.555556
[13.4,13.6[	13.5	14	0.194444	0.333333	0.972222
[13.6,13.8[	13.7	9	0.125	0.458333	0.625
[13.8,14[	13.9	5	0.069444	0.527778	0.347222
[14,14.2[	14.1	4	0.055556	0.583333	0.277778
[14.2,14.4[	14.3	4	0.055556	0.638889	0.277778
[14.4,14.6[	14.5	4	0.055556	0.694444	0.277778
[14.6,14.8[	14.7	6	0.083333	0.777778	0.416667
[14.8,15[	14.9	6	0.083333	0.861111	0.416667
[15,15.2[	15.1	6	0.083333	0.944444	0.416667
[15.2,15.4]	15.3	4	0.055556	1	0.277778

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[13,13.2[ & 13.1 & 2 & 0.027778 & 0.027778 & 0.138889 \tabularnewline
[13.2,13.4[ & 13.3 & 8 & 0.111111 & 0.138889 & 0.555556 \tabularnewline
[13.4,13.6[ & 13.5 & 14 & 0.194444 & 0.333333 & 0.972222 \tabularnewline
[13.6,13.8[ & 13.7 & 9 & 0.125 & 0.458333 & 0.625 \tabularnewline
[13.8,14[ & 13.9 & 5 & 0.069444 & 0.527778 & 0.347222 \tabularnewline
[14,14.2[ & 14.1 & 4 & 0.055556 & 0.583333 & 0.277778 \tabularnewline
[14.2,14.4[ & 14.3 & 4 & 0.055556 & 0.638889 & 0.277778 \tabularnewline
[14.4,14.6[ & 14.5 & 4 & 0.055556 & 0.694444 & 0.277778 \tabularnewline
[14.6,14.8[ & 14.7 & 6 & 0.083333 & 0.777778 & 0.416667 \tabularnewline
[14.8,15[ & 14.9 & 6 & 0.083333 & 0.861111 & 0.416667 \tabularnewline
[15,15.2[ & 15.1 & 6 & 0.083333 & 0.944444 & 0.416667 \tabularnewline
[15.2,15.4] & 15.3 & 4 & 0.055556 & 1 & 0.277778 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162552&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][13,13.2[[/C][C]13.1[/C][C]2[/C][C]0.027778[/C][C]0.027778[/C][C]0.138889[/C][/ROW]
[ROW][C][13.2,13.4[[/C][C]13.3[/C][C]8[/C][C]0.111111[/C][C]0.138889[/C][C]0.555556[/C][/ROW]
[ROW][C][13.4,13.6[[/C][C]13.5[/C][C]14[/C][C]0.194444[/C][C]0.333333[/C][C]0.972222[/C][/ROW]
[ROW][C][13.6,13.8[[/C][C]13.7[/C][C]9[/C][C]0.125[/C][C]0.458333[/C][C]0.625[/C][/ROW]
[ROW][C][13.8,14[[/C][C]13.9[/C][C]5[/C][C]0.069444[/C][C]0.527778[/C][C]0.347222[/C][/ROW]
[ROW][C][14,14.2[[/C][C]14.1[/C][C]4[/C][C]0.055556[/C][C]0.583333[/C][C]0.277778[/C][/ROW]
[ROW][C][14.2,14.4[[/C][C]14.3[/C][C]4[/C][C]0.055556[/C][C]0.638889[/C][C]0.277778[/C][/ROW]
[ROW][C][14.4,14.6[[/C][C]14.5[/C][C]4[/C][C]0.055556[/C][C]0.694444[/C][C]0.277778[/C][/ROW]
[ROW][C][14.6,14.8[[/C][C]14.7[/C][C]6[/C][C]0.083333[/C][C]0.777778[/C][C]0.416667[/C][/ROW]
[ROW][C][14.8,15[[/C][C]14.9[/C][C]6[/C][C]0.083333[/C][C]0.861111[/C][C]0.416667[/C][/ROW]
[ROW][C][15,15.2[[/C][C]15.1[/C][C]6[/C][C]0.083333[/C][C]0.944444[/C][C]0.416667[/C][/ROW]
[ROW][C][15.2,15.4][/C][C]15.3[/C][C]4[/C][C]0.055556[/C][C]1[/C][C]0.277778[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162552&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162552&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
[13,13.2[	13.1	2	0.027778	0.027778	0.138889
[13.2,13.4[	13.3	8	0.111111	0.138889	0.555556
[13.4,13.6[	13.5	14	0.194444	0.333333	0.972222
[13.6,13.8[	13.7	9	0.125	0.458333	0.625
[13.8,14[	13.9	5	0.069444	0.527778	0.347222
[14,14.2[	14.1	4	0.055556	0.583333	0.277778
[14.2,14.4[	14.3	4	0.055556	0.638889	0.277778
[14.4,14.6[	14.5	4	0.055556	0.694444	0.277778
[14.6,14.8[	14.7	6	0.083333	0.777778	0.416667
[14.8,15[	14.9	6	0.083333	0.861111	0.416667
[15,15.2[	15.1	6	0.083333	0.944444	0.416667
[15.2,15.4]	15.3	4	0.055556	1	0.277778

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

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

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.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