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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Tue, 14 Feb 2012 08:09:55 -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/14/t13292250245l5302jijansw0z.htm/, Retrieved Mon, 29 Apr 2024 08:26:59 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162286, Retrieved Mon, 29 Apr 2024 08:26:59 +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)

-       [Histogram] [Prijs Evolutie pe...] [2012-02-14 13:09:55] [732e4567293b40941604fcb6ea096e93] [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	0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162286&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]0 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=162286&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162286&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	0 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[15,15.2[	15.1	1	0.016667	0.016667	0.083333
[15.2,15.4[	15.3	3	0.05	0.066667	0.25
[15.4,15.6[	15.5	7	0.116667	0.183333	0.583333
[15.6,15.8[	15.7	2	0.033333	0.216667	0.166667
[15.8,16[	15.9	7	0.116667	0.333333	0.583333
[16,16.2[	16.1	6	0.1	0.433333	0.5
[16.2,16.4[	16.3	1	0.016667	0.45	0.083333
[16.4,16.6[	16.5	4	0.066667	0.516667	0.333333
[16.6,16.8[	16.7	2	0.033333	0.55	0.166667
[16.8,17[	16.9	4	0.066667	0.616667	0.333333
[17,17.2[	17.1	3	0.05	0.666667	0.25
[17.2,17.4[	17.3	3	0.05	0.716667	0.25
[17.4,17.6[	17.5	4	0.066667	0.783333	0.333333
[17.6,17.8[	17.7	8	0.133333	0.916667	0.666667
[17.8,18]	17.9	5	0.083333	1	0.416667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[15,15.2[ & 15.1 & 1 & 0.016667 & 0.016667 & 0.083333 \tabularnewline
[15.2,15.4[ & 15.3 & 3 & 0.05 & 0.066667 & 0.25 \tabularnewline
[15.4,15.6[ & 15.5 & 7 & 0.116667 & 0.183333 & 0.583333 \tabularnewline
[15.6,15.8[ & 15.7 & 2 & 0.033333 & 0.216667 & 0.166667 \tabularnewline
[15.8,16[ & 15.9 & 7 & 0.116667 & 0.333333 & 0.583333 \tabularnewline
[16,16.2[ & 16.1 & 6 & 0.1 & 0.433333 & 0.5 \tabularnewline
[16.2,16.4[ & 16.3 & 1 & 0.016667 & 0.45 & 0.083333 \tabularnewline
[16.4,16.6[ & 16.5 & 4 & 0.066667 & 0.516667 & 0.333333 \tabularnewline
[16.6,16.8[ & 16.7 & 2 & 0.033333 & 0.55 & 0.166667 \tabularnewline
[16.8,17[ & 16.9 & 4 & 0.066667 & 0.616667 & 0.333333 \tabularnewline
[17,17.2[ & 17.1 & 3 & 0.05 & 0.666667 & 0.25 \tabularnewline
[17.2,17.4[ & 17.3 & 3 & 0.05 & 0.716667 & 0.25 \tabularnewline
[17.4,17.6[ & 17.5 & 4 & 0.066667 & 0.783333 & 0.333333 \tabularnewline
[17.6,17.8[ & 17.7 & 8 & 0.133333 & 0.916667 & 0.666667 \tabularnewline
[17.8,18] & 17.9 & 5 & 0.083333 & 1 & 0.416667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162286&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][15,15.2[[/C][C]15.1[/C][C]1[/C][C]0.016667[/C][C]0.016667[/C][C]0.083333[/C][/ROW]
[ROW][C][15.2,15.4[[/C][C]15.3[/C][C]3[/C][C]0.05[/C][C]0.066667[/C][C]0.25[/C][/ROW]
[ROW][C][15.4,15.6[[/C][C]15.5[/C][C]7[/C][C]0.116667[/C][C]0.183333[/C][C]0.583333[/C][/ROW]
[ROW][C][15.6,15.8[[/C][C]15.7[/C][C]2[/C][C]0.033333[/C][C]0.216667[/C][C]0.166667[/C][/ROW]
[ROW][C][15.8,16[[/C][C]15.9[/C][C]7[/C][C]0.116667[/C][C]0.333333[/C][C]0.583333[/C][/ROW]
[ROW][C][16,16.2[[/C][C]16.1[/C][C]6[/C][C]0.1[/C][C]0.433333[/C][C]0.5[/C][/ROW]
[ROW][C][16.2,16.4[[/C][C]16.3[/C][C]1[/C][C]0.016667[/C][C]0.45[/C][C]0.083333[/C][/ROW]
[ROW][C][16.4,16.6[[/C][C]16.5[/C][C]4[/C][C]0.066667[/C][C]0.516667[/C][C]0.333333[/C][/ROW]
[ROW][C][16.6,16.8[[/C][C]16.7[/C][C]2[/C][C]0.033333[/C][C]0.55[/C][C]0.166667[/C][/ROW]
[ROW][C][16.8,17[[/C][C]16.9[/C][C]4[/C][C]0.066667[/C][C]0.616667[/C][C]0.333333[/C][/ROW]
[ROW][C][17,17.2[[/C][C]17.1[/C][C]3[/C][C]0.05[/C][C]0.666667[/C][C]0.25[/C][/ROW]
[ROW][C][17.2,17.4[[/C][C]17.3[/C][C]3[/C][C]0.05[/C][C]0.716667[/C][C]0.25[/C][/ROW]
[ROW][C][17.4,17.6[[/C][C]17.5[/C][C]4[/C][C]0.066667[/C][C]0.783333[/C][C]0.333333[/C][/ROW]
[ROW][C][17.6,17.8[[/C][C]17.7[/C][C]8[/C][C]0.133333[/C][C]0.916667[/C][C]0.666667[/C][/ROW]
[ROW][C][17.8,18][/C][C]17.9[/C][C]5[/C][C]0.083333[/C][C]1[/C][C]0.416667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162286&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162286&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
[15,15.2[	15.1	1	0.016667	0.016667	0.083333
[15.2,15.4[	15.3	3	0.05	0.066667	0.25
[15.4,15.6[	15.5	7	0.116667	0.183333	0.583333
[15.6,15.8[	15.7	2	0.033333	0.216667	0.166667
[15.8,16[	15.9	7	0.116667	0.333333	0.583333
[16,16.2[	16.1	6	0.1	0.433333	0.5
[16.2,16.4[	16.3	1	0.016667	0.45	0.083333
[16.4,16.6[	16.5	4	0.066667	0.516667	0.333333
[16.6,16.8[	16.7	2	0.033333	0.55	0.166667
[16.8,17[	16.9	4	0.066667	0.616667	0.333333
[17,17.2[	17.1	3	0.05	0.666667	0.25
[17.2,17.4[	17.3	3	0.05	0.716667	0.25
[17.4,17.6[	17.5	4	0.066667	0.783333	0.333333
[17.6,17.8[	17.7	8	0.133333	0.916667	0.666667
[17.8,18]	17.9	5	0.083333	1	0.416667

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 12 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 12 ; 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