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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, 11 Feb 2017 14:21:22 +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/2017/Feb/11/t1486823124gsz54yhb7sq962t.htm/, Retrieved Mon, 13 May 2024 06:48:25 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Mon, 13 May 2024 06:48:25 +0200

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

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	'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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	'Herman Ole Andreas Wold' @ wold.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[97.5,98[	97.75	1	0.016667	0.016667	0.033333
[98,98.5[	98.25	0	0	0.016667	0
[98.5,99[	98.75	8	0.133333	0.15	0.266667
[99,99.5[	99.25	4	0.066667	0.216667	0.133333
[99.5,100[	99.75	3	0.05	0.266667	0.1
[100,100.5[	100.25	17	0.283333	0.55	0.566667
[100.5,101[	100.75	6	0.1	0.65	0.2
[101,101.5[	101.25	4	0.066667	0.716667	0.133333
[101.5,102[	101.75	2	0.033333	0.75	0.066667
[102,102.5[	102.25	4	0.066667	0.816667	0.133333
[102.5,103[	102.75	1	0.016667	0.833333	0.033333
[103,103.5[	103.25	1	0.016667	0.85	0.033333
[103.5,104[	103.75	8	0.133333	0.983333	0.266667
[104,104.5]	104.25	1	0.016667	1	0.033333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[97.5,98[ & 97.75 & 1 & 0.016667 & 0.016667 & 0.033333 \tabularnewline
[98,98.5[ & 98.25 & 0 & 0 & 0.016667 & 0 \tabularnewline
[98.5,99[ & 98.75 & 8 & 0.133333 & 0.15 & 0.266667 \tabularnewline
[99,99.5[ & 99.25 & 4 & 0.066667 & 0.216667 & 0.133333 \tabularnewline
[99.5,100[ & 99.75 & 3 & 0.05 & 0.266667 & 0.1 \tabularnewline
[100,100.5[ & 100.25 & 17 & 0.283333 & 0.55 & 0.566667 \tabularnewline
[100.5,101[ & 100.75 & 6 & 0.1 & 0.65 & 0.2 \tabularnewline
[101,101.5[ & 101.25 & 4 & 0.066667 & 0.716667 & 0.133333 \tabularnewline
[101.5,102[ & 101.75 & 2 & 0.033333 & 0.75 & 0.066667 \tabularnewline
[102,102.5[ & 102.25 & 4 & 0.066667 & 0.816667 & 0.133333 \tabularnewline
[102.5,103[ & 102.75 & 1 & 0.016667 & 0.833333 & 0.033333 \tabularnewline
[103,103.5[ & 103.25 & 1 & 0.016667 & 0.85 & 0.033333 \tabularnewline
[103.5,104[ & 103.75 & 8 & 0.133333 & 0.983333 & 0.266667 \tabularnewline
[104,104.5] & 104.25 & 1 & 0.016667 & 1 & 0.033333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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][97.5,98[[/C][C]97.75[/C][C]1[/C][C]0.016667[/C][C]0.016667[/C][C]0.033333[/C][/ROW]
[ROW][C][98,98.5[[/C][C]98.25[/C][C]0[/C][C]0[/C][C]0.016667[/C][C]0[/C][/ROW]
[ROW][C][98.5,99[[/C][C]98.75[/C][C]8[/C][C]0.133333[/C][C]0.15[/C][C]0.266667[/C][/ROW]
[ROW][C][99,99.5[[/C][C]99.25[/C][C]4[/C][C]0.066667[/C][C]0.216667[/C][C]0.133333[/C][/ROW]
[ROW][C][99.5,100[[/C][C]99.75[/C][C]3[/C][C]0.05[/C][C]0.266667[/C][C]0.1[/C][/ROW]
[ROW][C][100,100.5[[/C][C]100.25[/C][C]17[/C][C]0.283333[/C][C]0.55[/C][C]0.566667[/C][/ROW]
[ROW][C][100.5,101[[/C][C]100.75[/C][C]6[/C][C]0.1[/C][C]0.65[/C][C]0.2[/C][/ROW]
[ROW][C][101,101.5[[/C][C]101.25[/C][C]4[/C][C]0.066667[/C][C]0.716667[/C][C]0.133333[/C][/ROW]
[ROW][C][101.5,102[[/C][C]101.75[/C][C]2[/C][C]0.033333[/C][C]0.75[/C][C]0.066667[/C][/ROW]
[ROW][C][102,102.5[[/C][C]102.25[/C][C]4[/C][C]0.066667[/C][C]0.816667[/C][C]0.133333[/C][/ROW]
[ROW][C][102.5,103[[/C][C]102.75[/C][C]1[/C][C]0.016667[/C][C]0.833333[/C][C]0.033333[/C][/ROW]
[ROW][C][103,103.5[[/C][C]103.25[/C][C]1[/C][C]0.016667[/C][C]0.85[/C][C]0.033333[/C][/ROW]
[ROW][C][103.5,104[[/C][C]103.75[/C][C]8[/C][C]0.133333[/C][C]0.983333[/C][C]0.266667[/C][/ROW]
[ROW][C][104,104.5][/C][C]104.25[/C][C]1[/C][C]0.016667[/C][C]1[/C][C]0.033333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
[97.5,98[	97.75	1	0.016667	0.016667	0.033333
[98,98.5[	98.25	0	0	0.016667	0
[98.5,99[	98.75	8	0.133333	0.15	0.266667
[99,99.5[	99.25	4	0.066667	0.216667	0.133333
[99.5,100[	99.75	3	0.05	0.266667	0.1
[100,100.5[	100.25	17	0.283333	0.55	0.566667
[100.5,101[	100.75	6	0.1	0.65	0.2
[101,101.5[	101.25	4	0.066667	0.716667	0.133333
[101.5,102[	101.75	2	0.033333	0.75	0.066667
[102,102.5[	102.25	4	0.066667	0.816667	0.133333
[102.5,103[	102.75	1	0.016667	0.833333	0.033333
[103,103.5[	103.25	1	0.016667	0.85	0.033333
[103.5,104[	103.75	8	0.133333	0.983333	0.266667
[104,104.5]	104.25	1	0.016667	1	0.033333

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 {
barplot(mytab <- sort(table(x),T),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