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*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Wed, 28 Sep 2016 16:53:13 +0100

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/2016/Sep/28/t1475078018i47xyyi86xmzv42.htm/, Retrieved Sun, 05 May 2024 20:03:13 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 05 May 2024 20:03:13 +0200

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Estimated Impact

Dataseries X:

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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	'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.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]'Sir Maurice George Kendall' @ kendall.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	'Sir Maurice George Kendall' @ kendall.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[99,99.2[	99.1	2	0.033333	0.033333	0.166667
[99.2,99.4[	99.3	1	0.016667	0.05	0.083333
[99.4,99.6[	99.5	0	0	0.05	0
[99.6,99.8[	99.7	4	0.066667	0.116667	0.333333
[99.8,100[	99.9	1	0.016667	0.133333	0.083333
[100,100.2[	100.1	0	0	0.133333	0
[100.2,100.4[	100.3	1	0.016667	0.15	0.083333
[100.4,100.6[	100.5	3	0.05	0.2	0.25
[100.6,100.8[	100.7	2	0.033333	0.233333	0.166667
[100.8,101[	100.9	4	0.066667	0.3	0.333333
[101,101.2[	101.1	3	0.05	0.35	0.25
[101.2,101.4[	101.3	4	0.066667	0.416667	0.333333
[101.4,101.6[	101.5	5	0.083333	0.5	0.416667
[101.6,101.8[	101.7	2	0.033333	0.533333	0.166667
[101.8,102[	101.9	3	0.05	0.583333	0.25
[102,102.2[	102.1	3	0.05	0.633333	0.25
[102.2,102.4[	102.3	2	0.033333	0.666667	0.166667
[102.4,102.6[	102.5	7	0.116667	0.783333	0.583333
[102.6,102.8[	102.7	2	0.033333	0.816667	0.166667
[102.8,103[	102.9	2	0.033333	0.85	0.166667
[103,103.2[	103.1	5	0.083333	0.933333	0.416667
[103.2,103.4[	103.3	1	0.016667	0.95	0.083333
[103.4,103.6[	103.5	1	0.016667	0.966667	0.083333
[103.6,103.8]	103.7	2	0.033333	1	0.166667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[99,99.2[ & 99.1 & 2 & 0.033333 & 0.033333 & 0.166667 \tabularnewline
[99.2,99.4[ & 99.3 & 1 & 0.016667 & 0.05 & 0.083333 \tabularnewline
[99.4,99.6[ & 99.5 & 0 & 0 & 0.05 & 0 \tabularnewline
[99.6,99.8[ & 99.7 & 4 & 0.066667 & 0.116667 & 0.333333 \tabularnewline
[99.8,100[ & 99.9 & 1 & 0.016667 & 0.133333 & 0.083333 \tabularnewline
[100,100.2[ & 100.1 & 0 & 0 & 0.133333 & 0 \tabularnewline
[100.2,100.4[ & 100.3 & 1 & 0.016667 & 0.15 & 0.083333 \tabularnewline
[100.4,100.6[ & 100.5 & 3 & 0.05 & 0.2 & 0.25 \tabularnewline
[100.6,100.8[ & 100.7 & 2 & 0.033333 & 0.233333 & 0.166667 \tabularnewline
[100.8,101[ & 100.9 & 4 & 0.066667 & 0.3 & 0.333333 \tabularnewline
[101,101.2[ & 101.1 & 3 & 0.05 & 0.35 & 0.25 \tabularnewline
[101.2,101.4[ & 101.3 & 4 & 0.066667 & 0.416667 & 0.333333 \tabularnewline
[101.4,101.6[ & 101.5 & 5 & 0.083333 & 0.5 & 0.416667 \tabularnewline
[101.6,101.8[ & 101.7 & 2 & 0.033333 & 0.533333 & 0.166667 \tabularnewline
[101.8,102[ & 101.9 & 3 & 0.05 & 0.583333 & 0.25 \tabularnewline
[102,102.2[ & 102.1 & 3 & 0.05 & 0.633333 & 0.25 \tabularnewline
[102.2,102.4[ & 102.3 & 2 & 0.033333 & 0.666667 & 0.166667 \tabularnewline
[102.4,102.6[ & 102.5 & 7 & 0.116667 & 0.783333 & 0.583333 \tabularnewline
[102.6,102.8[ & 102.7 & 2 & 0.033333 & 0.816667 & 0.166667 \tabularnewline
[102.8,103[ & 102.9 & 2 & 0.033333 & 0.85 & 0.166667 \tabularnewline
[103,103.2[ & 103.1 & 5 & 0.083333 & 0.933333 & 0.416667 \tabularnewline
[103.2,103.4[ & 103.3 & 1 & 0.016667 & 0.95 & 0.083333 \tabularnewline
[103.4,103.6[ & 103.5 & 1 & 0.016667 & 0.966667 & 0.083333 \tabularnewline
[103.6,103.8] & 103.7 & 2 & 0.033333 & 1 & 0.166667 \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][99,99.2[[/C][C]99.1[/C][C]2[/C][C]0.033333[/C][C]0.033333[/C][C]0.166667[/C][/ROW]
[ROW][C][99.2,99.4[[/C][C]99.3[/C][C]1[/C][C]0.016667[/C][C]0.05[/C][C]0.083333[/C][/ROW]
[ROW][C][99.4,99.6[[/C][C]99.5[/C][C]0[/C][C]0[/C][C]0.05[/C][C]0[/C][/ROW]
[ROW][C][99.6,99.8[[/C][C]99.7[/C][C]4[/C][C]0.066667[/C][C]0.116667[/C][C]0.333333[/C][/ROW]
[ROW][C][99.8,100[[/C][C]99.9[/C][C]1[/C][C]0.016667[/C][C]0.133333[/C][C]0.083333[/C][/ROW]
[ROW][C][100,100.2[[/C][C]100.1[/C][C]0[/C][C]0[/C][C]0.133333[/C][C]0[/C][/ROW]
[ROW][C][100.2,100.4[[/C][C]100.3[/C][C]1[/C][C]0.016667[/C][C]0.15[/C][C]0.083333[/C][/ROW]
[ROW][C][100.4,100.6[[/C][C]100.5[/C][C]3[/C][C]0.05[/C][C]0.2[/C][C]0.25[/C][/ROW]
[ROW][C][100.6,100.8[[/C][C]100.7[/C][C]2[/C][C]0.033333[/C][C]0.233333[/C][C]0.166667[/C][/ROW]
[ROW][C][100.8,101[[/C][C]100.9[/C][C]4[/C][C]0.066667[/C][C]0.3[/C][C]0.333333[/C][/ROW]
[ROW][C][101,101.2[[/C][C]101.1[/C][C]3[/C][C]0.05[/C][C]0.35[/C][C]0.25[/C][/ROW]
[ROW][C][101.2,101.4[[/C][C]101.3[/C][C]4[/C][C]0.066667[/C][C]0.416667[/C][C]0.333333[/C][/ROW]
[ROW][C][101.4,101.6[[/C][C]101.5[/C][C]5[/C][C]0.083333[/C][C]0.5[/C][C]0.416667[/C][/ROW]
[ROW][C][101.6,101.8[[/C][C]101.7[/C][C]2[/C][C]0.033333[/C][C]0.533333[/C][C]0.166667[/C][/ROW]
[ROW][C][101.8,102[[/C][C]101.9[/C][C]3[/C][C]0.05[/C][C]0.583333[/C][C]0.25[/C][/ROW]
[ROW][C][102,102.2[[/C][C]102.1[/C][C]3[/C][C]0.05[/C][C]0.633333[/C][C]0.25[/C][/ROW]
[ROW][C][102.2,102.4[[/C][C]102.3[/C][C]2[/C][C]0.033333[/C][C]0.666667[/C][C]0.166667[/C][/ROW]
[ROW][C][102.4,102.6[[/C][C]102.5[/C][C]7[/C][C]0.116667[/C][C]0.783333[/C][C]0.583333[/C][/ROW]
[ROW][C][102.6,102.8[[/C][C]102.7[/C][C]2[/C][C]0.033333[/C][C]0.816667[/C][C]0.166667[/C][/ROW]
[ROW][C][102.8,103[[/C][C]102.9[/C][C]2[/C][C]0.033333[/C][C]0.85[/C][C]0.166667[/C][/ROW]
[ROW][C][103,103.2[[/C][C]103.1[/C][C]5[/C][C]0.083333[/C][C]0.933333[/C][C]0.416667[/C][/ROW]
[ROW][C][103.2,103.4[[/C][C]103.3[/C][C]1[/C][C]0.016667[/C][C]0.95[/C][C]0.083333[/C][/ROW]
[ROW][C][103.4,103.6[[/C][C]103.5[/C][C]1[/C][C]0.016667[/C][C]0.966667[/C][C]0.083333[/C][/ROW]
[ROW][C][103.6,103.8][/C][C]103.7[/C][C]2[/C][C]0.033333[/C][C]1[/C][C]0.166667[/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
[99,99.2[	99.1	2	0.033333	0.033333	0.166667
[99.2,99.4[	99.3	1	0.016667	0.05	0.083333
[99.4,99.6[	99.5	0	0	0.05	0
[99.6,99.8[	99.7	4	0.066667	0.116667	0.333333
[99.8,100[	99.9	1	0.016667	0.133333	0.083333
[100,100.2[	100.1	0	0	0.133333	0
[100.2,100.4[	100.3	1	0.016667	0.15	0.083333
[100.4,100.6[	100.5	3	0.05	0.2	0.25
[100.6,100.8[	100.7	2	0.033333	0.233333	0.166667
[100.8,101[	100.9	4	0.066667	0.3	0.333333
[101,101.2[	101.1	3	0.05	0.35	0.25
[101.2,101.4[	101.3	4	0.066667	0.416667	0.333333
[101.4,101.6[	101.5	5	0.083333	0.5	0.416667
[101.6,101.8[	101.7	2	0.033333	0.533333	0.166667
[101.8,102[	101.9	3	0.05	0.583333	0.25
[102,102.2[	102.1	3	0.05	0.633333	0.25
[102.2,102.4[	102.3	2	0.033333	0.666667	0.166667
[102.4,102.6[	102.5	7	0.116667	0.783333	0.583333
[102.6,102.8[	102.7	2	0.033333	0.816667	0.166667
[102.8,103[	102.9	2	0.033333	0.85	0.166667
[103,103.2[	103.1	5	0.083333	0.933333	0.416667
[103.2,103.4[	103.3	1	0.016667	0.95	0.083333
[103.4,103.6[	103.5	1	0.016667	0.966667	0.083333
[103.6,103.8]	103.7	2	0.033333	1	0.166667

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 25 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 25 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

R code (references can be found in the software module):

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '2'
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