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Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Wed, 08 Jan 2014 18:24:42 -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/2014/Jan/08/t1389223515jt8vewzsyknz45z.htm/, Retrieved Sun, 19 May 2024 12:18:48 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232823, Retrieved Sun, 19 May 2024 12:18:48 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

191

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

-       [Histogram] [] [2014-01-08 23:24:42] [2358c8bdbef440d7990b31f18da12314] [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	'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message	Warning: there are blank lines in the 'Data' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

\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
R Framework error message & Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232823&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]
[ROW][C]R Framework error message[/C][C]Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232823&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232823&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
R Framework error message	Warning: there are blank lines in the 'Data' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[18.2,18.4[	18.3	3	0.035714	0.035714	0.178571
[18.4,18.6[	18.5	5	0.059524	0.095238	0.297619
[18.6,18.8[	18.7	3	0.035714	0.130952	0.178571
[18.8,19[	18.9	6	0.071429	0.202381	0.357143
[19,19.2[	19.1	5	0.059524	0.261905	0.297619
[19.2,19.4[	19.3	7	0.083333	0.345238	0.416667
[19.4,19.6[	19.5	8	0.095238	0.440476	0.47619
[19.6,19.8[	19.7	2	0.02381	0.464286	0.119048
[19.8,20[	19.9	4	0.047619	0.511905	0.238095
[20,20.2[	20.1	7	0.083333	0.595238	0.416667
[20.2,20.4[	20.3	5	0.059524	0.654762	0.297619
[20.4,20.6[	20.5	3	0.035714	0.690476	0.178571
[20.6,20.8[	20.7	4	0.047619	0.738095	0.238095
[20.8,21[	20.9	4	0.047619	0.785714	0.238095
[21,21.2[	21.1	3	0.035714	0.821429	0.178571
[21.2,21.4[	21.3	1	0.011905	0.833333	0.059524
[21.4,21.6[	21.5	2	0.02381	0.857143	0.119048
[21.6,21.8[	21.7	1	0.011905	0.869048	0.059524
[21.8,22[	21.9	2	0.02381	0.892857	0.119048
[22,22.2[	22.1	1	0.011905	0.904762	0.059524
[22.2,22.4[	22.3	1	0.011905	0.916667	0.059524
[22.4,22.6[	22.5	1	0.011905	0.928571	0.059524
[22.6,22.8[	22.7	2	0.02381	0.952381	0.119048
[22.8,23]	22.9	4	0.047619	1	0.238095

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[18.2,18.4[ & 18.3 & 3 & 0.035714 & 0.035714 & 0.178571 \tabularnewline
[18.4,18.6[ & 18.5 & 5 & 0.059524 & 0.095238 & 0.297619 \tabularnewline
[18.6,18.8[ & 18.7 & 3 & 0.035714 & 0.130952 & 0.178571 \tabularnewline
[18.8,19[ & 18.9 & 6 & 0.071429 & 0.202381 & 0.357143 \tabularnewline
[19,19.2[ & 19.1 & 5 & 0.059524 & 0.261905 & 0.297619 \tabularnewline
[19.2,19.4[ & 19.3 & 7 & 0.083333 & 0.345238 & 0.416667 \tabularnewline
[19.4,19.6[ & 19.5 & 8 & 0.095238 & 0.440476 & 0.47619 \tabularnewline
[19.6,19.8[ & 19.7 & 2 & 0.02381 & 0.464286 & 0.119048 \tabularnewline
[19.8,20[ & 19.9 & 4 & 0.047619 & 0.511905 & 0.238095 \tabularnewline
[20,20.2[ & 20.1 & 7 & 0.083333 & 0.595238 & 0.416667 \tabularnewline
[20.2,20.4[ & 20.3 & 5 & 0.059524 & 0.654762 & 0.297619 \tabularnewline
[20.4,20.6[ & 20.5 & 3 & 0.035714 & 0.690476 & 0.178571 \tabularnewline
[20.6,20.8[ & 20.7 & 4 & 0.047619 & 0.738095 & 0.238095 \tabularnewline
[20.8,21[ & 20.9 & 4 & 0.047619 & 0.785714 & 0.238095 \tabularnewline
[21,21.2[ & 21.1 & 3 & 0.035714 & 0.821429 & 0.178571 \tabularnewline
[21.2,21.4[ & 21.3 & 1 & 0.011905 & 0.833333 & 0.059524 \tabularnewline
[21.4,21.6[ & 21.5 & 2 & 0.02381 & 0.857143 & 0.119048 \tabularnewline
[21.6,21.8[ & 21.7 & 1 & 0.011905 & 0.869048 & 0.059524 \tabularnewline
[21.8,22[ & 21.9 & 2 & 0.02381 & 0.892857 & 0.119048 \tabularnewline
[22,22.2[ & 22.1 & 1 & 0.011905 & 0.904762 & 0.059524 \tabularnewline
[22.2,22.4[ & 22.3 & 1 & 0.011905 & 0.916667 & 0.059524 \tabularnewline
[22.4,22.6[ & 22.5 & 1 & 0.011905 & 0.928571 & 0.059524 \tabularnewline
[22.6,22.8[ & 22.7 & 2 & 0.02381 & 0.952381 & 0.119048 \tabularnewline
[22.8,23] & 22.9 & 4 & 0.047619 & 1 & 0.238095 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232823&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][18.2,18.4[[/C][C]18.3[/C][C]3[/C][C]0.035714[/C][C]0.035714[/C][C]0.178571[/C][/ROW]
[ROW][C][18.4,18.6[[/C][C]18.5[/C][C]5[/C][C]0.059524[/C][C]0.095238[/C][C]0.297619[/C][/ROW]
[ROW][C][18.6,18.8[[/C][C]18.7[/C][C]3[/C][C]0.035714[/C][C]0.130952[/C][C]0.178571[/C][/ROW]
[ROW][C][18.8,19[[/C][C]18.9[/C][C]6[/C][C]0.071429[/C][C]0.202381[/C][C]0.357143[/C][/ROW]
[ROW][C][19,19.2[[/C][C]19.1[/C][C]5[/C][C]0.059524[/C][C]0.261905[/C][C]0.297619[/C][/ROW]
[ROW][C][19.2,19.4[[/C][C]19.3[/C][C]7[/C][C]0.083333[/C][C]0.345238[/C][C]0.416667[/C][/ROW]
[ROW][C][19.4,19.6[[/C][C]19.5[/C][C]8[/C][C]0.095238[/C][C]0.440476[/C][C]0.47619[/C][/ROW]
[ROW][C][19.6,19.8[[/C][C]19.7[/C][C]2[/C][C]0.02381[/C][C]0.464286[/C][C]0.119048[/C][/ROW]
[ROW][C][19.8,20[[/C][C]19.9[/C][C]4[/C][C]0.047619[/C][C]0.511905[/C][C]0.238095[/C][/ROW]
[ROW][C][20,20.2[[/C][C]20.1[/C][C]7[/C][C]0.083333[/C][C]0.595238[/C][C]0.416667[/C][/ROW]
[ROW][C][20.2,20.4[[/C][C]20.3[/C][C]5[/C][C]0.059524[/C][C]0.654762[/C][C]0.297619[/C][/ROW]
[ROW][C][20.4,20.6[[/C][C]20.5[/C][C]3[/C][C]0.035714[/C][C]0.690476[/C][C]0.178571[/C][/ROW]
[ROW][C][20.6,20.8[[/C][C]20.7[/C][C]4[/C][C]0.047619[/C][C]0.738095[/C][C]0.238095[/C][/ROW]
[ROW][C][20.8,21[[/C][C]20.9[/C][C]4[/C][C]0.047619[/C][C]0.785714[/C][C]0.238095[/C][/ROW]
[ROW][C][21,21.2[[/C][C]21.1[/C][C]3[/C][C]0.035714[/C][C]0.821429[/C][C]0.178571[/C][/ROW]
[ROW][C][21.2,21.4[[/C][C]21.3[/C][C]1[/C][C]0.011905[/C][C]0.833333[/C][C]0.059524[/C][/ROW]
[ROW][C][21.4,21.6[[/C][C]21.5[/C][C]2[/C][C]0.02381[/C][C]0.857143[/C][C]0.119048[/C][/ROW]
[ROW][C][21.6,21.8[[/C][C]21.7[/C][C]1[/C][C]0.011905[/C][C]0.869048[/C][C]0.059524[/C][/ROW]
[ROW][C][21.8,22[[/C][C]21.9[/C][C]2[/C][C]0.02381[/C][C]0.892857[/C][C]0.119048[/C][/ROW]
[ROW][C][22,22.2[[/C][C]22.1[/C][C]1[/C][C]0.011905[/C][C]0.904762[/C][C]0.059524[/C][/ROW]
[ROW][C][22.2,22.4[[/C][C]22.3[/C][C]1[/C][C]0.011905[/C][C]0.916667[/C][C]0.059524[/C][/ROW]
[ROW][C][22.4,22.6[[/C][C]22.5[/C][C]1[/C][C]0.011905[/C][C]0.928571[/C][C]0.059524[/C][/ROW]
[ROW][C][22.6,22.8[[/C][C]22.7[/C][C]2[/C][C]0.02381[/C][C]0.952381[/C][C]0.119048[/C][/ROW]
[ROW][C][22.8,23][/C][C]22.9[/C][C]4[/C][C]0.047619[/C][C]1[/C][C]0.238095[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232823&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232823&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
[18.2,18.4[	18.3	3	0.035714	0.035714	0.178571
[18.4,18.6[	18.5	5	0.059524	0.095238	0.297619
[18.6,18.8[	18.7	3	0.035714	0.130952	0.178571
[18.8,19[	18.9	6	0.071429	0.202381	0.357143
[19,19.2[	19.1	5	0.059524	0.261905	0.297619
[19.2,19.4[	19.3	7	0.083333	0.345238	0.416667
[19.4,19.6[	19.5	8	0.095238	0.440476	0.47619
[19.6,19.8[	19.7	2	0.02381	0.464286	0.119048
[19.8,20[	19.9	4	0.047619	0.511905	0.238095
[20,20.2[	20.1	7	0.083333	0.595238	0.416667
[20.2,20.4[	20.3	5	0.059524	0.654762	0.297619
[20.4,20.6[	20.5	3	0.035714	0.690476	0.178571
[20.6,20.8[	20.7	4	0.047619	0.738095	0.238095
[20.8,21[	20.9	4	0.047619	0.785714	0.238095
[21,21.2[	21.1	3	0.035714	0.821429	0.178571
[21.2,21.4[	21.3	1	0.011905	0.833333	0.059524
[21.4,21.6[	21.5	2	0.02381	0.857143	0.119048
[21.6,21.8[	21.7	1	0.011905	0.869048	0.059524
[21.8,22[	21.9	2	0.02381	0.892857	0.119048
[22,22.2[	22.1	1	0.011905	0.904762	0.059524
[22.2,22.4[	22.3	1	0.011905	0.916667	0.059524
[22.4,22.6[	22.5	1	0.011905	0.928571	0.059524
[22.6,22.8[	22.7	2	0.02381	0.952381	0.119048
[22.8,23]	22.9	4	0.047619	1	0.238095

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 20 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 20 ; 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