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Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Mon, 23 Sep 2013 04:18:34 -0400

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Sep/23/t137992432582an8r3hw1lqvq9.htm/, Retrieved Sun, 28 Apr 2024 19:09:59 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=211690, Retrieved Sun, 28 Apr 2024 19:09:59 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

119

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

-     [Univariate Data Series] [] [2013-09-16 08:58:57] [cb602a7352dedaaa3045b552ae43b1e8]
- RMPD    [Histogram] [] [2013-09-23 08:18:34] [1177af5e7ddeef06deae586abecaeb9d] [Current]

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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	2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211690&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]2 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=211690&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211690&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	2 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	0.011905	0.011905	0.059524
[15.2,15.4[	15.3	3	0.035714	0.047619	0.178571
[15.4,15.6[	15.5	7	0.083333	0.130952	0.416667
[15.6,15.8[	15.7	2	0.02381	0.154762	0.119048
[15.8,16[	15.9	7	0.083333	0.238095	0.416667
[16,16.2[	16.1	6	0.071429	0.309524	0.357143
[16.2,16.4[	16.3	1	0.011905	0.321429	0.059524
[16.4,16.6[	16.5	4	0.047619	0.369048	0.238095
[16.6,16.8[	16.7	2	0.02381	0.392857	0.119048
[16.8,17[	16.9	4	0.047619	0.440476	0.238095
[17,17.2[	17.1	3	0.035714	0.47619	0.178571
[17.2,17.4[	17.3	3	0.035714	0.511905	0.178571
[17.4,17.6[	17.5	4	0.047619	0.559524	0.238095
[17.6,17.8[	17.7	8	0.095238	0.654762	0.47619
[17.8,18[	17.9	6	0.071429	0.72619	0.357143
[18,18.2[	18.1	3	0.035714	0.761905	0.178571
[18.2,18.4[	18.3	7	0.083333	0.845238	0.416667
[18.4,18.6[	18.5	5	0.059524	0.904762	0.297619
[18.6,18.8[	18.7	5	0.059524	0.964286	0.297619
[18.8,19]	18.9	3	0.035714	1	0.178571

\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 & 0.011905 & 0.011905 & 0.059524 \tabularnewline
[15.2,15.4[ & 15.3 & 3 & 0.035714 & 0.047619 & 0.178571 \tabularnewline
[15.4,15.6[ & 15.5 & 7 & 0.083333 & 0.130952 & 0.416667 \tabularnewline
[15.6,15.8[ & 15.7 & 2 & 0.02381 & 0.154762 & 0.119048 \tabularnewline
[15.8,16[ & 15.9 & 7 & 0.083333 & 0.238095 & 0.416667 \tabularnewline
[16,16.2[ & 16.1 & 6 & 0.071429 & 0.309524 & 0.357143 \tabularnewline
[16.2,16.4[ & 16.3 & 1 & 0.011905 & 0.321429 & 0.059524 \tabularnewline
[16.4,16.6[ & 16.5 & 4 & 0.047619 & 0.369048 & 0.238095 \tabularnewline
[16.6,16.8[ & 16.7 & 2 & 0.02381 & 0.392857 & 0.119048 \tabularnewline
[16.8,17[ & 16.9 & 4 & 0.047619 & 0.440476 & 0.238095 \tabularnewline
[17,17.2[ & 17.1 & 3 & 0.035714 & 0.47619 & 0.178571 \tabularnewline
[17.2,17.4[ & 17.3 & 3 & 0.035714 & 0.511905 & 0.178571 \tabularnewline
[17.4,17.6[ & 17.5 & 4 & 0.047619 & 0.559524 & 0.238095 \tabularnewline
[17.6,17.8[ & 17.7 & 8 & 0.095238 & 0.654762 & 0.47619 \tabularnewline
[17.8,18[ & 17.9 & 6 & 0.071429 & 0.72619 & 0.357143 \tabularnewline
[18,18.2[ & 18.1 & 3 & 0.035714 & 0.761905 & 0.178571 \tabularnewline
[18.2,18.4[ & 18.3 & 7 & 0.083333 & 0.845238 & 0.416667 \tabularnewline
[18.4,18.6[ & 18.5 & 5 & 0.059524 & 0.904762 & 0.297619 \tabularnewline
[18.6,18.8[ & 18.7 & 5 & 0.059524 & 0.964286 & 0.297619 \tabularnewline
[18.8,19] & 18.9 & 3 & 0.035714 & 1 & 0.178571 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211690&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]0.011905[/C][C]0.011905[/C][C]0.059524[/C][/ROW]
[ROW][C][15.2,15.4[[/C][C]15.3[/C][C]3[/C][C]0.035714[/C][C]0.047619[/C][C]0.178571[/C][/ROW]
[ROW][C][15.4,15.6[[/C][C]15.5[/C][C]7[/C][C]0.083333[/C][C]0.130952[/C][C]0.416667[/C][/ROW]
[ROW][C][15.6,15.8[[/C][C]15.7[/C][C]2[/C][C]0.02381[/C][C]0.154762[/C][C]0.119048[/C][/ROW]
[ROW][C][15.8,16[[/C][C]15.9[/C][C]7[/C][C]0.083333[/C][C]0.238095[/C][C]0.416667[/C][/ROW]
[ROW][C][16,16.2[[/C][C]16.1[/C][C]6[/C][C]0.071429[/C][C]0.309524[/C][C]0.357143[/C][/ROW]
[ROW][C][16.2,16.4[[/C][C]16.3[/C][C]1[/C][C]0.011905[/C][C]0.321429[/C][C]0.059524[/C][/ROW]
[ROW][C][16.4,16.6[[/C][C]16.5[/C][C]4[/C][C]0.047619[/C][C]0.369048[/C][C]0.238095[/C][/ROW]
[ROW][C][16.6,16.8[[/C][C]16.7[/C][C]2[/C][C]0.02381[/C][C]0.392857[/C][C]0.119048[/C][/ROW]
[ROW][C][16.8,17[[/C][C]16.9[/C][C]4[/C][C]0.047619[/C][C]0.440476[/C][C]0.238095[/C][/ROW]
[ROW][C][17,17.2[[/C][C]17.1[/C][C]3[/C][C]0.035714[/C][C]0.47619[/C][C]0.178571[/C][/ROW]
[ROW][C][17.2,17.4[[/C][C]17.3[/C][C]3[/C][C]0.035714[/C][C]0.511905[/C][C]0.178571[/C][/ROW]
[ROW][C][17.4,17.6[[/C][C]17.5[/C][C]4[/C][C]0.047619[/C][C]0.559524[/C][C]0.238095[/C][/ROW]
[ROW][C][17.6,17.8[[/C][C]17.7[/C][C]8[/C][C]0.095238[/C][C]0.654762[/C][C]0.47619[/C][/ROW]
[ROW][C][17.8,18[[/C][C]17.9[/C][C]6[/C][C]0.071429[/C][C]0.72619[/C][C]0.357143[/C][/ROW]
[ROW][C][18,18.2[[/C][C]18.1[/C][C]3[/C][C]0.035714[/C][C]0.761905[/C][C]0.178571[/C][/ROW]
[ROW][C][18.2,18.4[[/C][C]18.3[/C][C]7[/C][C]0.083333[/C][C]0.845238[/C][C]0.416667[/C][/ROW]
[ROW][C][18.4,18.6[[/C][C]18.5[/C][C]5[/C][C]0.059524[/C][C]0.904762[/C][C]0.297619[/C][/ROW]
[ROW][C][18.6,18.8[[/C][C]18.7[/C][C]5[/C][C]0.059524[/C][C]0.964286[/C][C]0.297619[/C][/ROW]
[ROW][C][18.8,19][/C][C]18.9[/C][C]3[/C][C]0.035714[/C][C]1[/C][C]0.178571[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211690&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211690&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	0.011905	0.011905	0.059524
[15.2,15.4[	15.3	3	0.035714	0.047619	0.178571
[15.4,15.6[	15.5	7	0.083333	0.130952	0.416667
[15.6,15.8[	15.7	2	0.02381	0.154762	0.119048
[15.8,16[	15.9	7	0.083333	0.238095	0.416667
[16,16.2[	16.1	6	0.071429	0.309524	0.357143
[16.2,16.4[	16.3	1	0.011905	0.321429	0.059524
[16.4,16.6[	16.5	4	0.047619	0.369048	0.238095
[16.6,16.8[	16.7	2	0.02381	0.392857	0.119048
[16.8,17[	16.9	4	0.047619	0.440476	0.238095
[17,17.2[	17.1	3	0.035714	0.47619	0.178571
[17.2,17.4[	17.3	3	0.035714	0.511905	0.178571
[17.4,17.6[	17.5	4	0.047619	0.559524	0.238095
[17.6,17.8[	17.7	8	0.095238	0.654762	0.47619
[17.8,18[	17.9	6	0.071429	0.72619	0.357143
[18,18.2[	18.1	3	0.035714	0.761905	0.178571
[18.2,18.4[	18.3	7	0.083333	0.845238	0.416667
[18.4,18.6[	18.5	5	0.059524	0.904762	0.297619
[18.6,18.8[	18.7	5	0.059524	0.964286	0.297619
[18.8,19]	18.9	3	0.035714	1	0.178571

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 14 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 14 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

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

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