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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Wed, 28 Jul 2010 18:51:30 +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/2010/Jul/28/t1280343076kgvs62zv07hy12x.htm/, Retrieved Mon, 29 Apr 2024 09:20:09 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78151, Retrieved Mon, 29 Apr 2024 09:20:09 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Patrick Fieremans

Estimated Impact

215

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

-       [Histogram] [Tijdreeks 2 - Stap 2] [2010-07-28 18:51:30] [bffa0fb6afa860209dcefcd4361c2008] [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	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78151&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78151&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78151&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	'Gwilym Jenkins' @ 72.249.127.135

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[60,80[	70	4	0.047619	0.047619	0.002381
[80,100[	90	14	0.166667	0.214286	0.008333
[100,120[	110	9	0.107143	0.321429	0.005357
[120,140[	130	6	0.071429	0.392857	0.003571
[140,160[	150	4	0.047619	0.440476	0.002381
[160,180[	170	3	0.035714	0.47619	0.001786
[180,200[	190	4	0.047619	0.52381	0.002381
[200,220[	210	1	0.011905	0.535714	0.000595
[220,240[	230	9	0.107143	0.642857	0.005357
[240,260[	250	25	0.297619	0.940476	0.014881
[260,280]	270	5	0.059524	1	0.002976

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[60,80[ & 70 & 4 & 0.047619 & 0.047619 & 0.002381 \tabularnewline
[80,100[ & 90 & 14 & 0.166667 & 0.214286 & 0.008333 \tabularnewline
[100,120[ & 110 & 9 & 0.107143 & 0.321429 & 0.005357 \tabularnewline
[120,140[ & 130 & 6 & 0.071429 & 0.392857 & 0.003571 \tabularnewline
[140,160[ & 150 & 4 & 0.047619 & 0.440476 & 0.002381 \tabularnewline
[160,180[ & 170 & 3 & 0.035714 & 0.47619 & 0.001786 \tabularnewline
[180,200[ & 190 & 4 & 0.047619 & 0.52381 & 0.002381 \tabularnewline
[200,220[ & 210 & 1 & 0.011905 & 0.535714 & 0.000595 \tabularnewline
[220,240[ & 230 & 9 & 0.107143 & 0.642857 & 0.005357 \tabularnewline
[240,260[ & 250 & 25 & 0.297619 & 0.940476 & 0.014881 \tabularnewline
[260,280] & 270 & 5 & 0.059524 & 1 & 0.002976 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78151&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][60,80[[/C][C]70[/C][C]4[/C][C]0.047619[/C][C]0.047619[/C][C]0.002381[/C][/ROW]
[ROW][C][80,100[[/C][C]90[/C][C]14[/C][C]0.166667[/C][C]0.214286[/C][C]0.008333[/C][/ROW]
[ROW][C][100,120[[/C][C]110[/C][C]9[/C][C]0.107143[/C][C]0.321429[/C][C]0.005357[/C][/ROW]
[ROW][C][120,140[[/C][C]130[/C][C]6[/C][C]0.071429[/C][C]0.392857[/C][C]0.003571[/C][/ROW]
[ROW][C][140,160[[/C][C]150[/C][C]4[/C][C]0.047619[/C][C]0.440476[/C][C]0.002381[/C][/ROW]
[ROW][C][160,180[[/C][C]170[/C][C]3[/C][C]0.035714[/C][C]0.47619[/C][C]0.001786[/C][/ROW]
[ROW][C][180,200[[/C][C]190[/C][C]4[/C][C]0.047619[/C][C]0.52381[/C][C]0.002381[/C][/ROW]
[ROW][C][200,220[[/C][C]210[/C][C]1[/C][C]0.011905[/C][C]0.535714[/C][C]0.000595[/C][/ROW]
[ROW][C][220,240[[/C][C]230[/C][C]9[/C][C]0.107143[/C][C]0.642857[/C][C]0.005357[/C][/ROW]
[ROW][C][240,260[[/C][C]250[/C][C]25[/C][C]0.297619[/C][C]0.940476[/C][C]0.014881[/C][/ROW]
[ROW][C][260,280][/C][C]270[/C][C]5[/C][C]0.059524[/C][C]1[/C][C]0.002976[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78151&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78151&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
[60,80[	70	4	0.047619	0.047619	0.002381
[80,100[	90	14	0.166667	0.214286	0.008333
[100,120[	110	9	0.107143	0.321429	0.005357
[120,140[	130	6	0.071429	0.392857	0.003571
[140,160[	150	4	0.047619	0.440476	0.002381
[160,180[	170	3	0.035714	0.47619	0.001786
[180,200[	190	4	0.047619	0.52381	0.002381
[200,220[	210	1	0.011905	0.535714	0.000595
[220,240[	230	9	0.107143	0.642857	0.005357
[240,260[	250	25	0.297619	0.940476	0.014881
[260,280]	270	5	0.059524	1	0.002976

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

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

Parameters (R input):

par1 = ; 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.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)
}
dev.off()
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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code