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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Thu, 29 Jul 2010 11:22:20 +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/29/t1280402541skbdgghgtgnld4e.htm/, Retrieved Sun, 28 Apr 2024 20:22:07 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78157, Retrieved Sun, 28 Apr 2024 20:22:07 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Van de Walle Mathias

Estimated Impact

157

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

-     [Univariate Data Series] [tijdreeks 1 - stap 2] [2010-07-17 10:32:38] [2b5a188751227050025c4bb07404e527]
- RMPD    [Histogram] [tijdreeks 2 - stap 2] [2010-07-29 11:22:20] [0d1085ed835696cdd537ad5fa07600ec] [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	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78157&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78157&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78157&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	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[40,60[	50	4	0.047619	0.047619	0.002381
[60,80[	70	3	0.035714	0.083333	0.001786
[80,100[	90	9	0.107143	0.190476	0.005357
[100,120[	110	9	0.107143	0.297619	0.005357
[120,140[	130	4	0.047619	0.345238	0.002381
[140,160[	150	10	0.119048	0.464286	0.005952
[160,180[	170	2	0.02381	0.488095	0.00119
[180,200[	190	6	0.071429	0.559524	0.003571
[200,220[	210	7	0.083333	0.642857	0.004167
[220,240[	230	27	0.321429	0.964286	0.016071
[240,260]	250	3	0.035714	1	0.001786

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[40,60[ & 50 & 4 & 0.047619 & 0.047619 & 0.002381 \tabularnewline
[60,80[ & 70 & 3 & 0.035714 & 0.083333 & 0.001786 \tabularnewline
[80,100[ & 90 & 9 & 0.107143 & 0.190476 & 0.005357 \tabularnewline
[100,120[ & 110 & 9 & 0.107143 & 0.297619 & 0.005357 \tabularnewline
[120,140[ & 130 & 4 & 0.047619 & 0.345238 & 0.002381 \tabularnewline
[140,160[ & 150 & 10 & 0.119048 & 0.464286 & 0.005952 \tabularnewline
[160,180[ & 170 & 2 & 0.02381 & 0.488095 & 0.00119 \tabularnewline
[180,200[ & 190 & 6 & 0.071429 & 0.559524 & 0.003571 \tabularnewline
[200,220[ & 210 & 7 & 0.083333 & 0.642857 & 0.004167 \tabularnewline
[220,240[ & 230 & 27 & 0.321429 & 0.964286 & 0.016071 \tabularnewline
[240,260] & 250 & 3 & 0.035714 & 1 & 0.001786 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78157&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][40,60[[/C][C]50[/C][C]4[/C][C]0.047619[/C][C]0.047619[/C][C]0.002381[/C][/ROW]
[ROW][C][60,80[[/C][C]70[/C][C]3[/C][C]0.035714[/C][C]0.083333[/C][C]0.001786[/C][/ROW]
[ROW][C][80,100[[/C][C]90[/C][C]9[/C][C]0.107143[/C][C]0.190476[/C][C]0.005357[/C][/ROW]
[ROW][C][100,120[[/C][C]110[/C][C]9[/C][C]0.107143[/C][C]0.297619[/C][C]0.005357[/C][/ROW]
[ROW][C][120,140[[/C][C]130[/C][C]4[/C][C]0.047619[/C][C]0.345238[/C][C]0.002381[/C][/ROW]
[ROW][C][140,160[[/C][C]150[/C][C]10[/C][C]0.119048[/C][C]0.464286[/C][C]0.005952[/C][/ROW]
[ROW][C][160,180[[/C][C]170[/C][C]2[/C][C]0.02381[/C][C]0.488095[/C][C]0.00119[/C][/ROW]
[ROW][C][180,200[[/C][C]190[/C][C]6[/C][C]0.071429[/C][C]0.559524[/C][C]0.003571[/C][/ROW]
[ROW][C][200,220[[/C][C]210[/C][C]7[/C][C]0.083333[/C][C]0.642857[/C][C]0.004167[/C][/ROW]
[ROW][C][220,240[[/C][C]230[/C][C]27[/C][C]0.321429[/C][C]0.964286[/C][C]0.016071[/C][/ROW]
[ROW][C][240,260][/C][C]250[/C][C]3[/C][C]0.035714[/C][C]1[/C][C]0.001786[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78157&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78157&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
[40,60[	50	4	0.047619	0.047619	0.002381
[60,80[	70	3	0.035714	0.083333	0.001786
[80,100[	90	9	0.107143	0.190476	0.005357
[100,120[	110	9	0.107143	0.297619	0.005357
[120,140[	130	4	0.047619	0.345238	0.002381
[140,160[	150	10	0.119048	0.464286	0.005952
[160,180[	170	2	0.02381	0.488095	0.00119
[180,200[	190	6	0.071429	0.559524	0.003571
[200,220[	210	7	0.083333	0.642857	0.004167
[220,240[	230	27	0.321429	0.964286	0.016071
[240,260]	250	3	0.035714	1	0.001786

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')

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Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code