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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Mon, 09 Feb 2009 14:07:45 -0700

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/2009/Feb/09/t12342137608dd3xxqscwpau12.htm/, Retrieved Fri, 10 May 2024 08:59:34 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=37184, Retrieved Fri, 10 May 2024 08:59:34 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

181

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

-       [Histogram] [frequentietabel] [2009-02-09 21:07:45] [d41d8cd98f00b204e9800998ecf8427e] [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	'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=37184&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=37184&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37184&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
[250,300[	275	3	0.041667	0.041667	0.000833
[300,350[	325	8	0.111111	0.152778	0.002222
[350,400[	375	15	0.208333	0.361111	0.004167
[400,450[	425	21	0.291667	0.652778	0.005833
[450,500[	475	10	0.138889	0.791667	0.002778
[500,550[	525	10	0.138889	0.930556	0.002778
[550,600[	575	1	0.013889	0.944444	0.000278
[600,650[	625	2	0.027778	0.972222	0.000556
[650,700[	675	1	0.013889	0.986111	0.000278
[700,750]	725	1	0.013889	1	0.000278

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[250,300[ & 275 & 3 & 0.041667 & 0.041667 & 0.000833 \tabularnewline
[300,350[ & 325 & 8 & 0.111111 & 0.152778 & 0.002222 \tabularnewline
[350,400[ & 375 & 15 & 0.208333 & 0.361111 & 0.004167 \tabularnewline
[400,450[ & 425 & 21 & 0.291667 & 0.652778 & 0.005833 \tabularnewline
[450,500[ & 475 & 10 & 0.138889 & 0.791667 & 0.002778 \tabularnewline
[500,550[ & 525 & 10 & 0.138889 & 0.930556 & 0.002778 \tabularnewline
[550,600[ & 575 & 1 & 0.013889 & 0.944444 & 0.000278 \tabularnewline
[600,650[ & 625 & 2 & 0.027778 & 0.972222 & 0.000556 \tabularnewline
[650,700[ & 675 & 1 & 0.013889 & 0.986111 & 0.000278 \tabularnewline
[700,750] & 725 & 1 & 0.013889 & 1 & 0.000278 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37184&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][250,300[[/C][C]275[/C][C]3[/C][C]0.041667[/C][C]0.041667[/C][C]0.000833[/C][/ROW]
[ROW][C][300,350[[/C][C]325[/C][C]8[/C][C]0.111111[/C][C]0.152778[/C][C]0.002222[/C][/ROW]
[ROW][C][350,400[[/C][C]375[/C][C]15[/C][C]0.208333[/C][C]0.361111[/C][C]0.004167[/C][/ROW]
[ROW][C][400,450[[/C][C]425[/C][C]21[/C][C]0.291667[/C][C]0.652778[/C][C]0.005833[/C][/ROW]
[ROW][C][450,500[[/C][C]475[/C][C]10[/C][C]0.138889[/C][C]0.791667[/C][C]0.002778[/C][/ROW]
[ROW][C][500,550[[/C][C]525[/C][C]10[/C][C]0.138889[/C][C]0.930556[/C][C]0.002778[/C][/ROW]
[ROW][C][550,600[[/C][C]575[/C][C]1[/C][C]0.013889[/C][C]0.944444[/C][C]0.000278[/C][/ROW]
[ROW][C][600,650[[/C][C]625[/C][C]2[/C][C]0.027778[/C][C]0.972222[/C][C]0.000556[/C][/ROW]
[ROW][C][650,700[[/C][C]675[/C][C]1[/C][C]0.013889[/C][C]0.986111[/C][C]0.000278[/C][/ROW]
[ROW][C][700,750][/C][C]725[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]0.000278[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37184&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37184&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
[250,300[	275	3	0.041667	0.041667	0.000833
[300,350[	325	8	0.111111	0.152778	0.002222
[350,400[	375	15	0.208333	0.361111	0.004167
[400,450[	425	21	0.291667	0.652778	0.005833
[450,500[	475	10	0.138889	0.791667	0.002778
[500,550[	525	10	0.138889	0.930556	0.002778
[550,600[	575	1	0.013889	0.944444	0.000278
[600,650[	625	2	0.027778	0.972222	0.000556
[650,700[	675	1	0.013889	0.986111	0.000278
[700,750]	725	1	0.013889	1	0.000278

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