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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 13:22:26 -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/t1234211038cpov5mkf7j9r9zw.htm/, Retrieved Fri, 10 May 2024 13:20:15 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=37176, Retrieved Fri, 10 May 2024 13:20:15 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

167

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

-     [Histogram] [] [2008-12-10 14:22:20] [9dcccb85412538730294c0c7dc7e2efb]
-         [Histogram] [MaximeJonckheere ...] [2009-02-09 20:22:26] [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=37176&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=37176&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37176&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
[65.5,66[	65.75	7	0.082353	0.082353	0.164706
[66,66.5[	66.25	19	0.223529	0.305882	0.447059
[66.5,67[	66.75	2	0.023529	0.329412	0.047059
[67,67.5[	67.25	6	0.070588	0.4	0.141176
[67.5,68[	67.75	7	0.082353	0.482353	0.164706
[68,68.5[	68.25	17	0.2	0.682353	0.4
[68.5,69[	68.75	22	0.258824	0.941176	0.517647
[69,69.5]	69.25	5	0.058824	1	0.117647

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[65.5,66[ & 65.75 & 7 & 0.082353 & 0.082353 & 0.164706 \tabularnewline
[66,66.5[ & 66.25 & 19 & 0.223529 & 0.305882 & 0.447059 \tabularnewline
[66.5,67[ & 66.75 & 2 & 0.023529 & 0.329412 & 0.047059 \tabularnewline
[67,67.5[ & 67.25 & 6 & 0.070588 & 0.4 & 0.141176 \tabularnewline
[67.5,68[ & 67.75 & 7 & 0.082353 & 0.482353 & 0.164706 \tabularnewline
[68,68.5[ & 68.25 & 17 & 0.2 & 0.682353 & 0.4 \tabularnewline
[68.5,69[ & 68.75 & 22 & 0.258824 & 0.941176 & 0.517647 \tabularnewline
[69,69.5] & 69.25 & 5 & 0.058824 & 1 & 0.117647 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37176&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][65.5,66[[/C][C]65.75[/C][C]7[/C][C]0.082353[/C][C]0.082353[/C][C]0.164706[/C][/ROW]
[ROW][C][66,66.5[[/C][C]66.25[/C][C]19[/C][C]0.223529[/C][C]0.305882[/C][C]0.447059[/C][/ROW]
[ROW][C][66.5,67[[/C][C]66.75[/C][C]2[/C][C]0.023529[/C][C]0.329412[/C][C]0.047059[/C][/ROW]
[ROW][C][67,67.5[[/C][C]67.25[/C][C]6[/C][C]0.070588[/C][C]0.4[/C][C]0.141176[/C][/ROW]
[ROW][C][67.5,68[[/C][C]67.75[/C][C]7[/C][C]0.082353[/C][C]0.482353[/C][C]0.164706[/C][/ROW]
[ROW][C][68,68.5[[/C][C]68.25[/C][C]17[/C][C]0.2[/C][C]0.682353[/C][C]0.4[/C][/ROW]
[ROW][C][68.5,69[[/C][C]68.75[/C][C]22[/C][C]0.258824[/C][C]0.941176[/C][C]0.517647[/C][/ROW]
[ROW][C][69,69.5][/C][C]69.25[/C][C]5[/C][C]0.058824[/C][C]1[/C][C]0.117647[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37176&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37176&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
[65.5,66[	65.75	7	0.082353	0.082353	0.164706
[66,66.5[	66.25	19	0.223529	0.305882	0.447059
[66.5,67[	66.75	2	0.023529	0.329412	0.047059
[67,67.5[	67.25	6	0.070588	0.4	0.141176
[67.5,68[	67.75	7	0.082353	0.482353	0.164706
[68,68.5[	68.25	17	0.2	0.682353	0.4
[68.5,69[	68.75	22	0.258824	0.941176	0.517647
[69,69.5]	69.25	5	0.058824	1	0.117647

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