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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Sat, 03 Oct 2009 12:22:58 -0600

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/Oct/03/t1254594258oe5wrv7g5rwtf9a.htm/, Retrieved Sat, 04 May 2024 19:43:20 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=43580, Retrieved Sat, 04 May 2024 19:43:20 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

KDGP1W22

Estimated Impact

120

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

-       [Histogram] [] [2009-10-03 18:22:58] [d3c74fcd05a317afdc84de11f936034f] [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=43580&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=43580&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=43580&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
[8.4,8.6[	8.5	4	0.041667	0.041667	0.208333
[8.6,8.8[	8.7	9	0.09375	0.135417	0.46875
[8.8,9[	8.9	18	0.1875	0.322917	0.9375
[9,9.2[	9.1	28	0.291667	0.614583	1.458333
[9.2,9.4[	9.3	17	0.177083	0.791667	0.885417
[9.4,9.6[	9.5	10	0.104167	0.895833	0.520833
[9.6,9.8[	9.7	4	0.041667	0.9375	0.208333
[9.8,10]	9.9	6	0.0625	1	0.3125

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[8.4,8.6[ & 8.5 & 4 & 0.041667 & 0.041667 & 0.208333 \tabularnewline
[8.6,8.8[ & 8.7 & 9 & 0.09375 & 0.135417 & 0.46875 \tabularnewline
[8.8,9[ & 8.9 & 18 & 0.1875 & 0.322917 & 0.9375 \tabularnewline
[9,9.2[ & 9.1 & 28 & 0.291667 & 0.614583 & 1.458333 \tabularnewline
[9.2,9.4[ & 9.3 & 17 & 0.177083 & 0.791667 & 0.885417 \tabularnewline
[9.4,9.6[ & 9.5 & 10 & 0.104167 & 0.895833 & 0.520833 \tabularnewline
[9.6,9.8[ & 9.7 & 4 & 0.041667 & 0.9375 & 0.208333 \tabularnewline
[9.8,10] & 9.9 & 6 & 0.0625 & 1 & 0.3125 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=43580&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][8.4,8.6[[/C][C]8.5[/C][C]4[/C][C]0.041667[/C][C]0.041667[/C][C]0.208333[/C][/ROW]
[ROW][C][8.6,8.8[[/C][C]8.7[/C][C]9[/C][C]0.09375[/C][C]0.135417[/C][C]0.46875[/C][/ROW]
[ROW][C][8.8,9[[/C][C]8.9[/C][C]18[/C][C]0.1875[/C][C]0.322917[/C][C]0.9375[/C][/ROW]
[ROW][C][9,9.2[[/C][C]9.1[/C][C]28[/C][C]0.291667[/C][C]0.614583[/C][C]1.458333[/C][/ROW]
[ROW][C][9.2,9.4[[/C][C]9.3[/C][C]17[/C][C]0.177083[/C][C]0.791667[/C][C]0.885417[/C][/ROW]
[ROW][C][9.4,9.6[[/C][C]9.5[/C][C]10[/C][C]0.104167[/C][C]0.895833[/C][C]0.520833[/C][/ROW]
[ROW][C][9.6,9.8[[/C][C]9.7[/C][C]4[/C][C]0.041667[/C][C]0.9375[/C][C]0.208333[/C][/ROW]
[ROW][C][9.8,10][/C][C]9.9[/C][C]6[/C][C]0.0625[/C][C]1[/C][C]0.3125[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=43580&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=43580&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
[8.4,8.6[	8.5	4	0.041667	0.041667	0.208333
[8.6,8.8[	8.7	9	0.09375	0.135417	0.46875
[8.8,9[	8.9	18	0.1875	0.322917	0.9375
[9,9.2[	9.1	28	0.291667	0.614583	1.458333
[9.2,9.4[	9.3	17	0.177083	0.791667	0.885417
[9.4,9.6[	9.5	10	0.104167	0.895833	0.520833
[9.6,9.8[	9.7	4	0.041667	0.9375	0.208333
[9.8,10]	9.9	6	0.0625	1	0.3125

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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Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code