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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Tue, 19 Feb 2008 13:38:44 -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/2008/Feb/19/t1203453575769j053ik4uyotn.htm/, Retrieved Thu, 09 May 2024 20:47:09 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=8382, Retrieved Thu, 09 May 2024 20:47:09 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

253

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

-       [Histogram] [prijsevolutie van...] [2008-02-19 20:38:44] [1d39d6023b30765076d7dd71658b197c] [Current]

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Histogram

Boxplots

Summary of compuational 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 compuational 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=8382&T=0

[TABLE]
[ROW][C]Summary of compuational 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=8382&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8382&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 compuational 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
[1.91,1.92[	1.915	3	0.041667	0.041667	4.166667
[1.92,1.93[	1.925	6	0.083333	0.125	8.333333
[1.93,1.94[	1.935	6	0.083333	0.208333	8.333333
[1.94,1.95[	1.945	3	0.041667	0.25	4.166667
[1.95,1.96[	1.955	2	0.027778	0.277778	2.777778
[1.96,1.97[	1.965	2	0.027778	0.305556	2.777778
[1.97,1.98[	1.975	1	0.013889	0.319444	1.388889
[1.98,1.99[	1.985	15	0.208333	0.527778	20.833333
[1.99,2[	1.995	14	0.194444	0.722222	19.444444
[2,2.01[	2.005	8	0.111111	0.833333	11.111111
[2.01,2.02]	2.015	12	0.166667	1	16.666663

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1.91,1.92[ & 1.915 & 3 & 0.041667 & 0.041667 & 4.166667 \tabularnewline
[1.92,1.93[ & 1.925 & 6 & 0.083333 & 0.125 & 8.333333 \tabularnewline
[1.93,1.94[ & 1.935 & 6 & 0.083333 & 0.208333 & 8.333333 \tabularnewline
[1.94,1.95[ & 1.945 & 3 & 0.041667 & 0.25 & 4.166667 \tabularnewline
[1.95,1.96[ & 1.955 & 2 & 0.027778 & 0.277778 & 2.777778 \tabularnewline
[1.96,1.97[ & 1.965 & 2 & 0.027778 & 0.305556 & 2.777778 \tabularnewline
[1.97,1.98[ & 1.975 & 1 & 0.013889 & 0.319444 & 1.388889 \tabularnewline
[1.98,1.99[ & 1.985 & 15 & 0.208333 & 0.527778 & 20.833333 \tabularnewline
[1.99,2[ & 1.995 & 14 & 0.194444 & 0.722222 & 19.444444 \tabularnewline
[2,2.01[ & 2.005 & 8 & 0.111111 & 0.833333 & 11.111111 \tabularnewline
[2.01,2.02] & 2.015 & 12 & 0.166667 & 1 & 16.666663 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8382&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][1.91,1.92[[/C][C]1.915[/C][C]3[/C][C]0.041667[/C][C]0.041667[/C][C]4.166667[/C][/ROW]
[ROW][C][1.92,1.93[[/C][C]1.925[/C][C]6[/C][C]0.083333[/C][C]0.125[/C][C]8.333333[/C][/ROW]
[ROW][C][1.93,1.94[[/C][C]1.935[/C][C]6[/C][C]0.083333[/C][C]0.208333[/C][C]8.333333[/C][/ROW]
[ROW][C][1.94,1.95[[/C][C]1.945[/C][C]3[/C][C]0.041667[/C][C]0.25[/C][C]4.166667[/C][/ROW]
[ROW][C][1.95,1.96[[/C][C]1.955[/C][C]2[/C][C]0.027778[/C][C]0.277778[/C][C]2.777778[/C][/ROW]
[ROW][C][1.96,1.97[[/C][C]1.965[/C][C]2[/C][C]0.027778[/C][C]0.305556[/C][C]2.777778[/C][/ROW]
[ROW][C][1.97,1.98[[/C][C]1.975[/C][C]1[/C][C]0.013889[/C][C]0.319444[/C][C]1.388889[/C][/ROW]
[ROW][C][1.98,1.99[[/C][C]1.985[/C][C]15[/C][C]0.208333[/C][C]0.527778[/C][C]20.833333[/C][/ROW]
[ROW][C][1.99,2[[/C][C]1.995[/C][C]14[/C][C]0.194444[/C][C]0.722222[/C][C]19.444444[/C][/ROW]
[ROW][C][2,2.01[[/C][C]2.005[/C][C]8[/C][C]0.111111[/C][C]0.833333[/C][C]11.111111[/C][/ROW]
[ROW][C][2.01,2.02][/C][C]2.015[/C][C]12[/C][C]0.166667[/C][C]1[/C][C]16.666663[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=8382&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8382&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
[1.91,1.92[	1.915	3	0.041667	0.041667	4.166667
[1.92,1.93[	1.925	6	0.083333	0.125	8.333333
[1.93,1.94[	1.935	6	0.083333	0.208333	8.333333
[1.94,1.95[	1.945	3	0.041667	0.25	4.166667
[1.95,1.96[	1.955	2	0.027778	0.277778	2.777778
[1.96,1.97[	1.965	2	0.027778	0.305556	2.777778
[1.97,1.98[	1.975	1	0.013889	0.319444	1.388889
[1.98,1.99[	1.985	15	0.208333	0.527778	20.833333
[1.99,2[	1.995	14	0.194444	0.722222	19.444444
[2,2.01[	2.005	8	0.111111	0.833333	11.111111
[2.01,2.02]	2.015	12	0.166667	1	16.666663

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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Figures (Output of Computation)

Input Parameters & R Code