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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Tue, 27 Oct 2009 18:04:15 -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/28/t1256688299odkdzdkblci38gk.htm/, Retrieved Mon, 06 May 2024 00:32:46 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=51316, Retrieved Mon, 06 May 2024 00:32:46 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Histogram

Estimated Impact

127

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

-       [Histogram] [WS 3 Yt=C+Et assu...] [2009-10-28 00:04:15] [a54ad7d84632b3d861404e40e79a6400] [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	'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51316&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51316&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51316&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	'RServer@AstonUniversity' @ vre.aston.ac.uk

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[100,102[	101	2	0.035088	0.035088	0.017544
[102,104[	103	1	0.017544	0.052632	0.008772
[104,106[	105	5	0.087719	0.140351	0.04386
[106,108[	107	16	0.280702	0.421053	0.140351
[108,110[	109	19	0.333333	0.754386	0.166667
[110,112[	111	6	0.105263	0.859649	0.052632
[112,114[	113	3	0.052632	0.912281	0.026316
[114,116[	115	3	0.052632	0.964912	0.026316
[116,118]	117	2	0.035088	1	0.017544

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[100,102[ & 101 & 2 & 0.035088 & 0.035088 & 0.017544 \tabularnewline
[102,104[ & 103 & 1 & 0.017544 & 0.052632 & 0.008772 \tabularnewline
[104,106[ & 105 & 5 & 0.087719 & 0.140351 & 0.04386 \tabularnewline
[106,108[ & 107 & 16 & 0.280702 & 0.421053 & 0.140351 \tabularnewline
[108,110[ & 109 & 19 & 0.333333 & 0.754386 & 0.166667 \tabularnewline
[110,112[ & 111 & 6 & 0.105263 & 0.859649 & 0.052632 \tabularnewline
[112,114[ & 113 & 3 & 0.052632 & 0.912281 & 0.026316 \tabularnewline
[114,116[ & 115 & 3 & 0.052632 & 0.964912 & 0.026316 \tabularnewline
[116,118] & 117 & 2 & 0.035088 & 1 & 0.017544 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51316&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][100,102[[/C][C]101[/C][C]2[/C][C]0.035088[/C][C]0.035088[/C][C]0.017544[/C][/ROW]
[ROW][C][102,104[[/C][C]103[/C][C]1[/C][C]0.017544[/C][C]0.052632[/C][C]0.008772[/C][/ROW]
[ROW][C][104,106[[/C][C]105[/C][C]5[/C][C]0.087719[/C][C]0.140351[/C][C]0.04386[/C][/ROW]
[ROW][C][106,108[[/C][C]107[/C][C]16[/C][C]0.280702[/C][C]0.421053[/C][C]0.140351[/C][/ROW]
[ROW][C][108,110[[/C][C]109[/C][C]19[/C][C]0.333333[/C][C]0.754386[/C][C]0.166667[/C][/ROW]
[ROW][C][110,112[[/C][C]111[/C][C]6[/C][C]0.105263[/C][C]0.859649[/C][C]0.052632[/C][/ROW]
[ROW][C][112,114[[/C][C]113[/C][C]3[/C][C]0.052632[/C][C]0.912281[/C][C]0.026316[/C][/ROW]
[ROW][C][114,116[[/C][C]115[/C][C]3[/C][C]0.052632[/C][C]0.964912[/C][C]0.026316[/C][/ROW]
[ROW][C][116,118][/C][C]117[/C][C]2[/C][C]0.035088[/C][C]1[/C][C]0.017544[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51316&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51316&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
[100,102[	101	2	0.035088	0.035088	0.017544
[102,104[	103	1	0.017544	0.052632	0.008772
[104,106[	105	5	0.087719	0.140351	0.04386
[106,108[	107	16	0.280702	0.421053	0.140351
[108,110[	109	19	0.333333	0.754386	0.166667
[110,112[	111	6	0.105263	0.859649	0.052632
[112,114[	113	3	0.052632	0.912281	0.026316
[114,116[	115	3	0.052632	0.964912	0.026316
[116,118]	117	2	0.035088	1	0.017544

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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Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code