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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, 08 Oct 2012 17:11:24 -0400

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/2012/Oct/08/t1349730779ps05d7c5hs8dg6x.htm/, Retrieved Thu, 02 May 2024 02:52:58 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=174331, Retrieved Thu, 02 May 2024 02:52:58 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

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

-     [Histogram] [] [2012-09-22 12:27:15] [128e58518e3986e62ec69e9f9cf25987]
- R P     [Histogram] [histogram 3] [2012-10-08 21:11:24] [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	1 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

\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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174331&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174331&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174331&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	'Gertrude Mary Cox' @ cox.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[49.5,50[	49.75	1	0.013889	0.013889	0.027778
[50,50.5[	50.25	7	0.097222	0.111111	0.194444
[50.5,51[	50.75	4	0.055556	0.166667	0.111111
[51,51.5[	51.25	10	0.138889	0.305556	0.277778
[51.5,52[	51.75	6	0.083333	0.388889	0.166667
[52,52.5[	52.25	4	0.055556	0.444444	0.111111
[52.5,53[	52.75	13	0.180556	0.625	0.361111
[53,53.5[	53.25	5	0.069444	0.694444	0.138889
[53.5,54[	53.75	2	0.027778	0.722222	0.055556
[54,54.5[	54.25	9	0.125	0.847222	0.25
[54.5,55[	54.75	2	0.027778	0.875	0.055556
[55,55.5[	55.25	0	0	0.875	0
[55.5,56[	55.75	1	0.013889	0.888889	0.027778
[56,56.5[	56.25	6	0.083333	0.972222	0.166667
[56.5,57]	56.75	2	0.027778	1	0.055556

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[49.5,50[ & 49.75 & 1 & 0.013889 & 0.013889 & 0.027778 \tabularnewline
[50,50.5[ & 50.25 & 7 & 0.097222 & 0.111111 & 0.194444 \tabularnewline
[50.5,51[ & 50.75 & 4 & 0.055556 & 0.166667 & 0.111111 \tabularnewline
[51,51.5[ & 51.25 & 10 & 0.138889 & 0.305556 & 0.277778 \tabularnewline
[51.5,52[ & 51.75 & 6 & 0.083333 & 0.388889 & 0.166667 \tabularnewline
[52,52.5[ & 52.25 & 4 & 0.055556 & 0.444444 & 0.111111 \tabularnewline
[52.5,53[ & 52.75 & 13 & 0.180556 & 0.625 & 0.361111 \tabularnewline
[53,53.5[ & 53.25 & 5 & 0.069444 & 0.694444 & 0.138889 \tabularnewline
[53.5,54[ & 53.75 & 2 & 0.027778 & 0.722222 & 0.055556 \tabularnewline
[54,54.5[ & 54.25 & 9 & 0.125 & 0.847222 & 0.25 \tabularnewline
[54.5,55[ & 54.75 & 2 & 0.027778 & 0.875 & 0.055556 \tabularnewline
[55,55.5[ & 55.25 & 0 & 0 & 0.875 & 0 \tabularnewline
[55.5,56[ & 55.75 & 1 & 0.013889 & 0.888889 & 0.027778 \tabularnewline
[56,56.5[ & 56.25 & 6 & 0.083333 & 0.972222 & 0.166667 \tabularnewline
[56.5,57] & 56.75 & 2 & 0.027778 & 1 & 0.055556 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174331&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][49.5,50[[/C][C]49.75[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]0.027778[/C][/ROW]
[ROW][C][50,50.5[[/C][C]50.25[/C][C]7[/C][C]0.097222[/C][C]0.111111[/C][C]0.194444[/C][/ROW]
[ROW][C][50.5,51[[/C][C]50.75[/C][C]4[/C][C]0.055556[/C][C]0.166667[/C][C]0.111111[/C][/ROW]
[ROW][C][51,51.5[[/C][C]51.25[/C][C]10[/C][C]0.138889[/C][C]0.305556[/C][C]0.277778[/C][/ROW]
[ROW][C][51.5,52[[/C][C]51.75[/C][C]6[/C][C]0.083333[/C][C]0.388889[/C][C]0.166667[/C][/ROW]
[ROW][C][52,52.5[[/C][C]52.25[/C][C]4[/C][C]0.055556[/C][C]0.444444[/C][C]0.111111[/C][/ROW]
[ROW][C][52.5,53[[/C][C]52.75[/C][C]13[/C][C]0.180556[/C][C]0.625[/C][C]0.361111[/C][/ROW]
[ROW][C][53,53.5[[/C][C]53.25[/C][C]5[/C][C]0.069444[/C][C]0.694444[/C][C]0.138889[/C][/ROW]
[ROW][C][53.5,54[[/C][C]53.75[/C][C]2[/C][C]0.027778[/C][C]0.722222[/C][C]0.055556[/C][/ROW]
[ROW][C][54,54.5[[/C][C]54.25[/C][C]9[/C][C]0.125[/C][C]0.847222[/C][C]0.25[/C][/ROW]
[ROW][C][54.5,55[[/C][C]54.75[/C][C]2[/C][C]0.027778[/C][C]0.875[/C][C]0.055556[/C][/ROW]
[ROW][C][55,55.5[[/C][C]55.25[/C][C]0[/C][C]0[/C][C]0.875[/C][C]0[/C][/ROW]
[ROW][C][55.5,56[[/C][C]55.75[/C][C]1[/C][C]0.013889[/C][C]0.888889[/C][C]0.027778[/C][/ROW]
[ROW][C][56,56.5[[/C][C]56.25[/C][C]6[/C][C]0.083333[/C][C]0.972222[/C][C]0.166667[/C][/ROW]
[ROW][C][56.5,57][/C][C]56.75[/C][C]2[/C][C]0.027778[/C][C]1[/C][C]0.055556[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174331&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174331&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
[49.5,50[	49.75	1	0.013889	0.013889	0.027778
[50,50.5[	50.25	7	0.097222	0.111111	0.194444
[50.5,51[	50.75	4	0.055556	0.166667	0.111111
[51,51.5[	51.25	10	0.138889	0.305556	0.277778
[51.5,52[	51.75	6	0.083333	0.388889	0.166667
[52,52.5[	52.25	4	0.055556	0.444444	0.111111
[52.5,53[	52.75	13	0.180556	0.625	0.361111
[53,53.5[	53.25	5	0.069444	0.694444	0.138889
[53.5,54[	53.75	2	0.027778	0.722222	0.055556
[54,54.5[	54.25	9	0.125	0.847222	0.25
[54.5,55[	54.75	2	0.027778	0.875	0.055556
[55,55.5[	55.25	0	0	0.875	0
[55.5,56[	55.75	1	0.013889	0.888889	0.027778
[56,56.5[	56.25	6	0.083333	0.972222	0.166667
[56.5,57]	56.75	2	0.027778	1	0.055556

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 15 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 15 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

R code (references can be found in the software module):

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '4'
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.numeric(x[1])) {
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)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
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')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code