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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Sun, 06 Jun 2010 16:41:13 +0000

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/2010/Jun/06/t1275842925eazsl2bbtm9k47q.htm/, Retrieved Sat, 27 Apr 2024 18:03:58 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=77749, Retrieved Sat, 27 Apr 2024 18:03:58 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

145

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

-       [Histogram] [] [2010-06-06 16:41:13] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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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=77749&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=77749&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77749&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
[80,90[	85	2	0.026667	0.026667	0.002667
[90,100[	95	5	0.066667	0.093333	0.006667
[100,110[	105	15	0.2	0.293333	0.02
[110,120[	115	18	0.24	0.533333	0.024
[120,130[	125	13	0.173333	0.706667	0.017333
[130,140[	135	11	0.146667	0.853333	0.014667
[140,150[	145	5	0.066667	0.92	0.006667
[150,160[	155	4	0.053333	0.973333	0.005333
[160,170]	165	2	0.026667	1	0.002667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[80,90[ & 85 & 2 & 0.026667 & 0.026667 & 0.002667 \tabularnewline
[90,100[ & 95 & 5 & 0.066667 & 0.093333 & 0.006667 \tabularnewline
[100,110[ & 105 & 15 & 0.2 & 0.293333 & 0.02 \tabularnewline
[110,120[ & 115 & 18 & 0.24 & 0.533333 & 0.024 \tabularnewline
[120,130[ & 125 & 13 & 0.173333 & 0.706667 & 0.017333 \tabularnewline
[130,140[ & 135 & 11 & 0.146667 & 0.853333 & 0.014667 \tabularnewline
[140,150[ & 145 & 5 & 0.066667 & 0.92 & 0.006667 \tabularnewline
[150,160[ & 155 & 4 & 0.053333 & 0.973333 & 0.005333 \tabularnewline
[160,170] & 165 & 2 & 0.026667 & 1 & 0.002667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77749&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][80,90[[/C][C]85[/C][C]2[/C][C]0.026667[/C][C]0.026667[/C][C]0.002667[/C][/ROW]
[ROW][C][90,100[[/C][C]95[/C][C]5[/C][C]0.066667[/C][C]0.093333[/C][C]0.006667[/C][/ROW]
[ROW][C][100,110[[/C][C]105[/C][C]15[/C][C]0.2[/C][C]0.293333[/C][C]0.02[/C][/ROW]
[ROW][C][110,120[[/C][C]115[/C][C]18[/C][C]0.24[/C][C]0.533333[/C][C]0.024[/C][/ROW]
[ROW][C][120,130[[/C][C]125[/C][C]13[/C][C]0.173333[/C][C]0.706667[/C][C]0.017333[/C][/ROW]
[ROW][C][130,140[[/C][C]135[/C][C]11[/C][C]0.146667[/C][C]0.853333[/C][C]0.014667[/C][/ROW]
[ROW][C][140,150[[/C][C]145[/C][C]5[/C][C]0.066667[/C][C]0.92[/C][C]0.006667[/C][/ROW]
[ROW][C][150,160[[/C][C]155[/C][C]4[/C][C]0.053333[/C][C]0.973333[/C][C]0.005333[/C][/ROW]
[ROW][C][160,170][/C][C]165[/C][C]2[/C][C]0.026667[/C][C]1[/C][C]0.002667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77749&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77749&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
[80,90[	85	2	0.026667	0.026667	0.002667
[90,100[	95	5	0.066667	0.093333	0.006667
[100,110[	105	15	0.2	0.293333	0.02
[110,120[	115	18	0.24	0.533333	0.024
[120,130[	125	13	0.173333	0.706667	0.017333
[130,140[	135	11	0.146667	0.853333	0.014667
[140,150[	145	5	0.066667	0.92	0.006667
[150,160[	155	4	0.053333	0.973333	0.005333
[160,170]	165	2	0.026667	1	0.002667

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