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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Thu, 04 Oct 2012 14:53:54 -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/04/t1349376891tms0w2hakb5cns9.htm/, Retrieved Mon, 29 Apr 2024 14:16:26 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=172077, Retrieved Mon, 29 Apr 2024 14:16:26 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Gemiddelde prijs van een salade Ni�oise (in euro)

Estimated Impact

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

-       [Histogram] [Prijs van een sal...] [2012-10-04 18:53:54] [53258e2a15b9513ddb11a4655ef48ebf] [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	'Sir Ronald Aylmer Fisher' @ fisher.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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172077&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172077&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172077&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	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[9.2,9.4[	9.3	3	0.041667	0.041667	0.208333
[9.4,9.6[	9.5	7	0.097222	0.138889	0.486111
[9.6,9.8[	9.7	6	0.083333	0.222222	0.416667
[9.8,10[	9.9	6	0.083333	0.305556	0.416667
[10,10.2[	10.1	6	0.083333	0.388889	0.416667
[10.2,10.4[	10.3	5	0.069444	0.458333	0.347222
[10.4,10.6[	10.5	4	0.055556	0.513889	0.277778
[10.6,10.8[	10.7	6	0.083333	0.597222	0.416667
[10.8,11[	10.9	7	0.097222	0.694444	0.486111
[11,11.2[	11.1	5	0.069444	0.763889	0.347222
[11.2,11.4[	11.3	6	0.083333	0.847222	0.416667
[11.4,11.6[	11.5	4	0.055556	0.902778	0.277778
[11.6,11.8]	11.7	7	0.097222	1	0.486111

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[9.2,9.4[ & 9.3 & 3 & 0.041667 & 0.041667 & 0.208333 \tabularnewline
[9.4,9.6[ & 9.5 & 7 & 0.097222 & 0.138889 & 0.486111 \tabularnewline
[9.6,9.8[ & 9.7 & 6 & 0.083333 & 0.222222 & 0.416667 \tabularnewline
[9.8,10[ & 9.9 & 6 & 0.083333 & 0.305556 & 0.416667 \tabularnewline
[10,10.2[ & 10.1 & 6 & 0.083333 & 0.388889 & 0.416667 \tabularnewline
[10.2,10.4[ & 10.3 & 5 & 0.069444 & 0.458333 & 0.347222 \tabularnewline
[10.4,10.6[ & 10.5 & 4 & 0.055556 & 0.513889 & 0.277778 \tabularnewline
[10.6,10.8[ & 10.7 & 6 & 0.083333 & 0.597222 & 0.416667 \tabularnewline
[10.8,11[ & 10.9 & 7 & 0.097222 & 0.694444 & 0.486111 \tabularnewline
[11,11.2[ & 11.1 & 5 & 0.069444 & 0.763889 & 0.347222 \tabularnewline
[11.2,11.4[ & 11.3 & 6 & 0.083333 & 0.847222 & 0.416667 \tabularnewline
[11.4,11.6[ & 11.5 & 4 & 0.055556 & 0.902778 & 0.277778 \tabularnewline
[11.6,11.8] & 11.7 & 7 & 0.097222 & 1 & 0.486111 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172077&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][9.2,9.4[[/C][C]9.3[/C][C]3[/C][C]0.041667[/C][C]0.041667[/C][C]0.208333[/C][/ROW]
[ROW][C][9.4,9.6[[/C][C]9.5[/C][C]7[/C][C]0.097222[/C][C]0.138889[/C][C]0.486111[/C][/ROW]
[ROW][C][9.6,9.8[[/C][C]9.7[/C][C]6[/C][C]0.083333[/C][C]0.222222[/C][C]0.416667[/C][/ROW]
[ROW][C][9.8,10[[/C][C]9.9[/C][C]6[/C][C]0.083333[/C][C]0.305556[/C][C]0.416667[/C][/ROW]
[ROW][C][10,10.2[[/C][C]10.1[/C][C]6[/C][C]0.083333[/C][C]0.388889[/C][C]0.416667[/C][/ROW]
[ROW][C][10.2,10.4[[/C][C]10.3[/C][C]5[/C][C]0.069444[/C][C]0.458333[/C][C]0.347222[/C][/ROW]
[ROW][C][10.4,10.6[[/C][C]10.5[/C][C]4[/C][C]0.055556[/C][C]0.513889[/C][C]0.277778[/C][/ROW]
[ROW][C][10.6,10.8[[/C][C]10.7[/C][C]6[/C][C]0.083333[/C][C]0.597222[/C][C]0.416667[/C][/ROW]
[ROW][C][10.8,11[[/C][C]10.9[/C][C]7[/C][C]0.097222[/C][C]0.694444[/C][C]0.486111[/C][/ROW]
[ROW][C][11,11.2[[/C][C]11.1[/C][C]5[/C][C]0.069444[/C][C]0.763889[/C][C]0.347222[/C][/ROW]
[ROW][C][11.2,11.4[[/C][C]11.3[/C][C]6[/C][C]0.083333[/C][C]0.847222[/C][C]0.416667[/C][/ROW]
[ROW][C][11.4,11.6[[/C][C]11.5[/C][C]4[/C][C]0.055556[/C][C]0.902778[/C][C]0.277778[/C][/ROW]
[ROW][C][11.6,11.8][/C][C]11.7[/C][C]7[/C][C]0.097222[/C][C]1[/C][C]0.486111[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172077&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172077&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
[9.2,9.4[	9.3	3	0.041667	0.041667	0.208333
[9.4,9.6[	9.5	7	0.097222	0.138889	0.486111
[9.6,9.8[	9.7	6	0.083333	0.222222	0.416667
[9.8,10[	9.9	6	0.083333	0.305556	0.416667
[10,10.2[	10.1	6	0.083333	0.388889	0.416667
[10.2,10.4[	10.3	5	0.069444	0.458333	0.347222
[10.4,10.6[	10.5	4	0.055556	0.513889	0.277778
[10.6,10.8[	10.7	6	0.083333	0.597222	0.416667
[10.8,11[	10.9	7	0.097222	0.694444	0.486111
[11,11.2[	11.1	5	0.069444	0.763889	0.347222
[11.2,11.4[	11.3	6	0.083333	0.847222	0.416667
[11.4,11.6[	11.5	4	0.055556	0.902778	0.277778
[11.6,11.8]	11.7	7	0.097222	1	0.486111

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 3 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 12 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

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

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '3'
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