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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, 27 Jan 2015 20:05:40 +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/2015/Jan/27/t1422389349qjphiaxz7qg7bem.htm/, Retrieved Thu, 16 May 2024 15:52:43 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=276203, Retrieved Thu, 16 May 2024 15:52:43 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

140

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

-       [Histogram] [] [2015-01-27 20:05:40] [8a8c4bd73c288c653fbb494901d06130] [Current]

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Dataseries X:

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Histogram

Boxplots

2
2.2
1.9
2.3
2.2
2.3
2.1
2.4
2.3
1.9
1.6
1.8
1.8
2
2.3
2.2
2.2
2
2
1.9
1.5
1.6
1.5
2
1.5
1.5
1.9
1.1
1.5
2.1
2.3
2.6
2.9
3.2
3.2
3.1
3
3.3
2.7
3.6
3.1
2.7
2.6
2.2
2.7
2.1
1.8
1.7
1.7
1.2
1.2
1.2
1.5
1.3
1.1
1.2
1.3
1.6
1.9
1.6
2.1
2.2
2.3
2.1
1.7
1.7
2.2
2
1.5
1.5
1.7
2.2
2.6
2.6
2.3
2.3
2.7
2.7
2.5
2.5
2.7
2.6
2.6
2.4
1.4
1.8
2.1
1.7
1.6
1.7
1.8
2
1.9
2
2.1
2.3

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=276203&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=276203&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276203&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
[1,1.5[	1.25	9	0.09375	0.09375	0.1875
[1.5,2[	1.75	31	0.322917	0.416667	0.645833
[2,2.5[	2.25	34	0.354167	0.770833	0.708333
[2.5,3[	2.75	15	0.15625	0.927083	0.3125
[3,3.5[	3.25	6	0.0625	0.989583	0.125
[3.5,4]	3.75	1	0.010417	1	0.020833

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1,1.5[ & 1.25 & 9 & 0.09375 & 0.09375 & 0.1875 \tabularnewline
[1.5,2[ & 1.75 & 31 & 0.322917 & 0.416667 & 0.645833 \tabularnewline
[2,2.5[ & 2.25 & 34 & 0.354167 & 0.770833 & 0.708333 \tabularnewline
[2.5,3[ & 2.75 & 15 & 0.15625 & 0.927083 & 0.3125 \tabularnewline
[3,3.5[ & 3.25 & 6 & 0.0625 & 0.989583 & 0.125 \tabularnewline
[3.5,4] & 3.75 & 1 & 0.010417 & 1 & 0.020833 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276203&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][1,1.5[[/C][C]1.25[/C][C]9[/C][C]0.09375[/C][C]0.09375[/C][C]0.1875[/C][/ROW]
[ROW][C][1.5,2[[/C][C]1.75[/C][C]31[/C][C]0.322917[/C][C]0.416667[/C][C]0.645833[/C][/ROW]
[ROW][C][2,2.5[[/C][C]2.25[/C][C]34[/C][C]0.354167[/C][C]0.770833[/C][C]0.708333[/C][/ROW]
[ROW][C][2.5,3[[/C][C]2.75[/C][C]15[/C][C]0.15625[/C][C]0.927083[/C][C]0.3125[/C][/ROW]
[ROW][C][3,3.5[[/C][C]3.25[/C][C]6[/C][C]0.0625[/C][C]0.989583[/C][C]0.125[/C][/ROW]
[ROW][C][3.5,4][/C][C]3.75[/C][C]1[/C][C]0.010417[/C][C]1[/C][C]0.020833[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276203&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276203&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
[1,1.5[	1.25	9	0.09375	0.09375	0.1875
[1.5,2[	1.75	31	0.322917	0.416667	0.645833
[2,2.5[	2.25	34	0.354167	0.770833	0.708333
[2.5,3[	2.75	15	0.15625	0.927083	0.3125
[3,3.5[	3.25	6	0.0625	0.989583	0.125
[3.5,4]	3.75	1	0.010417	1	0.020833

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):

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