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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Fri, 28 Sep 2012 09:05:58 -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/Sep/28/t1348837921pa8fptcg9mcubq4.htm/, Retrieved Sat, 04 May 2024 18:16:33 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=170325, Retrieved Sat, 04 May 2024 18:16:33 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

109

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

-     [Univariate Data Series] [] [2012-09-23 16:40:30] [6b2541656da62508fd6d15a319594d56]
- RMPD    [Histogram] [] [2012-09-28 13:05:58] [db26a86bf4adac007852ad52c5e0cac3] [Current]

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Dataseries X:

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Histogram

Boxplots

3.65
3.66
3.69
3.7
3.7
3.71
3.71
3.71
3.72
3.72
3.73
3.74
3.78
3.78
3.79
3.79
3.8
3.81
3.83
3.84
3.88
3.91
3.96
3.96
3.97
3.98
3.99
3.99
4
4
4.02
4.02
4.02
4.03
4.03
4.03
4.04
4.04
4.05
4.05
4.05
4.05
4.06
4.06
4.06
4.06
4.07
4.07
4.08
4.08
4.08
4.09
4.09
4.09
4.09
4.1
4.1
4.11
4.11
4.12
4.12
4.12
4.12
4.12
4.15
4.15
4.15
4.15
4.16
4.16
4.16
4.2

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=170325&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=170325&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170325&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
[3.65,3.7[	3.675	3	0.041667	0.041667	0.833333
[3.7,3.75[	3.725	9	0.125	0.166667	2.5
[3.75,3.8[	3.775	4	0.055556	0.222222	1.111111
[3.8,3.85[	3.825	4	0.055556	0.277778	1.111111
[3.85,3.9[	3.875	1	0.013889	0.291667	0.277778
[3.9,3.95[	3.925	1	0.013889	0.305556	0.277778
[3.95,4[	3.975	6	0.083333	0.388889	1.666667
[4,4.05[	4.025	10	0.138889	0.527778	2.777778
[4.05,4.1[	4.075	17	0.236111	0.763889	4.722222
[4.1,4.15[	4.125	9	0.125	0.888889	2.5
[4.15,4.2]	4.175	8	0.111111	1	2.222222

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[3.65,3.7[ & 3.675 & 3 & 0.041667 & 0.041667 & 0.833333 \tabularnewline
[3.7,3.75[ & 3.725 & 9 & 0.125 & 0.166667 & 2.5 \tabularnewline
[3.75,3.8[ & 3.775 & 4 & 0.055556 & 0.222222 & 1.111111 \tabularnewline
[3.8,3.85[ & 3.825 & 4 & 0.055556 & 0.277778 & 1.111111 \tabularnewline
[3.85,3.9[ & 3.875 & 1 & 0.013889 & 0.291667 & 0.277778 \tabularnewline
[3.9,3.95[ & 3.925 & 1 & 0.013889 & 0.305556 & 0.277778 \tabularnewline
[3.95,4[ & 3.975 & 6 & 0.083333 & 0.388889 & 1.666667 \tabularnewline
[4,4.05[ & 4.025 & 10 & 0.138889 & 0.527778 & 2.777778 \tabularnewline
[4.05,4.1[ & 4.075 & 17 & 0.236111 & 0.763889 & 4.722222 \tabularnewline
[4.1,4.15[ & 4.125 & 9 & 0.125 & 0.888889 & 2.5 \tabularnewline
[4.15,4.2] & 4.175 & 8 & 0.111111 & 1 & 2.222222 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170325&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][3.65,3.7[[/C][C]3.675[/C][C]3[/C][C]0.041667[/C][C]0.041667[/C][C]0.833333[/C][/ROW]
[ROW][C][3.7,3.75[[/C][C]3.725[/C][C]9[/C][C]0.125[/C][C]0.166667[/C][C]2.5[/C][/ROW]
[ROW][C][3.75,3.8[[/C][C]3.775[/C][C]4[/C][C]0.055556[/C][C]0.222222[/C][C]1.111111[/C][/ROW]
[ROW][C][3.8,3.85[[/C][C]3.825[/C][C]4[/C][C]0.055556[/C][C]0.277778[/C][C]1.111111[/C][/ROW]
[ROW][C][3.85,3.9[[/C][C]3.875[/C][C]1[/C][C]0.013889[/C][C]0.291667[/C][C]0.277778[/C][/ROW]
[ROW][C][3.9,3.95[[/C][C]3.925[/C][C]1[/C][C]0.013889[/C][C]0.305556[/C][C]0.277778[/C][/ROW]
[ROW][C][3.95,4[[/C][C]3.975[/C][C]6[/C][C]0.083333[/C][C]0.388889[/C][C]1.666667[/C][/ROW]
[ROW][C][4,4.05[[/C][C]4.025[/C][C]10[/C][C]0.138889[/C][C]0.527778[/C][C]2.777778[/C][/ROW]
[ROW][C][4.05,4.1[[/C][C]4.075[/C][C]17[/C][C]0.236111[/C][C]0.763889[/C][C]4.722222[/C][/ROW]
[ROW][C][4.1,4.15[[/C][C]4.125[/C][C]9[/C][C]0.125[/C][C]0.888889[/C][C]2.5[/C][/ROW]
[ROW][C][4.15,4.2][/C][C]4.175[/C][C]8[/C][C]0.111111[/C][C]1[/C][C]2.222222[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170325&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170325&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
[3.65,3.7[	3.675	3	0.041667	0.041667	0.833333
[3.7,3.75[	3.725	9	0.125	0.166667	2.5
[3.75,3.8[	3.775	4	0.055556	0.222222	1.111111
[3.8,3.85[	3.825	4	0.055556	0.277778	1.111111
[3.85,3.9[	3.875	1	0.013889	0.291667	0.277778
[3.9,3.95[	3.925	1	0.013889	0.305556	0.277778
[3.95,4[	3.975	6	0.083333	0.388889	1.666667
[4,4.05[	4.025	10	0.138889	0.527778	2.777778
[4.05,4.1[	4.075	17	0.236111	0.763889	4.722222
[4.1,4.15[	4.125	9	0.125	0.888889	2.5
[4.15,4.2]	4.175	8	0.111111	1	2.222222

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.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