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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, 23 Oct 2015 03:38:10 +0100

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/Oct/23/t14455679449zgniyfix0fgbhm.htm/, Retrieved Tue, 14 May 2024 13:34:55 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=282803, Retrieved Tue, 14 May 2024 13:34:55 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

105

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

-       [Histogram] [Figure 3. Survivo...] [2015-10-23 02:38:10] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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Dataseries X:

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Histogram

Boxplots

0.5
1.1
0.9
1.3
0.4
0.8
1.1
1.1
0.9
1.1
1.1
0.4
1
0.9
1.1
0.6
0.8
0.5
0.6
0.6
1.3
1.1
1.1
1
1.1
0.9
1
1.2
1.1
1
0.5
1.1
1.2
1
1.4
1
1.1
0.9
1.3
1
0.4
0.9
1
0.6
1
0.5
0.6
0.7
0.5
0.8
0.4
0.9
0.6
0.4
1
0.7
0.7
1
0.5
1.1
1.1
1.1
1
1
1.3
1.3
1.3
1.3
1
1
1.1
0.9
1.1
1.2
1.2
1.2
1.4
1.2
0.9

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	'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282803&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282803&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282803&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	'George Udny Yule' @ yule.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[0.4,0.5[	0.45	5	0.063291	0.063291	0.632911
[0.5,0.6[	0.55	6	0.075949	0.139241	0.759494
[0.6,0.7[	0.65	6	0.075949	0.21519	0.759494
[0.7,0.8[	0.75	3	0.037975	0.253165	0.379747
[0.8,0.9[	0.85	3	0.037975	0.291139	0.379747
[0.9,1[	0.95	9	0.113924	0.405063	1.139241
[1,1.1[	1.05	15	0.189873	0.594937	1.898734
[1.1,1.2[	1.15	17	0.21519	0.810127	2.151899
[1.2,1.3[	1.25	6	0.075949	0.886076	0.759494
[1.3,1.4]	1.35	9	0.113924	1	1.139241

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0.4,0.5[ & 0.45 & 5 & 0.063291 & 0.063291 & 0.632911 \tabularnewline
[0.5,0.6[ & 0.55 & 6 & 0.075949 & 0.139241 & 0.759494 \tabularnewline
[0.6,0.7[ & 0.65 & 6 & 0.075949 & 0.21519 & 0.759494 \tabularnewline
[0.7,0.8[ & 0.75 & 3 & 0.037975 & 0.253165 & 0.379747 \tabularnewline
[0.8,0.9[ & 0.85 & 3 & 0.037975 & 0.291139 & 0.379747 \tabularnewline
[0.9,1[ & 0.95 & 9 & 0.113924 & 0.405063 & 1.139241 \tabularnewline
[1,1.1[ & 1.05 & 15 & 0.189873 & 0.594937 & 1.898734 \tabularnewline
[1.1,1.2[ & 1.15 & 17 & 0.21519 & 0.810127 & 2.151899 \tabularnewline
[1.2,1.3[ & 1.25 & 6 & 0.075949 & 0.886076 & 0.759494 \tabularnewline
[1.3,1.4] & 1.35 & 9 & 0.113924 & 1 & 1.139241 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282803&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][0.4,0.5[[/C][C]0.45[/C][C]5[/C][C]0.063291[/C][C]0.063291[/C][C]0.632911[/C][/ROW]
[ROW][C][0.5,0.6[[/C][C]0.55[/C][C]6[/C][C]0.075949[/C][C]0.139241[/C][C]0.759494[/C][/ROW]
[ROW][C][0.6,0.7[[/C][C]0.65[/C][C]6[/C][C]0.075949[/C][C]0.21519[/C][C]0.759494[/C][/ROW]
[ROW][C][0.7,0.8[[/C][C]0.75[/C][C]3[/C][C]0.037975[/C][C]0.253165[/C][C]0.379747[/C][/ROW]
[ROW][C][0.8,0.9[[/C][C]0.85[/C][C]3[/C][C]0.037975[/C][C]0.291139[/C][C]0.379747[/C][/ROW]
[ROW][C][0.9,1[[/C][C]0.95[/C][C]9[/C][C]0.113924[/C][C]0.405063[/C][C]1.139241[/C][/ROW]
[ROW][C][1,1.1[[/C][C]1.05[/C][C]15[/C][C]0.189873[/C][C]0.594937[/C][C]1.898734[/C][/ROW]
[ROW][C][1.1,1.2[[/C][C]1.15[/C][C]17[/C][C]0.21519[/C][C]0.810127[/C][C]2.151899[/C][/ROW]
[ROW][C][1.2,1.3[[/C][C]1.25[/C][C]6[/C][C]0.075949[/C][C]0.886076[/C][C]0.759494[/C][/ROW]
[ROW][C][1.3,1.4][/C][C]1.35[/C][C]9[/C][C]0.113924[/C][C]1[/C][C]1.139241[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282803&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282803&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
[0.4,0.5[	0.45	5	0.063291	0.063291	0.632911
[0.5,0.6[	0.55	6	0.075949	0.139241	0.759494
[0.6,0.7[	0.65	6	0.075949	0.21519	0.759494
[0.7,0.8[	0.75	3	0.037975	0.253165	0.379747
[0.8,0.9[	0.85	3	0.037975	0.291139	0.379747
[0.9,1[	0.95	9	0.113924	0.405063	1.139241
[1,1.1[	1.05	15	0.189873	0.594937	1.898734
[1.1,1.2[	1.15	17	0.21519	0.810127	2.151899
[1.2,1.3[	1.25	6	0.075949	0.886076	0.759494
[1.3,1.4]	1.35	9	0.113924	1	1.139241

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 {
barplot(mytab <- sort(table(x),T),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