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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Mon, 22 Feb 2016 17:30:07 +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/2016/Feb/22/t1456162249ky139py1iwe8bxp.htm/, Retrieved Fri, 03 May 2024 10:30:25 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292410, Retrieved Fri, 03 May 2024 10:30:25 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

103

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

-     [Univariate Data Series] [Consumptieprijsin...] [2016-02-08 15:25:50] [0c8f342ac29a3044116b761b17bc0fb7]
- RMP     [Histogram] [] [2016-02-22 17:30:07] [383002b29a4d7fe40259202a4bc884b2] [Current]
- R P       [Histogram] [] [2016-02-22 18:49:50] [f9ab6a9bcba452fc9440db3104e9e78f] 
-   P         [Histogram] [] [2016-02-22 18:58:31] [588a76e56dbe7fb46b0fa630eb6cb6b1] 

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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	1 seconds
R Server	'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292410&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292410&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292410&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	'Herman Ole Andreas Wold' @ wold.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[85,90[	87.5	21	0.175	0.175	0.035
[90,95[	92.5	24	0.2	0.375	0.04
[95,100[	97.5	48	0.4	0.775	0.08
[100,105[	102.5	24	0.2	0.975	0.04
[105,110[	107.5	0	0	0.975	0
[110,115[	112.5	0	0	0.975	0
[115,120[	117.5	0	0	0.975	0
[120,125[	122.5	0	0	0.975	0
[125,130[	127.5	0	0	0.975	0
[130,135]	132.5	3	0.025	1	0.005

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[85,90[ & 87.5 & 21 & 0.175 & 0.175 & 0.035 \tabularnewline
[90,95[ & 92.5 & 24 & 0.2 & 0.375 & 0.04 \tabularnewline
[95,100[ & 97.5 & 48 & 0.4 & 0.775 & 0.08 \tabularnewline
[100,105[ & 102.5 & 24 & 0.2 & 0.975 & 0.04 \tabularnewline
[105,110[ & 107.5 & 0 & 0 & 0.975 & 0 \tabularnewline
[110,115[ & 112.5 & 0 & 0 & 0.975 & 0 \tabularnewline
[115,120[ & 117.5 & 0 & 0 & 0.975 & 0 \tabularnewline
[120,125[ & 122.5 & 0 & 0 & 0.975 & 0 \tabularnewline
[125,130[ & 127.5 & 0 & 0 & 0.975 & 0 \tabularnewline
[130,135] & 132.5 & 3 & 0.025 & 1 & 0.005 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292410&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][85,90[[/C][C]87.5[/C][C]21[/C][C]0.175[/C][C]0.175[/C][C]0.035[/C][/ROW]
[ROW][C][90,95[[/C][C]92.5[/C][C]24[/C][C]0.2[/C][C]0.375[/C][C]0.04[/C][/ROW]
[ROW][C][95,100[[/C][C]97.5[/C][C]48[/C][C]0.4[/C][C]0.775[/C][C]0.08[/C][/ROW]
[ROW][C][100,105[[/C][C]102.5[/C][C]24[/C][C]0.2[/C][C]0.975[/C][C]0.04[/C][/ROW]
[ROW][C][105,110[[/C][C]107.5[/C][C]0[/C][C]0[/C][C]0.975[/C][C]0[/C][/ROW]
[ROW][C][110,115[[/C][C]112.5[/C][C]0[/C][C]0[/C][C]0.975[/C][C]0[/C][/ROW]
[ROW][C][115,120[[/C][C]117.5[/C][C]0[/C][C]0[/C][C]0.975[/C][C]0[/C][/ROW]
[ROW][C][120,125[[/C][C]122.5[/C][C]0[/C][C]0[/C][C]0.975[/C][C]0[/C][/ROW]
[ROW][C][125,130[[/C][C]127.5[/C][C]0[/C][C]0[/C][C]0.975[/C][C]0[/C][/ROW]
[ROW][C][130,135][/C][C]132.5[/C][C]3[/C][C]0.025[/C][C]1[/C][C]0.005[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292410&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292410&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
[85,90[	87.5	21	0.175	0.175	0.035
[90,95[	92.5	24	0.2	0.375	0.04
[95,100[	97.5	48	0.4	0.775	0.08
[100,105[	102.5	24	0.2	0.975	0.04
[105,110[	107.5	0	0	0.975	0
[110,115[	112.5	0	0	0.975	0
[115,120[	117.5	0	0	0.975	0
[120,125[	122.5	0	0	0.975	0
[125,130[	127.5	0	0	0.975	0
[130,135]	132.5	3	0.025	1	0.005

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 {
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