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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, 18 Feb 2016 09:13:36 +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/18/t14557869461tnsxv1mezwlruq.htm/, Retrieved Mon, 06 May 2024 22:50:35 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292112, Retrieved Mon, 06 May 2024 22:50:35 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

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

-       [Histogram] [Benzine gebruik v...] [2016-02-18 09:13:36] [8fd6d867e46a5221be3e0a22eb2f8c7a] [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	0 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 & 0 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292112&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]0 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=292112&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292112&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	0 seconds
R Server	'George Udny Yule' @ yule.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[78,80[	79	1	0.016667	0.016667	0.008333
[80,82[	81	1	0.016667	0.033333	0.008333
[82,84[	83	4	0.066667	0.1	0.033333
[84,86[	85	0	0	0.1	0
[86,88[	87	2	0.033333	0.133333	0.016667
[88,90[	89	2	0.033333	0.166667	0.016667
[90,92[	91	1	0.016667	0.183333	0.008333
[92,94[	93	5	0.083333	0.266667	0.041667
[94,96[	95	1	0.016667	0.283333	0.008333
[96,98[	97	13	0.216667	0.5	0.108333
[98,100[	99	12	0.2	0.7	0.1
[100,102[	101	10	0.166667	0.866667	0.083333
[102,104[	103	2	0.033333	0.9	0.016667
[104,106[	105	4	0.066667	0.966667	0.033333
[106,108[	107	0	0	0.966667	0
[108,110]	109	2	0.033333	1	0.016667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[78,80[ & 79 & 1 & 0.016667 & 0.016667 & 0.008333 \tabularnewline
[80,82[ & 81 & 1 & 0.016667 & 0.033333 & 0.008333 \tabularnewline
[82,84[ & 83 & 4 & 0.066667 & 0.1 & 0.033333 \tabularnewline
[84,86[ & 85 & 0 & 0 & 0.1 & 0 \tabularnewline
[86,88[ & 87 & 2 & 0.033333 & 0.133333 & 0.016667 \tabularnewline
[88,90[ & 89 & 2 & 0.033333 & 0.166667 & 0.016667 \tabularnewline
[90,92[ & 91 & 1 & 0.016667 & 0.183333 & 0.008333 \tabularnewline
[92,94[ & 93 & 5 & 0.083333 & 0.266667 & 0.041667 \tabularnewline
[94,96[ & 95 & 1 & 0.016667 & 0.283333 & 0.008333 \tabularnewline
[96,98[ & 97 & 13 & 0.216667 & 0.5 & 0.108333 \tabularnewline
[98,100[ & 99 & 12 & 0.2 & 0.7 & 0.1 \tabularnewline
[100,102[ & 101 & 10 & 0.166667 & 0.866667 & 0.083333 \tabularnewline
[102,104[ & 103 & 2 & 0.033333 & 0.9 & 0.016667 \tabularnewline
[104,106[ & 105 & 4 & 0.066667 & 0.966667 & 0.033333 \tabularnewline
[106,108[ & 107 & 0 & 0 & 0.966667 & 0 \tabularnewline
[108,110] & 109 & 2 & 0.033333 & 1 & 0.016667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292112&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][78,80[[/C][C]79[/C][C]1[/C][C]0.016667[/C][C]0.016667[/C][C]0.008333[/C][/ROW]
[ROW][C][80,82[[/C][C]81[/C][C]1[/C][C]0.016667[/C][C]0.033333[/C][C]0.008333[/C][/ROW]
[ROW][C][82,84[[/C][C]83[/C][C]4[/C][C]0.066667[/C][C]0.1[/C][C]0.033333[/C][/ROW]
[ROW][C][84,86[[/C][C]85[/C][C]0[/C][C]0[/C][C]0.1[/C][C]0[/C][/ROW]
[ROW][C][86,88[[/C][C]87[/C][C]2[/C][C]0.033333[/C][C]0.133333[/C][C]0.016667[/C][/ROW]
[ROW][C][88,90[[/C][C]89[/C][C]2[/C][C]0.033333[/C][C]0.166667[/C][C]0.016667[/C][/ROW]
[ROW][C][90,92[[/C][C]91[/C][C]1[/C][C]0.016667[/C][C]0.183333[/C][C]0.008333[/C][/ROW]
[ROW][C][92,94[[/C][C]93[/C][C]5[/C][C]0.083333[/C][C]0.266667[/C][C]0.041667[/C][/ROW]
[ROW][C][94,96[[/C][C]95[/C][C]1[/C][C]0.016667[/C][C]0.283333[/C][C]0.008333[/C][/ROW]
[ROW][C][96,98[[/C][C]97[/C][C]13[/C][C]0.216667[/C][C]0.5[/C][C]0.108333[/C][/ROW]
[ROW][C][98,100[[/C][C]99[/C][C]12[/C][C]0.2[/C][C]0.7[/C][C]0.1[/C][/ROW]
[ROW][C][100,102[[/C][C]101[/C][C]10[/C][C]0.166667[/C][C]0.866667[/C][C]0.083333[/C][/ROW]
[ROW][C][102,104[[/C][C]103[/C][C]2[/C][C]0.033333[/C][C]0.9[/C][C]0.016667[/C][/ROW]
[ROW][C][104,106[[/C][C]105[/C][C]4[/C][C]0.066667[/C][C]0.966667[/C][C]0.033333[/C][/ROW]
[ROW][C][106,108[[/C][C]107[/C][C]0[/C][C]0[/C][C]0.966667[/C][C]0[/C][/ROW]
[ROW][C][108,110][/C][C]109[/C][C]2[/C][C]0.033333[/C][C]1[/C][C]0.016667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292112&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292112&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
[78,80[	79	1	0.016667	0.016667	0.008333
[80,82[	81	1	0.016667	0.033333	0.008333
[82,84[	83	4	0.066667	0.1	0.033333
[84,86[	85	0	0	0.1	0
[86,88[	87	2	0.033333	0.133333	0.016667
[88,90[	89	2	0.033333	0.166667	0.016667
[90,92[	91	1	0.016667	0.183333	0.008333
[92,94[	93	5	0.083333	0.266667	0.041667
[94,96[	95	1	0.016667	0.283333	0.008333
[96,98[	97	13	0.216667	0.5	0.108333
[98,100[	99	12	0.2	0.7	0.1
[100,102[	101	10	0.166667	0.866667	0.083333
[102,104[	103	2	0.033333	0.9	0.016667
[104,106[	105	4	0.066667	0.966667	0.033333
[106,108[	107	0	0	0.966667	0
[108,110]	109	2	0.033333	1	0.016667

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 16 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 16 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

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

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '20'
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